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We estimate a narrative factor pricing model from news text of The Wall Street Journal. Our empirical method integrates topic modeling (LDA), latent factor analysis (IPCA), and variable selection (group lasso). Narrative factors achieve higher out-of-sample Sharpe ratios and smaller pricing errors than standard characteristic-based factor models and predict future investment opportunities in a manner consistent with the ICAPM. We derive an interpretation of the estimated risk factors from narratives in the underlying article text. Authors have furnished an Internet Appendix , which is available on the Oxford University Press Web site next to the link to the final published paper online [ABSTRACT FROM AUTHOR]

Going public by merging with a Special Purpose Acquisition Company (SPAC) is much more expensive than conducting a traditional IPO. We rationalize why some companies merge with a SPAC by listing the potential benefits. We analyze the agency problems that certain SPAC features address. SPAC IPO investors and deal sponsors have earned remarkably high annualized average returns, although we warn that recent deals are likely to disappoint. Public investors in the merged companies have earned very low market-adjusted returns on an equally weighted basis, although high redemptions on the worst deals have limited the amount of money that they lost. Authors have furnished an Internet Appendix , which is available on the Oxford University Press Web site next to the link to the final published paper online. [ABSTRACT FROM AUTHOR]

We investigate whether international operations enhance information links between firms and foreign investors. Exploiting novel subsidiary-level data and within-location variations, we show that, after expanding into another country, a firm attracts greater investment allocation from funds from that country than from other foreign funds. This increase is economically significant, equivalent to one-fifth of the average firm weight in a country-specific portfolio. The observed effect cannot be attributed to funds' influence, persists even when funds are already familiar with the firm, and helps them generate superior risk-adjusted returns. Our results suggest that firms' cross-border economic activities contribute to global financial interconnectedness. [ABSTRACT FROM AUTHOR]

Investors in the financial markets must deal with various hazards, for which they must create prudent investment portfolios and risk management plans. A multi-objective optimisation approach is proposed using the root algorithm to create a multi-objective root system growth model based on many clusters. An investment risk management optimisation model based on root system growth is built into the study using distributed decision-making. To create a multi-objective root algorithm-based portfolio optimisation model, the Markowitz mean-variance model and a multi-objective root algorithm are employed. According to the findings, the multi-group multi-objective root system method has a real Pareto frontier solution that is more accessible, has a faster convergence rate, and has lower fitness values. The root algorithm's solutions are workable, and the final risk values of 0.0105, 0.0082, and 0.4623 for the 2, 4, and 6 investment objectives are all in the low-risk class range. The optimal set of solutions discovered by the algorithm had better distributivity and convergence. The Hypervolume values for the multi-group multi-objective root algorithm were 5.5298 and 3.9628 for the dual-objective portfolio and the tri-objective portfolio of investment return costs, respectively. The findings of this study can guide the development of portfolio and risk management strategies. [ABSTRACT FROM AUTHOR]

Purpose: The aim of the paper is to assess the efficiency of investment portfolios built in the 2017-2022 period, with a particular focus on the COVID-19 pandemic, and to reveal the potential relationship between the real rate of change of dividend payment of the WIG, DAX and S&P500 companies and selected macroeconomic determinants. The analysis will be conducted in the context of the adaptive markets9 hypothesis. Design/methodology/approach: The scientific purpose of the paper is fulfilled by conducting a thorough review of the literature. Empirical data, on the other hand, was studied by quantitative analysis. The authors also employ comparative and descriptive analysis to investigate potential differences between companies listed on selected stock exchanges in terms of dividend payment frequency and rate of change in nominal and real terms. A study of the relationship between the real rate of change of dividends and the macroeconomic determinants of dividend payments was carried out by means of the Fisher equation, Pearson9s linear correlation coefficient and Spearman9s rank correlation coefficient. Findings: The assessment of the efficiency of investment portfolios in the 2017-2022 period revealed that, by choosing strong, trend-following investment portfolios, one could earn high and possibly above-average rates of return. The assumptions of the adaptive markets9 hypothesis appear to be correct in this context. Furthermore, the results of the empirical analyses demonstrate, that most companies listed on the US Stock Exchange paid dividends without interruption. In addition, in the analyzed period, the DAX companies reported the highest average real dividend growth rate. Practical implications: Enhanced knowledge in building and assessing the efficiency of investment portfolios during turbulent periods in the financial markets, in the context of the adaptive market hypothesis. Moreover, knowledge of the similarities and differences between dividend-paying companies listed on different stock exchanges is very important for investors and investment fund boards alike. Consequently, better investment decisions can be made as to where to make efficient capital investments. Social implications: In terms of the social implications of the paper, the most important one seems to be a possible change in attitude of investors towards dividend-paying companies, especially those listed on the international capital market and the acceptance of the adaptive markets9 hypothesis9 assumptions. Originality/value: This paper assesses the efficiency of investment portfolios for the 2017- 2022 period against the appropriateness of considering the adaptive market hypothesis. Another new feature is the comparison of dividend-paying companies9 shares from the perspective of the real rate of change of dividends and the demonstration of the impact of macroeconomic determinants of dividend payments on the inflation-adjusted dividend payment rate of change. [ABSTRACT FROM AUTHOR]

Enhancing legal certainty is one of the main values that are sought in the investor–state dispute settlement system. The importance of legal certainty is strengthened in the case of renewable energy investments, which are in the global public interest, long-term and capital-intensive up-front. The first part of the paper presents the importance of legal certainty in investment arbitration in general, its limits and its importance in the context of the green energy transition. In addition, it addresses the special features of renewable energy investments. The second part of the paper analyses from the perspective of legal certainty the Spanish renewable energy cases initiated under the Energy Charter Treaty (ECT), which deal with similar factual and legal issues. In this respect, the paper presents the varying weight tribunals gave to the important facts that led them further to conclude whether Spain breached the fair and equitable treatment standard, and if so, whether the investor was entitled to full compensation or a reasonable rate of return. In addition, it presents different approaches to perceiving the stability provision of Article 10 (1) of the ECT. The paper concludes that it remains uncertain to what extent RE investors will be protected under the ECT's stability condition in the case of fundamental or small-scale changes. Although one group of arbitrators may argue that the fundamental change triggers per se a breach of a stability condition, others may argue that for the breach to be established, the host state's measures must be arbitrary, unreasonable or discriminatory. Moreover, the threat to legal certainty might not only be the vague provisions of the ECT but also the significant discretion tribunals have towards the interpretation of facts, leading to different outcomes. Indeed, it is at the discretion of arbitrators to consider whether the timing of investment, presence of evidence indicating possible regulatory changes, and the reasonable rate of return prescribed in Spain's domestic law will be relevant or irrelevant. [ABSTRACT FROM AUTHOR]

We study how the market return depends on the time of the day using E-mini S&P 500 futures actively traded around the clock. Strikingly, 4 hours around European open account for the entire average market return. This period's returns have a 1.6 Sharpe ratio and remain high after transaction costs. Average returns are a noisy zero during the remaining 20 hours. High returns are consistent with European investors processing information accumulated overnight and thus resolving uncertainty. Indeed, uncertainty reflected by VIX futures prices rises overnight and falls around European open. The results are stronger during the 2020 COVID crisis. [ABSTRACT FROM AUTHOR]

How do investors' risk preferences influence the relationships between investors' online channel use intensity and both their trading behaviors and performance? This study answers this important question even as investors are increasingly rely on the Internet for their trading activities. We leverage rare and unique micro-level historical dataset from more than 7,000 investor accounts over a 44-month period between 2010 and 2013 at a large brokerage firm in China. The dataset and analyses enable us to provide new insights into how investors' online channel use intensity and risk preferences jointly influence their trading behaviors and performance, even though some other aspects of financial markets have changed considerably over the years. The findings reveal that although online channel use intensity is associated with increased trading volume, trading frequency, and investment returns, these effects differ across investors with different risk preferences. We find that while online channel use intensity has strong positive effects on transaction frequency for both risk-seeking and risk-averse investors, it has a much lower effect on trading volume for risk-averse investors than for risk-seeking investors. We further find that risk-averse investors with higher online channel use intensity outperform investors with other risk preferences in terms of investment performance. This paper contributes to the emerging literature at the intersection of information systems and behavioral finance by revealing the moderating role of risk preferences in the relationships between investors' online trading channel use intensity and both their trading behaviors and outcomes. We discuss the implications for research and practice. [ABSTRACT FROM AUTHOR]

We find evidence of selective exposure to confirmatory information among 400,000 users on the investor social network StockTwits. Self-described bulls are five times more likely to follow a user with a bullish view of the same stock than are self-described bears. Consequently, bulls see 62 more bullish messages and 24 fewer bearish messages than bears do over the same 50-day period. These "echo chambers" exist even among professional investors and are strongest for investors who trade on their beliefs. Finally, beliefs formed in echo chambers are associated with lower ex post returns, more siloing of information, and more trading volume. [ABSTRACT FROM AUTHOR]

This study presents a hybrid multicriteria decision-making approach for evaluating stocks in the Saudi Stock Market. The objective is to provide investors and stakeholders with a robust evaluation methodology to inform their investment decisions. With a market value of USD 2.89 trillion dollars in September 2022, the Saudi Stock Market is of significant importance for the country's economy. However, navigating the complexities of stock market performance poses investment challenges. This study employs the best–worst method and the technique for order preference by similarity to identify an ideal solution to address these challenges. Utilizing data from the Saudi Stock Market (Tadawul), this study evaluates stock performance based on financial criteria, including return on equity, return on assets, net profit margin, and asset turnover. The findings reveal valuable insights, particularly in the banking sector, which exhibited the highest net profit margin ratios among sectors. The hybrid multicriteria decision-making-based approach enhances investment decisions. This research provides a foundation for future investigations, facilitating a deeper exploration and analysis of additional aspects of the Saudi Stock Market's performance. The developed methodology and findings have implications for investors and stakeholders, aiding their investment decisions and maximizing returns. [ABSTRACT FROM AUTHOR]

Many investors are motivated by passive income. Dividend income-seeking strategies have a long history. More recently, interest in derivative income strategies—such as covered calls and put underwriting—continues to develop. Do high derivative income-covered calls tend to deliver higher total returns? No. In fact, the relationship goes the other way. The authors demonstrate a strong negative mechanical relationship between expected total return and derivative income for covered-call strategies. They empirically validate this relationship over a nearly 25-year period on S&P 500 covered-call strategies. Those who have sought out and allocated to such strategies without accounting for this trade-off might have made a devil's bargain. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Economics & Administrative Sciences is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We use proprietary data on intraday transactions at a futures brokerage to analyze how implied leverage influences trading performance. Across all investors, leverage is negatively related to performance, due partly to increased trading costs and partly to forced liquidations resulting from margin calls. Defining skill out‐of‐sample, we find that relative performance differentials across unskilled and skilled investors persist. Unskilled investors' leverage amplifies losses from lottery preferences and the disposition effect. Leverage stimulates liquidity provision by skilled investors, and enhances returns. Although regulatory increases in required margins decrease skilled investors' returns, they enhance overall returns, and attenuate return volatility. [ABSTRACT FROM AUTHOR]

Fintech companies are relatively young and operate in a rapidly evolving and ever-changing industry, which makes it important to understand how different factors, including shareholder presence in management roles, affect their performance. This study investigates the impact of shareholder presence in director and manager positions on the financial performance of Latvian fintechs. Our investigation centers on essential financial ratios, including Return on Assets, Return on Equity, Profit Margin, Liquidity Ratio, Current Ratio, and Solvency Ratio. Our findings suggest that the presence of shareholders in director and manager roles does not significantly affect the financial performance of fintech companies. Although the statistical analysis did not yield significant results, it is important to consider additional insights garnered from Cliff's Delta effect sizes. Specifically, despite the lack of statistical significance, practical significance indicates that fintech companies in which directors and managers are shareholders show slightly better performance than other fintech companies. Beyond shedding light on the intricacies of corporate governance in the fintech sector, this research serves as a valuable resource for investors, stakeholders, and fellow researchers seeking to understand the impact of shareholder presence in director and manager roles on the financial performance of fintechs. [ABSTRACT FROM AUTHOR]

Stock portfolio problems are one of the most relevant real-world problems. In this study, we discuss the portfolio's risk amount, rate of risk-return, and expected return rate under a Fermatean fuzzy environment. A linear programming problem is used to formulate a Fermatean fuzzy portfolio. The Fermatean fuzzy portfolio is converted to a deterministic form using the score function. Lingo software is used to solve these deterministic portfolio problems. The main feature of this model is that investors can select a risk coefficient to enhance predicted returns and customize their strategies according to their circumstances. An example is offered that illustrates the effectiveness and dependability of the proposed approach. [ABSTRACT FROM AUTHOR]

I exploit the leveraged exchange-traded funds' (ETFs') primary market to measure aggregate, uninformed, gambling-like demand, that is, speculation sentiment. The leveraged ETFs' primary market is a novel setting that provides observable arbitrage activity attributed to correcting mispricing between ETFs' shares and their underlying assets. The arbitrage activity proxies for the magnitude and direction of speculative demand shocks and I use them to form the Speculation Sentiment Index. The measure negatively relates to contemporaneous market returns (e.g., it is bullish in down markets) and negatively predicts returns. The results are consistent with speculation sentiment causing market-wide price distortions that later reverse. [ABSTRACT FROM AUTHOR]

We show that international portfolios reflect the underlying heterogeneity in investors' beliefs. Using data on the foreign sovereign debt holdings of European banks matched with their forecasts on future bond yields, we find that expecting higher returns and having more accurate forecasts are associated with larger bond holdings. Crucially, the elasticity of portfolio holdings to expected returns is increasing in the precision of the forecast, implying that investors optimally exploit comparative advantages in information production. We rationalize the results in a model in which partial information specialization arises endogenously by introducing a degree of unlearnable uncertainty about asset payoffs. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online. [ABSTRACT FROM AUTHOR]

This paper demonstrates that value-relevant information about a firm appearing in regulatory disclosures of other firms is overlooked by investors. Firms highly mentioned in the 10-K competition section of other firms tend to outperform with risk-adjusted returns of up to 9 |$\%$| annually. Outperformance is concentrated in firms whose competition references are made in the context of targeting rather than admiration. Consistent with investor inattention, abnormal returns stem from cross-sector competition mentions as well as firms with low-analyst coverage. Moreover, highly mentioned firms exhibit improved fundamentals in subsequent years, further signifying they are underpriced. [ABSTRACT FROM AUTHOR]

This article offers a conceptual framework for developing the Sharīʿah-Compliant Asset Pricing Model (SCAPM) using the Maqāṣid al-Sharīʿah and Islamic Wealth Management (IWM). This article also provides a new perspective on finding Islamic financial benchmarks as an alternative to conventional financial benchmarks in the Islamic finance industry. This research was conducted using a qualitative research method with deep reference to published journal articles and books in the fields of Maqāṣid al-Sharīʿah, Islamic Wealth Management, and asset pricing model. As a measure of the expected minimum rate of return in an asset pricing model, this article proposes the fulfilment of basic necessities (ḍarūriyyāt) and zakāt rate as proxy for investors' required rate of return. This study acknowledges both systematic and non-systematic risk's effects on asset pricing. [ABSTRACT FROM AUTHOR]

The purpose of this study is to test the validity of the mediating role of firms' characteristics and its consequences on the financial reporting quality and performance of publicly quoted firms in sub-Saharan Africa. The study employed a quantitative approach and tested an existing theory by formulating relevant hypotheses. Measures of firms' characteristics include the statistic factor (size) and dynamic factors (return on assets and return on equity as dependent variables; and discretionary cash flow from operating activities less net profit as an independent variable). The sample size consists of one hundred and twelve (112) public firms quoted on stock exchanges in three (3) sub-Saharan African countries from 2012 to 2022. Data obtained were analyzed using fixed effect and random effect panel data regression and structural equation modeling. The results revealed that financial reporting quality positively and insignificantly affects performance. However, financial reporting quality and firms' performance were found to be positively and significantly affected when firms' characteristics (size) were introduced. The implication of these results is that financial reporting quality alone cannot lead to an increase in firms' performance. The size of the firm should be given due consideration to guarantee increased firm performance via high-quality financial reporting. Moreover, the results of this study are expected to offer information to the management of firms, enabling them to fulfill the condition of quality financial reporting so that investors and analysts of capital markets can benefit from determining informed investment decisions. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Application Business & Management / Jurnal Aplikasi Bisnis dan Manajemen is the property of IPB University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The study focuses on the selected aspects of investment measurement and management for the support of financial and economic decision-making of investors in wood-processing sectors. The aim of the study was to analyze the indicators for the structure and cost of capital of furniture and paper/forest branches in Slovakia, quantify the actual expected return on investment based on the selected methodology, and consequently find out the fundamental differences resulting from the specific conditions of given sectors. Methodologically, the study uses procedures for the weighted average cost of capital (WACC), capital asset pricing model (CAPM) for determining the cost of equity, and calculation of the beta coefficient considering the risk premium. The results of the study demonstrated a similar levered beta in both analyzed sectors (1.17 in furniture, 1.20 in paper/forest), but in each sector for a different reason. The expected rate of return is higher in furniture (7.84%) compared to paper/forest products at the level of 6.04%. The findings provide the possibility of comparing the required and expected rate of return on invested capital and making the appropriate long-term investment decisions. [ABSTRACT FROM AUTHOR]

Copyright of Riwayat: Educational Journal of History & Humanities is the property of Riwayat: Educational Journal of History & Humanities and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Investors' perception of performance is biased because the relevant measure, returns, is rarely displayed. Major indices ignore dividends, thereby underreporting market performance. Newspapers are more pessimistic on ex-dividend days, consistent with mistaking the index for returns. Market betas should track returns, but track prices more than dividends, creating predictable returns. Mutual funds receive inflows for "beating the S&P 500" price index based on net asset value (also not a return). Investors extrapolate market indices, not returns, when forming annual performance expectations. Displaying returns by default would ameliorate these issues, which arise despite high attention and agreement on the appropriate measure. [ABSTRACT FROM AUTHOR]

We survey over 1,000 venture capitalists (VCs) on how the COVID-19 pandemic has affected their decisions and investments. Despite the historical importance of in-person meetings, VCs do not report difficulty finding quality entrepreneurs or major changes in time allocation. They do report difficulty in evaluating deals, more investor-friendly terms, and a decreased investment rate, with about one-sixth of VCs reporting pressure from limited partners to conserve capital. Although aggregate returns are largely unchanged, there is high dispersion both within and across funds. A follow-up survey shows faster-than-expected recovery in deal volume, terms, and returns. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this article is to present the results of empirical research concerning the identification of the impact of the transfer of companies from the alternative market to the regulated market of the Warsaw Stock Exchange on their operating and net performance. Design/methodology/approach: The study was conducted based on the empirical data of the companies that changed the listing place on the Warsaw Stock Exchange. Data regarding the years before the transfer were collected from the prospectuses of companies prepared mandatorily in connection with the transition to the regulated market. Data regarding the years of the event and subsequent years were obtained from companies' annual reports. As in other studies in the analysis, the operational metrics were used (operating return on sale, operating return on assets, total asset turnover), which was further extended to net profitability ratios (net return on ale, net return on asset, net return on equity). The significance analysis was based on the Student's t-test and Wilcoxon's test. Findings: The results show that before the transfer from the alternative market to the regulated market, companies improved financial performance. As a result of the change of listing venues, the results already collapsed in the year of the event. The downward trend continued in the following two years, with a noticeable improvement in the third year after the transfer. Originality/value: The literature lacks such studies based on the Polish market. To the best knowledge of the author, this is one of the first studies in Poland showing the changes in operating and net performance of companies changing the stock listing venues. The research is based on a large group including all companies that have changed listing venues since the beginning of the alternative market in Poland. The article presents an original empirical result that can be used both by managers and investors in their decisions. [ABSTRACT FROM AUTHOR]

In India, Goods and Services Tax (GST), introduced on July 1, 2017, has immensely affected the functioning and financial performance of different manufacturing companies. DuPont analysis model is used in this paper for scrutinizing the essential financial performance of such companies. It is an expedient system for decomposing the different drivers of Return on Equity (ROE) that help investors to focus on the key financial aspects, demonstrating the strengths and weaknesses of different companies. The study empirically analyzes the impact of GST on the financial performance of selected manufacturing companies in India, using five-step DuPont model, whereby the Net Income Margin has been brokendown to demonstrate how tax and interest affect ROE, considering financial performance before and after implementation of GST. Moreover, statistical tools like mean, standard deviation, paired correlation, matrix paired t-test and ANOVA test have been used to analyze the data and justify the objectives of the study. [ABSTRACT FROM AUTHOR]

The investment attributes of annuities / pension plans, viz., return and risk, have been a subject of interest among academics and practitioners alike. Investors should carefully consider these factors when choosing an annuity policy to ensure they receive the best return on their investment while managing their risk appropriately. Overall, the findings of the study suggest that individuals' perceptions of their life expectancy play an important role in their decision-making while choosing a pension plan. Our study aims to investigate the place occupied by pensions in the investor's portfolio and examine whether economic, financial, and social changes drive the process of selection of a pension product by the investor vis-à-vis other alternative assets such as risk-free bonds and stocks. One of the major findings of our study is that as the rate of return (ROR) on an immediate life annuity is very low and the risk is high, its demand at lower levels of mortality is declining, while the demand for risk-free bonds and stocks has risen substantially. The study suggests that annuity providers should link immediate annuities to the equity market so as to improve the rate of return and thereby, this will attract more investors. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Application Business & Management / Jurnal Aplikasi Bisnis dan Manajemen is the property of IPB University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: The aim of the article is to examine whether inflation-indexed treasury bonds issued by the Polish Minister of Finance protect investors’ capital against the negative consequences of an increase in the price level. Design/methodology/approach: The condition which has to be met in order to achieve a positive net rate of return in real terms has been established. The historical and current rates of return on investment in the inflation-indexed treasury bonds issued by the Polish Minister of Finance were analysed to check whether they meet this condition. Findings: Own research has shown that in general, operation principle of bonds indexed to inflation should allow the investor to gain protection from negative effects of price changes. Yet, the example of Polish treasury bonds shows that systematic reduction of interest premiums for the subsequent series of issued instruments, changes in the operation principles, negative effect of taxation and materialisation of the defined in article time-shift mismatch risk – in the high-inflation environment results in significantly negative values of the current net rates of return in real terms of the latest series of COI and EDO bonds. This means that these bonds have not protected investors from the negative effects of price increases and loss of purchase power of invested capital. Research limitations/implications: The levels of real rates of return calculated in the way presented in the article, i.e. based on official data of the Statistics Poland, are representative for the entire economy, yet do not have to translate into the same value for the individuals – real rates of return calculated appropriately for the individual investor may vary in both ways and therefore be more or less favourable than presented in the article. Originality/value: The demand for these investment products is increasing, which is surprising in the light of the article’s findings. That may, result from investors’ expectations regarding a decrease in inflation in the coming periods, as well as the fact that, despite the negative profitability in real terms, these instruments can more effectively minimize the real-term losses stemming from inflation than other types of investments of a similar risk level (deposits, savings accounts) what can be furtherly reviewed in the next research. [ABSTRACT FROM AUTHOR]

This study aims to analyze the feasibility of investment in the framework of implementing cooperation in the utilization of assets or goods owned by the local government using descriptive semi -qualitative methods. In conducting the analysis, researchers used the investment feasibility approach is the Net Present Value (NPV) method to measure the present value of the expected net cash flow of a project, Internal Rate of Return (IRR) is the discount rate that makes the NPV of the project zero, Profitability Index (PI) to measure the relationship between the present value of net cash flow and initial investment and Payback Period (PP) is the period of time required to recover the initial investment from net cash flow. In addition, in order to develop tourism potential, researchers use the Segmenting Targeting Positioning (STP) strategy, which is an approach used by companies to understand their markets better and develop effective marketing strategies. The results prove that the cooperation plan for the utilization of assets or goods owned by the local government with partners as investors is feasible because it produces additional net cash flow during the project with a positive present value, and the rate of return on the net value of cash flow during the project is greater than the BI Rate and the benefits received from tourism development are more profitable than the costs incurred during the project. In addition, the time span required for payback is shorter than the project period. As an effort to increase tourism revenue and visitors, the Segmenting Targeting Positioning strategy is used. [ABSTRACT FROM AUTHOR]

We explore whether investors would receive excess profits by round-turn trading (hereafter referred to as trading) Bitcoin futures based on Bollinger Bands trading strategy (BBTS). Since investors are suggested to first buy (then sell) Bitcoin futures as oversold (overbought) signals emitted by the BBTS (i.e. penetrating lower (upper) Bollinger Bands regarded as a buying (selling) signal), we aim to explore whether investors would have better returns by trading such futures according to the BBTS. Results show that the average holding period return (AHPR) is over 20% for trading Bitcoin futures following the BBTS. Furthermore, after we adjust the 60-day moving average (MA) instead of the 20-day MA for the BBTS, the AHPR is above 50%. It is noted that if the margin could be deemed as an investment amount, its rate of return would be much higher than the 50% for trading Bitcoin futures. [ABSTRACT FROM AUTHOR]

Background: By decoupling economic growth from an intensive use of resources, preventing the impairment of natural capital, and enhancing resilience to system-wide shocks, the Circular Economy (CE) is a powerful opportunity to hedge against "linear" risk factors. In fact, it helps shielding against the risk of assets becoming stranded, can generate fresh and non-speculative demand for investments, and can improve investment results at both individual and portfolio levels. Problem: Therefore, equity investors into circular undertakings could benefit from (H1) reduced stock return volatility, as well as (H2) a greater ability to withstand exogenous negative events. Approach: For testing these hypotheses, we constructed a sample of 644 listed companies across EU-15 countries, plus Switzerland, and 17 different industries. We retrieved their market data in 2019–2020, as well as their accounting fundamentals in 2018–2019. By controlling for the latter, we investigated whether equity risk—either in total terms (i.e., the standard deviation of returns) or circumscribed to the systematic component thereof (i.e., the Beta against a European or global market index)—may be explained by a company's degree of circularity, measured by the Circularity Score (CS). This is a novel indicator originally proposed by Zara and Ramkumar (2022), based on Refinitiv ESG data, the methodology whereof we significantly amended. As a core innovation, in weighting an entity's performance on a CE framework, we assessed the latter's "financial materiality" (i.e., relevance to the company's business) at sub-industry level, applying the SASB Materiality Maps. Via OLS estimation, we tested our hypotheses (i) over the whole-time horizon, in a panel model; (ii) on specific timeframes, in a standard cross-sectional model. The latter was applied to either the entire 2020 or subperiods thereof: namely, with respect to the COVID-19 outbreak, we distinguished between a pre-shock, a shock and a post-shock phase. Our quest was refined to conduct a deeper investigation into the Oil & Gas industry, which is intrinsically the most exposed to linear risks and, also, did experience the widest volatility in 2020. Findings: Both H1 and H2 received widespread confirmation. The CS was found to exert a negative, significant and robust effect on all the three risk measures, over the whole timespan as well as in subperiods (particularly the post-shock phase). Also, amplifying effects were recorded on the Oil & Gas industry. Conclusions: Our results lend remarkable support to the idea that the CE is a powerful enabler of de-risking, also in case of a severe shock, with a view to mitigating the negative consequences and building back better. They call on firms and policymakers to foster the circular transition, thereby accelerating economic recovery in the aftermath of the pandemic crisis. [ABSTRACT FROM AUTHOR]

A large number of studies have investigated the relationship between financial constraints and firm performance. However, due to heterogeneity in study design factors, such as choice of measures for constraints and performance, control variables, estimation methods and study sample, the empirical results have been mixed. To mitigate this issue, this paper reports a meta‐analysis of the association between financial constraints and firm performance. To assess the overall direction of the relationship and the sources of heterogeneity, we apply meta‐analytic methods to 26 studies (providing 189 effect sizes) on the association between financial constraints and financial performance in listed companies. Our result shows that, overall, there is a positive relationship between financial constraints and firm performance. In addition, meta‐regression results suggest that return on assets (ROA) and return on equity (ROE) as measures of financial performance, and external finance and size as measures of financial constraints, have a significant negative impact on the relationship between financial constraints and firm performance relative to the mean impact on effect size. Similarly, all of North America and Asia as regional differences, control of size and corporate governance as control variables, and journal quality as strength of results, also have a significant negative impact. On the other hand, market value as a measure of financial performance, and the Whited & Wu index as a measure of financial constraints, have significant positive impact relative to the mean impact. Similarly, cross‐country and Europe as regional differences, and publication status as strength of results, all have significant positive impact. Given that firm performance is of fundamental importance to investors, this study therefore helps researchers and policymakers to understand the variation in the empirical results on the impact of financial constraints. [ABSTRACT FROM AUTHOR]

Inflation-plus strategies attempt to deliver positive real returns over reasonable horizons. The "real" in real return strategies is to adjust for inflation. This is different from the "real" in real asset strategies that focus on real assets (loosely, claims to tangible assets). The distinction is important because real assets might not be good additions to real return strategies. This article details how a portfolio view of building a real return strategy can help improve the efficiency of real return strategies compared to simply building the portfolio out of individual assets that may have favorable inflation sensitivities. We take an international perspective to highlight the importance of country-specific inflation and currency risks along with taking a dynamic approach to navigating a changing inflation landscape. [ABSTRACT FROM AUTHOR]

Copyright of Transformations in Business & Economics is the property of Vilnius University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We conducted a study analyzing the impact of productivity shocks on equity returns in the U.S. economy from Q1 1960 to Q1 2022 using an RBC DSGE model. Our results suggest that while initial productivity shocks lead to higher equity returns, this effect fades within eight quarters. Nonetheless, such shocks can still provide valuable signals for investors to strategically allocate their investments in sectors that may benefit the most. Our study also found that the responses of key macroeconomic variables, including real GDP, are consistent with those observed in other calibration based DSGE models of the U.S. in previous research. [ABSTRACT FROM AUTHOR]

Purpose - Today, due to the breadth, diversity and multiplicity of investment projects, decision makers and investors are faced with the issue of choosing the most profitable project. The economic rate of return (ERR) index is one of the proper indices that has been presented to determine the profitability of the projects. However, the ERR index has important shortcomings that have led to serious limitations in its use. In this regard, this paper introduces a new measure called the reliable economic rate of return (RERR), which has originated from ERR measure, but it has resolved the drawbacks of ERR index. On the other hand, this paper proposes a new solution by considering the values of the cash flow in terms of fuzzy numbers. After calculating the fuzzy economic rate of return, the profitability potentiality degree of the investment projects can be determined as well as their reliability based on the net present value (NPV) method. Design/methodology/approach - This paper proves that if we equate the initial cash flow of investment projects with the sum of the negative values of the relevant cash flow stream, then the RERR value would be greater than '-1'. In this regard, this paper proposes a solution to modify the initial and final values of the investment cash flow stream, merely without changing middle values. Thereby, the NPV of the modified cash flow does not change. On the other hand, it is sometimes difficult to estimate the values of cash flows as a crisp number, which may lead to a wrong decision in accepting or rejecting projects. For this purpose, this paper considers the values of cash flow stream as fuzzy numbers and describes a solution for calculating the fuzzy RERR using the α-cut method and the RERR index. The proposed solution is compatible with the NPV method and also has fewer calculations than the other methods. This paper also proposes a method that calculates the profitability potentiality degree of projects and provides more comprehensive information to the decision makers by examining the intervals obtained from cutting the fuzzy values of the projects and presenting a new and reliable solution. Findings - Using the @RISK software, it was found that the estimation of fuzzy return rate using RERR index and α-cut method is very close to the simulation result. It confirms the appropriate accuracy of the proposed solution. Also, the results obtained from the software in determining the profitability of projects indicated that the proposed solution is more accurate than the methods of 'comparison of the expected intervals' and 'strict exceedance possibility'. It is also fully compatible with the NPV method. Research limitations/implications - In this research the market rate is assumed constant, while, in practice it can vary over the periods. Defining the market rate as an inconstant parameter, using the robust optimization approach and investigating the subject of this paper under other uncertainty environments are future study suggestions to both researchers and practitioners. Practical implications - One of the most important applications of this study is in risky projects wherein estimating the values of cash flow stream as a crisp number is difficult. The results of this paper help decision makers in reducing risk and determining the project profitability. It is worth mentioning that the solution proposed in this paper can be used for all projects with any cash flow stream value. Social implications - Failure to make the correct decision regarding the acceptance or rejection of the projects could have major negative consequences for the companies, organizations and even society. This paper helps decision makers, investors and organizations to determine the projects profitability that could benefit organizations and society. Originality/value - This paper proposes the RERR measure as a profitability index such with several favorable properties: (ⅰ) it exists and is unique, (ⅱ) it is NPV-consistent in accepting/rejecting decisions, (ⅲ) it provides values greater than '-1', (ⅳ) it takes into account all of the project's outflows which may be regarded by some practitioners as an appropriate indicator of the overall investment. Furthermore, this paper proposes an appropriate method for calculating the fuzzy RERR and a new method for determining the profitability potentiality degree of the investment projects based on the NPV method. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Accounting & Auditing (2314-4793) is the property of Beni Suef University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Management & Systems is the property of Business Administration Association of R.O.C. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We develop a novel, risk-based theory of the effects of exchange rate stabilization. In our model, the choice of exchange rate regime allows policymakers to make their currency, and by extension, the firms in their country, a safer investment for international investors. Policies that induce a country's currency to appreciate when the marginal utility of international investors is high lower the required rate of return on the country's currency and increase the world-market value of domestic firms. Applying this logic to exchange rate stabilizations, we find a small economy stabilizing its bilateral exchange rate relative to a larger economy can increase domestic capital accumulation, domestic wages, and even its share in world wealth. In the absence of policy coordination, small countries optimally choose to stabilize their exchange rates relative to the currency of the largest economy in the world, which endogenously emerges as the world's "anchor currency", Larger economies instead optimally choose to float their exchange rates. The model therefore predicts an equilibrium pattern of exchange rate arrangements that is remarkably similar to the one in the data. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to explore the impact of ESG sustainability practices (i.e., Environmental, Social, Governance/economic) on share performance. Moreover, the objective of the study is to investigate the sustainability practices with mediation of board member experience, which might contribute in maintaining the share performance. The study is unique in such a way that instead of analysing the stated relationship with internal financial performance measures such as return on asset (ROA) or return on equity (ROE), this study will investigate the relationship using external performance measures such as firm share performance. In this research, data were collected from 100 Bursa Malaysia listed companies using purposive sampling during the sampling period from 2017 to 2020. The data were analysed using the Autoregressive Distributed Lag (ARDL) bound testing model instead of a traditional regression model to examine the causal relationship. The results of the study showed the long-run steady relationships through the error correction term (ECT) at the optimum lag. Further, the findings also revealed that there is no short run association between the sustainability practices and the stock performance with mediation of the board experience. The findings also showed that sustainability practices have a significant impact on share performance with mediation of board experience. It is found that sustainability practices, especially environmental and social, are essential to attract investors. The results have also demonstrated that a board of directors of different ages has different knowledge, competencies, and expertise which could prove beneficial in terms of board diversity that decides to adapt the best sustainability practices. These findings provide some inference for future research on the relationship of sustainability practices and share performance with other mediating factors of board attributes. [ABSTRACT FROM AUTHOR]

Renewable energy technologies play a crucial role in solving global energy and environmental issues, and the pace of the energy transition directly depends on improving their efficiency. Presently, the development and implementation of renewable energy systems are ensured mainly through state funding, the possibilities of which are limited. The potential of attracting private investments depends directly on their impact on companies' profitability indicators, and the uncertainty regarding the return on investments is one of the main barriers affecting investors' decision-making. Based on a vector autoregressive model for analysing the stationary time series, the paper explores the impact of long-term investments and research and development costs in renewable energy technologies on the financial performance of ten of the largest companies operating in this field. The study's results showed that investments and spending on research and development positively affect such companies' profitability indicators as earnings before interest, taxes, depreciation and amortisation, earnings before interest and tax, net income, and return on investment. The obtained results can be used to substantiate the economic effectiveness of investments in developing and improving renewable energy technologies when forming the companies' financial policies to support them. [ABSTRACT FROM AUTHOR]

Purpose: Financial crises, stock market crashes and consequently bursts of speculative enthusiasm have been accompanying investors since the 17th century. The first speculative bubble, so-called “tulip mania”, occurred in the Netherlands between 1636 and 1637, while a speculative “fever” spread among the shareholders of the Dutch East India Company from 1636 to 1640. Those events exposed remarkable possibilities and complexity of the financial markets, and later encouraged investors to explore a variety of investment strategies bringing above-average rates of return. However, the question remains: how do modern-day investors react to the market disruptions and which investment strategies are popular among them. The purpose of this paper is to provide an understanding of how and why the COVID-19 pandemic affected the investors’ behavior and the rates of return earned by selected WSE listed companies. An attempt was also made to estimate the sensibility of investing in selected stocks through the use of the basic and most popular fundamental analysis market ratios, i.e. P/E and P/BV. Furthermore, based on selected companies, semi-strong information efficiency of the Polish stock market was assessed, with a particular focus on the COVID-19 pandemic period. Methodology: The paper assesses the rates of return of companies constituting the WIG20 index and selected “covid” companies and calculates P/E and P/BV market ratios to verify how the fundamentals of a given company affect its rates of return. As a measure of relationship strength between the market value and rate of return indicators, the Spearman's rank correlation coefficient and a significance test for the Spearman's rank correlation coefficient were selected. Findings: The research reveals that, during times of violent turmoil and massive panic on the stock markets, an interesting investment strategy that brings above-average rates of return is to build a stock portfolio based on a current trend. All hypotheses formulated were positively verified in the paper. Practical implications: The study's results provide a valuable source of information for stock market investors, particularly individual investors who, when making tough investment decisions, i. e. during stock market crashes or financial crises, can employ strategies that involve building an investment portfolio based on trending companies and achieve above-average rates of return. Furthermore, the suggested investment strategy is adaptable and, over centuries, still effective. Originality: The considerations concentrated not only on identifying an appropriate investment strategy in times of a stock market turmoil, but largely focused around behavioral aspects of investing, which represent an important addition to theories about rational decision-making by investors and the efficiency of financial markets. [ABSTRACT FROM AUTHOR]

Purpose: This paper presents a combined method of ensemble learning and genetics to rebalance the corporate portfolio. The primary purpose of this paper is to determine the amount of investment in each of the shares of the listed company and the time of purchase, holding or sale of shares to maximize total return and reduce investment risk. Design/methodology/approach: To achieve the goals of the problem, a two-level combined intelligent method, such as a support vector machine, decision tree, network Bayesian, k-nearest neighbors and multilayer perceptron neural network as heterogeneous basic models of ensemble learning in the first level, was applied. Then, the majority vote method (weighted average) in the second stage as the final model of learning was collectively used. Therefore, the data collected from 208 listed companies active in the Tehran stock exchange (http://tsetmc.com) from 2011 to 2015 have been used to teach the data. For testing and analysis, the data of the same companies between 2016 and 2020 have been used. Findings: The results showed that the method of combined ensemble learning and genetics has the highest total stock portfolio yield of 114.12%, with a risk of 0.905%. Also, by examining the rate of return on capital, it was observed that the proposed method has the highest average rate of return on investment of 110.64%. As a result, the proposed method leads to higher returns with lower risk than the purchase and maintenance method for fund managers and companies and predicts market trends. Research limitations/implications: In the forthcoming research, there were no limitations to obtain research data were easily extracted from the site of Tehran Stock Exchange Technology Management Company and Rahvard Novin software, and simulation was performed in MATLAB software. Practical implications: In this paper, using combined machine learning methods, companies' stock prices are predicted and stock portfolio optimization is optimized. As companies and private organizations are trying to increase their rate of return, so they need a way to predict stock prices based on specific indicators. It turned out that this algorithm has the highest stock portfolio return with reasonable investment risk, and therefore, investors, portfolio managers and market timers can be used this method to optimize the stock portfolio. Social implications: The homogeneous and heterogeneous two-level hybrid model presented in the research can be used to predict market trends by market timers and fund managers. Also, adjusting the portfolio with this method has a much higher return than the return on buying and holding, and with controlled risk, it increases the security of investors' capital, and investors invest their capital in the funds more safely. And will achieve their expected returns. As a result, the psychological security gained from using this method for portfolio arrangement will eventually lead to the growth of the capital market. Originality/value: This paper tries to present the best combination of stock portfolios of active companies of the Tehran Stock Exchange by using the two-level combined intelligent method and genetic algorithm. [ABSTRACT FROM AUTHOR]

Copyright of Revista Contabilidade, Gestao E Governanca is the property of Revista Contabilidade, Gestao E Governanca and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Return on equity (ROE) is an important parameter which reflects the performance of a company. The growth of ROE indicates that the shareholders are getting higher return on their equity content. This is profit after tax (PAT) divided by equity content (equity capital plus general reserve) which was invested by shareholders to earn current year's PAT. If ROE gets energized and provides return greater than opportunity cost of investors plus inflation factor plus some extra return for growth of fund then the situation is quite comfortable. However, different investors have different opportunity costs, depending on their expectation level. One thing is to be noted regarding ROE that reserve creation is not solely dependent on profit earned from normal business operation. The reserve may grow, barring profit, from investment of reserve fund in profitable avenues and the valuation of reserve content can grow appreciably if investment is magnified in a robust way and consequently the book value of share can increase significantly and subsequently stock price may grow also. Here, in such situation ROE is bound to decrease by definition as PAT cannot include the growth of valuation of reserve till it is not realized in cash. From this standpoint, the wealth maximization is preferable to shareholders than mere growth of ROE. The growth of stock price may provide lucrative return to investors rather than growth of ROE. However, the entire process could be better controlled and monitored with the help of artificial intelligence and computerisation of accounting as well as production process of any industry. [ABSTRACT FROM AUTHOR]

The study looked at the relationship between risk and return in the Nigerian stock market using Fama-French five-factor model and Higher Moment Fama-French five-factor model. The employed 90 companies' stocks that are frequently traded out of the sample size of 113 companies' stocks. The monthly stock prices, market index, risk-free rate (which was substituted with the rate on Treasury bills), ownership shareholdings, market capitalization, book value of equity, earnings before interest and taxes, and total assets were the data used in this study. The entire sample period covered from 2005-2020. The data was extracted from the Nigerian Group of Exchange (NGX) website, the Central Bank of Nigeria (CBN) website, and the Standard and Poor (S&P) database. The Fama-MacBeth two-step regression method was employed. It was found that systematic risk has significant negative effect on return while unsystematic risk has significant positive effect on return. The study concluded that the long standing view of hypothesised positive relationship between risk and return does not hold in the Nigerian stock market and the assumption that market risk is the only determinant of return is invalidated. Also, systematic coskewness risk is an important risk factor in the Nigerian stock market and higher moment FF5F model and CoFF5F model is superior to FF5F model. The study recommended that the investors should focused on how their investment return co-move with other dimension of risk such as unsystematic risk, systematic cokewness risk, systematic cokurtosis risk and non-market risk apart from the systematic risk. [ABSTRACT FROM AUTHOR]

Within finance, there is an area of investment based on the role in investment opportunities that are expected to increase in value in the short or long term, further to this, will also increase a profit for the investor. Depending on preferences, risk propensity and available trading facilities, investors make decisions about the components of their own investment portfolios. The general premise on the basis of which investors decide is to make as much profit as possible, and at the lowest possible rate of risk. In order to meet this unwritten rule, investors must focus their investments on more investment options, which is diversify of the investment portfolio; what is also what modern portfolio theory, or Markowitz's theory, is about. In this way, the risk is allocated to several smaller segments or investment options and potentially achieves a higher return on investment than would be realized if all available funds were directed to one investment object. Diversification, in practice, serves as an effective investment tool that provides the investor a protection against risk, but it is also a tool to achieve the basic goal of investment, or profit for which the investor stands. [ABSTRACT FROM AUTHOR]