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By endogenizing foreign direct investment (FDI), trade openness, and economic growth, we analyze the influence of stock market development on the green economic recovery using the panel dataset for selected developing economies from the period of 2000 to 2020. The unique panel quantile regression (PQR) approach is used to examine the impact of stock market–green recovery nexus. Importantly, our empirical findings explain the effect of stock markets on the development of green economic recovery in the selected developing economies. According to the results, increasing trade openness and economic development have a considerable impact on technological innovation and reducing the emission of GHGs. Additionally, PQR data show that green recovery initiatives are encouraged in developing economies with high (0.70) quantile stock markets where equity markets are comparatively more developed are encouraged. By promoting trade openness in developing economies, financial development promotes green economic recovery. Our study also contributes significantly to the empirical literature and makes crucial recommendations for policy formation. [ABSTRACT FROM AUTHOR]

AbstractThe present study conducts a dynamic conditional cross-correlation and time–frequency correlation analyses between cryptocurrency and equity markets in both advanced and emerging economies. The purpose of the study is twofold. First, the study investigates the presence of the pure (narrow) form of financial contagion between cryptocurrency and stock markets in both advanced and emerging economies, during the black swan event of the COVID-19 crisis. Second, the study examines the hedging and safe-haven properties of cryptocurrencies against equity markets, before and during periods of financial upheaval triggered by the COVID-19 pandemic. Two econometric models are used: (1) the dynamic conditional correlation (DCC) GARCH and (2) the wavelet analysis models. Using the DCC GARCH model, the study found the evidence of high conditional correlations between cryptocurrency and equity markets. The high conditional correlation was mostly detected in periods of financial turmoil corresponding to the first quarter and the second quarter of 2020. The increase in conditional correlation during periods of financial upheaval (compared to a tranquil period) indicates the presence of the pure form of financial contagion. The wavelet cross-correlation analysis showed the evidence of positive cross-correlation between the Bitcoin and the equity markets during period of financial turmoil. The cross-correlation was identified in both short and long (coarse) scales. In short scales, the equity markets lead the cryptocurrency market, while the cryptocurrency market leads equity markets in coarse scales. The findings of the present study revealed that the degree of interdependence between cryptocurrency and equity markets has substantially increased during the COVID-19 period, and this has negated the safe-haven and hedging benefits of cryptocurrencies over equity markets.

In the realm of financial markets, understanding the interplay between mutual fund investment growth and equity market performance is paramount for investors, fund managers, and policymakers alike. This empirical study embarks on a comprehensive exploration of this intricate relationship, employing advanced econometric techniques to dissect historical data and uncover underlying patterns and dynamics. Building upon hypotheses positing significant associations between mutual fund investment growth and equity market performance, the study delves into regression analysis and statistical modelling to discern causality and quantify the impact of mutual fund investments on equity market behavior. In addition, the study investigates the influence of mutual fund performance metrics, such as annualized return, on equity market returns, shedding light on the part of mutual funds in shaping market outcomes. Despite inherent limitations, including data constraints and potential endogeneity issues, the findings contribute valuable empirical evidence and actionable insights for stakeholders navigating financial markets. Through its rigorous empirical approach and robust analytical framework, this study advances financial research and informs decision-making processes, empowering stakeholders to navigate the complex landscape of investments and market participation effectively.The findings contribute to a deeper understanding of how mutual fund investments impact equity market performance, offering valuable implications for the various players in navigating financial markets.

For short-term investments in equity markets, investors use price points, candlestick patterns, moving averages, support and resistance levels, trendlines, price patterns, relative strength index, and moving average convergence-divergence as reference(s) for making decisions. This study investigates whether investors use daily price extremes (highest and lowest prices for the day) for making short-term investments or trading decisions in the context of the Indian equity market. Using 6,902 observations of daily data of the NIFTY 50 index since its launch, it is observed that daily price extremes (high or low) have no impact on opening returns of the next trading day. Based on the dummy regression analysis, next-day opening returns were found to be statistically significant, which implies the presence of momentum behavior. However, insignificant coefficients for high or low-price extremes of the day mean that investors do not use them as an anchor or reference point for decisions. Results are consistent over time and robust to the rising or falling markets. Further, opening returns were seen to be more volatile than closing returns in the first half of the sample, and they are less volatile in the second half, implying that markets have become more efficient in the last few years.

The present study conducts a dynamic conditional cross-correlation and time–frequency correlation analyses between cryptocurrency and equity markets in both advanced and emerging economies. The purpose of the study is twofold. First, the study investigates the presence of the pure (narrow) form of financial contagion between cryptocurrency and stock markets in both advanced and emerging economies, during the black swan event of the COVID-19 crisis. Second, the study examines the hedging and safe-haven properties of cryptocurrencies against equity markets, before and during periods of financial upheaval triggered by the COVID-19 pandemic. Two econometric models are used: (1) the dynamic conditional correlation (DCC) GARCH and (2) the wavelet analysis models. Using the DCC GARCH model, the study found the evidence of high conditional correlations between cryptocurrency and equity markets. The high conditional correlation was mostly detected in periods of financial turmoil corresponding to the first quarter and the second quarter of 2020. The increase in conditional correlation during periods of financial upheaval (compared to a tranquil period) indicates the presence of the pure form of financial contagion. The wavelet cross-correlation analysis showed the evidence of positive cross-correlation between the Bitcoin and the equity markets during period of financial turmoil. The cross-correlation was identified in both short and long (coarse) scales. In short scales, the equity markets lead the cryptocurrency market, while the cryptocurrency market leads equity markets in coarse scales. The findings of the present study revealed that the degree of interdependence between cryptocurrency and equity markets has substantially increased during the COVID-19 period, and this has negated the safe-haven and hedging benefits of cryptocurrencies over equity markets. [ABSTRACT FROM AUTHOR]

The investment decisions are subjected to risk and return of the financial asset. Options strategies help employ a suitable strategy to balance the risk-return trade-off. The study analyzes the risk-return trade-off of the long straddle, long strangle, long call butterfly (LCB), short straddle, short strangle, and short call butterfly (SCB) strategies. Moreover, it measures the impact of strategy risk and options premiums on strategy return using panel data analysis. Additionally, the study evaluates the performance of options strategies using the excess returns to risk approach under neutral and volatile market conditions. This paper considered companies of top-six sector indices of the National Stock Exchange from 2009 to 2020 and collected data of 18,720 option contracts and 3,744 observations for each strategy (22,464 observations). The study revealed that risks of long straddle and long strangle strategies have a positive impact, and options premiums negatively influence their payoff. ATM call premiums positively affect LCB payoff, while OTM and ITM call premiums positively influence SCB payoff. However, the risks of butterfly strategy did not influence its payoff. The risk of short straddle and short strangle strategies negatively influenced the payoff and were considered riskier strategies. Moreover, short straddle and short strangle strategies enhanced excess returns under both market conditions. The results would help the investors in choosing the appropriate strategy by analyzing the impact of risk on the payoff and the ability to enhance excess returns to the risk of various options strategies to incorporate in their investment.

Although corporate insiders face substantial restrictions on stock sales, securing tax deductions through charitable donations of stock is viewed as an attractive alternative. Recent press coverage and growing empirical evidence confirm that insider donations occur frequently and often precede stock price drops. Securities regulators have also taken note, with a recent push for new rules to require rapid disclosure as with insider trades. This paper develops a model of informed stock trading when disposal of stock by insiders takes the form of tax-favored charitable donations rather than direct trading. We demonstrate that charitable gifts by insiders can reflect nonpublic information about firm value and that they do so in a manner that promotes greater market efficiency. Relative to informed trading, insider donations yield greater market liquidity, more efficient equity prices, and superior investor protection. The results suggest that although insider donations deserve scrutiny, they are not equivalent to insider trades. The results also provide a general framework to examine implications of insider donations for tax policy governing philanthropic behavior. This paper was accepted by Ranjani Krishnan, accounting. Supplemental Material: The e-companion is available at https://doi.org/10.1287/mnsc.2022.4514. [ABSTRACT FROM AUTHOR]

The author determines the peculiarities of privatisation processes in transformational economies compared with mature ones and considers the difference of the goal – to accelerate the development of the already existing stock market, and in fact, to create the market anew. Socio-economic transformations, privatisation of property and creation of market infrastructure are prerequisites but not a guarantee for the emergence of the domestic stock market as a specific institutional phenomenon, especially in the absence of adequate incentives for public equity. It is established that some local stock markets are degraded against the background of increasing size, globalisation, liquidity, and integration of world capital markets, including the Ukrainian one. It is stated that, unlike the neighbouring post-socialist states (firstly, Poland), the stock market has not been built in Ukraine as a basis for compelling attraction and allocation of capital. Paper substantiated that this is primarily a consequence of inefficient and protracted privatisation, mainly over-the-counter sale of shares, inconsistency of state and regulatory policy, optional iterations in the development of market infrastructure, the creation irrationality of privatised enterprises (even the smallest) exclusively in the form of open joint-stock companies, which die to their objective inability to raise public capital faced inadequate financial burden and coercion of listing on exchanges. The author identified the main problems of the Ukrainian stock market laid down during privatisation: excessively consolidated share capital structure, insecurity of minorities, meagre free-float and liquidity, conditional exchange pricing, the predominance of over-the-counter circulation of shares, etc. Emphasis is placed on the consequences of the attempt to implement the squeeze-out procedure in Ukraine. In the absence of market prices and the acquisition of control by dominant shareholders long before the legislative changes, the share buyback did not protect minorities. However, it led to significant investors’ losses, termination of circulation of shares of most issuers, even greater conditionality of indices, capitalisation and other indicators of market development. It is noted that the effectiveness of the announced state plans for the development of the stock market due to the privatisation of state property remains in doubt in the absence of prerequisites for balancing economic interests between market participants, the objectivity of pricing, incentives for public capital raising and effective institutional environment. It is concluded that in Ukraine, the focus on privatisation procedures in the stock market development has no prospects in the absence of adequate incentives for the public raising of capital.

COVID-19 has rapidly evolved into a global pandemic and has strongly impacted financial markets of the world, including the Gulf Cooperation Council (GCC) region. Since the outbreak is unprecedented, there is a need to analyze the effects of the disease on volatility spillovers between equity and bond markets. We empirically investigated the impact of the COVID-19 pandemic on the financial equity and debt markets in the GCC region. We used the TVP-VAR dynamic connectedness approach to measure risk transmission in the GCC market. This study investigated the time-varying behavior of GCC equity and conventional and Islamic debt markets using data from 1 January 2019 to 30 August 2021. The results were also validated by performing a DCC-GARCH analysis to check the shock and spillovers among the GCC markets. We found the persistent shock transmitter roles of equity markets to bond and Sukuk markets in the GCC region, and the total dynamic connectedness increased during the first wave of the COVID-19 pandemic. Overall, the significant level of interconnectedness exists within the GCC markets.

Orientation: This study investigated the relationship between the equity markets and foreign exchange markets in Brazil, Russia, India, China and South Africa (BRICS). Research purpose: This study examined the financial connectedness through volatility spillovers and co-movements among equity and foreign exchange markets in the BRICS countries to better understand market interdependencies. Motivation for the study: The literature mainly focused on volatility transmission from developed countries. Research approach: This research, used the Diebold and Yilmaz spillover index approach (DY index). The DY index is based on variance decompositions (VD) and impulse response functions that use a vector autoregressive (VAR) modelling framework. The study period was from 02 January 1997 to 31 December 2018. Main findings: Shocks from the equity markets dominate the foreign exchange markets, while foreign exchange markets dominate their equity markets at an individual level. There are interdependencies between BRICS equity markets and foreign exchange markets, except for China, whose markets are relatively isolated from other BRICS markets. Brazil is the largest contributor of volatility spillovers to other BRICS markets. The South African rand is the most integrated within BRICS. Practical implications: Foreign exchange markets provided better diversification opportunities. Significant increases in volatility spillovers associated with turmoil periods in domestic and global markets provide evidence for contagion effects in BRICS markets. Contribution: The current account (flow-oriented model) is crucial in exchange rate determination at the individual country level. In contrast, the capital account (stock-oriented model) is a significant factor in exchange rate determinations at an aggregate level.

This paper selects weekly transaction data from the Shenzhen Exchange and Shanghai Exchange for 2012 to 2018 to investigate factors including corporate size, the ration of book-to-market, default risk, term and credit rating that influence the corporate bond spread. It can be concluded that small firms prefer to issue high yield spread bonds while large firms issue bonds with low yield spreads. High (low) book-to-market firms issue high (low) yield spread bonds. The most important factors influencing corporate bond spread yield are default risk, terms, and credit ratings. We suggest that China Securities Regulatory Commission should encourage small firms to issue corporate bonds and there should be more kinds of credit ratings bonds in China bond market. [ABSTRACT FROM AUTHOR]

Purpose: To understand how the COVID-19 pandemic has impacted investment and financial decisions of individuals in small towns in developing nations such as India. Methodology: A literature review was undertaken on COVID-19 and steps taken by the government to fight the pandemic. A sample survey was conducted to determine the impact of COVID-19 on individuals’ financial transactions in Madhya Pradesh (MP) . The respondents either belonged to the service sector or owned businesses. The relationship between the COVID-19 pandemic and change in investment decisions of individuals with respect to SIPs was studied. Findings: Significant association was found between measures taken to prevent the spread of COVID-19 (such as lockdown and travel restrictions) and individual income; such preventive measures directly impacted savings and investment behaviour. Indeed, respondents reported a 43% drop in SIP investments during the COVID-19 pandemic. While decline in investment was common to genders, the difference between percentage decline was statistically non-significant. Furthermore, investment behaviour did not vary with investor age. Research Implications: Results highlight the socioeconomic effects of the COVID-19 outbreak at the micro-level and may enable financial institutions and individuals to better handle such situations in future. The scope of the present research is limited. Future studies could consider larger samples and different contexts to gain deeper insights into the socioeconomic effects of the COVID-19 pandemic. Studies could also suggest policies and measures to help governments effectively deal with future crises. Originality/ Value: Hitherto, the impact of COVID-19 outbreak on investment decisions of individuals in Tier 3 cities had remained under-examined; this is one of the first studies to carry out such an investigation.

The purpose of this study is to find the influence of various macroeconomic factors on the volatility index, as macroeconomic factors affect stock market volatility, resulting in an impact on the VIX Index, representing the risk in the stock market. To estimate the significance and importance of the U.S. macroeconomic variables on stock market volatility and risk, classification problems from machine learning are constructed to predict the daily and weekly trends of the VIX Index. Data from May 2007 to December 2021 is considered for analysis. The selected models are trained with twenty-four daily features and twenty-four plus nine weekly features. The outcomes suggest that the decisions made by the Light GBM and XG Boost on ranking features can be significantly accepted over logistic regression. It is found from the results that economic policy uncertainty indices, gold price, the USD Index, and crude oil are signified as strong predictors. The Financial Stress Index, initial claims, M2, TED spread, Fed rate, and credit spread are also strong predictors, while various yields on fixed income securities make a little less impact on the VIX Index. The TED spread, Financial Stress Index, and Equity Market Volatility (Infectious Disease Tracker) are positively associated with the VIX. [ABSTRACT FROM AUTHOR]

The purpose of this study is to examine the volatility and return spillover effect in the stock indices of 19 developed and developing market economies during the period between January 2000 and June 2019, and it is also aimed to examine the findings specifically for Turkish stock exchange market (Borsa Istanbul). In the study, spillover index method of Diebold and Yılmaz (2009) is used and as a result, it is found that the USA and the UK have the highest spillover effect among other countries. On the other hand, the net effect spillover from Turkey to other and from other countries to Turkey are not at their high levels compared to others. In Turkey, return on equity markets and price volatility stems mainly from its internal shocks. Finally, it has been concluded that total spillover has increased in the crucial global events such as Mortgage crisis, Lehman Brothers bankruptcy, and Brexit referendum where financial stress is at its highest level.

Behavioural finance literature explains that investment decisions are subject to 'investor sentiment' and, consequently, may affect the pricing of various asset classes. Our study examines the 12 major equity markets amid the COVID-19 pandemic disease outbreak in relation to returns and volatility behaviour. Empirical results show that the number of new cases and deaths recorded daily because of COVID-19 has disrupted investors' sentiments globally, and also, the market has experienced an unparalleled negative return. Market connectedness and volatility spillover deliberate on the increased risk of emergent pandemic crises, which has become more pronounced during the first quarter of 2020. Further, after the global financial crisis, the volatility index has appeared at its highest level for the very first time. The unprecedented rise in the volatility index level indicates more significant pressure on put options as a hedge against the pandemic uncertainty. [ABSTRACT FROM AUTHOR]

Despite of the extensive research being done in developed markets, the empirical studies on Pakistan's equity market are limited. The purpose of this study was to identify the determinants of earning yield and their impact on the Pakistani stock market return (KSE-100 index). Taking earning yield as a dependent variable, six out of ten variables were identified as significant, explaining only 10% of the variation in stock return. With the inculcation of industry effect, the explanatory power however, increased to 20%. The model suggests that earning yield cannot be used to predict stock market returns in volatile markets like Pakistan. [ABSTRACT FROM AUTHOR]

This paper sheds light on the relationship between the Nasdaq Composite Index and a newly proposed Energy Futures Conditions Index (EFCI). While various financial conditions indices provide information about the financial stability of a country, the existence of an energy condition index, using futures markets, is scarce. Using weekly data over the period 1992–2017, this paper introduces an energy futures index using principal component analysis and test its predictability over the Nasdaq Composite Index. The EFCI captures 95% of the variability inherent in crude oil, heating oil and natural gas futures’ total reportable positions. Stability in forecast errors over different lags suggests a one week lag is sufficient to forecast weekly Nasdaq Composite Index. 95% prediction levels support that the estimated model captures actual equity market index values, except for the 2000 technology bubble. Distributions of level data were non-normal, not serially correlated and homoscedastic under the whole sample period, with diagnostics on pre and post technology bubble crisis showing mixed results. While differencing ensured homoscedastic errors in the forecasting model, Granger causality supported non-causality from both energy futures and equity markets, suggesting no evidence of cross market information flows.

The efficient market hypothesis, despite being the basis of modern economy, remains one of the most controversial and contested concepts. Efficient markets, i.e. markets which reflect available information in asset prices, can exist under the assumption that humans are rational individuals – „homo economicus”. On the other hand, behavioural economics takes a different approach and presents the decision maker as an individual who makes cognitive errors and employs simplifications and heuristics. Accepting or rejecting the existence of efficient markets has far-reaching implications for stock market investors. If the market immediately reflects available information in prices, then they should not be able to achieve above-average returns. However, history shows that many investors have significantly multiplied their capital and outperformed the market. Strategies that enable above-average returns are called „stock market anomalies” to indicate their clash with classical assumptions of economics. Over the years, there have been many studies of both market efficiency itself and the occurrence of calendar effects. This article aims to broaden the knowledge of the Polish equity market and examine its efficiency over the last 10 years. On the basis of a study of efficiency performed using various tools, the author was able to demonstrate the presence of some anomalies cited in literature on the subject. However, due to their instability over time and low repeatability with respect to various stock indices, the author was unable to unequivocally reject the efficiency of the Polish equity market.

This study aims to understand the moderating role of firm size on financial characteristics and Islamic firm value. Then study how the influence of firm size moderation on the relationship of financial characteristics and corporate governance with firm value. This study uses secondary data from financial statements and analyzed by the panel data method for six years. The sample selection is arranged by the purposive sampling method with Islamic index constituent population. Conclusion: leverage, profitability, and efficiency have a significant positive effect on Islamic firm value, but the liquidity and audit committee do not affect. Firm size moderators provide a reinforcing effect for all independent variables so that liquidity and audit committees have a positive effect on firm value. Implications: Islamic firm investors in the equity market should consider the crucial variable, namely firm size, in addition to firm and corporate governance characteristics. These conclusions provide important implications for managers and relevant authorities to enhance financial market information related to firm value and further attention to corporate governance mechanisms.

This study aims to understand the moderating role of firm size on financial characteristics and Islamic firm value. Then study how the influence of firm size moderation on the relationship of financial characteristics and corporate governance with firm value. This study uses secondary data from financial statements and analyzed by the panel data method for six years. The sample selection is arranged by the purposive sampling method with Islamic index constituent population. Conclusion: leverage, profitability, and efficiency have a significant positive effect on Islamic firm value, but the liquidity and audit committee do not affect. Firm size moderators provide a reinforcing effect for all independent variables so that liquidity and audit committees have a positive effect on firm value. Implications: Islamic firm investors in the equity market should consider the crucial variable, namely firm size, in addition to firm and corporate governance characteristics. These conclusions provide important implications for managers and relevant authorities to enhance financial market information related to firm value and further attention to corporate governance mechanisms. [ABSTRACT FROM AUTHOR]

In this paper it is assumed that equity markets reflect the development of the overall economy of a country. Equity markets, among other factors, are considerably affected by factors such as inflation or deflation. Therefore, when inflationary or deflationary pressures appear, Central Banks try to manage those pressures in order to minimise their impact on the economy. In this paper, the case of Japan will be examined. Japan can be considered an example of a country which was under extended deflationary pressures for about three decades. In this study, the authors investigate different time frames for the Japan equity market. The research is based on Japan equity market (NIKKEI) returns. The authors aim to answer the question of whether the Japanese market complies with the Efficient Market Hypothesis (EMH) for different time frames, as well as test analytically if Japan's stock market and economy have improved after the implementation of different attempts at Quantitative Easing (QEs), a Zero Interest Rate Policy (ZIRP) or a Negative Interest Rate Policy (NIRP) to curb deflationary impacts on the economy. The analysis and obtained results could be useful for risk and portfolio management, and could be extended to other markets. [ABSTRACT FROM AUTHOR]

This study assesses the safe haven and hedge profiles of wheat against equity markets during the Russia–Ukraine war using both DCC-GARCH and wavelet techniques. We found significant decrease in dynamic conditional correlations between wheat and the chosen indexes, suggesting that investors may reduce portfolio risks using wheat. Moreover, we demonstrate that wheat possesses weak safe-haven potential for equity indexes during the war, except for the FTSE/MIB while it provides hedging benefits for DAX30, S&P500 and FTSE100. These results are confirmed by our further analysis using wavelet coherency, which shows that wheat provides safe haven for these assets (except FTSE/MIB), especially for medium-term investors. • We examined the safe-haven and hedge potentials of wheat against equity markets during the Russia–Ukraine war. • There were notable decreases in dynamic conditional correlations between wheat and the chosen indexes. • Possible potential risk reduction by investors using wheat. • Wheat may act a weak safe-haven for equity indexes during the war, except for the FTSE/MIB. • Wheat may offer hedging benefits for DAX30, S&P500 and FTSE100. [ABSTRACT FROM AUTHOR]

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This paper proposes a novel and intuitive indicator to measure market systemic risk. This risk indicator is established by the understanding of market's needs for risk diversification through cross-border investment and its impact on the stability of global financial system as a whole. We formulate the risk indicator based on a measure of cross-sectional dependence that is robust to persistent and long-memory stochastic processes. In an analysis of 14 global equity markets and 10 hedging assets from January 1999 to December 2021, we demonstrate the usefulness of our indicator by showing its ability of accurately tracking international market fluctuations and its out-of-sample performance for predicting the U.S. equity market. We further analyze the impact of the U.S. macroeconomics news on market systemic risk, with the objectiveness of both measuring the change of market systemic risk and understanding how it links to various macroeconomic factors. In particular, we find that, in the long-run, monetary policy actions have a steady impact on market systemic risk regardless of whether policy changes are expected. • Novel, easy-to-compute measure of market systemic risk. • Accurate tracking of international market fluctuations. • Improved prediction of U.S. equity market using systemic risk indicator. • Impact of U.S. macroeconomics news on market systemic risk. • Long-term effects of expected and unexpected monetary policy on systemic risk. [ABSTRACT FROM AUTHOR]

The present paper continues the studies of Pop et al. (2014) and Pop et al. (2015) and completes the previous studies by presenting a brief survey of RASDAQ’s entire active life, the profile of RASDAQ indices, and focusing on the last 911 RASDAQ listed companies: their profile and their decision to be transferred on other market segments or to be delisted. The results of the present study confirms, from another viewpoint, the findings of Pop et al. (2014) and Pop et al. (2015): RASDAQ most important role was to assist the ownership concentration process, thus this role was fulfilled much later compared with the similar markets that existed within the former communist countries. The fulfillment of this role was confirmed by: a) no important trading activity for most of the listed companies between 2013 and 2015; b) weak January and weekend effects; c) low free float. Furthermore, by choosing to put an end to RASDAQ, the Romanian authorities acknowledged the fulfillment of this role and the fact that a radical transformation of this controversial market was almost impossible.

Based on the theory of cointegrationfor index RTS oil and gas for three time periods model of the relationship withthe factors of conjuncture in the globalfinancial market were built. Transformation of models under the influence of the global financial and economic crisis was shown. The changes were explained from an economic point of view

This study traces the degree of integration and volatility spillover effect between the Pakistani and leading foreign stock markets by analyzing the Meteor shower hypothesis. Daily data are used from nine worldly equity markets (KSE 100, NIKKEI 225, HIS, S&P 500, NASDAQ 100, DOW JONES, GADXI, FTSE 350 and DFMGI) for the period of 2005 to 2014. First, we used the whole data set and after that we split data set into two subsets, First subset of data contains the era of global financial crisis of 2008 from 2005 to 2009 and Second subset is after global financial crisis time period from 2010 to 2014 (The global crisis prevailed till end of 2009). By following the Hamao et al. (1990) technique the univariate GARCH type models are employed to explore the dynamic linkages between Pakistani and leading foreign stock markets. The results from whole data set illustrate that there is mixed co-movements between leading foreign stock markets and Pakistani stock market. The results from both subsets provide an evidence that there is a unidirectional mean and volatility spillover effect from S&P 500, NASDAQ 100, DJI and DFMGI to KSE 100. Also we found bidirectional spillover effect between DFMGI and KSE 100 from both subsets of data. We concluded that there is only one indirect linkage through which may the information transmitted to KSE 100. This linkage is developed due to the co-movement among KSE 100, DFMGI and NASDAQ 100 in crisis period. This integration between these markets may provide a sign of indirect linkage. It also exhibits the volatility in Pakistan stock market returns is instigated through direct effects as well as indirect effects. Our study brings important conclusions for financial institutions, portfolio managers, market players and academician to diagnose the nature and level of linkages between the financial markets. [ABSTRACT FROM AUTHOR]

We evaluate to what extent the geographical and industry composition of the global real economy corresponds to that of public equity markets. We aggregate firm-level data on geographical revenue distribution to determine its geographical exposure, and national accounts data to determine the industrial composition of the real economy. We find that there are substantial differences between both regional and industrial composition of the real economy and equity markets. For example, the US is relatively overrepresented when the value of public equities is compared relative to its share of global GDP. Due to foreign exposures of US-listed companies, the economic exposure to the US of a global equity portfolio is much closer to its GDP than its market capitalization suggests. Similarly, the low share of emerging markets equities in a global portfolio is somewhat misleading, as the economic exposures of global equity markets to emerging markets are close to its weight in global GDP. From an industrial perspective, equity markets seem to be substantially overexposed to consumer goods and underexposed to consumer services compared to real economic activity. However, these industrial differences might also be caused by classification differences between economic and financial agencies. Nevertheless, the differences in composition may contribute to the explanation of the empirical disconnect between economic growth and equity returns. It may also help investors to target regions or industries in private equity that are under - represented in their public equity portfolio. [ABSTRACT FROM AUTHOR]

The paper empirically investigates the relationship between bank, stock market and economic growth in Bangladesh. In investigating empirical relationship , GDP at the current price, private sector credit given by banks and market capitalization are considered as indicators of economic growth, banks’ development and stock market development, respectively. Three possible regression models are estimated to know the relationship between economic growth and financial sector development. The paper shows that bank’s credit to the private sector is both positively and robustly contributing to the economic development of the country when bank credit to private sector entered alone in regression as an independent variable. Besides long-term relationship, contemporaneous change in bank’s credit to the private sector has profound positive short-run feedback effects to the economic growth. In assessing impact of stock market development on economic growth, no significant long-run relationship is found between stock market development and economic growth in Bangladesh. However, net positive subdued short-term effect of stock market development is evident. But when both bank and equity market jointly enter the model to find out the relationship of both variables with economic growth, a long-run relationship has been evident without statistical significance. It indicates that Bangladeshi financial system comprising both banking sector and stock market jointly is not still a strong promoter of its economic growth, although banking development alone is robustly associated with economic development. Bangladesh therefore needs to enhance the efficiency of banks for increasing credit to the private sector. An immediate initiative is also required to make both equity and debt market as regular sources of finance for the economy. In this perspective, ensuring smooth operation of primary and secondary market, increasing financial literacy among investors, minimizing volatility of the market, expanding issuer base, creating both individual and institutional investors, enhancing efficiency of the brokerage house, adding innovative financial services, initiating knowledge based trading, introducing shelf registration system, creating more professional trustee and ensuring authenticate credit rating from the rating agencies are required to be ensured. [ABSTRACT FROM AUTHOR]

The problem is that prior studies examining the impact of monetary policy instruments on the equity market have produced mixed results. The purpose of this study was to determine the impact of changes in money supply (M2), federal funds rate (FFR), and federal funds futures on the expected rate of returns of publicly traded companies. We developed and tested a multifactor capital asset pricing model and applied regression methodologies suitable for panel data analysis to analyze the data. The multiple regression results showed positive moderation effect of M2, and negative moderation and mediation effects of FFR and federal funds futures on the expected rate of returns of publicly traded companies. The socioeconomic implication of these findings is that the Federal Reserve decisions on changing M2 is not influenced by changes in the equity prices, but changes in the equity prices are a signal for the Federal Reserve to adjust its decision on changing the FFR. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the relationship between book-tax differences (BTD) and earnings management in firms listed on the BM&F Bovespa. The final sample consisted of 485 observations (firm-year) and the analysis included the period from 2005 to 2009. Methodologically, two approaches were employed in this study: (i) frequency distribution and (ii) discretionary accruals – Modified Jones Model. The findings indicate a directly proportional relationship between BTD and discretionary accruals. There was evidence that the firms manage their earnings in the same direction of the observed signal of BTD, and seek to present the amount of BTD in level and variation around the breakeven and thus avoid a relationship with low earnings quality. Additionally, evidence indicate that the size of firm and the adoption of the tax basis transition are inversely related to the level of discretionary accruals.