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This paper investigates the impact of financial liberalization on the relationship between consumption and total wealth (i.e., the sum of asset wealth and human wealth). Financial liberalization is persistent and may signal changes in expected future consumption growth rates and/or in rates of return on wealth that, through the inter-temporal budget constraint, affect the current consumption-wealth ratio. We estimate the long-run relationship between consumption, total wealth and financial liberalization by state space methods using quarterly US data. The results show that the trend in the consumption-wealth ratio is well-captured by our baseline liberalization indicator. We find that the increase in this indicator over the sample period has increased the consumption-wealth ratio with about ten to sixteen percent. Investigating the responsible channel, additional estimates show that financial liberalization has predictive power for aggregate consumption growth rather than for returns, a result that supports an incomplete markets interpretation of the link between liberalization and the consumption-wealth ratio.

We explore the long-run relationship between income risk, inequality, and the macroeconomy in an overlapping-generations model in which households face uncertain streams of labor income and returns on their savings. To manage those risks, households can apportion their savings to a bond, whose return is safe and identical across households, and a productive asset, whose return is uncertain and can differ persistently across households. We find that greater polarization in households’ labor income and returns on their savings generally accentuates households’ demand for risk-free assets and the compensation they require for bearing risk, leading to higher measured income and wealth inequality, a lower risk-free real interest rate, and higher risk premiums. These findings suggest that the factors behind the observed rise in inequality over the past few decades might have contributed to the observed fall in the risk-free real interest rate and widening gap between the risk-free real interest rate and the rate of return on capital. We also find that the magnitude of the decline in the risk-free real interest rate and offsetting rise in risk premiums depend importantly on the source of income polarization, with the effects being especially large when greater inequality is caused by increased dispersion in returns on risky assets. Thus, the macroeconomic implications not only depend on the amount of inequality, but also the source of this inequality.

We study access to banking and how it is related to banks’ rate of return on investments and the distribution of income. We develop our empirical framework through a theoretical supply-side model of bank deposit services with a consumer population heterogeneous in income. We use this model to show how decreases in the interest rate margin and higher income disparities lead to an increase in the proportion of unbanked. Using localized US household data from 2009, 2011, 2013 and 2015 we find strong empirical evidence for the predictions of the model. We then structurally estimate our model to estimate the value of having a checking account relative to alternative financial services and to quantify the effects of actual changes in the interest rate margin and the distribution of income that occurred in the aftermath of the 2008 financial crisis.

Given overall lack of gender diversity in the venture capital and entrepreneurship industry shown in Calder-Wang and Gompers (2017) we ask: What promotes greater gender diversity in hiring? Does diversity lead to better firm performance and higher investment returns? In this paper, using a unique dataset of the gender of venture capital partners’ children, we find strong evidence that when partners have more daughters, the propensity to hire female partners increases. Moreover, our instrumental variable results suggest that increased gender diversity improves deal and fund performance. Lastly, the effects are primarily driven by the gender of senior partners’ children.

Considerable effort has been devoted to indicate the critical determinants of acquisition premiums. However, the determinants of mergers and acquisitions (M&A) premiums are not yet fully understood. This research paper empirically examines the effect of stock return volatility on mergers and acquisitions premiums through real options value of bidder and target firms. With a sample of 2,559 completed M&A deals in the US during 1986-2016, we find that bidder firms tend to pay more premiums for the targets that have more future real option value and higher risk. To be more specific, when targets have more real options measured as high Research and Development (R&D) to market value, high sales growth rate, and low leverage ratio, the relationship between target return volatility and acquisition premiums is stronger. This study contributes not only to the literature regarding the determinants of mergers and acquisitions premiums but also to the literature of real options value. Keywords: Mergers and acquisition premiums, acquisition premiums, stock return volatility, real options, growth options

The paper justifies the possibility of estimating wage premiums that higher study education graduates may receive based on the administrative data from the Polish Graduate Tracking System. The data on wages in the year preceding the admission to a given study cycle were used, along with the data from the year after graduation. For the first first-cycle full full-time study programme, the average growth in wages in relation to every each subsequent year of education ranged from 20% to 40% depending on the area of study under which a given field of study was classified. For full-time second second-cycle studies, the rate of return was 50%–60%. In the case of part-time studies, these growth rates were considerably lower.

This paper examines the relationship between household consumption and financial literacy. The economic framework is a simple life-cycle model of consumption in which financial literacy affects the rate of return on assets. The theoretical predictions are that, for plausible values of the intertemporal elasticity of substitution, financial literacy is positively related to both the level of consumption and consumption growth. We empirically test these theoretical predictions with Dutch data from the LISS household panel. Our results provide evidence in favour of a positive association between non-durable consumption, and in particular food consumption, and financial literacy. No evidence is, however, found in favour of an association between consumption growth and financial literacy.

We study how a capital income tax and a wealth tax affect an investor's valuation of a company's stock in an efficient international capital market. Using a one-period model, a model of infinite horizon where the asset generates a future cash flow that is a martingale, and a finite horizon model where we abandon the martingale assumption, we find that a wealth tax and/or a capital income tax do not lead investors to value an investment differently from untaxed investors. Investors who seek a higher pre-tax rate of return due to capital taxes harm their own wealth.

The purpose of the article/hypothesis: The aim of this article is to examine the effectiveness of trading systems built on the basis of technical analysis tools in 2015–2020 on the DAX stock exchange index. Efficiency is understood as generating positive rates of return, taking into account the risk incurred by the investor, as well as achieving better results than passive strategies. Presenting empirical evidence implying the value of technical analysis is a difficult task not only because of a huge number of instruments used on a daily basis, but also due to their almost unlimited possibility to modify parameters and often subjective evaluation. Methodology: The effectiveness of technical analysis tools was tested using selected investment strategies based on oscillators and indicators following the trend. All transactions were carried out on the Meta Trader 4 platform. The analyzed strategies were comprehensively assessed using the portfolio management quality measures, such as the Sharpe measure or the MAR ratio (Managed Account Ratio). Results of the research: The test results confirmed that the application of described investment strategies contributes to the achievement of effective results and, above all, protects the portfolio against a significant loss in the period of strong turmoil on the stock exchange. During the research period, only two strategies (Ichimoku and ETF- Exchange traded fund) would produce negative returns at the worst possible end of the investment. At the best moment, however, the „passive” investment achieved the lowest result. Looking at the final balance at the end of 2019, as many as four systems based on technical analysis were more effective than the „buy and hold” strategy, and at the end of the first quarter of 2020 – all of them. When analyzing the management quality measures, it turned out that taking into account the 21 quarters, the passive strategy had the lowest MAR index. The Sharpe’s measure is also relatively weak compared to the four leading strategies.

W pracy porównano portfele inwestycyjne budowane na podstawie różnego rodzaju wskaźników tak, aby stworzyć najbardziej efektywne portfele dla odmiennych profili inwestorów w celu porównania efektywności portfeli opartych na podstawowych założeniach maksymalizacji zysku lub ryzyka i portfela opartego na założeniu Markowitza. Badaniem objęto grupę 25 spółek akcyjnych w dwóch okresach, hossy — od października 2016 do lipca 2017 oraz bessy — od stycznia do października 2018 roku. Jako metody badania wykorzystano analizę stóp zwrotu, odchyleń standardowych i wyników osiąganych przez poszczególne portfele. Artykuł pokazuje, że metoda Markowitza nie jest kryterium, które jednoznacznie wskazuje najefektywniejszy portfel inwestycyjny. Wyniki portfeli podlegają indywidualnej interpretacji przez inwestorów i mogą stanowić alternatywę dla typowego podejścia do inwestowania w akcje. Przedstawione wyniki mogą być rekomendacją dla inwestorów podejmujących ponadprzeciętne ryzyko lub wychodzących z założenia, że tylko portfele o dużym odchyleniu standardowym cechują się wyższymi niż średnie stopami zwrotu.

Unlike many other countries, Britain had a weak private rented sector (PRS) in decline for most of the twentieth century. A revival began from the turn of the millennium. The platform for this rebi...

This research specifically incorporates the impact of the disposition effect of trading volume into the model construction to more accurately verify the overconfidence behavior of investors in the Taiwan stock market. Based on the theoretical framework and related literature of overconfidence and disposition behavior, we propose the hypothesis to be test and further uses Taiwan stock price index with a turnover rate and return rate after removing the weekly effect for about ten-year data, and construct a tri-variate VAR-GARCH model to examine the investor overconfidence behavior and disposition effect of Taiwan stock market. The empirical results indicate that investors in the Taiwan stock market do have a tendency to overconfidence and are easily affected by the market environment. According to the risk of market capitalization, overconfident investors are not necessarily inclined to hold higher risk stocks. In addition to overconfidence behavior, investors in the Taiwan stock market also have a significant disposition effect, indicating that investors cannot rationally judge the timing of selling or purchasing their stocks. By recognizing this relationship and analyzing the biased trends from overconfidence and disposition effect in trading volumes and returns, such knowledge can help the investors/practitioners to develop strategies and take appropriate measures.

Human capital highly affects economics productivity. Thus, education plays an important factor in every demographic dividend. This study will estimate the return on education to paid-employment and self-employment in East Java using SAKERNAS 2012. Using Mincerian specification and Sohn model, this study analyzed the baseline model and to analyse further in self-employment. This study will also compare result in East Java with National and other Java province. Results from estimation found that return on education in East Java is generally higher than national, but lower than West Java. As for self-employment, return on education in East Java is lower than paid-employment, but in the lowest magnitude if compared with National and other Java region. Labor market flexibility that analyzed in this study also shows that East Java relatively more flexible. As a matter of opportunity cost, the low return rate of education in East Java demand some adjustment in education and labor market policy to optimize the economic outcome.

The stability of the interbank market is an essential guarantee for the sustainable development of society. Network entropy theory provides a critical research paradigm for the study of the stability of the interbank market. Considering that few scholars have conducted in-depth analysis on the influencing factors of the network entropy’s evolution process, this paper constructs the stock correlation network entropy model in the Chinese interbank market based on the correlation of stock price fluctuation. It focuses on analyzing the influencing factors in the dynamic evolution process of the stock correlation network entropy. In the light of empirical research, we can obtain the following results. First, the interbank market network’s aggregation coefficient, the interbank market network’s centrality, and the bank stock’s return rate play a positive role in the dynamic evolution of stock correlation network entropy in the Chinese interbank market. Second, the bank stock return’s volatility is negatively correlated with its network entropy. To maintain the stability of the financial market, the supervision department can monitor the stability of the interbank market by constructing the stock correlation network entropy.

While higher effort in research is advocated for agriculture, there continues to be a lack of measurement of its impact in economic terms, at least in Europe. This paper seeks to assess the economic impact of public agricultural R&D investments in Europe. Different panel models are applied on 16 European countries, by employing productivity and investment data. Results show positive impacts with returns on public R&D investments on agricultural productivity of between 6.5% and 15.2%, varying according to model specifications and computation techniques. These values confirm that research expenditure in agriculture is well justified in economic terms. However, the results are highly dependent on the analytical approach and limited by the paucity of expenditure data. Further research is recommended to take into account the role of other important determinants of impact, such as climate, spill overs and the Common Agricultural Policy (CAP). However, a proper consideration of these variables will first require a major improvement of data availability.

There is a certain relationship among stock return rate, market return rate and risk-free interest rate, which is worth discussing, and it is helpful for us to analyze stocks and evaluate their prices. I have found that the market return rate and risk-free rate have correlation through multiple regression, and other stock's return rate can affect the target stock to some extent. The stock return rate is positively related to the market interest rate and inversely related to the risk-free interest rate.

I consider the role of news provided by the media as signals used by investors to learn about partisan conflict. Higher partisan conflict induces uncertainty (by increasing the probability of crises) and gridlock (making tax reforms less likely), both affecting investment returns. The true degree of political disagreement is unobservable to investors, who create expectations based on the observation of informative signals. Using a Bayesian learning model, I illustrate how these signals affect investment decisions. To the extent crises are severe enough, an increase in the partisan conflict reduces expected returns and induces lower investment.

This paper quantifies the factors contributing to Australia’s gender gap in superannuation balances. Around 60 per cent of the gap can be attributed to the prior stock of superannuation, for respondents who had superannuation balances in both 2014 and 2018 in the Household Income and Labour Dynamics in Australia Survey. This is partly due to the accumulation of the prior gap with investment returns. Financial literacy and risk aversion explain around 7 per cent of the gap in total, such as through impacts on subsequent investment returns. Work patterns and wage rates affect contributions and explain approximately 30 per cent of the superannuation gap in total.

This study investigates the effects of earnings announcements on stock prices in Boursa Kuwait, formerly known as the Kuwait Stock Exchange (KSE). The data spans the period 2018–2020, and both positive and negative earnings announcements are employed as shock events and their effects assessed. The study results show that there is a statistically abnormal rate of return before and after the earnings announcements and that most abnormal returns are just after the earnings announcement. This most likely indicates that Boursa Kuwait is a semi-strong efficient stock market. One important implication is an indication that insider-related trading might be absent in Boursa Kuwait.

The aim of the article is to prove the positive impact of education on work salary. For this purpose, the main task of the article is toestimate the Mincer rate of return by taking several factors into account. A secondary task of the research is to analyze the results of2010 and 2011 and to find explanations for the significant differences between the two years. The results of research and a detailedanalysis of the labour market indicate a positive return from attainment of education at an individual level, and they strengthen thehypothesis about a correlation among higher education attainment, higher employment levels and welfare. So far, the Mincer rate ofreturn has not been widely used in Latvia. Keywords: rate of return, education, work salary. DOI: http://dx.doi.org/ 10.15181/rfds.v11i3.623

Ten states have created natural-resource-based Sovereign Wealth Funds (SWF) to allow a fraction of the wealth derived from the extraction of non-renewable resources to be available for future use. Minnesota does not have a SWF, even though companies have been mining in the state for over 100 years. Herein, we present backward and forward-looking scenarios to estimate the potential magnitude of a “what-if” extraction-based fund. A 1.5% of value tax is suggested as an SWF funding mechanism. Based on historical extraction, prices, and investment returns, a large SWF could already exist. In the forward-looking section, we begin by econometrically estimating the supply and demand of US iron ore production to better understand how an increase in mining taxes would likely effect mining output (i.e., the production effect). After accounting for an estimated 4% production loss, results suggest enough minerals could still be extracted to create a permanent fund with between $930 million (US) and $1.6 billion dollars (US) in direct contributions by 2050 (depending on price). Using reasonable assumptions of a 2% inflation rate and a 5% annual investment return, the fund size could range from $3 billion to $5 billion by 2050.

In many jurisdictions, the determination of the acceptable rate of return for the assets of a regulated utility is based partially on the Capital Asset Pricing Model (CAPM) to determine risk premia. However, the traditional estimation of CAPM can be criticized for not including considerations of reference-day risk as well as the higher moments of the rates of return. In this paper, we attempt to account for both the potential variation induced by the definition of specific reference days and the higher moments of rates of return in the estimates of Beta. This paper provides a new methodology to account for reference-day variation. We construct a set of pseudo-monthly rates of return to identify the influence of reference-day choice. These pseudo-monthly asset returns are used to estimate measures of asset systematic risk for an international panel of regulated firms. To evaluate the influence of return rate volatility we examine the errors from the estimation of the CAPM with least squares, least absolute deviation and a partially adaptive maximum likelihood specification.

Stocks are one of the popular investment instruments traded in the capital market. The popularity of stock purchase has developed along with the massive financial literacy movement. However, the massiveness of this movement must be balanced with knowledge and expertise in managing stock instruments since they have a high return rate and high risk. One way to manage stocks is by developing an optimal stock portfolio based on the Markowitz model. The Markowitz model is a method that formulates the elements of return and risk in an investment, and specifically the elements of risk can be minimized through diversification and combination of various investment instruments into a portfolio. By using the Markowitz method, investors can take advantage of all available information as a basis for maximizing the portfolio. This study aimed to determine which stocks can form an optimal portfolio, especially in the era of the COVID 19 pandemic and the optimal proportion of the portfolio that is feasible to obtain from stocks listed in the LQ 45 Index. The study samples involved stocks listed in the LQ 45 Index. The data analysis technique applied in this study was portfolio optimization using the Markowitz model. The results of this study showed that the optimal portfolio consisted of BBCA with a weight of 78.09% and BRPT with a weight of 21.91% which produced an expected return of 2.35% and a standard deviation of 7.01%.

The essence of portfolio formation is to reduce risk by means of diversification, namely allocating a number of funds to various investment alternatives that are negatively correlated. To select returns in a portfolio, you can use the Single Index Model and the Markowitz Model. This study was conducted with the aim of comparing the calculation of which company portfolios can provide a good rate of return with a small risk using the Single Index and Markowitz Model based on the sector of the company. So that the results of this study can provide recommendations to investors in decision making on portfolio selection. The research was conducted on companies indexed by LQ 45 on the Indonesia Stock Exchange. The research period is to use companies indexed by LQ 45 in 2018 for two periods.

The optimal investment to mitigate climate change crucially depends on the discount rate used to evaluate the investment's uncertain future benefits. The appropriate discount rate is a function of the horizon over which these benefits accrue and the riskiness of the investment. In this paper, we estimate the term structure of discount rates for an important risky asset class, real estate, up to the very long horizons relevant for investments in climate change abatement. We show that this term structure is steeply downward-sloping, reaching 2.6% at horizons beyond 100 years. We explore the implications of these new data within both a general asset pricing framework that decomposes risks and returns by horizon and a structural model calibrated to match a variety of asset classes. Our analysis demonstrates that applying average rates of return that are observed for traded assets to investments in climate change abatement is misleading. We also show that the discount rates for investments in climate change abatement that reduce aggregate risk, as in disaster-risk models, are bounded above by our estimated term structure for risky housing, and should be below 2.6% for long-run benefits. This upper bound rules out many discount rates suggested in the literature and used by policymakers. Our framework also distinguishes between the various mechanisms the environmental literature has proposed for generating downward-sloping discount rates.

This research was conducted with the aim to examine the effect of variable Investment Knowledge, Investment Benefit, Investment Motivation, Investment Capital Minimum and Investment Return on Investment Interest in Capital Market Study in Faculty of Economics and Business University of Mataram Student. This type of research is a associative research with quantitative methods. The sample in this study was obtained by cluster sampling method. Based on the existing criteria, there were 60 student of Faculty Economics and Business which is the sample in this study is 36 Accounting Student, 18 Management student and 6 Economics Student that became the study sample. The data source used in this study is primary data, the data analysis technique used is multiple linear regression. The results showed that the Investment Knowledge, Investment Motivation and Investment Minimum Capital whose coefficients are positive but have no significant effect on Investment Interest. Other variable in this research Investment Benefits and Investment Return coefficient was positive and significant towards the Investment Interest. Based on the results of the F test showed that the feasibility in the model obtained a significance value of 0,000

This study empirically investigates the conditional variance (volatility) in the daily returns of Boursa Kuwait’s market index, along with seven sectoral indices, for the period of 13 May 2012 to 1 March 2018. The returns results exhibited leptokurtosis, were skewed left, and were not normally distributed; additionally, there was evidence of ARCH effects. The symmetric GARCH model results demonstrated evidence of volatility clustering and persistence; the GARCH-M model results showed a negative relationship between the indices’ returns and risk. The conditional variance (volatility) is affected by positive shocks, leading to positive asymmetric values of EGARCH and negative asymmetric values of TGARCH. From this, it can be inferred that good news has a greater impact on the volatility of index returns than bad news. The research results are crucial for investors, risk forecasters, and policy makers. Data and methodology: The main weighted market index and seven weighted sectoral indices were chosen based on the secondary data for continuous daily trading, without any missing figures, available from the official website (www.boursakuwait.com.kw) of Boursa Kuwait gathered from 13 May 2012 to 1 March 2018. The weighted sectoral indices included are banking, financial services, oil and gas, real estate, consumer goods, industry, and telecommunication. Excel 2010 software and Eviews 10 econometric package were used for analysing the data. The following steps were applied (a) Calculating the Rate of Return (b) Descriptive Statistics (c) Testing the Presence of Unit Roots (d) Testing for Heteroscedasticity (ARCH effects) (e) Symmetric Volatility Measurement (f) Asymmetric Volatility Measurement (g) Information Criteria Conclusion: “Volatility estimation is important for finance research, and a new empirical research direction for Boursa Kuwait has been conducted by examining the conditional volatility. This was done by applying GARCH models to the returns of the market index and seven sectoral indices using daily data from 13 May 2012 to 1 March 2018. The results of the volatility estimation by the GARCH, GARCH-M, EGARCH, and TGARCH models are worthy of consideration by investors, researchers, and financial regulators.

Financing educational programmes in Less Developed Countries (LDCs) is at the cross-roads. The clamour for socialization of higher education in the face of large number of uncmployeci university graduates vis-a-vis dearth of adequate manpower to feed the development aciivities deserves consideration in a clearer perspectivc. The relatively high incidence of unemployment points out thc econotnic waste involved in using scarce resource. Moreover, for each occupation there is an optimum amount of formal schooling. Thus in some cases, labour productivity declines as schooling increases.