Whether stock market provides high returns: evidence from skewness of individual stocks in China

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tianning Ma ◽  
Shuo Li ◽  
Xu Feng
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Portfolio Diversification ◽  
Government Bond ◽  
Chinese Market ◽  
Government Bonds ◽  
Content Type ◽  
Stock Market Return ◽  
Bond Returns

PurposeThis paper studies whether individual stocks provide higher returns than government bond in the Chinese market.Design/methodology/approachThe authors compare individual stock returns and government bond returns in the Chinese market.FindingsThe authors find that more than half of individual stocks underperform government bonds over the same period in China, which highlights the important role of positive skewness in the distribution of individual stock returns. The high return of a few stocks is the reason why the stock market return is higher than that of government bond in China.Originality/valueThe results of this paper emphasize that portfolio diversification plays an important role in the Chinese market.

scholarly journals The role of liquidity in asset pricing: the special case of the Portuguese Stock Market

2017 ◽  
Vol 22 (43) ◽  
pp. 191-206 ◽  
Author(s):  
María del Mar Miralles-Quirós ◽  
José Luis Miralles-Quirós ◽  
Celia Oliveira
Keyword(s):  
Asset Pricing ◽  
Stock Market ◽  
Stock Returns ◽  
Stock Markets ◽  
Emerging Market ◽  
Methodological Approach ◽  
Model Framework ◽  
Content Type ◽  
Previous Evidence

Purpose The aim of this paper is to examine the role of liquidity in asset pricing in a tiny market, such as the Portuguese. The unique setting of the Lisbon Stock Exchange with regards to changes in classification from an emerging to a developed stock market, allows an original answer to whether changes in the development of the market affect the role of liquidity in asset pricing. Design/methodology/approach The authors propose and compare two alternative implications of liquidity in asset pricing: as a desirable characteristic of stocks and as a source of systematic risk. In contrast to prior research for major stock markets, they use the proportion of zero returns which is an appropriated measure of liquidity in tiny markets and propose the separated effects of illiquidity in a capital asset pricing model framework over the whole sample period as well as in two sub-samples, depending on the change in classification of the Portuguese market, from an emerging to a developed one. Findings The overall results of the study show that individual illiquidity affects Portuguese stock returns. However, in contrast to previous evidence from other markets, they show that the most traded stocks (hence the most liquid stocks) exhibit larger returns. In addition, they show that the illiquidity effects on stock returns were higher and more significant in the period from January 1988 to November 1997, during which the Portuguese stock market was still an emerging market. Research limitations/implications These findings are relevant for investors when they make their investment decisions and for market regulators because they reflect the need of improving the competitiveness of the Portuguese stock market. Additionally, these findings are a challenge for academics because they exhibit the need for providing alternative theories for tiny markets such as the Portuguese one. Practical implications The results have important implications for individual and institutional investors who can take into account the peculiar effect of liquidity in stock returns to make proper investment decision. Originality/value The Portuguese market provides a natural experimental area to analyse the role of liquidity in asset pricing, because it is a tiny market and during the period studied it changed from an emerging to a developed stock market. Moreover, the authors have to highlight that previous evidence almost exclusively focuses on the US and major European stock markets, whereas studies for the Portuguese one are scarce. In this context, the study provides an alternative methodological approach with results that differ from those theoretically expected. Thus, these findings are a challenge for academics and open a theoretical and a practical debate.

A quantile regression approach to evaluate the relative impact of global and local factors on the MENA stock markets

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Slah Bahloul ◽  
Nawel Ben Amor
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Stock Returns ◽  
Stock Markets ◽  
Financial Integration ◽  
Ordinary Least Squares ◽  
Market Returns ◽  
Stock Market Returns ◽  
Content Type ◽  
The Impact

PurposeThis paper investigates the relative importance of local macroeconomic and global factors in the explanation of twelve MENA (Middle East and North Africa) stock market returns across the different quantiles in order to determine their degree of international financial integration.Design/methodology/approachThe authors use both ordinary least squares and quantile regressions from January 2007 to January 2018. Quantile regression permits to know how the effects of explanatory variables vary across the different states of the market.FindingsThe results of this paper indicate that the impact of local macroeconomic and global factors differs across the quantiles and markets. Generally, there are wide ranges in degree of international integration and most of MENA stock markets appear to be weakly integrated. This reveals that the portfolio diversification within the stock markets in this region is still beneficial.Originality/valueThis paper is original for two reasons. First, it emphasizes, over a fairly long period, the impact of a large number of macroeconomic and global variables on the MENA stock market returns. Second, it examines if the relative effects of these factors on MENA stock returns vary or not across the market states and MENA countries.

Weather, investor psychology and stock returns: evidence from Fiji's stock market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Janesh Sami
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Sunshine Duration ◽  
Market Returns ◽  
Modeling Framework ◽  
Stock Market Returns ◽  
Content Type ◽  
Asset Pricing Models ◽  
Weather Changes ◽  
Practical Implications

PurposeThis paper investigates whether weather affects stock market returns in Fiji's stock market.Design/methodology/approachThe author employed an exponential general autoregressive conditional heteroskedastic (EGARCH) modeling framework to examine the effect of weather changes on stock market returns over the sample period 9/02/2000–31/12/2020.FindingsThe results show that weather (temperature, rain, humidity and sunshine duration) have robust but heterogenous effects on stock market returns in Fiji.Research limitations/implicationsIt is useful for scholars to modify asset pricing models to include weather-related variables (temperature, rain, humidity and sunshine duration) to better understand Fiji's stock market dynamics (even though they are often viewed as economically neutral variables).Practical implicationsInvestors and traders should consider their mood while making stock market decisions to lessen mood-induced errors.Originality/valueThis is the first attempt to examine the effect of weather (temperature, rain, humidity and sunshine duration) on stock market returns in Fiji's stock market.

Do Indian stock market sentiments impact contemporaneous returns?

2018 ◽  
Vol 7 (3) ◽  
pp. 332-346
Author(s):  
Divya Aggarwal ◽  
Pitabas Mohanty
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Temporal Dynamics ◽  
Stock Exchange ◽  
Principal Component ◽  
Stock Index ◽  
Content Type ◽  
Investor Sentiments ◽  
Indian Stock Market ◽  
The Impact

Purpose The purpose of this paper is to analyse the impact of Indian investor sentiments on contemporaneous stock returns of Bombay Stock Exchange, National Stock Exchange and various sectoral indices in India by developing a sentiment index. Design/methodology/approach The study uses principal component analysis to develop a sentiment index as a proxy for Indian stock market sentiments over a time frame from April 1996 to January 2017. It uses an exploratory approach to identify relevant proxies in building a sentiment index using indirect market measures and macro variables of Indian and US markets. Findings The study finds that there is a significant positive correlation between the sentiment index and stock index returns. Sectors which are more dependent on institutional fund flows show a significant impact of the change in sentiments on their respective sectoral indices. Research limitations/implications The study has used data at a monthly frequency. Analysing higher frequency data can explain short-term temporal dynamics between sentiments and returns better. Further studies can be done to explore whether sentiments can be used to predict stock returns. Practical implications The results imply that one can develop profitable trading strategies by investing in sectors like metals and capital goods, which are more susceptible to generate positive returns when the sentiment index is high. Originality/value The study supplements the existing literature on the impact of investor sentiments on contemporaneous stock returns in the context of a developing market. It identifies relevant proxies of investor sentiments for the Indian stock market.

Does macroeconomic uncertainty really matter in predicting stock market behavior? A comparative study on China and USA

2020 ◽  
Vol 10 (4) ◽  
pp. 393-427 ◽  
Author(s):  
Ghulam Abbas ◽  
Shouyang Wang
Keyword(s):  
Risk Factors ◽  
Financial Crisis ◽  
Stock Market ◽  
Global Financial Crisis ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Macroeconomic Risk ◽  
Stock Market Return ◽  
Macroeconomic Uncertainty ◽  
The Impact

PurposeThe study aims to analyze the interaction between macroeconomic uncertainty and stock market return and volatility for China and USA and tries to draw some invaluable inferences for the investors, portfolio managers and policy analysts.Design/methodology/approachEmpirically the study uses GARCH family models to capture the time-varying volatility of stock market and macroeconomic risk factors by using monthly data ranging from 1995:M7 to 2018:M6. Then, these volatility series are further used in the multivariate VAR model to analyze the feedback interaction between stock market and macroeconomic risk factors for China and USA. The study also incorporates the impact of Asian financial crisis of 1997–1998 and the global financial crisis of 2007–2008 by using dummy variables in the GARCH model analysis.FindingsThe empirical results of GARCH models indicate volatility persistence in the stock markets and the macroeconomic variables of both countries. The study finds relatively weak and inconsistent unidirectional causality for China mainly running from the stock market to the macroeconomic variables; however, the volatility spillover transmission reciprocates when the impact of Asian financial crisis and Global financial crisis is incorporated. For USA, the contemporaneous relationship between stock market and macroeconomic risk factors is quite strong and bidirectional both at first and second moment level.Originality/valueThis study investigates the interaction between stock market and macroeconomic uncertainty for China and USA. The researchers believe that none of the prior studies has made such rigorous comparison of two of the big and diverse economies (China and USA) which are quite contrasting in terms of political, economic and social background. Therefore, this study also tries to test the presumed conception that macroeconomic uncertainty in China may have different impact on the stock market return and volatility than in USA.

Does corporate governance matter for stock returns volatility in the Brazilian context?

2019 ◽  
Vol 19 (6) ◽  
pp. 1236-1252
Author(s):  
Guilherme Cardoso ◽  
Dannie Delanoy Carr ◽  
Pablo Rogers
Keyword(s):  
Corporate Governance ◽  
Stock Market ◽  
Stock Returns ◽  
Term Structure ◽  
Good Governance ◽  
Corporate Boards ◽  
Content Type ◽  
Error Measures ◽  
Good Corporate Governance ◽  
Governance Practices

Purpose This paper aims to examine the Brazilian stock market behavior and volatility term structure of two portfolios that, theoretically, the companies that comprise them have different degrees of idiosyncratic risk: one portfolio consists of firms with good corporate governance and the other comprises firms with poor corporate governance. Design/methodology/approach The sample comprises corporate firms listed in the Brazilian stock market during the period from January 2008 to December 2017. Generalized autoregressive conditional heteroskedasticity models were applied. Findings The results show that the portfolio of firms with good corporate governance practices presents fluctuations that are more often temporary and reactive, with trends’ persistence of shorter durations, when considering the punctual volatility of the parameters estimated. This opposed expectation that the portfolio comprised of companies with good governance practices are better protected from short-term movements. However, over time and with standard error measures in consideration, both portfolios’ volatilities behave in similar ways. These findings may be related to Brazilian market characteristics, such as ownership concentration, ineffective corporate boards and the ever-developing nature of the stock market in Brazil. Any one of these characteristics present challenges to effective enforcement of the corporate governance practices in the Brazilian context. Originality/value The findings are potentially to the interest of researchers and practitioners for several reasons. First, this paper contributes to the growing literature on the relationship between corporate governance and market volatility. Second, it informs that volatility in the Brazilian context is likely only partially, if at all, influenced by corporate governance practices. Third, longitudinally, both indices follow the same pattern and converge to the same place.

Asymmetric impact of exchange rate changes on stock returns: evidence of two de facto regimes

2019 ◽  
Vol 19 (2) ◽  
pp. 147-173
Author(s):  
Walid M.A. Ahmed
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Spillover Effects ◽  
Content Type ◽  
Currency Depreciation ◽  
Long Run ◽  
Exchange Rate Changes

Purpose This study focuses on Egypt’s recent experience with exchange rate policies, examining the existence of spillover effects of exchange rate variations on stock prices across two different de facto regimes and whether these effects, if any, are asymmetric. Design/methodology/approach The empirical analysis is carried out using a nonlinear autoregressive distributed lag modeling framework, which permits testing for the presence of short- and long-run asymmetries. Relevant local and global factors are also included in the analysis as control variables. The authors divide the entire sample into a soft peg period and a free float one. Findings Over the soft peg regime period, both positive and negative changes in EGP/USD exchange rates seem to have a significant impact on stock returns, whether in the short or long run. Short-term asymmetric effects vanish in the free float period, while long-term asymmetries continue to exist. By and large, the authors find that currency depreciation tends to exercise a stronger influence on stock returns than does currency appreciation. Practical implications The results offer important insights for investors, regulators and policymakers. With the domestic currency depreciation having a negative impact on stock prices, investors should contemplate implementing appropriate currency hedging strategies to abate depreciation risks and, hence, preserve their expected rate of return on the Egyptian pound-denominated investments. In the current post-flotation era, the government could pursue a flexible inflation targeting monetary policy framework, with a view to both lowering the soaring inflation toward an announced target rate and stabilizing economic growth. The Central Bank of Egypt (CBE) could adopt indirect monetary policy instruments to secure tightened liquidity conditions. Besides, the CBE could raise policy rates to incentivize people to keep their money in local currency-denominated instruments, instead of dollarizing their savings, thereby relieving banks of foreign currency demand pressures. Nevertheless, while being beneficial to the country’s real economy on several aspects, such contractionary monetary measures may temporarily impinge on stock market performance. Accordingly, policymakers should consider precautionary measures that reduce the potential for price distortions and unnecessary volatility in the stock market. Originality/value To the best of the authors’ knowledge, the current study represents the first attempt to explore the potential impact of exchange rate changes under different regimes on Egypt’s stock market, thus contributing to the relevant research in this area.

Investor attention and market correction

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhongdong Chen
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Behavior ◽  
Investor Attention ◽  
Information Effect ◽  
Content Type ◽  
Economic Significance ◽  
New Information ◽  
Positive Volume ◽  
The Impact

PurposeThis study disentangles the investor-base effect and the information effect of investor attention. The former leads to a larger investor base and higher stock returns, while the latter facilitates the dissemination of information among investors and impacts informational trading.Design/methodology/approachUsing positive volume shocks as a proxy for increased investor attention, this study evaluates the impacts of the investor-base effect and the information effect of investor attention on market correction following extreme daily returns in the US stock market from 1966 to 2018.FindingsThis study finds that the investor-base effect increases subsequent returns of both daily winner and daily loser stocks. The information effect leads to economically less significant return reversals for both the daily winner and daily loser stocks. These two effects tend to have economically more significant impacts on the daily loser stocks. The economic significance of these two effects is also related to firm size and the state of the stock market.Originality/valueThis study is the first to disentangle the investor-base effect and the information effect of increased investor attention. The evidence that the information effect facilitates the dissemination of new information and impacts stock returns contributes to the strand of studies on the impact of investor attention on market efficiency. This evidence also contributes to the strand of studies analyzing the impact of informational trading on stock returns. In addition, this study provides evidence for market overreaction and the subsequent correction. The results for up and down markets contribute to the literature on the investors' trading behavior.

scholarly journals Market reactions to CSR news in different industries

2020 ◽  
Vol 25 (2) ◽  
pp. 243-261
Author(s):  
Andrea Pérez ◽  
María del Mar García de los Salmones ◽  
Carlos López-Gutiérrez
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Media Coverage ◽  
Market Value ◽  
Market Reactions ◽  
Content Type ◽  
Goods And Services ◽  
The Media ◽  
Stock Market Reactions ◽  
Corporate Social

PurposeBased on the premises of the institutional theory, in this paper, we explore the effects that the media coverage of positive and negative Corporate Social Responsibility (CSR) news have on the stock market value of companies in diverse industries.Design/methodology/approachUsing a sample of 195 online articles published in the most important Spanish business newspaper, we implement an event study and a regression analysis.FindingsThe findings show that positive and negative CSR news, usually, have significant impacts on the stock market value of companies. Specifically, the market reaction is stronger under the announcement of negative news in all industries (i.e. basic, energy, finance and goods and services), although positive news also cause significant positive stock market reactions in the finance and basic industries.Originality/valueAlthough the media plays an indispensable role in the dialogue around CSR, much of the research focused on the role of the media on the CSR-CFP link does not consider how the industry variable can affect the abnormal stock returns derived from CSR news. This research contributes to this gap in the literature by exploring the differences that exist in the stock market reactions to CSR news based on the industry in which the companies operate.

Herding behavior in Islamic GCC stock market: a daily analysis

2018 ◽  
Vol 11 (2) ◽  
pp. 182-193 ◽  
Author(s):  
Mustapha Chaffai ◽  
Imed Medhioub
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Financial Markets ◽  
Stock Returns ◽  
Stock Markets ◽  
Content Type ◽  
Quantile Regression Analysis ◽  
Herd Behaviour ◽  
The Impact ◽  
Quantile Regression Method

Purpose This paper aims to examine the presence of herd behaviour in the Islamic Gulf Cooperation Council (GCC) stock markets following the methodology given by Chiang and Zheng (2010). Generalized auto regressive conditional heteroskedasticity (GARCH)-type models and quantile regression analysis are used and applied to daily data ranging from 3 January 2010 to 28 July 2016. Results show evidence of herd behaviour in the GCC stock markets. When the data are divided into down and up market periods, herd information is found to be statistically significant and negative during upward market periods only. These results are similar to those reported in some emerging markets such as China, Japan and Hong Kong, where stock returns perform more similarly during down market periods and differently during rising markets. Design/methodology/approach The authors present a brief literature on herd behaviour. Second, the authors provide some specificity of the GCC Islamic stock market, followed by the presentation of the methodology and the data, results and their interpretation. Findings The authors take into account the difference existing in market conditions and find evidence of herding behaviour during rising markets only for GCC markets. This result was confirmed after using the quantile regression method, as evidence of herding was observed only in highly extreme periods. Stock returns perform more similarly when market is down in Islamic GCC stock market. Research limitations/implications The research limitation consists in the fact that this work can be extended to compare the GCC stock markets with other markets in Asia such as Malaysia and Indonesia. Practical implications The principal implication consists in the fact that herding behaviour is limited in the GCC markets and Islamic finance can have an important contribution to moderate the behaviour in the financial markets. Social implications The work focusses on the role of ethics in the financial markets and their ability to reduce the impact of behavioural biases. Originality/value The paper studies the behaviour of investors in the Islamic financial markets and gives an idea about the importance of the behaviour in this particular market regarding its characteristics.

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