scholarly journals LIQUIDITY RISK AND STOCK RETURN IN LATIN AMERICAN EMERGING MARKETS

2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Francisco Javier Vasquez-Tejos ◽  
Prosper Lamothe Fernandez
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Latin American ◽  
Stock Return ◽  
Risk Measures ◽  
Liquidity Risk ◽  
Multiple Regression Model ◽  
Investment Strategies ◽  
Developed Markets ◽  
The Impact

This study analyzes the impact of liquidity risk on stock returns in four Latin American markets (Chile, Columbia, Mexico, and Peru) between January 1998 and July 2018. Several previous studies have focused on measuring this effect in developed markets and a few in emerging markets, such as Latin American stock markets. In the present study, five liquidity risk measures with a multiple regression model; three have been widely used in previous studies and two were from recently proposed measures. We found evidence of an inverse relationship between liquidity risk and stock performance, which indicates that there exist rewards for investing in less liquid positions and therefore originate new investment strategies. In general, lesser developed or smaller markets have a disadvantage for this type of study, due to lack of access to historical information on stock purchase and sales.

scholarly journals Stock returns and liquidity risk in Chile

2019 ◽  
Vol 17 (2) ◽  
Author(s):  
Francisco Javier Vásquez-Tejos ◽  
Hernán Pape-Larre ◽  
Juan Martín Ireta-Sánchez
Keyword(s):  
Stock Market ◽  
Emerging Markets ◽  
Regression Model ◽  
Stock Returns ◽  
Multiple Regression ◽  
Risk Measures ◽  
Liquidity Risk ◽  
Multiple Regression Model ◽  
Developed Markets ◽  
The Impact

This study analyzes the impact of liquidity risk on the return of shares in the Chilean stock market, during the period from January 2000 to July 2018. A large number of studies have focused on measuring this effect in developed markets and few in emerging markets, especially the Chilean one. To do this, we used 6 risk measures in a multiple regression model; four widely used in previous studies and two new proposed measures. We found evidence of the significance of the liquidity risk over the stock return.RESUMENEste estudio analiza el impacto del riesgo de liquidez sobre el retorno de las acciones en el mercado bursátil chileno, durante el periodo de enero de 2000 hasta julio de 2018. Gran cantidad de estudios se han centrado en medir este efecto en los mercados desarrollados y pocos en mercados emergentes, especialmente el chileno. Para ello, se utilizó un modelo de regresión múltiple 6 medidas de riesgo; cuatro utilizadas ampliamente en estudios anteriores y dos medidas nuevas propuestas. Encontramos evidencia de significancia del riesgo de liquidez sobre el retorno accionario.RESUMOEste estudo analisa o impacto do risco de liquidez no retorno das ações no mercado de ações chileno, durante o período de janeiro de 2000 a julho de 2018. Muitos estudos têm se concentrado em medir este efeito em mercados desenvolvidos e poucos nos mercados emergentes, especialmente o chileno. Para isso, utilizamos 6 medidas de risco em um modelo de regressão múltipla; quatro amplamente utilizados em estudos anteriores e duas novas medidas propostas. Encontramos evidências da significância do risco de liquidez sobre o retorno das ações.  

scholarly journals Liquidity Risk and Asset Pricing in Pakistan Stock Exchange

2021 ◽  
Vol 19 (1) ◽  
Keyword(s):  
Asset Pricing ◽  
Stock Returns ◽  
Stock Exchange ◽  
Risk Measures ◽  
Liquidity Risk ◽  
Excess Returns ◽  
Market Conditions ◽  
Bear Market ◽  
Market Trends ◽  
The Impact

This paper empirically investigates the impact of liquidity risk on stock returns in Pakistan and determines investors' attitude under bull and bear market conditions. Specifically, the liquidity adjusted capital asset pricing model(CAPM) is modified by including the interaction between the liquidity risk and the indicators of bull- and bear-market periods to investigate whether the pricing of liquidity risk differs in both upward and downward market trends. The analysis is carried out for a large panel of Pakistani manufacturing firms listed at the Pakistan Stock Exchange for the period January 2000 – December 2015. We use alternative liquidity risk measures to check the robustness of the liquidity risk effect. We observe that higher liquidity risk yields higher excess stock returns, implying pricing of liquidity risk during the examined period. The results also reveal that the liquidity risk is positively and significantly related to excess returns in the high-liquidity-risk beta portfolios, whereas it is negatively or insignificantly related to excess returns of low-liquidity-risk beta portfolios. The results also provide evidence that stocks affected by liquidity risk yield positive expected returns in both bull and bear market conditions. However, we find significant differences in the pricing of liquidity risk under upward and downward market trends. The robustness check confirms that the findings on the pricing of liquidity risk are not driven by any specific measure of liquidity.

Stock Returns and Volatility: Evidence from Select Emerging Markets

2009 ◽  
Vol 12 (04) ◽  
pp. 567-592 ◽  
Author(s):  
Ravinder Kumar Arora ◽  
Himadri Das ◽  
Pramod Kumar Jain
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Stock Return ◽  
Leverage Effect ◽  
Return Volatility ◽  
Stock Return Volatility ◽  
Developed Markets ◽  
Return Distributions ◽  
The Mean ◽  
Return Data

This paper investigates the behavior of stock returns and volatility in 10 emerging markets and compares them with those of developed markets under different measures of frequency (daily, weekly, monthly and annual) over the period January 1, 2002 to December 31, 2006. The ratios of mean return to volatility for emerging markets are found to be higher than those of developed markets. Sample statistics for stock returns of all emerging and developed markets indicate that return distributions are not normal and return volatility shows clustering. In most cases, GARCH (1, 1) specification is adequate to describe the stock return volatility. The significant lag terms in the mean equation of GARCH specification depend on the frequency of the return data. The presence of leverage effect in volatility behavior is examined using the TAR-GARCH model and the evidence indicates that is not present across all markets under all measures of frequency. Its presence in different markets depends on the measure of frequency of stock return data.

scholarly journals Does Financial Performance Matter? Evidence on the Impact of Liquidity and Firm Size on Stock Return in Indonesia

2020 ◽  
Vol 11 (4) ◽  
pp. 546
Author(s):  
Mochammad Chabachib ◽  
Ike Setyaningrum ◽  
Hersugondo Hersugondo ◽  
Intan Shaferi ◽  
Imang Dapit Pamungkas
Keyword(s):  
Stock Returns ◽  
Firm Size ◽  
Significant Relationship ◽  
Stock Return ◽  
Stock Exchange ◽  
Mediating Effect ◽  
Return On Equity ◽  
Stock Investment ◽  
Equity Ratio ◽  
The Impact

In the modern era, stock investment can attract domestic investors or foreign investors. The objective is to invest their funds at the capital market that expect higher stock returns. The study aims to analyze factors that can affect stock returns and know the mediating effect of return on equity. The object of this research is the property and real estate sector that is listed on the Indonesia Stock Exchange from 2013 to 2018. This research used debt to equity ratio, current ratio, total asset turnover, firm size as independent variables and stock returns as dependent variables. Path analysis is used as reseach method tools with SMART PLS.The result says that debt to equity ratio and return on equity has a positive significant relationship with stock return, meanwhile firm size has a significant negative significant relationship with stock returns. Furthermore, return on equity can mediate the relationship between debt and equity ratios to stock returns.

scholarly journals Predicting Stock Return of UAE Listed Companies Using Financial Ratios

2019 ◽  
Vol 8 (2) ◽  
pp. 214
Author(s):  
Arindam Banerjee
Keyword(s):  
Stock Returns ◽  
Stock Return ◽  
Share Price ◽  
Financial Ratios ◽  
P Value ◽  
Dividend Yield ◽  
Value Analysis ◽  
Return On Equity ◽  
Equity Ratio ◽  
The Impact

Over the past few decades, numerous research across the globe has been conducted to examine the impact of firm performance on its stock return. The findings of these studies have been varied. In spite of the long standing research in this area, several attempt towards exploring this relationship has led to limited success owing largely to the existence of volatility across different stock markets. The variance in the volatility in these markets make it extremely difficult to obtain a uniform measure. A volatile stock market makes it difficult for the accounting and financial variables to accurately predict the stock returns (Feris & Erin, 2018).  The primary aim of this paper is aimed to investigate whether financial ratios can be used as a predictor of stock returns in the context of United Arab Emirates (UAE). The sample of the study includes thirty companies from the Dubai Financial Market (DFM) and Abu Dhabi stock exchange (ADX). Data is collected for the period of 2017. This research comprises of five independent variables namely, Earning Per Share ratio (EPS), Price Earning ratio (PE), Return on Equity ratio (ROE), Dividend Yield ratio (DY) and Debt Equity ratio (DE) and stock return is taken as the dependent variable. The study examines which among the given ratios can better predict stock returns both in the short run and the long run. The analysis is based on the regression analysis and correlation matrix. The results of correlation test revealed less multicollinearity between the variables and the regression results showed that Dividend Yield and the Return on Equity are statistically significant to predict the stock returns. However, Earning Per Share, Price Earning and Debt Equity could not predict the stock returns and thus can be safely considered as statistically insignificant. The t-stats test and p-value analysis were key indicators for arriving at the conclusion. The study can significantly benefit investors who can examine closely the dividend yield and return on equity while selecting an optimal portfolio. 

scholarly journals Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market

2018 ◽  
Vol 10 (10) ◽  
pp. 3361 ◽  
Author(s):  
Junru Zhang ◽  
Hadrian Djajadikerta ◽  
Zhaoyong Zhang
Keyword(s):  
Stock Returns ◽  
Portfolio Management ◽  
Stock Return ◽  
Return Volatility ◽  
Chinese Stock Market ◽  
Stock Return Volatility ◽  
News Release ◽  
Volatility Persistence ◽  
Google Search ◽  
The Impact

This paper examines the impact of firms’ sustainability engagement on their stock returns and volatility by employing the EGARCH and FIGARCH models using data from the major financial firms listed in the Chinese stock market. We find evidence of a positive association between sustainability engagement and stock returns, suggesting firms’ sustainability news release in favour of the market. Although volatility persistence can largely be explained by news flows, the results show that sustainability news release has the significant and largest drop in volatility persistence, followed by popularity in Google search engine and the general news. Sustainability news release is found to affect positively stock return volatility. We also find evidence that market expectation can be driven by the dominant social paradigm when sustainability is included. These findings have important implications for market efficiency and effective portfolio management decisions.

scholarly journals An Analysis of Stock Return Transmission in North and Latin America

2019 ◽  
Vol 10 (6) ◽  
pp. 14
Author(s):  
Chikashi Tsuji
Keyword(s):  
Latin America ◽  
Stock Returns ◽  
Latin American ◽  
Stock Markets ◽  
Stock Return ◽  
The Other ◽  
Var Model ◽  
Recent Period ◽  
The Us ◽  
Standard Vector

This study empirically examines the return transmission effects between the four North and Latin American stock markets in the US, Canada, Brazil, and Mexico. More specifically, applying a standard vector autoregression (VAR) model, we obtain the following interesting findings. First, (1) the return transmission effects between the four North and Latin American stock markets became much tighter in our second subsample period. Second, (2) in particular, US and Mexican stock markets are strong return transmitters in the recent period. Furthermore, (3) both in our first and second subsample periods, Brazilian stock returns do not transmit to the other three stock returns, although the other three North and Latin American stock markets affect the Brazilian stock market.

Comparative analyses of mean-variance and mean-semivariance approaches on global and local single factor market model for developed and emerging markets

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mehmet Emin Yildiz ◽  
Yaman Omer Erzurumlu ◽  
Bora Kurtulus
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Risk Measures ◽  
Emerging Market ◽  
Cost Of Equity ◽  
Content Type ◽  
The Cost ◽  
Global And Local ◽  
Insight Into ◽  
Better Than

PurposeThe beta coefficient used for the cost of equity calculation is at the heart of the valuation process. This study conducts comparative analyses of the classical capital asset pricing model (CAPM) and downside CAPM risk parameters to gain further insight into which risk parameter leads to better performing risk measures at explaining stock returns.Design/methodology/approachThe study conducts a comparative analysis of 16 risk measures at explaining the stock returns of 4531 companies of 20 developed and 25 emerging market index for 2000–2018. The analyses are conducted using both the global and local indices and both USD and local currency returns. Calculated risk measures are analyzed in a panel data setup using a univariate model. Results are investigated in country-specific and model-specific subsets.FindingsThe results show that (1) downside betas are better than CAPM betas at explaining the stock returns, (2) both risk measure groups perform better for emerging markets, (3) global downside beta model performs better than global beta model, implying the existence of the contagion effect, (4) high significance levels of total risk and unsystematic risk measures further support the shortfall of CAPM betas and (5) higher correlation of markets after negative shocks such as pandemics puts global CAPM based downside beta to a more reliable position.Research limitations/implicationsThe data are limited to the index securities as beta could be time varying.Practical implicationsResults overall provide insight into the cost of equity calculation and emerging market assets valuation.Originality/valueThe framework and methodology enable us to compare and contrast CAPM and downside-CAPM risk measures at the firm level, at the global/local level and in terms of the level of market development.

Can Earnings Innovations Explain The Inverse Relationship Between Unanticipated Inflation And Stock Returns?

2011 ◽  
Vol 9 (2) ◽  
pp. 10 ◽  
Author(s):  
Jon A. Hooks
Keyword(s):  
Stock Returns ◽  
Stock Return ◽  
Inverse Relationship ◽  
Explanatory Power ◽  
Earnings Forecast ◽  
Capitalization Rate ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship ◽  
Unanticipated Inflation

Hooks (1991) argues that the explanatory power of unanticipated inflation in stock return models appears to result from the relationship of unanticipated inflation with the earnings capitalization rate and not the impact inflation has on the level or growth rate of earnings. Here we extend this line of investigation by examining the relationship between unanticipated inflation and the earnings innovation extracted from a univariate earnings forecast. We show that unanticipated inflation has no significant relationship with innovations in conventional earnings. However, we find that unanticipated inflation has a significant positive relationship with the magnitude of the earnings innovation during the 1955-85 period when earnings are adjusted to account for the effects of inflation on firms assets and liabilities.

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