scholarly journals Do Stock Market Risk Factors Explain Mutual Fund Returns? Evidence from Saudi Arabia

2021 ◽  
pp. 1-7
Author(s):  
Bader Alsubaiei
Keyword(s):  
Risk Factors ◽  
Saudi Arabia ◽  
Stock Market ◽  
Mutual Fund ◽  
Factor Model ◽  
Emerging Market ◽  
Market Risk ◽  
Market Volatility ◽  
Fast Growing ◽  
Oil Market

This paper examines the risk factors of the Saudi Arabian equity market using an extensive data set. The study demonstrates which risk factors explain mutual fund returns in the largest mutual fund market in the Middle East, a fast-growing economy and a major player in the oil market. This paper also assesses the global and emerging market risk factors. This study analyzes 256 equity funds that operated in Saudi Arabia from January 2006 to July 2017. Time series regression models (e.g., the CAPM, the Fama and French three-factor model and the Carhart four-factor model) are used. In addition, modified versions of the asset pricing models were applied by adding stock market volatility and oil market volatility. The results indicate that the single-factor model, representing the market portfolio, captures most of the mutual funds’ excess returns. Size, value and momentum factors do not enhance the explanatory power of mutual fund returns significantly. The emerging market risk factors capture a small portion of the return variations where most effects were explained by the market risk factor. In explaining these results, we emphasize the important implications for investors, academics and regulators to better understand the risk factors that drive fund returns in a fast-growing emerging market.

Do Lower Foreign Flows and Higher Domestic Flows Reduce Indian Equity Market Volatility?

2021 ◽  
pp. 097226292199098
Author(s):  
Vaibhav Aggarwal ◽  
Adesh Doifode ◽  
Mrityunjay Kumar Tiwary
Keyword(s):  
Stock Market ◽  
Mutual Fund ◽  
Stock Markets ◽  
Large Scale ◽  
Structural Changes ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Equity Investments ◽  
Net Equity ◽  
Indian Stock Market

This study examines the relationship that both domestic and foreign institutional net equity flows have with the India stock markets. The motivation behind is the study to examine whether increased net equity investments from domestic institutional investors has reduced the influence of foreign equity flows on the Indian stock market volatility. Our results indicate that only during periods in which domestic equity inflows surpass foreign flows by a significant margin, as seen during 2015–2018, is the Indian stock market volatility not significantly influenced by foreign equity investments. However, during periods of re-emergence of strong foreign net inflows, the Indian market volatility is still being impacted significantly, as has been observed since 2019. Furthermore, we find that both large-scale net buying and net selling by domestic funds increased the stock market volatility as observed during 2015–2018 and COVID-impacted year 2020 respectively. The implications of this study are multi-fold. First, the regulators should discuss with industry bodies before enforcing major structural changes like reconstituting of mutual fund investment mandate in 2017 which forced domestic funds to quickly change portfolio allocation amongst large-cap, mid-cap and small-cap stocks resulting in higher stock market volatility. Second, adequate investor educational and awareness programmes need to be conducted regularly for retail investors to minimize herd behaviour of investing during market rise and heavy redemptions at times of fall. Third, the economic policies should be stable and forward-looking to ensure foreign investors remain attracted to the Indian stock markets at all times.

Day Of The Week And Its Effect On Stock Market Volatility: Evidence From An Emerging Market

2013 ◽  
Vol 29 (6) ◽  
pp. 1727 ◽  
Author(s):  
Omar Farooq ◽  
Mohammed Bouaddi ◽  
Neveen Ahmed
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Emerging Market ◽  
International Markets ◽  
Conditional Variance ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Foreign Investors ◽  
High Volatility ◽  
Day Of The Week

This paper investigates the day of the week effect in the volatility of the Saudi Stock Exchange during the period between January 7, 2007 and April 1, 2013. Using a conditional variance framework, we find that the day of the week effect is present in the volatility. Our results show that the lowest volatility occurs on Saturdays and Sundays. We argue that due to the closure of international markets on Saturdays and Sundays, there is not enough activity in the Saudi Stock Exchange. As a result, the volatility is the lowest on these days. Our results also show that the highest volatility occurs on Wednesdays. We argue Wednesday, being the last trading day of the week, corresponds with the start of four non-trading days (Thursday through Sunday) for foreign investors. Fearing that they will be stuck up with stocks in case some unfavorable information enters the market, foreign investors tend to exit the market on Wednesdays. As a result of excessive trading, there is high volatility on Wednesdays.

scholarly journals Testing Multi-Factor Models in ADRs: Emerging Market vs. Developed Market

2020 ◽  
Vol 5 (1) ◽  
pp. 12-21
Author(s):  
Tingting Que ◽  
Wai Yin Mok ◽  
Kit Yee Cheung
Keyword(s):  
Risk Factors ◽  
Risk Premium ◽  
Factor Model ◽  
Five Factor Model ◽  
Emerging Market ◽  
Abnormal Returns ◽  
International Market ◽  
Market Risk Premium ◽  
Developed Markets ◽  
Traditional Risk Factors

This paper tests whether the Carhart four-factor model and the Fama-French five-factor model can explain variation in returns of 1,230 ADRs originating from six developed markets and five emerging markets. We aim to compare emerging market ADRs with developed market ADRs in terms of traditional risk factors significance, model fitness and the existence of abnormal returns. Overall, we find that substantial variations exist among ADRs by their origin-of-market. First, both models show that most of the positive abnormal returns we document accrue to emerging market ADRs, mainly Chinese ADRs. Among the risk factors, market risk premium is found to be most prevalent in both emerging and developed markets. Although we find some difference in the presence of particular risk factors employed in the four-factor vs. five-factor model, overall, there are no significant differences in the explanation power between the two models. Lastly, the low R2 values imply that both models do not work very well with the international market ADRs. 

Exploring the Relationships among Interest Rate, Exchange Rate, and Stock Market in Indonesia

2016 ◽  
Vol 4 (3) ◽  
pp. 37-43
Author(s):  
Sherlinda Octa Yuniarsa ◽  
Jui-Chuan Della Chang
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Stock Price ◽  
Structural Breaks ◽  
Emerging Market ◽  
Exchange Rate Volatility ◽  
Market Volatility ◽  
Empirical Literature ◽  
Stock Market Volatility

Objective - The purpose of this research is to explore the relationships among interest rate, exchange rate, and stock price in Indonesia. Methodology/Technique - This study used data from the Central Bank of Indonesia to empirically test a proposed model of interest rate, exchange rate, and stock price. Findings - The findings confirmed that there are positive volatilities from exchange rate and negative volatility from interest rate. The relationships among interest rate, exchange rate, and stock market excessive volatility a little bit strengthen during economic crises, a study that allows for structural breaks, to account for the effects of sudden macroeconomic shocks, recessions, and financial crises, would be important to empirical literature on Indonesia. Novelty - This study proved that it is important to point out the variance decomposition results also showed that except for volatility in the exchange rate, interest rate, and stock market volatility also seems to explain quite a high proportion of the some variations of the macroeconomic excessive volatility. Type of Paper - Conceptual Keywords: interest rate volatility, exchange rate volatility, stock market volatility, emerging market, Asymmetric ARCH models

scholarly journals Tail Risk and the Cross-Section of Mutual Fund Expected Returns

2018 ◽  
Vol 54 (1) ◽  
pp. 425-447 ◽  
Author(s):  
Nikolaos Karagiannis ◽  
Konstantinos Tolikas
Keyword(s):  
Risk Factors ◽  
Cross Section ◽  
Risk Premium ◽  
Mutual Fund ◽  
Market Risk ◽  
Expected Returns ◽  
Adequate Explanation ◽  
Tail Risk ◽  
Management Fees ◽  
The Cross

We test for the presence of a tail risk premium in the cross-section of mutual fund returns and find that the top tail risk quintile of funds outperforms the bottom by 4.4% per annum. This premium is not simply a reward for market risk, nor do commonly used risk factors offer an adequate explanation. Our findings hold across double-sorted portfolios formed on tail risk and a number of fund characteristics. We also find that funds susceptible to tail risk tend to be small, young, have high management fees, and have managers who do not risk their own capital.

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