scholarly journals Stock Market Volatility and Weak-form Efficiency: Evidence from an Emerging Market

2006 ◽  
Vol 45 (4II) ◽  
pp. 1029-1040 ◽  
Author(s):  
Abid Hameed ◽  
Hammad Ashraf

There exists a vast literature on modeling and estimating aggregate stock market volatility over the past decade [e.g., Choudhry (1996); Mecagni and Sourial (1999) and Kabir, et al. (2000)]. Motivations for undertaking this exercise have been varied. Many value-at-risk models for measuring market risk require the estimation of volatility parameter. Portfolio diversifications and hedging strategies also require information on volatility as a key input. Volatility is defined as tendency of the assets price to fluctuate either up or down. Increased volatility is perceived as indicating a rise in financial risk which can adversely affect investor assets and wealth. It is observed that when stock market exhibit increased volatility there is a tendency on part of the investors to lose confidence in the market and they tend to exit the market. The nexus between volatility and economic fundamentals is still a moot point. Stock prices reflect information and quicker they are in absorbing accurately new information, more efficient is the stock market in allocating resources. The increase in volatility can be attributed to absorption of new information about economic fundamentals or some expectations about them. This kind of volatility is not harmful as there is no social cost associated with it. But if increased volatility is not explained by the level indicated by the fundamental economic factors, there is a tendency that stocks will be mispriced and this will lead to misallocation of resources [Karmaka (2006)].

2013 ◽  
Vol 58 (04) ◽  
pp. 1350025
Author(s):  
MANSOR H. IBRAHIM ◽  
SIONG HOOK LAW

The present paper analyzes the role of stock market, more specifically real stock prices and stock market uncertainty/volatility, on private consumption behavior for an emerging market, Malaysia, using quarterly data from 1991 to 2009. Employing the autoregressive distributed lag approach to cointegration test, the paper establishes a long-run equilibrium that ties private consumption to its determinants — real income, real stock prices, real lending rate, and stock market volatility. In the long run, the presence of the stock market wealth effect is documented. At the same time, the stock market volatility is also noted to depress private consumption particularly when the volatility is at the degree as observed during the Asian crisis. The authors further note the short-run influences of real stock price changes on consumption growth and the adjustment of private consumption to the long-run level when it is modeled in an error-correction setting. Our simple simulation indicates that the drop in the private consumption due to the decline in stock market wealth post-crisis is substantial, amounting to 2.7% of average post-crisis gross domestic product.


2020 ◽  
Vol 11 (2) ◽  
pp. 390
Author(s):  
Thanh Trung Le ◽  
Anh Tram Luong

For the first time, the market efficiency is examined in the different context of the stock market. By employing tests of weak-form efficiency, this study finds out that the overall, Vietnamese stock market does not follow a random walk regardless of the degree of stock market volatility. Therefore, technical analysis could be used by investors and financial managers to forecast price and gain profits on the market. Another finding is that although the Vietnamese market is not weak-form efficient, there is an improvement in recent years. The paper suggests that if investors and financial managers can employ past returns to predict stock prices and make decisions on the Vietnamese market, they should change their strategies in the future. This finding also contributes to studies on the Efficient Market Hypothesis in emerging countries and its performance in different economic contexts.


2013 ◽  
Vol 29 (6) ◽  
pp. 1727 ◽  
Author(s):  
Omar Farooq ◽  
Mohammed Bouaddi ◽  
Neveen Ahmed

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.


Author(s):  
Sherlinda Octa Yuniarsa ◽  
Jui-Chuan Della Chang

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


2020 ◽  
Vol 9 (3) ◽  
pp. 265-279
Author(s):  
Mary Elena Sánchez Gabarre

This paper studies the relationship between stock prices and three types of uncertainty: economic policy uncertainty, stock market volatility, and geopolitical risks. In particular, our aim is to determine whether these forms of uncertainty play the same role in developed and developing countries. With this purpose, we take Spain and Brazil as representative cases. In order to provide new insights into the abovementioned relationship, a cointegration approach is applied, specifically an ARDL model, using monthly data from the period January 2006-December 2019 for a series of financial and macroeconomic variables. The results obtained reveal that there is no uniform effect of uncertainty in stock markets of developing and developed countries. First, in Spain, there is a high perception of uncertainty in economic policy and stock market volatility, which impact negatively in share prices, both in the short and long term. Regarding Brazil, the global uncertainty in the stock markets has effects on share prices, in both time horizons. By contrast, geopolitical risks do not show any significant impact on Brazilian and Spanish share returns.


2019 ◽  
Vol 19 (2) ◽  
pp. 127-153 ◽  
Author(s):  
Michael Graham ◽  
Jussi Nikkinen ◽  
Jarkko Peltomäki

This article considers web-based global investors’ crash fears as a gauge of global investors’ fears, and examines its effect on stock market volatility in a sample of emerging stock markets. We show that an increase in global investors’ crash fears significantly affects the volatility of stock index returns in emerging markets. The results are robust to the inclusion of the conventional investor sentiment/fear gauge measure, VIX. Thus broadening the set of measures of global investors’ fears is important when explaining emerging market volatilities. JEL Classification: F30, G11, G15


Sign in / Sign up

Export Citation Format

Share Document