scholarly journals Volatility behavior of asset returns based on robust volatility ratio: Empirical analysis on global stock indices

2019 ◽  
Vol 7 (1) ◽  
pp. 1597430 ◽  
Author(s):  
Muneer Shaik ◽  
S. Maheswaran ◽  
David McMillan
2016 ◽  
Vol 54 ◽  
pp. 260-275 ◽  
Author(s):  
Yuan-Lin Hsu ◽  
Shih-Kuei Lin ◽  
Ming-Chin Hung ◽  
Tzu-Hui Huang

Author(s):  
Laila Memdani ◽  
Tasiu Tijjani Kademi ◽  
Abdul Rafay

Investment is a part and parcel of life. There are various avenues to invest and one of those is the stock market. But the decision of the investor depends on various factors and one of these factors is terrorism. The chapter focuses on the long and short-run association (LSA) and the influence of terrorism on major global stock indices and gold. The Paris attacks of 2015 are taken as a base, and the ARDL model is used to study the long and short-run impact on the selected stock indices. An attempt is also made to study the impact of terrorism on the stock returns using the Miller and Modigliani model. The study reveals a short-run impact of terrorism on the five selected global indices, but there is no long-run impact.


2019 ◽  
Vol 10 (1) ◽  
pp. 2-86 ◽  
Author(s):  
Anum Fatima ◽  
Abdul Rashid ◽  
Atiq-uz-Zafar Khan

PurposeSeveral studies focus on asymmetric impact of shocks on conventional stocks. However, only few studies explore Islamic stocks, but none has examined the asymmetric impact of shocks on Islamic stocks. This study aims to fill the gap by investigating the asymmetric impact of shocks on Islamic stocks. Specifically, it identifies the effect of good and bad news on Islamic stock market. The study also aims to examine the returns and volatility spillover effects across different Islamic markets.Design/methodology/approachTo carry out the empirical analysis, the authors have applied the exponential generalized autoregressive conditional heteroscedasticity (ARCH) model on daily Islamic stock indices of 18 countries. The study covers the period from July 2009 to July 2016. The authors have started their empirical analysis by examining the time series properties and testing the presence of ARCH effects. Further, the authors have applied several post-estimation tests to ensure the robustness of the results.FindingsThe results indicate that there is significant leverage effect in Islamic stocks traded in the sampled countries. That is, negative shocks or bad news have stronger effects on Islamic stock returns’ volatility as compared to positive shocks or good news. The authors also found that there are significant mean spillover effects for the examined countries. This finding implies that increased Islamic stock returns in country have significant and positive effects in Islamic stocks’ returns in another other. Similarly, the results regarding the volatility spillover effects suggest that there are significant volatility spillover effects across all examined countries. However, the authors found both positive and negative volatility spillover effects. It should also be noted that in some cases, the authors did not find any significant volatility spillover effect.Practical implicationsThe findings of this study have several important policy implications for both investors and policymakers. As the findings suggest that Islamic stock indices are integrated across countries both in terms of returns (mean) and risk (volatility), they are useful for investors to design well-diversified portfolios. The significant volatility spillovers suggest policymakers to design such policy that may help in reducing the adverse effects of increased volatility of Islamic stock of other/foreign countries on the Islamic stocks of the home countries. The significant evidence of the presence of leverage (asymmetric) effects suggest investors to use effective and active hedging instruments to hedge risk, particularly, in bad times.Originality/valueUnlike other studies on Islamic stocks, this study takes into account the asymmetric effects of positive and negative shocks. Further, the study examines the mean and variance spillover effects for a large panel of countries having Islamic stocks. Finally, several pre- and post-estimation tests are applied to ensure the robustness of the results.


1996 ◽  
Vol 51 (1) ◽  
pp. 345-361 ◽  
Author(s):  
K. C. CHAN ◽  
SILVERIO FORESI ◽  
LARRY H. P. LANG

2020 ◽  
Vol 31 (10) ◽  
pp. 2050145
Author(s):  
Abhin Kakkad ◽  
Harsh Vasoya ◽  
Arnab K. Ray

From the stock markets of six countries with high GDP, we study the stock indices, S&P 500 (NYSE, USA), SSE Composite (SSE, China), Nikkei (TSE, Japan), DAX (FSE, Germany), FTSE 100 (LSE, Britain) and NIFTY (NSE, India). The daily mean growth of the stock values is exponential. The daily price fluctuations about the mean growth are Gaussian, but with a nonzero asymptotic convergence. The growth of the monthly average of stock values is statistically self-similar to their daily growth. The monthly fluctuations of the price follow a Wiener process, with a decline of the volatility. The mean growth of the daily volume of trade is exponential. These observations are globally applicable and underline regularities across global stock markets.


Media Ekonomi ◽  
2014 ◽  
Vol 22 (2) ◽  
pp. 133
Author(s):  
Pardomuan Sihombing, ◽  
Rizal ,

<p>The objective of this research is to examine the effect of global stock indices and marco economic condition of Indonesia to Jakarta Stock Exchange Composite Index (JCI). The global stock indices that had been analyzed in this research are Dow Jones Industrial Average (DJIA), Nikkei 225 (N225), Shanghai Stock Exchange Composite (SSE), Financial Times Stock Exchange 100 (FTSE 100), and Hang Seng Index (HSI). The macro economic indicator that had been analyzed in this research are exchange rate United States dollar to Indonesian rupiah, inflation and BI rate. This research was conducted using secondary data. Research periods are 10 years for 120 months since January 2008 until December 2012. This study was analyzed by using error correction model (ECM). By using this method, it can be analyzed the short and long term influence from the independent variables to the dependent variable with its analysis techniques to correct long term imbalances. The result shows that in short term, only DJIA, exchange rate and BI rate have significant effect on JCI. While in long term, DJIA, N225, SSE, HSI, and BI rate have significant effect on JCI. Adjusted R-square value of 0.444987 can illustrate that the dependent variable is explained by the independent variables for 44.499 percent, while the rest are influenced by the other variables.</p><p> </p>


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