Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets

2009 ◽  
Vol 10 (2) ◽  
pp. 122-139 ◽  
Author(s):  
Adnan Kasman ◽  
Saadet Kasman ◽  
Erdost Torun
Author(s):  
Salim Ben Sassi ◽  
Azza Bejaoui

This chapter investigates the influence of the long memory behavior in returns and volatility on the market risk for four emerging stock markets during the pre- and post-crisis periods. In this respect, the authors consider four major political events (Tunisian revolution, Egyptian revolution, assassination of Prime Minister Rafik El Hariri, and a series of suicide bombings in Morocco). Using the modified R/S test and GPH test, they show the long memory property in returns and volatility over the two sub-periods. To explore the dual long memory property, the authors apply the joint ARFIMA–FIGARCH specification on the returns and volatility of the four emerging stock markets. The dual long memory property is prevalent in the returns and volatility of the emerging stock markets over the pre-crisis period. During the post-crisis period, the dual long memory process is only detected in the Moroccan market. The authors also display the dynamic behavior of VaR during the two sub-periods. In addition, based on the backtesting test, VaR performed better during the two sub-periods for all countries.


2000 ◽  
Vol 03 (03) ◽  
pp. 309-330 ◽  
Author(s):  
Huimin Chung ◽  
William T. Lin ◽  
Soushan Wu

One of the important questions in studies of asset return and volatility has been how long the effects of shocks persist. In this article, the modified R/S statistic of Lo (1991) and the robust semiparametric method of Lobato and Robinson (1997) are applied to investigate the long memory properties in return and volatility of Asian financial markets. For the return series, we find little evidence of long memory, while the empirical results support the hypothesis of long memory in volatility for Asia-Pacific stock markets. We also discuss the possible causes of spurious long memory effect in volatility, namely aggregation, size distortion, and shifts in variance. Our empirical evidence shows that spurious long memory effect in volatility might occur as a result of shifts in variance for some Asian stock markets.


2010 ◽  
Vol 389 (7) ◽  
pp. 1425-1433 ◽  
Author(s):  
Sang Hoon Kang ◽  
Chongcheul Cheong ◽  
Seong-Min Yoon

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhengxun Tan ◽  
Yao Fu ◽  
Hong Cheng ◽  
Juan Liu

PurposeThis study aims to examine the long memory as well as the effect of structural breaks in the US and the Chinese stock markets. More importantly, it further explores possible causes of the differences in long memory between these two stock markets.Design/methodology/approachThe authors employ various methods to estimate the memory parameters, including the modified R/S, averaged periodogram, Lagrange multiplier, local Whittle and exact local Whittle estimations.FindingsChina's two stock markets exhibit long memory, whereas the two US markets do not. Furthermore, long memory is robust in Chinese markets even when we test break-adjusted data. The Chinese stock market does not meet the efficient market hypothesis (EMHs), including the efficiency of information disclosure, regulations and supervision, investors' behavior, and trading mechanisms. Therefore, its stock prices' sluggish response to information leads to momentum effects and long memory.Originality/valueThe authors elaborately illustrate how long memory develops by analyzing not only stock market indices but also typical individual stocks in both the emerging China and the developed US, which diversifies the EMH with wider international stylized facts and findings when compared with previous literature. A couple of tests conducted to analyze structural break effects and spurious long memory demonstrate the reliability of the results. The authors’ findings have significant implications for investors and policymakers worldwide.


2020 ◽  
Vol 52 ◽  
pp. 101126 ◽  
Author(s):  
Guglielmo Maria Caporale ◽  
Luis A. Gil-Alana ◽  
Carlos Poza

2017 ◽  
Vol 34 ◽  
pp. 61-73 ◽  
Author(s):  
Geoffrey Ngene ◽  
Kenneth A. Tah ◽  
Ali F. Darrat

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