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Price Limits and Volatility of stock returns in Damascus Stock Exchange

الحدود السعرية و تقلبات عوائد الأسهم في سوق دمشق للأوراق المالية

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 Publication date 2017
  fields Financial
and research's language is العربية
 Created by Shamra Editor




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This study sought to investigate the effect of price limits on the volatility of stock returns on the Damascus Stock Exchange. Where the study period divided into two periods the first test period 3/3/2009 and until 23/6/2011, the second test period 13/2/2011 until 30/3/2017. Using the model (1,1) GARCH.



References used
BOLLERSLEV, T 1986 Generalized Autoregressive Conditional Heteroscedasticity, Journal of Econometrics, Vol. 31. 307-327
CHONG,T. WANG,D and CHAN,W 2014 Price Limits and Stock Market Volatility in China, Terence, MPRA Paper, Vol.1. 1-30
ENGLE, R 2001 The Use of ARCH/GARCH Models in Applied Econometrics, Journal of Economic Perspectives, Vol. 15. 1-160
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This study aims at investigating the impact of the expansion of price limits on the volatility of Damascus Securities Exchange, by comparing the fluctuations of the market under three different price limits systems, since the opening of the market until the end of 2014. Results of the study showed that the price limits expanding in the Damascus Securities Exchange leads to an increase in the volatility of stock returns. Consequently, setting narrower price limits will reduce the volatility, and this confirms the effectiveness of the system of price limits in reducing the volatility of Damascus Securities Exchange.
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This paper aims to check whether the index (DWX) of Damascus Stock Exchange (DSE) is characterized by some of the stylized facts of most of the international and Arab stock markets, as: Volatility Clustering, Reversion to the Mean, and the Leverage E ffect. The GARCH and EGARCH models were applied using the returns series of DWX for a period from 31/12/2009 till 16/4/2013. The findings showed that DSE is characterized by: Volatility Clustering, meaning that large volatility today will be followed by large volatility tomorrow, Leverage Effect, meaning that volatility tends to rise more after a negative shock that a positive one, But the DWX is not characterized by the reversion to the mean process, due the explosive volatility of the index.
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This research aims to identify the possibility of using the information of accruals (Depreciation and Provision) basis in predicting stock market returns for companies listed at Damascus Security Exchange. The study is applied on (11) companies durin g the period from the first quarter of 2010 until the second quarter of 2014. The hypotheses are tested using approach of simple and multiple linear regression. The research conclude that the information of accruals basis can’t predict stock market returns for next period for companies listed at Damascus Security Exchange, unless the control variables are entered, Book to Market ratio, Beta & Earning to Price ratio.

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