The study shows the factors affecting rain precipitation, general
rate and annual, monthly and daily changes by calculating the
standard deviation and the annual fluctuation. The standard
deviation from the general average shows large values in th
e
stations located in the north of the study area. Stations in the
center and south, because of the nature of the dry climate, as well
as that the increase in the number of rainy days does not
necessarily mean an increase in the amount of precipitation, and a
difference in the amount of rainfall from one station to another
because of the difference in climatic factors affecting them .
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.
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.
This study sought to find out whether there is any significant relationship between
the in trading volume shares of Syrian companies listed in the Damascus market Securities
Exchange, and Volatility of stock returns monthly in that market, during t
he period 1-1-
2010 till 31-8-2014, and to discover what kind of that relationship (positive or negative
correlation) in order to give appropriate weight to them for interpreting fluctuations in the
volume of trading in the stock Damascus market Securities Exchange, or for predicting.
When using the method of Nonlinear regression analysis method GARCH(1,1) to process
the data related to Return on the stock in DSE we found that the relationship between the
trading volume shares and volatility of stock returns wasn't statistically significant. This
volatility in stock returns mustn't be taken into account as an important factor when trying
to explain the reasons for fluctuations in trading volume market or when predicting.
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.
