Do you want to publish a course? Click here

The Effect of Inflation on Stock Returns by Applying on Damascus Stock Exchange

أثر التضخم على عوائد الأسهم بالتطبيق على سوق دمشق المالية

2987   7   168   0 ( 0 )
 Publication date 2017
and research's language is العربية
 Created by Shamra Editor




Ask ChatGPT about the research

The stock market conditions are a mirror reflecting the general economic situation in the country ,and the stability of these markets measure of the general economic policy of the country of success ,and then be trying to understand the fluctuations in stock prices and their relationship to economic ,financial and monetary factors and financial crises. The research examines the effect of inflation on the returns of index in Damascus Stock Exchange (DSE),the monthly data for the rate of inflation for the Damascus market indices has been collected during the period (2010-2013). The researcher concluded that there is a weak positive relationship but insignificant for inflation rate on the return of market index in( DSE) during the study period.

References used
Vithessonthi , Chaiporn.2011, The Impact of Monetary Policy Decisions on Stock Returns: The Case of Thailand , Mahasarakham Business School, Mahasarakham University, Thailand
Tripathi ; Arnav.2014, Relationship between Inflation and Stock Returns – Evidence from BRICS markets using Panel Co integration Test. International Journal of Accounting and Financial Reporting ISSN 2162-3082
Boucher;Christophe.2004, Stock Prices, Inflation and Stock Returns Predictability . CEPN Université Paris-Nord
rate research

Read More

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 investigates the Monthly Effect (Semi-Month Effect and Turn of the Month Effect) in the stock markets of Egypt, Jordan, Iraq and Syria, over the period from January 2010 to December 2014. The daily returns for each index were analyzed by using T test or Mann-Whitney test. Moreover, the regression analysis was also applied.
This study aimed to examine the weak form efficiency of the Damascus Securities Exchange (DSE). The study used the monthly returns, adjusted for thin trading, of firms listed in the Damascus Securities Exchange from 2009 until 2014 and applied var ious tests to examine the random walk behavior in returns: the unit root test, the autocorrelation test, the runs test and the GARCH model. To take the impact of the Syrian crisis into account when judging the efficiency of the market, the study period was divided into three periods, the pre-crisis period, the crisis period and the whole period. The results revealed inability to reject the weak form efficient market hypothesis for more than half of the studied firms. Also it showed that the Syrian crisis, in general, has negatively affected the efficiency of most of the studied firms.
The aim of current research is to determine whether the earnings management by income smoothing approach has impact on stock returns for companies listed at Damascus Securities Exchange. The sample includes (14) listed companies for the period fro m the first quarter of 2011 until the fourth quarter of 2015. Eckel method is used to classify companies into two groups: smoother and nonsmoother companies.
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.
comments
Fetching comments Fetching comments
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا