The objective of the present study is to determine the determinants
of Syrian foreign trade according to the gravity model from a
geographical point of view. The model estimates the effects of
external market sizes, geographical distances between
countries,
GDP, the impact of cultural differences or their similarity, Syria's
relative institutions in foreign trade, and on the basis of the results
chart the future plan and the appropriate proposals to increase the
potential places of Syrian exports.
This study aimed to analyze the Internal determinants of Commercial bank
profitability listed in Damascus Security exchange during the current
crisis in Syria, To achieve that, the researcher collected data on all the
listed commercial banks ,whic
h their number of eleven banks and for the
period 2011 – 2015. Where the expression of profitability, which
represents the dependent variable in the study by rate of return on assets.
While the determinants profitability included , which represents
independent variables , all of the ( Bank age , Bank size, capital ratio,
direct credit facilities index, credit quality, management efficiency ,Non
interest income , cost efficiency, Evaluation Differences in Exchange
unearned , rate of Deposits at Banks and rate of Investment in securities ).
The aim of this study is to explore the determinants of the capital structure in Joint
Stock Companies that subject to the supervision of Syrian Commission on Financial
Markets and Securities, focusing on the period (2007-2011). The research try to
explore
whether the decision of the firms concerning the financial leverage is in conformity with
the patterns proclaimed in previous studies. The study summarized the relation between the
accountancy indicators and financial structure of the Joint Stock Companies in Syria by
using multi-regression analysis. The study included the following independent variables:
size; age; profitability; volatility; liquidity; growth prospects; tangibility; ownership
structure; and taxes. On the other hand, the leverage ratio represented the variable related
to the company’s financial structure. The study concluded that the leverage ratio in the
Syrian companies is about (48%). In addition, the study concluded a statistically significant
positive relationship (at 5% significance level) between the financial structure of Syrian
companies and all of the company's size; profitability; and ownership structure. The study
also found that there is a significant negative relationship (at 5% significance level)
between the financial structure of Syrian companies and all of the company's volatility;
liquidity; and tangibility. Finally, no evidence has been provided by the study about the
relationship between financial structure and all of the company's life; the expected growth;
and the company's tax.
The aim of this study is to explore the determinants of the capital structure in Joint Stock Companies that subject to the supervision of Syrian Commission on Financial Markets and Securities, focusing on the period (2007-2011). The research try to e
xplore whether the decision of the firms concerning the financial leverage is in conformity with the patterns proclaimed in previous studies. The study summarized the relation between the accountancy indicators and financial structure of the Joint Stock Companies in Syria by using multi-regression analysis. The study included the following independent variables: size; age; profitability; volatility; liquidity; growth prospects; tangibility; ownership structure; and taxes. On the other hand, the leverage ratio represented the variable related to the company’s financial structure. The study concluded that the leverage ratio in the Syrian companies is about (48%). In addition, the study concluded a statistically significant positive relationship (at 5% significance level) between the financial structure of Syrian companies and all of the company's size; profitability; and ownership structure. The study also found that there is a significant negative relationship (at 5% significance level) between the financial structure of Syrian companies and all of the company's volatility; liquidity; and tangibility. Finally, no evidence has been provided by the study about the relationship between financial structure and all of the company's life; the expected growth; and the company's tax.
This study aims to recognize the determinants of capital adequacy in
Syrian private banks listed in Damascus stock exchange. Through
review of main theoretical and empirical research, six factors were
chosen such as: credit risk, interest rate ris
k, liquidity risk, leverage
risk, bank size and profitability. Analysis of data which was
extracted from financial semi- annual reports of these banks was
performed using multiple linear regression. The results showed
inverse correlation between credit risk, interest rate risk and capital
adequacy ratio. This study also confirms positive relationship
between leverage risk and capital adequacy ratio. On the other hand,
the size of the bank and its profitability does not seem to have
essential role in determining capital adequacy ratio in Syrian private
banks.
This study aims to identify the relation and the impact of capital adequacy
determinants on the capital adequacy and banking hedging in the Syrian Arab republic. To
achieve this, data were collected from two sources, which included bank's financial
statement and disclosers (which represent the study sample), and Damascus Stock
Exchange reports related to the period from 2007 to 2011.
This paper aimed to identify the determinants of bank net interest rate margins
within the context of the Syrian banking industry. To achieve the objectives of the
study the data has been collected from those commercial banks listed on the
Damascu
s exchange stock (DES) during 2006-2010. The sample used in this study
consists of a panel data set for sixe commercial banks. The empirical specification
focuses on the reported net interest rate margin that is assumed to be a function of
operation cost, owner's equity, loans-to-asset proxy, size factor, market share,
growth rate, inflation factor, exchange rate. For testing purposes, panel data analysis
is used by employing three alternative models to estimate the parameters of the
model, the Pooled simple regression, the Fixed Effect Model and the Random Effect
Model.