In this tutorial, we will show where we are and where we will be to those researchers interested in this topic. We divide this tutorial into three parts, including coarse-grained financial opinion mining, fine-grained financial opinion mining, and po
ssible research directions. This tutorial starts by introducing the components in a financial opinion proposed in our research agenda and summarizes their related studies. We also highlight the task of mining customers' opinions toward financial services in the FinTech industry, and compare them with usual opinions. Several potential research questions will be addressed. We hope the audiences of this tutorial will gain an overview of financial opinion mining and figure out their research directions.
The application of predictive coding techniques to legal texts has the potential to greatly reduce the cost of legal review of documents, however, there is such a wide array of legal tasks and continuously evolving legislation that it is hard to cons
truct sufficient training data to cover all cases. In this paper, we investigate few-shot and zero-shot approaches that require substantially less training data and introduce a triplet architecture, which for promissory statements produces performance close to that of a supervised system. This method allows predictive coding methods to be rapidly developed for new regulations and markets.
This research aimed to discover the relationship between the degree of financial leverage resulting from the increase in the volume of deposits deposited by customers in the bank, and the degree of quick liquidity that the bank needs to meet its obli
gations related to the payment of interest on deposits or to meet requests for withdrawal from them or to meet borrowing requests by customers. The research relied on the descriptive analytical approach. The research community included all fourteen private banks listed on the Damascus Securities Exchange, where the necessary secondary data related to the studied banks were collected from the website of the Damascus Securities Exchange, and the research also relied on cross-sectional data analysis for the fourteen study community vocabularies during the period 2010-2018, depending on the random-effects model, which statistical tests conducted for this purpose proved to be the appropriate model among the basic models for analyzing cross-sectional time series data (fixed-effects model, random-effects model, and Pooled regression model). The research reached a set of results stating that there is an inverse and significant relationship between the ratio of financial leverage and the ratio of quick liquidity in the studied banks, which means that with the increased attractiveness of the studied banks to more deposits and the high degree of financial leverage in them, it did not work to increase the rates of quick liquidity enough to cover the liquidity risk that these banks may be exposed to, in order to achieve more profits and increase the level of profitability as one of the main objectives of the bank.
This study aimed to determine the reality of scientific research in Syria compared to Arab Countries, and some developed countries, by comparing the proportion of expenditure on research and development of local output, the number of researchers and
technicians working in research and development, the number of research articles published in international journals, the number of Syrian researchers registered in the Google Scholar search engine, the number of citations to their researches, the number of researches published in Tishreen University, in addition to the number of researches registered and completed for postgraduate students at Tishreen University during the period 2008-2018, the number of Syrian researchers registered in the Researchgate research site, as well as the number of applications for patents for accreditation in the Arab Countries, the value of exports of high technology and the proportion of those exports of transformative exports; and determine the components of scientific research to be available to create added value to the Syrian Universities.
The researcher adopted the survey methodology and distributed the questionnaire to 289 members of the teaching staff at Tishreen University.
The most important result of the study was that, the participation of the Syrian Universities in attracting talent, participation in local, Arab and international conferences, seminars and workshops, providing research labs, modern computers, participation in search engines, research sites, databases and financing of external publications are effective Foundations for creating added value.
Then, some recommendations were presented that would contribute to the creation of added value, the most important of which are: increasing the percentage of expenditure on scientific research, employing researchers, encouraging researchers to publish in international journals, establishing cooperation relations with local, Arab and international research organizations and developing them.
This research aims to shed light on the impact of the financial performance of companies listed in the Damascus and Amman Stock Exchanges on the dividend policy adopted by these companies during the period. (2010-2017) to achieve this objective, the
researcher used a hypothetical-deductive approach to formulate the hypotheses; and analyzed the financial statements of all companies listed in the Damascus and Amman Stock Exchanges. The results of the study showed that there is an impact on the proportion of the company's investment potential (EPS) and the activity ratios (FAT) affect the percentage of cash dividends distributed by the industrial companies listed in the Damascus and Amman Stock Exchanges. The profitability ratio (return on assets (ROA)), Earnings per share (EPS), Debt ratio (DR) and activity ratios (FAT) effect on the percentage of cash dividends distributed in the service companies listed in the Damascus and Amman Stock Exchanges. The profitability ratio (return on assets (ROA)), and the ratio that measures the company's investment potential (EPS) effect on the percentage of cash dividends (DPR) in the financial companies listed in Damascus and Amman Stock Exchanges.
The purpose of this research is to study the impact of the financing decision (FD) on
profitability in the textile industry companies in the Syrian coast during the period (2000-
2016), which are three companies not listed on the Damascus Stock Exc
hange. The
financing decision was measured in terms of ratio of total debt to total assets (TD),
Profitability was measured by return on assets (ROA), return on equity (ROE) and return
on capital (ROC). A series of annual financial statements of the three companies were used
during the period reviewed (Panel Data). In order to estimate the models of the study, the
unit root test was applied to test the stability of the studied variables. After confirming their
stability, the regression models were estimated using the normal lower squares method.
The study reached several results, the most important of which is that the debt has a
negative impact on profitability in different ratios used to measure both debt and
profitability.
Economic literature has shown the important and prominent role of financial
development in economic development and growth, through the effective pooling and
allocation of national savings towards investments in support of economic development.
He
nce, it is highly important to look for the real determinants of financial development.
This study investigates the determinants of the financial development of Syria, Lebanon
and Jordan for the period between 1995 and 2014, by applying the method of Ordinary
Least Squares (OLS), to a set of determinants adopted in previous studies. The study found
a statistically significant effect of only three of the nine determinants tested on the level of
private credit by depository institutions (financial sector activity). It also concludes a
statistically significant effect of only five determinants on the level of Liquid Liabilities
(financial sector size). The determinants are: inflation, bank concentration, rule of law,
control of corruption, contract enforcement and improving supervision of banks. Reforms
that contribute in reducing corruption, enforcing contracts, improving the rule of law,
improving supervision on banks, reducing the level of inflation and the level of bank
concentration, are the most important factors that we need to focus on in the long run, to
achieve financial development (size and activity).This in turn contributes to real economic
development in Syria, Lebanon and Jordan.
The aim of this study investigate the effect of financial leverage on
profitability, measured by the rate of return on assets and the rate of
return on equity, as well as the effect of the financial leverage on
liquidity measured by both the trading rate and the cash flow rate of
operating activities.
The aim of this research is to investigate the effect of preparing the
financial statements through International Accounting Standard /29/ on
the financial analysis through ratios, since the increase in the inflation
rate affects social and econom
ic aspects, the purchasing power of cash
had been decreased, so the financial statement of the listed companies
in the Syrian Stock Exchange didn't show the right position of these
companies because it didn't take into consideration the changes in
purchasing power even they are in compliance with International
Financial Reporting Standards (IFRS), so it wouldn't be possible to rely
on it for making decision, when use the financial analysis which is one of
the methods to help the financial statement user for their decision.
This study aims at testing the impact of financing structure (financial leverage) on the performance of listed companies in Damascus Security Exchange, according to accounting performance measures namely: Earning Per Share (EPS); Dividends Per Share
(DPS); Stock book Value (BV); Stock Market Value (MV); Return on Assets (ROA); and Return on Equity (ROE). By focusing on two time series: the first series before the current crisis (2007-2011); and the second series during the crisis (2012-2016). In order to analyze and test the hypothesis, the researcher used two models: the static model (Panel data analysis); and the dynamic model (Distributed lag model). The results show that the financing structure (debt ratio) has a positive and significant impact on the return on assets; and the return on equity, and this impact extends for several years later. Finally, no evidence has been provided by the study about the impact of the financing structure on earnings per share; dividends per share; book value per share; and market value per share, as measures of financial performance of the Syrian listed firms.
