• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.923-931
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• 2021

The aim of the present study is to analyze the financial performance of converted commercial bank from non-banking financial institution through a case study of Bangladesh Commerce Bank Limited as sample organization. It is observed that the bank is able to achieve a stable growth rate in total deposits, total loans and advances, and net income after tax during the period of 2015-2019. Researchers also calculated some ratio analysis and noticed that the financial position of Bangladesh Commerce Bank Limited was not so strong because bank's ROA, ROE, NIM and other ratios were below standard. Researchers used secondary data that were examined by using descriptive statistical tools and panel data regression model. Result shows that Bangladesh Commerce Bank has satisfactory operating efficiency, assets management efficiency, and gives loans to customers. In addition, the present study has tested some hypotheses regarding net income after tax, ROA and ROE with total assets, total loans, total deposits and interest income. These hypotheses have been accepted, which means there is no significant influence of the independent variable on the dependent variable. The study suggests that Bangladesh Commerce Bank Limited had the opportunities to make their financial position stronger by utilizing their good financial position and management efficiencies.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.73-81
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• 2022

The focus of the research is to determine the amount of financial information disclosure and the factors that influence it for non-financial enterprises listed on Vietnam's stock exchange. To evaluate the level of financial information disclosure, the study uses a set of disclosure indexes from the world's leading credit rating agency, Standard and Poor's (S&P). It makes some revisions in compliance with regulations for information disclosure on the Vietnam stock market. The study collects data in the form of annual reports for the year 2017-2020 from 350 non-financial firms listed on Vietnam's stock exchange and then uses a multivariate regression model to assess the effects of factors on the amount of financial information disclosure. The findings show that the size of the firm, the size of the board of directors, and foreign ownership all have a positive impact on financial transparency; however, the number of years the company has a negative impact. According to the findings of this study, companies with more total assets, a larger board of directors, and a higher rate of foreign ownership publish more financial information. Still, long-term listed companies on the stock exchange tend to disclose less.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.249-257
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• 2022

COVID-19 struck without warning, and by the first quarter of 2020, the world had plunged into a state of total closure as a means of containing the pandemic's devastating effect. Certainly, the pandemic shook many economies; some countries were able to cope, while third-world countries lost their invulnerability. Based on this, the current study looked at financial reports from Kuwaiti conventional and Islamic banks from 2019 to 2020 (before and after the pandemic) and compared the findings to see how much of an impact Kuwaiti conventional and Islamic banks had during the COVID-19 epidemic. Financial analysis of financial reports was used as a quantitative methodology, and variables were compared and analyzed, including (the liquidity ratio, profitability ratio, and financial leverage) within (14) Kuwaiti conventional and Islamic banks. The study found that the pandemic had a detrimental impact on both conventional and Islamic banks in Kuwait, as they were the first line of defense for the Kuwaiti economy during lockdowns and quarantines. Furthermore, there were significant implications on the Rate of Return on Investment, Debt, Financial Leverage, and Return on Equity.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.382-388
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• 2011

Being aware of the risk in advance necessitates intricate processes but is feasible. Although previous studies have demonstrated high accuracy, their performance still leaves room for improvement. A self-organizing feature map (SOM) based neurofuzzy model is developed in this study to provide another alternative for forecasting corporate financial distress. The model is designed to yield high prediction accuracy, as well as reference rules for evaluating corporate financial status. As a database, the study collects all financial reports from listed construction companies during the latest decade, resulting in over 1000 effective samples. The proportion of "failed" and "non-failed" companies is approximately 1:2. Each financial report is comprised of 25 ratios which are set as the input variable s. The proposed model integrates the concepts of pattern classification, fuzzy modeling and SOM-based optimization to predict corporate financial distress. The results exhibit a high accuracy rate at 85.1%. This model outperforms previous tools. A total of 97 rules are extracted from the proposed model which can be also used as reference for construction practitioners. Users may easily identify their corporate financial status by using these rules.

• The Korean Journal of Financial Studies
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• v.6 no.1
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• pp.335-356
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• 2000

This paper examines the time series dynamics of spot and forward exchange rates and Eurocurrency deposit rates for four bilateral relationships vis a vis the U.S. dollar using daily data. The equilibrium implied by covered interest parity provides a theoretical foundation from which to estimate and analyze the dynamic properties of each system of exchange rates and interest rates. The structural statistical model is identified by relying on the implied cointegration vectors and long-run neutrality restrictions.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.38-50
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• 2020

The purpose of this study is to identify the risks to financial institutions in terms of expanding potential risks due to the deferral of exposure, by identifying the structures in which real estate finance and financial institutions affect real estate prices at low interest rates. To this end, real estate financing is categorized according to the method of financing and the type of value measurement from a risk management perspective and analyzed for each case. As a result of analysis, in the case of profitable real estate, the rate of real estate is increased by directly decreasing the cap rate and directly affecting the fair value calculation method. In the case of non-profitable real estate, the real estate price is increased by expanding the leverage width of investors or financial institutions. Through the analysis of this case, the continuous increase in real estate prices over the past 10 years has the potential to prevent financial institutions from losing under the circumstances such as the growth of real estate finance due to the advancement of the financial market and the continued low interest rate trend that has continued for 10 years. It is judged that the deferred delay is part of the cause, which leads to an increase in the risk to financial institutions.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.919-926
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• 2020

The purpose of this study is to analyze and test the effect of financial ratios and macroeconomics on Islamic stock returns listed in Jakarta Islamic Index (JII) other than to assess whether investment risk can be an intervening variable in this study. The type of research is explanatory in nature with a quantitative descriptive approach. The data used is based on secondary sources with a sample group of 29 companies listed on JII for a 5-year period ending 31 December 2018. The data obtained were analyzed by using SEM (Structural Equation Model) with AMOS (Analysis Moment of Structural) 21 program. The results of the study show that only financial ratios affect sharia stock returns and investment risk, while the mediation test found that investment risk does not act as a mediating variable between financial ratios and macroeconomics and Islamic stock return. These findings indicate that the role of the company's financial health is very important. Besides affecting the rate of return obtained, the company's financial health can also reflect the level of risk that investors will accept in the future. By improving financial performance properly, a company will have a positive impact on various interested parties and minimize the level of investor losses.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.103-112
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• 2022

This study aims to obtain empirical evidence regarding the link between tax avoidance (TA) and the readability of financial statements. This is a quantitative research using Ordinary Least Squares regression analysis which is then processed using STATA 14.0. A total of 278 companies listed on the Indonesia Stock Exchange during the period 2017-2019 is the data of this study. In detecting TA in a company, this study uses the ETR and CashETR and for the measurement of financial statement readability, this study uses gunning fog index and length of the document. The findings of this study suggest that tax avoidance and clear financial statements are mutually exclusive in the sense that when tax avoidance is practiced, companies will tend to conceal the information conveyed by financial statements. In other words, it is concluded that the more a company engages in tax avoidance, the lower the readability of the company's financial statements. This study provides in-depth evidence that tax avoidance is indirectly related to the disclosure of information by the company. Users of financial statements will realize that the company seeks to make disclosures that are in their best interests to avoid their tax avoidance strategy being detected.

• KDI Journal of Economic Policy
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• v.12 no.3
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• pp.125-151
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• 1990

This paper reviews the economic liberalization experiences of the Southern Cone countries and draws some lessons from their experiences. The Southern Cone countries-Chile, Argentina and Uruguay-followed the different sequences in liberalization. Chile implemented the fiscal reform and the following comprehensive trade reform in the beginning of liberalization, but capital controls were maintained until 1979. Argentina and Uruguay placed more emphasis on the financial reform with the goods market reformed afterwards, but the fiscal sector was never reformed in Argentina. Since the serious inflation plagued the Southern Cone countries, they combined the economic liberalization scheme with the economic stabilization programmes which are based on the monetarist model. Although economic situations in the Southern Cone countries are quite different from those of Korea, we can learn many lessons from their experiences. First, the monetary and fiscal policies should consist of strict financial discipline to bring in the stable domestic inflation. Without the domestic stabilization, the financial liberalization could disturb the domestic economy as the capital inflows in particular generate a real exchange rate appreciation. Second, the monetary approach which is based on the full purchasing power parity and perfect capital mobility make stabilization as simple as a matter of the appropriate exchange rate policy and the proper rate of domestic credit creation. The unsuccessful experiences with monetarist stabilization in the Southern Cone countries suggest that the monetarist model cannot make real exchange rate and real interest rate stable with the trade and financial reform. Third, both the theory and practice have not yet provided a precise solution on the optimal sequencing and speed of the goods and financial market. Nonetheless, it seems desirable to keep the real exchange rate and the real interest rate stable by gradually opening up the current account and then the capital account.

• 한국데이터정보과학회:학술대회논문집
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• 2005.10a
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• pp.151-152
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• 2005

IGARCH and Stochastic Volatility Model(SVM, for short) have frequently provided useful approximations to the real aspects of financial time series. This article is concerned with modeling various Korean financial time series using both IGARCH and Stochastic Volatility Models. Daily data sets with sample period ranging from 2000 and 2004 including KOSPI, KOSDAQ and won-dollar exchange rate are comparatively analyzed using IGARCH and SVM.