• Management & Information Systems Review
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• v.36 no.3
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• pp.203-217
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• 2017

This study aims to verify the effects of unrealized gain or loss, that is the fair value evaluation item of insurance company's assets and liabilities, to capital markets focusing on fair value evaluation of insurance company's liabilities, which is the core of IFRS 17 that will be implemented in 2021. For this purpose we carried out regression analysis to verify the effects of changed other comprehensive income(OCI) and accumulated OCI, published in quarterly financial statements of listed insurance companies, on stock price utilizing Ohlson(1995)'s extended test model. The results of the empirical analysis are as follows. First, changed OCI showed a significant negative(-) effects on stock price. Second, accumulated OCI revealed a significant positive(+) effects on stock price. Furthermore, extended test model classifying changed OCI and accumulated OCI in a basic model represented the highest $R^2$ number and public announcement policy of OCI, a kind of unrealized gain or loss item, implied that it could give positive impact on accounting information. But still the direction that unrealized gain or loss affects on firm value must be carefully reviewed and considered in the future via more detailed study by the user of information. Therefore this study is meaningful in that it can predict usefulness of information on insurance company's fair value evaluation via empirical test accompanied by introduction of newly established IFRS 17 and it also can suggest direction of information production suitable for capital market.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.1
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• pp.229-249
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• 2022

This paper investigates machine learning models for predicting the designation of administrative issues in the KOSDAQ market through various techniques. When a company in the Korean stock market is designated as administrative issue, the market recognizes the event itself as negative information, causing losses to the company and investors. The purpose of this study is to evaluate alternative methods for developing a artificial intelligence service to examine a possibility to the designation of administrative issues early through the financial ratio of companies and to help investors manage portfolio risks. In this study, the independent variables used 21 financial ratios representing profitability, stability, activity, and growth. From 2011 to 2020, when K-IFRS was applied, financial data of companies in administrative issues and non-administrative issues stocks are sampled. Logistic regression analysis, decision tree, support vector machine, random forest, and LightGBM are used to predict the designation of administrative issues. According to the results of analysis, LightGBM with 82.73% classification accuracy is the best prediction model, and the prediction model with the lowest classification accuracy is a decision tree with 71.94% accuracy. As a result of checking the top three variables of the importance of variables in the decision tree-based learning model, the financial variables common in each model are ROE(Net profit) and Capital stock turnover ratio, which are relatively important variables in designating administrative issues. In general, it is confirmed that the learning model using the ensemble had higher predictive performance than the single learning model.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.3
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• pp.499-506
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• 2017

Consideration of influential factors through division of capital market sector and interest rate sector to find and resolve the problems in current housing market and leasing market will become an important index to prepare measures for stabilization of housing sales market and housing lease market. Furthermore, a guideline will be provide you with preliminary data using Big Data to prepare for sudden price fluctuation because expected economic crisis, stock market situation, and uncertain future financial crisis can be predicted which may help anticipate real estate price index such as housing sales price index and housing lease price index.

• The Journal of Asian Finance, Economics and Business
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• v.3 no.4
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• pp.57-66
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• 2016

Foreign Direct Investment (FDI) plays a vital role in economic growth of the countries. The present study analyses the impact of the FDI on economic growth of South Asian Association of Regional Cooperation countries by using the pooled data for the period 1990-2014. Neo-classical production function has been used for analysis and getting stock-to-flow estimation, Taylor series approximation has applied. Fixed Effects Model has been used to investigate the impact of FDI, domestic capital, labour and government expenditures on economic growth. It is the evident from the results that both domestic investment and FDI have been a positive effect on economic growth. The study finds that the contribution of domestic private investment is more trustworthy than the contribution of FDI. Consequently, FDI loses its attraction as an engine of growth if the adverse balance of payment consequence of the resulting profit repatriating is also taken into account. The labour has positive and significant association with GDP. The effect of government expenditure is negligible on economic growth. The findings suggest that growth strategy cannot yield the long term benefits if it neglects investments on human capital.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.3
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• pp.43-54
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• 2006

The National Wealth Survey Method has been used to estimate capital stocks in Korea by the Korea National Statistical Office in every 10 years. However, this method requires huge amount of time and money, Since the Benchmark Year Method also has similar problems of difficulties to estimate the annual retirement rate and depreciation, the Korea National Statistical Office is now considered to adapt the Perpetual Inventory Method being used by the most OECD countries as an alternative. Hence, in this paper, the concepts of the Perpetual Inventory Method are introduced and its formation plans for the National Wealth Survey are suggested.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.67-73
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• 2020

The paper examines the influence of internal factors and external factors on liquidity of Vietnamese listed enterprises. The study uses robust regression techniques in the fixed effects linear panel data using data collected from companies listing on the stock market in Vietnam during 2008-2019, with a total of 6,700 observations. Liquidity of Vietnamese listed enterprises is measured by current assets to current liabilities, whereas firm size, capital adequacy, profitability, leverage are used as internal determinants. Further, economic activity, inflation rate, exchange rate, and interest rate are the external factors which are considered. The research results indicate that capital adequacy, return on equity, leverage, economic activity have a positive effect on firm's liquidity, whereas return on assets and exchange rate have a negative effect on firm's liquidity and firm size, inflation rate and lending rate have no correlation with firm's liquidity. Based on the research results, the author suggests that the firms should have optimum current ratio by balancing the current assets and current liabilities in order to avoid a situation of high liquidity or low liquidity. This research seeks to bridge a gap which is present in the body of literature on listed enterprise's liquidity in Vietnam. The findings may be useful for financial managers, investors, and financial management consultants.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.827-834
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• 2020

The use of different proxies to measure good corporate governance (GCG) may be a probable cause of the mixed results. Therefore, the application of a new single measure to enhance comparable empirical studies is required. The purpose of this study is to examine the relationship between corporate governance and firm's performance. This study involved all manufacturing companies listed on the Indonesia Stock Exchange (IDX) from 2014 to 2016 through purposive sampling with specific criteria. out of 144 qualified companies, 110 companies could be processed because of completed data in the form of financial information from their financial statements during the research period. The data were obtained from the official websites of IDX. This study applies a new measure of the corporate governance: the efficiency of the GCG. The corporate governance is calculated by relating inputs of components of the corporate governance and outputs of sales, assets and firm equity capital. By using financial data from firms listed on the Indonesian Capital Market, this study finds that the corporate governance significantly improved firm's performance. More importantly, the study confirms and supports the new single measure of the GCG. This result is very important to avoid dealing with different indicators of the corporate governance.

• International Journal of Contents
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• v.9 no.2
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• pp.27-37
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• 2013

From the perspective of the domestic capital markets, there have been few researches on the financial characteristics of the firms belonging to the KOSDAQ(Korea Securities Dealers Automated Quotation) market, in comparison with those of the firms in the KOSPI. This study has performed three hypothesis tests to obtain the following results: By employing the 'panel data' analysis, it was found that, for the book-value based leverage, all of the six proposed IDVs were statistically significant as the financial determinants of leverage, across the two proxies measuring profitability (i.e., PFT and ROE), while all of the IDVs except VOLATILITY, also seemed to be the attributes to explain the market based dependent variable in the model with the PFT. Moreover, there may be statistically significant (structural) changes (or quasi-experiment) ) between the pre- and post-U.S. financial crisis in the year of 2008, when measured the leverage with the market-value basis with utilizing the Chow F-test. Finally, based upon the logistic regression results, the probability for a firm to be classified into the Prime section in the KOSDAQ market, may be higher, as its profit margin and asset turnover increase.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.551-559
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• 2021

The maturity structure of corporate debt is one of the significant financing choices that a firm must make simultaneously while deciding how to finance its operational and investment decisions. Even though the capital structure is one of the scrutinized topics of interest in the corporate finance literature, scarce studies have investigated corporate debt maturity, even less so in the context of emerging markets. The choice of a suitable debt maturity structure is exceptionally relevant for firms. It can enable them to avoid mismatch by aligning assets in line with liabilities, addressing agency-related problems, sidestep the ill effects of cost of capital, and signaling the firms' earning quality and value. The study investigates the firm-specific and macroeconomic determinants significant for the debt maturity structure of Vietnamese corporate firms. A sample of 722 non-financial firms listed on the Ho Chi Minh and Hanoi Stock Exchange in Vietnam from 2007 to 2018 was taken to test the hypothesis. The study's methods fixed effects panel data analysis provides empirical evidence that firm size, firms' quality, liquidity, leverage, asset maturity, tax impact, and macro variables are significantly related to the debt maturity structure.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.727-734
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• 2021

The study aims to examine and analyze the factors that affect the return on assets (ROA) by placing net interest margin (NIM) as a moderating variable in influencing ROA. This research was conducted on 27 banks listed on the Indonesia Stock Exchange (IDX) for the period 2015 to 2018 with a total sample data of 91. The data used is a combination of time series data and cross-section data. The sampling technique used was the purposive sampling method. The data analysis technique used was path analysis with multiple regression analysis technique. The results of the analysis showed that the capital adequacy ratio (CAR) and loan to deposit ratio (LDR) have a positive but insignificant effect on ROA. NIM as a moderating variable does not influence the impact of CAR on ROA. However, NIM as a moderating variable is able to influence the impact of LDR on ROA. From the results of this study, it is evident that the LDR will increase the ROA at banks that generate high NIM.