• 제목/요약/키워드: econometric analysis

검색결과 154건 처리시간 0.029초

Bank Capital and Lending Behavior of Vietnamese Commercial Banks

  • DANG, Van Dan;LE, Thi Tuyet Hoa;LE, Dinh Hac;NGUYEN, Hoang Dieu Hien
    • The Journal of Asian Finance, Economics and Business
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    • 제8권2호
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    • pp.373-385
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    • 2021
  • The objective of the study is to empirically investigate the impact of bank capital on the lending behavior of Vietnamese commercial banks from 2007 to 2019. Lending behavior is captured by two dimensions, including the quantity (loan growth) and quality (credit risk) of loans. Instead of investigating loan growth and credit risk separately, we combine these two aspects in our study and further develop the interaction term between capital buffers and credit risk to capture the asymmetric impact. We apply the dynamic model (regressed by the generalized method of moments) and the static models (regressed using the fixed effects, random effects, and the pooled regression approach) to perform regressions. The results show that banks with higher capital ratios tend to expand lending more, while the risk of credit portfolios is controlled at lower levels at these banks. Further analysis reveals that credit risk mitigates some aspects of the relationship between bank capital and loan expansion. The patterns remain robust across alternative measures and econometric techniques. The study provides insightful policy implications for bank managers and regulators in the process of upgrading capital resources to ensure the safety and soundness of the banking industry in an emerging country.

Simultaneous Equations and Endogeneity in Corporate Finance: The Linkage between Institutional Ownership and Corporate Financial Performance

  • MALIK, Qaisar Ali;HUSSAIN, Shahzad;ULLAH, Naeem;WAHEED, Abdul;NAEEM, Muhammad;MANSOOR, Muhammad
    • The Journal of Asian Finance, Economics and Business
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    • 제8권3호
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    • pp.69-77
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    • 2021
  • The objective of this research is to explore the inconclusive theoretical and empirical association between institutional ownership and firm performance in the context of emerging Pakistani economy. The data set consists of all the non-financial firms listed on the Pakistan Stock Exchange (PSX). Annual data set covers the period ranging from 2010 to 2015. However, the econometric analysis does not include those firms with incomplete data. Thus the final data set comprised of an unbalanced panel of sample of 276 firms with 1231 firms years observations. Data related to the institutional ownership and other variables taken for the study were extracted through the annual financial reports of the firms. The research used Tobin's Q as a proxy of market measure of firm performance and tested the endogenous relation with institutional ownership through OLS and 2SLS approach. The study also applied Durbin-Wu-Hausman test to determine the endogeneity before analyzing the 2SLS model. The Durbin-Wu-Hausman Test (DWH) conform the endogenous link between institutional ownership and performance and vice versa. The results derived from 2SLS also confirm a highly significant relationship and two way direct proportional relationships between the institutional investment and corporate performance in the studied companies.

Estimating United States-Asia Clothing Trade: Multiple Regression vs. Artificial Neural Networks

  • CHAN, Eve M.H.;HO, Danny C.K.;TSANG, C.W.
    • The Journal of Asian Finance, Economics and Business
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    • 제8권7호
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    • pp.403-411
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    • 2021
  • This study discusses the influence of economic factors on the clothing exports from China and 15 South and Southeast Asian countries to the United States. A basic gravity trade model with three predictors, including the GDP value produced by exporting and importing countries and their geographical distance was established to explain the bilateral trade patterns. The conventional approach of multiple regression and the novel approach of Artificial Neural Networks (ANNs) were developed based on the value of clothing exports from 2012 to 2018 and applied to the trade pattern prediction of 2019. The results showed that ANNs can achieve a more accurate prediction in bilateral trade patterns than the commonly-used econometric analysis of the basic gravity trade model. Future studies can examine the predictive power of ANNs on an extended gravity model of trade that includes explanatory variables in social and environmental areas, such as policy, initiative, agreement, and infrastructure for trade facilitation, which are crucial for policymaking and managerial consideration. More research should be conducted for the examination of the balance between developing countries' economic growth and their social and environmental sustainability and for the application of more advanced machine-learning algorithms of global trade flow examination.

Transformation of Sectoral Innovation Pattern : Evidence from Korea

  • PARK, Kyoo-Ho
    • 동아시아경상학회지
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    • 제8권4호
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    • pp.67-77
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    • 2020
  • Purpose - This work tries to analyze the transformation of sectoral innovation pattern as time goes by to enhance the understanding on sectoral innovative activities, particularly considering the change of the nature of knowledge, and the trend of convergence. Research design, data, and methodology - This work tries to identify main factors, which determine the output of technological innovation through the econometric analysis, utilizing the result of Korean Innovation Survey and find a stylized fact on the change of the innovation pattern. Result - As a result of estimation, some major elements show different effects for two discrete years, 2002 and 2010; in chemical industry the open information source and neutral basic research become more important with the appropriation mechanism such as patents, and in machinery industry, the importance of internal information has been getting decreased with rising importance of customers. Conclusion - This work presents that some elements show different effects for two discrete years. Among three major elements, the source of information and appropriation mechanism shows different features for both industries. This means that we should explicit consider the changing nature of innovative environment, which leads to and heavily influence whether the innovative activity would be effective or not when we design innovation strategy and innovation policy.

Factors Affecting Firm Performance of Small and Medium Enterprises: Empirical Evidence from Hanoi, Vietnam

  • VO, Thi Van Khanh
    • The Journal of Asian Finance, Economics and Business
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    • 제9권6호
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    • pp.325-329
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    • 2022
  • Enterprises play an increasingly important role in economic development in each country. Effective businesses will make the economies of countries also become efficient and develop. Enterprises play a role in creating jobs, improving labor productivity, and connecting foreign trade and import-export activities. The study aims to evaluate the factors affecting the profitability of small and medium enterprises in Hanoi by using a study of 210 enterprises in the area as well as advanced econometric regression analysis. The research results show that firm size and human capital have no impact on business performance. However, older firms are likely to have higher firm performance, and conversely, younger firms have lower firm performance. The research also confirms that the growth of businesses often has higher firm performance than low-growth ones. Furthermore, a firm with greater value is also more likely to stimulate business performance than lower its value, and this effect is the largest among the analyzed factors. Finally, the study also has some recommendations for the Vietnamese government to develop small and medium enterprises. Specifically, the government needs to create an open mechanism for the start-up movement and create a favorable financial mechanism for small and medium-sized enterprises to be able to access.

The COVID-19 Pandemic and Instability of Stock Markets: An Empirical Analysis Using Panel Vector Error Correction Model

  • ABDULRAZZAQ, Yousef M.;ALI, Mohammad A.;ALMANSOURI, Hesham A.
    • The Journal of Asian Finance, Economics and Business
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    • 제9권4호
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    • pp.173-183
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    • 2022
  • The objective of this research is to examine the influence of the COVID-19 pandemic on stock markets in a few developing and developed countries. This study uses daily data from January 2020 to May 2021 and obtained from World Health Organization and Thomson Reuters. The secondary data was evaluated through panel econometric methodology that includes different unit root tests, and to analyze the long-run relationship between variables, panel cointegration techniques were applied. The long-run causality among variables was examined through Panel Vector Error Correction Model. The overall findings of this study suggest a long-run association exists between several cases and death with the stock returns of the GCC and other stock markets. Furthermore, the VECM model also identified a long-run causality running from COVID cases and death towards the stock rerun of both sets of stock markets. However, a subsequent Wald test yielded mixed results, indicating no short-run causality between cases and deaths and stock returns in both groups; however, in the case of GCC, several COVID-19 cases are having a causal impact on stock markets, which is notable in light of the fact that the death rate in GCC is significantly lower than in many developed and developing countries.

The Nexus between International Trade, FDI and Income Inequality

  • Wang, Meiling;Park, Noori;Choi, Chang Hwan
    • Journal of Korea Trade
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    • 제24권4호
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    • pp.18-33
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    • 2020
  • Purpose - This paper investigated the effect of international trade affects income inequality. It also compares the different effects between developing and developed countries over the period from 2005 to 2014 for 58 countries. Design/methodology - The econometric estimation was used to identify the relationship between export, import, FDI, GDP, unemployment and income inequality. In this empirical analysis, we utilized a Vector Error Correction (VEC) model using panel data. Findings - The findings show that there is a close correlated between trade and income inequality. The higher export ratio of GDP tends to have a 1.79 times more income inequality in developing countries than in developed countries. The higher import ratio of GDP tends to have a 2.44 times higher income inequality in developing countries than in developed countries. Further, Increasing FDI tend to have an approximately 1.43 times higher income inequality in developing countries than in developed countries. Korea is in the middle of developed and developing countries' result. Originality/value - To correct the global income inequality regarding trade, developed countries' proactive trade policies, such as granting preferential tariff benefits to developing countries, are likely to be needed and Income Safety Net in international trade must be taken into account.

The Role of FDI in Economic Development in Vietnam + 5 Nations: Empirical Evidence between 1986-2020

  • Long Ma, LE
    • The Journal of Asian Finance, Economics and Business
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    • 제10권2호
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    • pp.203-212
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    • 2023
  • This research work aims to investigate the role of FDI in Economic Development by assessing its relationship with GDP per capita in Vietnam +5 from 1986-2020. Through descriptive statistical, correlation matrix analysis, and econometric models, including Vector Error Correction Model (VECM) and Feasible Generalized Least Squares (FGLS) estimation methods using Stata 15.1. The VECM estimation method results show that FDI positively impacts Economic Development in the short run while not finding a long-run relationship. In addition, it is found that a clear relationship between Exports and Economic Development in both the short run and the long run. Meanwhile, CO2 emissions and Employment Opportunities have no clear relationship with Economic Development in the short run. However, the relationship is reversed in the long run, as the empirical study in Vietnam. The results of the FGLS estimation method show that FDI, CO2 emissions, and Exports have a significant and positive impact on Economic Development in five selected Southeast Asian countries without Employment Opportunities in the long run. From these findings, the author proposes some policy implications of attaching FDI to sustainable Economic Development in Vietnam next time.

Structural Breaks, Manufacturing Revolutions, and Economic Catch-up: Empirical Validation of Historical Evidence from South Korea

  • SALAHUDDIN, Taseer;YULEK, Murat A.
    • The Journal of Asian Finance, Economics and Business
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    • 제9권1호
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    • pp.13-24
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    • 2022
  • The main goal of this study is to look at how South Korea can catch up to the rest of the world through policy-driven structural change and manufacturing revolutions. To achieve the objective, this study used annual data on real exports and real GDP from the World Development Indicator WDI of South Korea for the period 1960 to 2019. The study's goal is to use econometrics to detect this policy-driven structural change trend. Multiple nonlinear Granger causality test was used to accomplish this. The findings revealed structural breaks and nonlinearities in the dynamic link between South Korea's real GDP and real exports. Furthermore, results also show evidence of multiple structural breaks in South Korean data. South Korea's economic catch-up was the result of a constant reevaluation of industrial policies, readjustment, and structural change to constantly explore and utilize comparative advantage, realizing economies of scale at the global level, and reallocating and redistribution of resources towards productive sectors with high value-added output, according to econometric analysis. If South Korea would have not done this structural change this miracle to escape the middle-income trap would not have been possible. These findings support the descriptive evidence of structural change in favor of manufacturing revolutions and value addition industry development in South Korea.

The Study on Retirement Age Adjustment Reflecting Possible Workability of Elderly Population

  • Jonghoon Park;Hyewon Shin
    • Asian Journal of Innovation and Policy
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    • 제12권3호
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    • pp.363-382
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    • 2023
  • This study aims to discern the determinants influencing the perception of workability among the elderly population and delineate an appropriate retirement age within the labor market context. Employing binary logistic regression, this research utilizes data from the Korea Welfare Panel Study (2008, 2012, 2016, and 2020) provided by the Korea Institute for Health and Social Welfare. The findings indicate that key factors shaping the elderly's perception of workability encompass familial responsibilities (household and marital status) and their levels of physical and mental well-being. Econometric analysis suggests an anticipated retirement age for the elderly population ranging between 67 and 69 years. In addressing labor market demands and informing policymakers, the study proposes deliberations on extending the retirement age for individuals aged 60 to 65. This range serves as a compromise between the identified retirement age of 67 to 69 and the current average retirement age for elderly labor market participants. Bridging the disparity between the perceived workability age and the prevailing labor market baseline is crucial for achieving social consensus. Therefore, any extension of the retirement age should carefully consider both the demand and supply perspectives within the labor market. The study's contribution lies in two main aspects: firstly, presenting a retirement age framework for the labor market that integrates the workability of the elderly population, and secondly, providing evidence-based research outcomes to guide informed labor policies.