• Asian Journal of Business Environment
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• 제7권4호
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• pp.5-9
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• 2017

Purpose - Many countries rely on currency depreciation or debt-financed government spending to stimulate their economies. Currency depreciation tends to increase net exports and aggregate demand but reduce short-run aggregate supply due to higher import costs. Debt-financed government spending increases aggregate demand, but the crowding-out effect due to a higher real interest rate may reduce private spending and aggregate demand. Therefore, the net impact of currency depreciation or debt-financed government spending on equilibrium real GDP is unclear. Research design, data, and methodology - This paper examines potential impacts of real depreciation of the ringgit, more government debt as a percent of GDP and other relevant macroeconomic variables on aggregate output in Malaysia. Results - Applying the AD/AS model, this paper finds that aggregate output in Malaysia is positively associated with real appreciation during 2005.Q3-2010.Q3, real depreciation during 2010.Q4-2016.Q1, the debt-to-GDP ratio and the real stock price, negatively affected by the real lending rate and inflation expectations, and is not influenced by the real oil price. Conclusions - Real depreciation of the ringgit after 2010. Q3 or sustainable expansionary fiscal policy would be beneficial to the economy.

• Communications for Statistical Applications and Methods
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• 제24권6호
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• pp.605-625
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• 2017

This paper presents proportional odds cure models to allow spatial correlations by including spatial frailty in the interval censored data setting. Parametric cure rate models with independent and dependent spatial frailties are proposed and compared. Our approach enables different underlying activation mechanisms that lead to the event of interest; in addition, the number of competing causes which may be responsible for the occurrence of the event of interest follows a Geometric distribution. Markov chain Monte Carlo method is used in a Bayesian framework for inferential purposes. For model comparison some Bayesian criteria were used. An influence diagnostic analysis was conducted to detect possible influential or extreme observations that may cause distortions on the results of the analysis. Finally, the proposed models are applied for the analysis of a real data set on smoking cessation. The results of the application show that the parametric cure model with frailties under the first activation scheme has better findings.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.205-212
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• 2020

This study seeks to examine the main factors, external and internal to the bank, that enhance bank lending. Bank lending is one of the connecting bridges in sustaining society. Internal factors consist of ROA, DPK, and CAR. External factors are economic growth and interest rate of Bank Indonesia. The population of this research consists of traditional commercial banks listed on the IDX over the 2014-2017 period. Samples were chosen by purposive sampling method. This study uses secondary data with 56 samples; data analysis uses multiple linear regression. The findings of the study show that internal factors have a greater impact on increasing bank lending than external factors. The main variable among internal factors that influences increase in bank lending is ROA. DPK is the internal factor with the smallest impact on increasing bank lending. The implication of the study is that determining the bank lending should take more account of CAR, DPK, ROA, BI interest rates, and economic growth in making decisions about the amount of lending. These variables can only have a slight effect on increasing lending, though. Besides, internal factors such as NPL, LDR or non-economic factors also need to be considered in channeling bank credit.

• 한국환경성돌연변이발암원학회지
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• 제20권1호
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• pp.21-25
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• 2000

Recently there is increasing interest in the use of structure activity relationships for predicting the biological activity of chemicals. The reasons for the interest include the decrease cost and time per chemical as compared with animal or cell system for identifying toxicological effects of chemicals and the reduction in the use of animals for toxicological testing. This study is to test the validity of the mutagenicity data generated from QSAR (Quantitative Structure Activity Relationship) program. Thirty chemicals, which had been evaluated by Ames test during 1997-1999, were assessed with TOPKAT QSAR mutagenicity prediction module. Among 30chemicals experimented, 28 were negative and 2 were positive for Ames test. On the contrary, 23 chemicals showed the high confidence level indicating high prediction rate in mutagenicity evaluation, and 7 chemicals showed the lsow to moderate confidence level indicating low prediction in mutagenicity evaluation. Overall mutagenicity prediction rate was 77% (23/30). The prediction rates for non-mutagenic chemicals were 79% (22/28) and mutagenic chemicals were 50% (1/2). QSAR could be a useful tool in providing toxicological data for newly introduced chemicals or in furnishing data for MSDS or in determining the dose in toxicity testing for chemicals with no known toxicological data.

• 동아시아경상학회지
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• 제8권1호
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• pp.57-69
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• 2020

Purpose - This study examines what are the asset market fluctuations in Europe and how each economic variable affects major variables, and explore the dynamics of housing and stock market through Greece. The variables under consideration are balance on current account (BCA), index of stock (STOCK), gross domestic product (GDP), housing price indices (HOUSING), M3, real rate of interest (IR_REAL) and household credits (LOAN). We investigate the functional and causal relationships between housing and stock market. Research design, data, and methodology - Vector error correction model (VECM) is used to figure out the dynamic relationships among variables. This study also contains the augmented Dickey-Fuller unit root, cointegration, Granger causality test, and impulse response function and variance decomposition analysis by EViews 11.0. Results - The statistical tests show that all variables under consideration have one unit root and there is a longterm equilibrium relationship among variables for Greece. GDP, IR_REAL, M3, STOCK and LOAN can be considered as causal factors to affect real estate market, while GDP, LOAN, M3, BCA and HOUSING can bring direct effects to stock market in Greece. Conclusions - It can be judged that the policy that affects the lending policy of financial institutions may be more effective than the indirect variable such as monetary interest rate.

• 유통과학연구
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• 제14권4호
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• pp.33-38
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• 2016

Purpose - This study purposes to analyze the impact of regional economic integration and macroeconomic on Indonesian FDI inflows. Research design, data, and methodology - Data were collected from bilateral relation between Indonesia and 21 home countries whose dominant share FDI to Indonesia from 2005 to 2013. Analysis method was conducted by panel gravity modeI to find the impact of regional economic integration and macroeconomic on Indonesian FDI inflows. Results - The empirical results show that GDP of the home country and Indonesia have a positive impact on Indonesia FDI. Distance and home country real interest rate have a negative impact on Indonesia FDI. Economic integration of European Union (EU) and Indonesia's cooperation with Japan in ASEAN-Japan Comprehensive Economic Partnership (AJCEP) have created impact of investment creation on Indonesia FDI, unfortunately, economic integration of ASEAN has created impact of investment diversion on Indonesian FDI. Conclusions - In order to increase FDI inflow to Indonesia, Indonesia government should improve the physical and social infrastructures to drive the productivity and economic efficiency. It will increase the GDP and also attract more investors. Low interest rate policy should be considered.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.617-626
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• 2021

The study examines the existence of twin deficit in two emerging economies (Turkey and Iran) and also investigates the relation of twin deficit with specific macroeconomic indicators such as the GDP, money supply, foreign direct investment, and the interest rate both in short and long-run periods. The twin-deficit concept refers to a situation where the current account deficit and budget deficits exist in the same corresponding period of an economy. This study employs the Bound Test Autoregressive lag distributed (ARDL) model on time-series quarterly secondary data of Turkey and Iran from 1992 to 2019. The stationarity of variables has been ensured through the Augmented Dickey-Fuller (ADF) test at the level and the first difference. The results reveal the existence of a twin deficit in both the short and long-run periods only in Iran. Its existence could not be observed in the Turkish economy. The findings suggest a positive relationship between twin deficit and GDP, and a negative relationship between twin deficit and FDI and M2. At the same time, the relationship of the twin deficit with interest rate could not be found in the Iranian economy. The findings may be helpful for economic managers of both countries in executing their economic policies.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.639-648
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• 2021

The study aims to examine the role of financial risk management in predicting the financial performance of commercial banks in Pakistan over the period of 2006-2017. For this purpose, risk management is measured through credit risk, interest rate risk, and liquidity risk, while financial performance is measured through ROA, ROE, and ROI. For this purpose, the dynamic panel model and two step GMM panel estimators are used to test the hypothesis empirically. The annual secondary data has been taken from the published financial reports of commercial banks of Pakistan. The results show that financial risk management significantly decreases the financial performance of commercial banks in Pakistan. Overall, the results are conclusive across the alternative measures of financial risk management in predicting the financial performance of the banking sector in Pakistan. The study suggested that managers should adopt risk management and risk hedging strategies to manage commercial banks' financial risks in Pakistan. They should hold extra cash while using the trade credit facilities. Previous studies mostly used a static model, but this study used a dynamic panel model. This study is among the first that focused on the various factors affecting the banks' performance in Pakistan.

• 국제지역연구
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• 제20권1호
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• pp.167-181
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• 2016

한국경제에 있어서 운수통신 서비스 산업은 공공운수 등 공공부문과 민간부문이 동시에 공존하고 있다. 공공부문은 일반적으로 가격규제의 대상이 되며 적정수준의 정상이윤이 보장된다. 본 논문은 생산요소가격으로 구성된 마크업방정식을 설정하고 운수통신산업의 시계열 마크업을 추정하였다. 또한 자기회귀 시차모형을 이용하여 마크업의 생산요소가격 탄력성을 추정하고 마크업의 결정요소를 분석하였다. 실증분석결과, 마크업의 임금탄력도는 -0.07, 수입가격 탄력도는 -0.45 그리고 이자율탄력도는 -0.13으로 추정되었다. 따라서 본 논문은 운수통신산업의 규제정책에 있어서 수입가격과 이자율이 고려되어야 할 주요 변수임을 밝히고 있다.

• 한국산업융합학회 논문집
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• 제25권3호
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• pp.467-476
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• 2022

The Bank of Korea raised the benchmark interest rate by a quarter percentage point to 1.75 percent per year, and analysts predict that South Korea's policy rate will reach 2.00 percent by the end of calendar year 2022. Furthermore, because market volatility has been significantly increased by a variety of factors, including rising rates, inflation, and market volatility, many investors have struggled to meet their financial objectives or deliver returns. Banks and financial institutions are attempting to provide Robo-Advisors to manage client portfolios without human intervention in this situation. In this regard, determining the best hyper-parameter combination is becoming increasingly important. This study compares some activation functions of the Deep Deterministic Policy Gradient(DDPG) and Twin-delayed Deep Deterministic Policy Gradient (TD3) Algorithms to choose a sequence of actions that maximizes long-term reward. The DDPG and TD3 outperformed its benchmark index, according to the results. One reason for this is that we need to understand the action probabilities in order to choose an action and receive a reward, which we then compare to the state value to determine an advantage. As interest in machine learning has grown and research into deep reinforcement learning has become more active, finding an optimal hyper-parameter combination for DDPG and TD3 has become increasingly important.