• 제목/요약/키워드: Generalized Method of Moments

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The Impact of Financial Distress on Cash Holdings in Indonesia: Does Business Group Affiliation Matter?

  • HADJAAT, Michael;YUDARUDDIN, Rizky;RIADI, Sukisno Selamet
    • The Journal of Asian Finance, Economics and Business
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    • 제8권3호
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    • pp.373-381
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    • 2021
  • This study aims to investigate the impact of financial distress on the cash holding of non-financial companies in Indonesia as the largest emerging economy among ASEAN countries. Furthermore, the sub-sample business group to be investigated were divided into two, groups namely affiliated and non-affiliated groups. This was carried out to ascertain the difference in the impact of financial distress on cash holding between both groups. Sample collection was based on all firms listed on the Indonesian Stock Exchange (IDX) during 2008-2017, comprising 137 firms. The results showed that using the two-step system Generalized Method of Moments (GMM), the coefficients for financial distress (Z-Score) indices were positive and significant for all models. Therefore, the higher the Z-Score value, the lower the company's financial distress and vice versa. This implies that the lower the company's financial distress, the lower the cash holding. Furthermore, a positive and significant impact of the Z-Score on cash holding for non-affiliated groups was discovered. This implies that there are differences in the amount of cash holding between affiliated and non-affiliated groups. This result indicates that non-affiliated groups hold more cash during financial distress. However, these results had cash policy implications, particularly for non-affiliated groups.

수출이 기업혁신에 미치는 영향 (Exports and Firm Innovation)

  • 임정대
    • 무역학회지
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    • 제44권3호
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    • pp.227-252
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    • 2019
  • This study explores the effects of exports on the innovation of Korean firms listed on two Korean stock markets, the Korean Stock Exchange and the Korean Securities Dealers Quotations, between 1999 and 2016. By matching exporting firms to non-exporting ones with propensity score matching, this study accounts for a problem from sample selection bias that may arise from differences in firm-characteristics between the two groups. From the study results, first, both export participation and export volume significantly increase subsequent innovation performance, as measured by the number of patent applications. This result seems to support the "learning by exporting" hypothesis for Korean listed firms. Second, both export participation and export volume narrow innovation scope, proxied as the number of unique International Patent Classification (IPC) codes of the patent applied, the degree to which patents are concentrated in a particular class, and the degree of proximity in the patents. The findings of innovation scope suggest a possible explanation that the learning effect appears in familiar technology fields that firms have previously held, rather than in unfamiliar ones. Third, these results are robust using alternative proxies in the innovation scope, Tobit regressions to consider the non-trivial portion of sample firms with patent applications equal to zeros, and generalized method of moments (GMM) to control for the persistence of innovation measures hearing over years. Finally, the two main results are more pronounced in large firms than in small and medium-sized ones. As for Chaebol firms, however, these results do not appear.

Inclusive Growth and Innovation: A Dynamic Simultaneous Equations Model on a Panel of Countries

  • Bresson, Georges;Etienne, Jean-Michel;Mohnen, Pierre
    • STI Policy Review
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    • 제6권1호
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    • pp.1-23
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    • 2015
  • Based on the work of Anand et al. (2013) we measure inclusive income growth, which combines growth in gross domestic product (GDP) per capita and growth in the equity of the income distribution. Extending the work of Causa et al. (2014), we estimate a dynamic simultaneous structural equations model of GDP per capita and inclusive income on panel data for 63 countries over the 1990-2013 period. We estimate both equations in error correction form by difference GMM (generalized method of moments). Among the explanatory variables of the level and the distribution of GDP per capita we include R&D (research and development) expenditure per capita. In OECD countries we obtain a large positive effect of R&D on GDP. R&D is found to have a positive effect on the social mobility index but its impact on the income equity index at first decreases, then switches around to become slightly positive in the long run. In non- OECD countries, R&D is found to decrease inclusive income, mostly through a negative growth effect but also because of a slightly increasing income inequity effect.

Determinants of Micro-, Small- and Medium-Sized Enterprise Loans by Commercial Banks in Indonesia

  • YUDARUDDIN, Rizky
    • The Journal of Asian Finance, Economics and Business
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    • 제7권9호
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    • pp.19-30
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    • 2020
  • This paper investigates, in a single equation framework, the effect of bank-specific and macroeconomic determinants on micro-, small- and medium-sized loans by commercial banks in Indonesia. This study uses a sample of 790 observations from 79 commercial banks in Indonesia over the years 2006-2015. This study uses two estimation methods for our panel regressions: static and dynamic generalized method of moments (GMM) panel estimator. In static relationships, the literature usually uses the least square methods on fixed effects (FE) or random effects (RE). I found evidence that all banks, bank profitability and size are positively and significantly related to micro-, small- and medium-sized loans, while the coefficients of liquidity are significantly positive in all specifications, except government banks which is significantly negative. The relationship between risk and credit growth is negative for non-government banks. All estimated equations show that the effect of the capital variable on lending banks to MSMEs is not important in government banks and non-government banks. Finally, macroeconomic variables, such as inflation and gross domestic product, clearly affect the lending of the banking sector particularly non-state banks. The findings have several policy implications to Indonesia government, regulatory authority and bank managers in order to improve bank profitability through bank lending.

Relationships Between Corporate Social Responsibility, Firm Value, and Institutional Ownership: Evidence from Indonesia

  • HERMEINDITO, Hermeindito
    • The Journal of Asian Finance, Economics and Business
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    • 제9권5호
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    • pp.365-376
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    • 2022
  • This study aims to look into the causal relationships between corporate social responsibility and firm value, corporate social responsibility and institutional ownership, and firm value and institutional ownership. This study develops a triangle model of causal relationships among the three endogenous variables. Samples for this study are manufacturing companies listed on the Indonesia Stock Exchange for the period 2014-2018. The model is operated in the system of simultaneous equation models using the generalized method of moments technique to estimate parameter coefficients. After controlling the effects of trade-off/balancing capital structure and managerial ownership, the research findings show a positive causal relationship between CSR and firm value and firm value and institutional ownership. Institutional ownership has a positive effect on CSR, while the effect of CSR on institutional ownership is negative in the firms without managerial ownership and positive in the firms with managerial ownership. This study finds that the causal relationship between CSR and firm value is stronger after the trade-off/balancing of capital structure is included in the model. Capital structure has a convex effect on firm value and positively impacts institutional ownership. In addition, an independent commissioner has a negative impact on CSR but has no direct impact on firm value.

동태적 패널모형을 통한 무역보험의 거시경제효과 연구 (A Study on the Macroeconomic Effects of Trade Insurance Using Dynamic Panel Models)

  • 남상욱
    • 무역상무연구
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    • 제61권
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    • pp.165-190
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    • 2014
  • The purpose of this study is to measure the trade insurance's macroeconomic effects by analyzing the causality between major economic variables(GDP per capita, market interest rate, inflation, unemployment rate, exchange rate) and trade insurance variable. I conducted empirical analyses using First-difference GMM(Generalized Method of Moments), System GMM and Panel-VAR Model, with panel data from 11 countries(Korea, United States, Japan, BRICs, Indonesia, Singapore, Hong Kong, Vietnam) between 1992 and 2011. There are several important findings. Above all, Trade insurance is positively and significantly related to GDP. This results show that trade insurance serves to increase economic growth. In other words, trade insurance leads to economic growth by helping increase GDP per capita. Especially, trade insurance negatively related to unemployment rate, it is for sure that trade insurance contribute to decrease unemployment rate. And trade insurance helps control of inflation. It is also confirmed that trade insurance contributes to price stability, which in turn serves to stabilize the overall economy. And this research finds as uncertainty in the market increases, seen it as increase of exchange rate, increasing trade insurance supply is stabilize the exchange rate.

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해외직접투자가 혁신에 미치는 영향: 한국의 61개 산업을 중심으로 (The Effects of Foreign Direct Investment on Innovation: Based on 61 Industries in Korea)

  • 임정대;이승아;정세진
    • 무역학회지
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    • 제44권5호
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    • pp.143-159
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    • 2019
  • This study explores the relationship between outward foreign direct investment (FDI) and innovation in 61 industries of Korea between 1999 and 2016. In order to mitigate the endogeneity problem due to potential reverse causality between FDI and innovation, we use the GMM (generalized method of moments). Our results are as follows. First, FDI has a positive effect on innovation. A possible explanation is that through FDI, multinational companies may assimilate host countries' technologies and knowledge by learning, and then recreating new technologies. Furthermore, this positive effect appears greater, as industrial competition becomes fiercer. This result provides empirical evidence that by recreating technology and knowledge learned through FDI with their own intangible assets, such as patents, they may gain a competitive edge over competitors. Second, this study confirms the greater positive effects of FDI in developed countries, as well as countries with higher technology levels. Finally, strategic asset seeking FDI has the greatest positive impact on innovation in Korean industries. In summary, our findings provide empirical evidence that Korean multinationals can learn technology and knowledge of host countries through FDI to secure a competitive edge in the Korean market.

속도포텐셜접속법과 특이점분포법에 의한 방파제에 근접한 부유식 해상공항에 대한 유탄성 응답 해석 (Hydroelastic Responses for a VLFS close to a Breakwater by the Velocity Potential Continuation and Singularity Distribution Method)

  • 이호영;곽영기;박종환
    • 대한조선학회논문집
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    • 제39권2호
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    • pp.11-18
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    • 2002
  • 본 논문은 착저식 방파제를 고려하여 방파제 후면에 위치한 부유식 해상공항의 파도 중에서 유탄성 응답을 계산하는 방법을 제시하였다. 방파제 효과를 고려한 일반화된 방사문제를 해석하기 위하여 소오스-다이폴 분포법을 사용하였고, 산란문제를 해석하기 위하여 속도포텐셜접속법과 소오스-다이폴 분포법을 이용하였다. 구조물의 응답은 자유-자유 보의 고유 모드함수에 의한 모드 해석법을 사용하여 계산하였다. 계산 모델로 길이가 1000m의 해상공항 구조물을 도입하였고, 방파제의 효과를 살펴보기 위해 방파제와 해상공항사이의 거리 및 입사화랑의 각도를 변화시키면서 수직 응답 및 굽힘 모우멘트 등을 계산하였다.

Generalized Extreme Value 분포 자료의 교차상관과 L-모멘트 추정값의 교차상관의 관계 유도 (Derivation of Relationship between Cross-site Correlation among data and among Estimators of L-moments for Generalize Extreme value distribution)

  • 정대일
    • 대한토목학회논문집
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    • 제29권3B호
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    • pp.259-267
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    • 2009
  • GEV분포는 세계 여러 나라에서 홍수와 극한강우 등의 빈도분포로 널리 활용되고 있다. L-모멘트법은 GEV분포의 매개변수 추정을 위해 일반적으로 사용되고 있는 추정법이다. 본 연구에서는 Monte Carlo 실험을 이용하여 GEV분포를 따르는 서로 다른 두 지점의 자료의 교차상관계수를 이용하여 L-모멘트 추정값인 L-변동계수와 L-왜도계수들 간의 교차상관계수를 Simple Power 함수를 이용하여 유도하였다. 실험과정에서 생성된 비현실적이며 실험결과에 큰 영향을 미치는 음수값들을 배재한 GEV+분포를 이용하였다. 결과로, Simple Power 함수가 두지점간 자료의 교차상관과 L-모멘트 추정값들간의 교차상관 계수의 관계를 잘 모사하고 있음을 확인하였다. 다양한 GEV 분포의 매개변수 조합에 대한 Simple Power 함수의 매개변수 추정값과 정확성은 표로 제시하였다. 또한 위 연구결과를 활용할 수 있는 Generalised Least Square(GLS) 지역회귀 기법에 대해 설명하였다. 따라서 본 연구에서 도출된 관계식은 향후 GLS 회귀식을 이용한 GEV 분포의 지역 매개변수를 추정하는데 있어 L-모멘트 추정값들간의 정확한 교차상관관계를 제시할 수 있을 것으로 기대한다.

Solution of randomly excited stochastic differential equations with stochastic operator using spectral stochastic finite element method (SSFEM)

  • Hussein, A.;El-Tawil, M.;El-Tahan, W.;Mahmoud, A.A.
    • Structural Engineering and Mechanics
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    • 제28권2호
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    • pp.129-152
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    • 2008
  • This paper considers the solution of the stochastic differential equations (SDEs) with random operator and/or random excitation using the spectral SFEM. The random system parameters (involved in the operator) and the random excitations are modeled as second order stochastic processes defined only by their means and covariance functions. All random fields dealt with in this paper are continuous and do not have known explicit forms dependent on the spatial dimension. This fact makes the usage of the finite element (FE) analysis be difficult. Relying on the spectral properties of the covariance function, the Karhunen-Loeve expansion is used to represent these processes to overcome this difficulty. Then, a spectral approximation for the stochastic response (solution) of the SDE is obtained based on the implementation of the concept of generalized inverse defined by the Neumann expansion. This leads to an explicit expression for the solution process as a multivariate polynomial functional of a set of uncorrelated random variables that enables us to compute the statistical moments of the solution vector. To check the validity of this method, two applications are introduced which are, randomly loaded simply supported reinforced concrete beam and reinforced concrete cantilever beam with random bending rigidity. Finally, a more general application, randomly loaded simply supported reinforced concrete beam with random bending rigidity, is presented to illustrate the method.