• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.913-917
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• 2009

The measures of leverage in linear regression has been extended to nonlinear regression models. We consider several curvature measures of nonlinearity in an estimation situation. The relationship between measures of leverage and statistical curvature are explored in nonlinear regression models. The circumstances under which the Jacobian leverage reduces to a tangent plane leverage are discussed in connection with the effective residual curvature of the nonlinear model.

• International Journal of Human Ecology
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• v.4 no.1
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• pp.1-14
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• 2003

This study examines apparel brand extensions in terms of types and leverage effects. The researchers identified types of apparel brand extensions based on recent data gathered from the Korean apparel market. Three hundred forty eight Korean female subjects in their 20's evaluated three hypothetically extended brands from a major casual brand which actually exists in the Korean market. Major findings of the study follow. First, apparel brands are extended to different product categories by adjusting mostly target profiles as well as product usage, product class, and distribution channel. Secondly, leverage effects, the extent of image transfer from the parent brand to extended brands, are different according to the extension types.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.27-40
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• 2019

The study examines the effects of growth opportunities, debt maturity and liquidity risk on leverage, making use of a large panel of Chinese listed firms. Research on capital structure has broadened its scope from a single capital structure decision (the debt/equity choice) to various attributes of the debt in firms' capital structure. We use the system Generalized Method of Moments estimator to control for unobserved heterogeneity and the potential endogeneity of regressors. We find a negative relationship between growth opportunities and leverage. Further, we find that while the proportion of short-term debt attenuates the negative effect of growth opportunities on leverage, it negatively affects leverage as predicted by the liquidity risk hypothesis. When we distinguish between state owned firms and private controlled firms, we find evidence that these effects are only relevant to private controlled firms. However, our analysis indicates that the economic implication of liquidity risk effect is much lower for Chinese firms than that observed in the literature for US firms. Our study suggests that these differences can be explained by differences in the institutional environment in which firms operate. This finding related to Diamond's (1991) liquidity risk hypothesis extends our understanding of the relationship between liquidity risk and the debt maturity choice.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.787-796
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• 2021

This study investigates the effect of chief executive officers (CEO) demographic characteristics such as age, functional experience, education, and gender, on corporate leverage decisions. This study investigates the independent commissioner's role in moderating the relationship between CEO demographic characteristics and leverage decisions. The data used is panel data with a sample of 283 non-financial companies listed on the Indonesia Stock Exchange (BEI) from 2010-2017. Moderated regression analysis is used as an analytical technique, with the selected model fixed effects model. The results showed that male and young CEOs were more risk-averse, so they tended to use debt more. However, this study found no evidence of the effect of CEO experience and education on leverage. This study finds evidence that independent commissioners reduce the influence of CEO age and gender on leverage decisions. It shows the role of independent commissioners in controlling risk-taking from male and young CEOs related to leverage decisions. These results become input for companies to consider demographic characteristics in choosing a CEO. Also, companies need a board (in this study seen from independent commissioners) that is strong enough to control the CEO regarding risky decision making, such as leverage decisions.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.245-254
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• 2021

This paper examines the impact of corporate governance strength on capital structure in an emerging country, namely, Jordan, by constructing a corporate governance score that captures both internal monitoring mechanisms (foreign ownership and institutional ownership) and external monitoring mechanism (audit fees). In addition, this study uses profitability as control variable. This paper uses data of non-financial companies (industrial and services) of 87 listed firms on Amman Stock Exchange (ASE) from 2011 to 2019. Using the random-effects generalized least square (GLS) regression model, the findings reveal that foreign ownership significantly and negatively influences the level leverage, while institutional ownership has a positive and insignificant association with level leverage. Further, audit fees have a positive and strong significant association with level leverage in Jordan. In addition, profitability has a positive and significant association with leverage. These outcomes suggest that foreign ownership should be encouraged in listed companies as it can replace the weakness of other corporate governance mechanisms in Jordan. The outcomes of the current study should be of great interest to regulators and policy-makers. The results, which are robust to a range of alternative proxies and to additional tests, provide new insights into the determinants of level leverage.

• The Korean Journal of Applied Statistics
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• v.37 no.1
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• pp.39-48
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• 2024

In this paper, we introduce an extended GARCH model designed to address asymmetric leverage effects. The variance in the standard GARCH model is composed of past conditional variances and past squared residuals. However, it is not possible to model asymmetric leverage effects with squared residuals alone, so in this paper, we propose a new extended GARCH model to explain the leverage effects using the Yeo-Johnson transformation which adjusts transformation parameter to make asymmetric data more normal or symmetric. We utilize the reverse properties of Yeo-Johnson transformation to model asymmetric volatility. We investigate the characteristics of the proposed model and parameter estimation. We also explore how to derive forecasts and forecast intervals in the proposed model. We compare it with standard GARCH and other extended GARCH models that model asymmetric leverage effects through empirical data analysis.

• KDI Journal of Economic Policy
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• v.38 no.4
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• pp.23-44
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• 2016

Household debt in Korea raises concerns about the resilience of the economy due to its size and quality. Against this backdrop, we investigate if household leverage matters for private consumption in adverse economic environments even without severe financial disruptions. We find that the balance sheet positions in terms of the leverage ratio may weaken consumption growth. We also find that the depressive effect of debt on consumption may differ across types of consumer spending and household characteristics. In particular, the effects of indebtedness have been much stronger in relation to durable goods expenditures than in other areas. In addition, debtors in high-income (wealth) groups have also shown downward adjustments in consumption even more so than low-income (wealth) groups. These findings imply that debtors' precautionary behavior may serve as an important channel from leverage to consumer spending.

• Communications for Statistical Applications and Methods
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• v.7 no.3
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• pp.667-676
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• 2000

This paper focuses on the problem of detecting multiple leverage points and outliers in multivariate linear models. It is well known that he identification of these points is affected by masking and swamping effects. To identify them, Rousseeuw(1985) used robust estimators of MVE(Minimum Volume Ellipsoids), which have the breakdown point of 50% approximately. And Rousseeuw and van Zomeren(1990) suggested the robust distance based on MVE, however, of which the computation is extremely difficult when the number of observations n is large. In this study, e propose a new algorithm to reduce the computational difficulty of MVE. The proposed method is powerful in identifying multiple leverage points and outlies and also effective in reducing the computational difficulty of MVE.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.79-85
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• 2018

The objective of this study focuses on the relationship between increasing of leverage and income, asset purchase. For empirical test, regression analysis was conducted using panel data of the household financial welfare survey. The results of the analysis are as follows: First, increasing of leverage is determined by the asset purchase. Deleveraging can be realized by reducing the size of the assets. Second, increase of leverage has positively affected on the increase of asset. Also, the increase of income has significantly positive influence on the increase of assets. These results provide practical guidance as research in increasing of leverage and increase of asset and the limitations of the research and future study are discussed as well.

• Communications for Statistical Applications and Methods
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• v.12 no.3
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• pp.625-634
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• 2005

A procedure is proposed to identify multiple outliers in the logistic regression. It detects the leverage points by means of hierarchical clustering of the robust distances based on the minimum covariance determinant estimator, and then it employs a V-mask type criterion on the scatter plot of robust residuals against robust distances to classify the observations into vertical outliers, bad leverage points, good leverage points, and regular points. Effectiveness of the proposed procedure is evaluated on the basis of the classic and artificial data sets, and it is shown that the procedure deals very well with the masking and swamping effects.