• Title/Summary/Keyword: Leverage

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Managerial Share Ownership and Capital Structure: Evidence from Panel Data (소유경영자지분율과 자본구조: 외환위기 이후기간 패널자료분석)

  • Kim, Byoung-Gon;Kim, Dong-Wook
    • The Korean Journal of Financial Management
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    • v.24 no.2
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    • pp.81-111
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    • 2007
  • The agency relationship between managers and shareholders has the potential to influence decision-making in the firm which in turn potentially impacts on firm characteristics such as value and leverage. Using an agency framework, we examine the relation between ownership structure and capital structure during post-IMF period. We used the balanced panel data for 378 korean listed companies during the 1999-2005. The panel data sets consist of time-series observation on each of 378 cross-sectional units. The results indicate a non-linear U-shaped relation between the level of managerial share ownership and leverage with the relation reaching a minimum at 58.48 per cent of management share ownership. As managerial share ownership increase from a low level, managers have incentive to reduce the debt level for decreasing the financial risk, resulting in a lower lever of debt. However, when corporate managers hold a significant proportion of a firm's shares, managers have incentive to increase the debt level for leverage effects, resulting in a higher lever of debt.

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Estimation of BDI Volatility: Leverage GARCH Models (BDI의 변동성 추정: 레버리지 GARCH 모형을 중심으로)

  • Mo, Soo-Won;Lee, Kwang-Bae
    • Journal of Korea Port Economic Association
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    • v.30 no.3
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    • pp.1-14
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    • 2014
  • This paper aims at measuring how new information is incorporated into volatility estimates. Various GARCH models are compared and estimated with daily BDI(Baltic Dry Index) data. While most researchers agree that volatility is predictable, they differ on how this volatility predictability should be modelled. This study, hence, introduces the asymmetric or leverage volatility models, in which good news and bad news have different predictability for future. We provide the systematic comparison of volatility models focusing on the asymmetric effect of news on volatility. Specifically, three diagnostic tests are provided: the sign bias test, the negative size bias test, and the positive size bias test. From the Ljung-Box test statistic for twelfth-order serial correlation for the level we do not find any significant serial correlation in the unpredictable BDI. The coefficients of skewness and kurtosis both indicate that the unpredictable BDI has a distribution which is skewed to the left and significantly flat tailed. Furthermore, the Ljung-Box test statistic for twelfth-order serial correlations in the squares strongly suggests the presence of time-varying volatility. The sign bias test, the negative size bias test, and the positive size bias test strongly indicate that large positive(negative) BDI shocks cause more volatility than small ones. This paper, also, shows that three leverage models have problems in capturing the correct impact of news on volatility and that negative shocks do not cause higher volatility than positive shocks. Specifically, the GARCH model successfully reveals the shape of the news impact curve and is a useful approach to modeling conditional heteroscedasticity of daily BDI.

The Impact of Capital Structure for Ship Investments on Corporate Stability (선박투자자금의 조달구조가 기업의 안정성에 미치는 영향)

  • Cho, Seong-Soon;Yun, Heesung
    • Journal of Navigation and Port Research
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    • v.45 no.6
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    • pp.276-283
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    • 2021
  • The capital structure of the shipping business, which is characterized by its capital intensity and extreme market volatility, is closely related to long-term stability. Research in this area has been conducted mostly in the form of deriving the determinants of capital structure from company-wise financial ratios. This research, on the other hand, has a different approach to the topic. It identifies the relationship between actual cash profit and loss and other variables - i.e. actual vessel prices, interest rates and leverage ratio - by employing historical simulation. The result demonstrates that the P anamax cash profit shows 0 (break-even point) when the debt weight reaches 64.38% (debt ratio 180.74%) and the Cape, 73.04% (debt ratio 270.92%). Additionally, the ships of different types show a divided pattern for the pre- and post-'Super Boom'. It indicates that the business area and the market cycle should be considered when a leverage strategy is established. This research benefits shipping companies set a rational leverage strategy as well as delivers a reasonable guideline to government authorities for the development of a sound policy on shipping finance.

Cash Retention and Firm Value of Entertainment Enterprises (엔터테인먼트 기업의 현금보유가 기업가치에 미치는 영향에 관한 연구)

  • Kim, Nam-Gon;Kim, Jee-Hyun
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.6
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    • pp.55-70
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    • 2021
  • This study investigates the following important financial questions using entertainment enterprises: 1) how does cash reserve affect a firm's financial value? 2) what factors influence the level of cash retention of a firm? For empirical tests, we use accounting and financial data of entertainment companies listed in the KOSPI and KOSDAQ markets for a long-term time period covering from 2000 to 2018. The main findings of this paper are as follows: First, entertainment companies maintain higher level of cash holdings compared to non-entertainment companies. Second, the cash holdings of entertainment enterprises have positive influence on firms' financial value. Third, among various firm characteristics known for affecting the cash holdings level, leverage and profitability exhibit strong relationships in entertainment enterprises. Entertainment firms with lower leverage and higher profitability tend to reserve more cash inside them. These findings suggest that entertainment companies are highly valued by stock market participants as having prospective opportunities, thus, firms with sufficient cash holdings tend to have higher firm value. In addition, these findings imply that cash in entertainment enterprises functions as a substitute for debts and the cash holdings are less likely driven by agency problems.

Extending the Eight Dimensions of Quality

  • Kang Jun-Mo;Park Young-Taek
    • Proceedings of the Korean Society for Quality Management Conference
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    • 1998.11a
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    • pp.301-308
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    • 1998
  • Eight dimensions of quality suggested by Garvin are well-known. It can serve as a framework for strategic analysis to obtain leverage of quality in a competitive market. However, some practically important dimensions such as usability, cost, etc. are not included in the Garvin's. Based on a survey of newly introduced products, we suggest another framework for dimensions of quality: function, time, limitation, usability, problem prevention, economy, maintainability, nativeness, These dimensions are explained with examles.

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Employing SNMP to Manage Ubiquitous Environments

  • Murtaza Syed Shariyar;Amin Syed Obaid;Hong Choong Seon;Choi Sang Hyun
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11a
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    • pp.196-198
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    • 2005
  • The vision of ubiquitous computing is becoming a reality now .Service discovery in ubiquitous environment, as well as adding semantics to the data is quite established. But, not many researchers have thought about the management of these devices. We envisage that by integrating SNMP with service discovery protocols, we could leverage the use of management factors (like performance, fault and security management etc) in the business, organizations, and other multi-user environments.

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DETECTION OF OUTLIERS IN WEIGHTED LEAST SQUARES REGRESSION

  • Shon, Bang-Yong;Kim, Guk-Boh
    • Journal of applied mathematics & informatics
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    • v.4 no.2
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    • pp.501-512
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    • 1997
  • In multiple linear regression model we have presupposed assumptions (independence normality variance homogeneity and so on) on error term. When case weights are given because of variance heterogeneity we can estimate efficiently regression parameter using weighted least squares estimator. Unfortunately this estimator is sen-sitive to outliers like ordinary least squares estimator. Thus in this paper we proposed some statistics for detection of outliers in weighted least squares regression.

A Study on Knowledge Management Utilizing CBR in e-Business (e-Business 환경하에서의 CBR(Case-based Reasoning)을 이용한 지식경영 사례)

  • Jung, Chang Duk;Kim, Kwang Chul
    • Knowledge Management Research
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    • v.3 no.1
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    • pp.93-106
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    • 2002
  • Knowledge management is a recent area in business administration that deals with how to leverage knowledge as a key asset and resource in modern organizations. Also, Knowledge systems are the single most important industrial and commercial offspring of the discipline called artificial intelligence. A Case Based Reasoning(CBR) system solves new problems by recalling adapting previous solutions. This paper presents the results of a recent empirical study. Furthermore this study proposes a CBR Methodology designed to manage knowledge of Hana company under e-business.

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On a Robust Test for Parallelism of Regression Lines against Ordered Alternatives

  • Song, Moon-Sup;Kim, Jin-Ho
    • Communications for Statistical Applications and Methods
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    • v.4 no.2
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    • pp.565-579
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    • 1997
  • A robust test is proposed for the problem of testing the parallelism of several regression lines against ordered alternatives. The proposed test statistic is based on a linear combination of one-step pairwise GM-estimators. We compare the performance of the proposed test with that of the other tests through a Monte Carlo simulation. The results of the simulation study show that the proposed test has stable levels, good empirical powers in various circumstances, and particularly higher empirical powers under the presence of extreme outliers or leverage points.

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Robust Regression and Stratified Residuals for Left-Truncated and Right-Censored Data

  • Kim, Chul-Ki
    • Journal of the Korean Statistical Society
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    • v.26 no.3
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    • pp.333-354
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    • 1997
  • Computational algorithms to calculate M-estimators and rank estimators of regression parameters from left-truncated and right-censored data are developed herein. In the case of M-estimators, new statistical methods are also introduced to incorporate leverage assements and concomitant scale estimation in the presence of left truncation and right censoring on the observed response. Furthermore, graphical methods to examine the residuals from these data are presented. Two real data sets are used for illustration.

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