• Title/Summary/Keyword: leverage

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Determinants of Dividend Payout: Evidence from listed Oil and Gas Companies of Pakistan

  • Tahir, Muhammad;Mushtaq, Muhammad
    • The Journal of Asian Finance, Economics and Business
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    • 제3권4호
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    • pp.25-37
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    • 2016
  • This study aims to investigate the determinants of dividend payout of Oil and Gas industry of Pakistan using secondary data from published annual reports from 2008 to 2014 listed on KSE (Karachi Stock Exchange). Dividend payout can be affected by profitability, firm size, financial leverage, sales growth, investment opportunities, liquidity, business risk, and ownership structure. Panel data technique used due to panel characteristics of available data with ordinary least square regression model to find out the impact of set of explanatory variables on the dividend payout using the Stata. Financial leverage, sales growth and business risks are the most significant variables of the study where financial leverage and business risk have significant negative effect on dividend payout while sales growth has favorable positive impact on dividend payout. Results revealed significant positive link of profitability and firm size with dividend payout whereas government ownership is negatively associated with dividend payout. Investment opportunities, liquidity and managerial ownership showed insignificant relationship with dividend payout. This Suggests that dividend payout policy is dependent on business strategies including both investment and financing decisions. Financial managers should consider these factors while formulating dividend policy of the firm.

The Liquidity of Indian Firms: Empirical Evidence of 2154 Firms

  • AL-HOMAIDI, Eissa A.;TABASH, Mosab I.;AL-AHDAL, Waleed M.;FARHAN, Najib H.S.;KHAN, Samar H.
    • The Journal of Asian Finance, Economics and Business
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    • 제7권1호
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    • pp.19-27
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    • 2020
  • This paper aims to empirically study the determinants of liquidity of Indian listed firms. To account for profit persistence, we apply a (pooled, fixed and random) effect models to a panel of Indian listed firms that covers the time period from 2010 to 2016. This study consists of 2154 firms operating in Indian market. Liquidity (LQD) of Indian firms is measured by liquid assets to total assets, whereas bank size, capital adequacy, profitability, leverage, and firm age are used as internal determinants. Further, economic activity, inflation rate, exchange rate, and interest rate are the external factors considered. The findings reveal that leverage, return on assets, and firm age are the essential internal determinants that impact the liquidity of Indian listed firms. Furthermore, among the internal determinants, the results indicate that firm size, leverage ratio, return on assets ratio, and firm age are found to have a significant positive association with firms' LQD, except leverage ratio and firm age has a negative relationship with firms' LQD. From this result, this article has provides helpful ideas and empirical evidence on the inner and external determinants of the companies mentioned in India is very useful to bankers, analysts, regulators, investors and other stakeholders.

Chinese Corporate Leverage Determinants

  • Ferrarini, Benno;Hinojales, Marthe;Scaramozzino, Pasquale
    • The Journal of Asian Finance, Economics and Business
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    • 제4권1호
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    • pp.5-18
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    • 2017
  • Total debt in the People's Republic of China surged to nearly 290% as a ratio to GDP by the second quarter of 2016, mostly on account of non-financial corporate debt. The outpouring of credit to stem the impact of the global financial crisis accentuated industrial overcapacity in traditional sectors, such as steel, cement, and energy, while feeding asset bubbles in the property, equity and bond markets. At the Chinese corporate level, this has translated into weakened fundamentals and a fall in industrial profits, particularly of SOEs. As debtors struggle to service interest payments, non-performing loans (NPLs) have been on the rise. This paper assesses the financial fragility of the Chinese economy by looking at risk factors in the non-financial sector. We apply quantile regressions to a dataset containing all Chinese listed companies in Standard & Poor's IQ Capital database. We find higher sensitivity over time of corporate leverage to some of its key determinants, particularly for firms at the upper margin of the distribution. In particular, profitability increasingly acts as a curb on corporate leverage. At a time of falling profitability across the Chinese non-financial corporate sector, this eases the brake on leverage and may contribute to its continuing increase.

The Effect of Liquidity, Leverage, and Profitability on Firm Value: Empirical Evidence from Indonesia

  • JIHADI, M.;VILANTIKA, Elok;HASHEMI, Sayed Momin;ARIFIN, Zainal;BACHTIAR, Yanuar;SHOLICHAH, Fatmawati
    • The Journal of Asian Finance, Economics and Business
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    • 제8권3호
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    • pp.423-431
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    • 2021
  • This study aims to examine the effect of liquidity, activity, leverage, and profitability on firm value, as well as the effect of disclosure of corporate social responsibility (CSR), which in this study is a moderator and company size as a control variable. The sampling technique used in this study is a purposive sampling method with certain criteria, to obtain a sample of 22 LQ45 index companies listed on the Indonesia Stock Exchange in 2014-2019. The data analysis method in this study used was the Multiple Linear Regression Analysis with the SPSS 18 Program. The results show that the ratios of liquidity, activity, leverage, and profitability are significant to firm value in accordance with the initial hypothesis of the study. Corporate Social Responsibility (CSR) plays a role as a moderating variable and company size variable as a control variable on the effect of financial ratios (liquidity, activity, leverage, and profitability) on firm value. The implication of this research is that CSR has a very important role in increasing company value. To attract more investors, companies must pay attention not only to financial performance but also to social performance. Large-scale companies tend to do more CSR so that the company value will increase.

The Effect of Leverage, Earning Management, Capital Intensity, and Inventory Intensity on Tax Aggressiveness of Manufacturing Companies in Indonesia

  • OKTAVIANI, Rachmawati Meita;PRATIWI, Yayang Eka;SUNARTO, Sunarto;JANNAH, Afifatul
    • The Journal of Asian Finance, Economics and Business
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    • 제8권7호
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    • pp.501-508
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    • 2021
  • The largest source of revenue in Indonesia comes from the taxation sector. Taxes increase the state revenue, which the government utilizes for building public facilities and infrastructures, providing subsidies to the public, financing public interests, and so on. In addition to producing revenue, taxes may be used to promote economic stability. Thus, this study aims to examine and analyze the financial aspects of tax aggressiveness. The financial aspects include leverage, capital intensity, inventory intensity, and earning management. The population used in this study was manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2016-2019 period. Data analysis was carried out based on Eviews, with a selected sample of 32 companies of four observation years. Therefore, the number of samples was 128. The results of this study revealed that the best estimation model to use is the Fixed Effect Model (FEM). This study proved that leverage and earning management had a positive and significant effect on tax aggressiveness. In contrast, capital intensity and inventory intensity did not affect tax aggressiveness. In addition, the result of this study is still far from perfect. It is, therefore, hoped that further research can add other variables to find better results.

두꺼운 꼬리 분포와 레버리지효과를 포함하는 확률변동성모형에 대한 최우추정: HMM근사를 이용한 최우추정 (Maximum likelihood estimation of stochastic volatility models with leverage effect and fat-tailed distribution using hidden Markov model approximation)

  • 김태형;박정민
    • 응용통계연구
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    • 제35권4호
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    • pp.501-515
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    • 2022
  • 두꺼운 꼬리 분포와 레버리지효과 등의 금융시계열의 전형적인 특징에도 불구하고 기존 빈도론적 접근법에서는 이를 명시적으로 포착하는 확률변동성모형이 제시된 바 없다. 본 연구는 빈도론적 접근법에서 수익률 금융시계열의 두꺼운 꼬리 분포와 레버리지효과를 명시적으로 포착할 수 있는 근사적인 확률변동성모형 설정을 제시하고 이에 대한 Langrock 등 (2012)의 HMM근사를 이용한 최우추정을 제안한다. 본 연구는 다양한 모의실험과 실증분석을 통해 본 연구에서 제안하는 근사모형이 두꺼운 꼬리 분포와 레버리지효과를 정밀하고 효과적으로 추정할 수 있음을 보인다.

Firm's Risk and Capital Structure: An Empirical Analysis of Seasonal and Non-Seasonal Businesses

  • TAHIR, Safdar Husain;MOAZZAM, Mirza Muhammad;SULTANA, Nayyer;AHMAD, Gulzar;SHABIR, Ghulam;NOSHEEN, Filza
    • The Journal of Asian Finance, Economics and Business
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    • 제7권12호
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    • pp.627-633
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    • 2020
  • The study attempts to analyze the impact of firm's risk on capital structure in the context of seasonal and non-seasonal businesses. We use two independent variables namely credit risk and systematic risk and one dependent variable to explore this connection. Sugar sector is taken as seasonal while the textile sector as non-seasonal businesses. The panel data of twenty-five firms from each sector are taken ranging for the period of 2012 to 2019 which has been retrieved from their annual reports for empirical analysis of the study. The results reveal the negative impact of credit risk on capital structure in both types of businesses. Increasing (decreasing) one point of credit risk causes a decrease (increase) leverage ratio by 0.27 points for seasonal while increasing (decreasing) one point of credit risk causes to decrease (increase) leverage by 0.15 points for non-seasonal businesses. Furthermore, the study shows positive impact of systematic risk on leverage ratio in non-seasonal business and no impact in seasonal business. Any increase (decrease) in the systematic risk causes an incline (decline) leverage ratio by 2.68 units for non-seasonal businesses. The study provides a guideline to managers for risk management in businesses. The research focusses on theoretical as well as managerial and policy implications on risk management in businesses.

L1-회귀추정량의 붕괴점 향상을 위한 알고리즘 (Algorithm for the L1-Regression Estimation with High Breakdown Point)

  • 김부용
    • Communications for Statistical Applications and Methods
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    • 제17권4호
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    • pp.541-550
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    • 2010
  • $L_1$-회귀추정량이 수직이상점에 대해서는 매우 로버스트하지만 지렛점에 대해서는 전혀 로버스트하지 않다는 사실은 잘 알려져 있다. 본 논문에서는 수직이상점은 물론 지렛점에 대해서도 로버스트한 $L_1$-회귀추정을 위한 알고리즘을 제안한다. MCD 또는 MVE-추정량에 바탕을 둔 로버스트거리를 기준으로 지렛점들을 식별하고, 식별된 지렛점들의 영향력을 적절히 감소시키기 위한 가중치를 결정한다. 가중치에 의해 변환된 자료에 선형척도변환 기법에 바탕을 둔 선형계획 알고리즘을 적용함으로써 $L_1$-회귀추정량의 붕괴점을 향상시킨다. 다양한 형태와 규모의 자료에 대한 모의실험 결과, 제안된 알고리즘에 의한 $L_1$-회귀추정량의 붕괴점이 크게 향상되는 것으로 나타났다.

레버리지 주기 이론의 지리적 확장: 불황 주택시장의 서브프라임 부동산 투자자를 중심으로 (Geographic Expansion of the Leverage Cycle Theory: Focusing on the Subprime Real Estate Investor in the Depressed Housing Market)

  • 이후빈
    • 한국경제지리학회지
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    • 제22권4호
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    • pp.592-609
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    • 2019
  • 본 논문은 서브프라임 부동산 투자자를 활용해서 레버리지 주기 이론의 지리적 확장을 시도한다. 레버리지 주기 이론은 낙관적 구매자 중심의 거래구성 재편으로 기초요인 변화와 무관한 자산가격 변동을 입증했지만, 금융위기의 지리적 기원을 설명하기 위해서는 저소득층 주거지역이 몰려 있는 불황 주택시장에서 이 이론이 어떻게 작동하는 지를 파악해야 한다. 불황 주택시장에서 서브프라임 부동산 투자자는 저소득층 주거지역에 집중했고, 이에 따라 저소득층 주거지역의 주택거래는 부동산 투자자 중심으로 구성되었다. 새로운 행위주체로서 서브프라임 부동산 투자자의 발굴은 레버리지 주기 이론을 자본투자의 취약지역이었던 불황 주택시장에 적용할 수 있는 토대를 마련한다. 이와 같은 시도는 경제이론의 지리적 재해석으로 경제지리학이 경제현상의 시공간적 맥락을 어떻게 복구할 수 있는지를 예시한다.

수산기업의 자본구조 결정 요인에 대한 실증분석: 외환위기 전후의 자본조달 행태 비교 (The Determinants of Fisheries Firms' Capital Structure : Comparative Analysis of Financing Behavior in Pre and Post the Asian Financial Crisis)

  • 남수현;이광민;홍재범
    • 수산경영론집
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    • 제42권2호
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    • pp.1-14
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    • 2011
  • We try to find the determinants of fisheries firms' capital structure during the years from 1992 to 2007 in this paper. We also have a comparative analysis of capital raising behavior in pre and post-IMF financial crisis. Regression analysis is used for this empirical study. Dependent variable is leverage ratio and independent variables are firm size, operating risk, proportion of tangible asset, non-debt tax shield effect, sales growth ratio, profitability and dummy variable. We compared the characteristics of fisheries industry with that of manufacturing industy. The determinants of fisheries firms' capital structure and correlation between pre and post-IMF financial crisis are roughly same as the hypothses except a little difference. As a peculiar difference, corrlation between fisheries firms' operating risk and leverage ratio is (+) in the pre-IMF financial crisis, but (-) in the post-IMF financial crisis. Proportion of tangible asset has a (+) correlation with leverage ratio in pre and post-IMF financial crisis, but in case of manufacturing industy, (-) correlation shows in the pre-IMF financial crisis. Because, in the pre-IMF financial crisis, high proportion of tangible asset doesn't play a role of a collateral, but only increase the bankruptcy probability. Non-debt tax shield effect and leverage ratio have (-) correlation in all industry and all period, but only (+) correlation in case of fisheries industry in the pre-IMF financial crisis. Sales growth ratio has no significant relationship with leverage ratio in fisheries industry, and this is not coincide with our hypothsis. We have a limitation of the sample size of fisheries firms and sample period in this study. Further study is required to classify the fisheries industry with in-shore fisheries, deep sea fisheries and cold storage industry.