• The Journal of Asian Finance, Economics and Business
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• 제7권2호
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• pp.53-64
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• 2020

We provide one of the first investigation on the impact of the degree of total leverage to the dividend policy of bank. We use a large sample of US bank holding companies from 2000:Q1 to 2017:Q4 to shed light our research question. Our empirical analysis provides consistent evidence that banks with high degree of total leverage (i.e. banks with a relatively high fixed-to-variables costs) are less likely to pay dividends, and they spend a lower fraction of incomes to pay back shareholders, suggesting a higher conservatism in dividend policy of banks subject to high degree of total leverage. The evidence remains unchanged with alternative econometric approaches, alternative measures of dividend policy and degree of total leverage. We further document that this higher conservatism is strengthened for a sample of banks with low franchise value during the financial crises. Our result suggests that the conservatism in dividend policy of banks with high degree of total leverage seems to be related to the precautionary motives aimed at preserving corporate resources under financial distress. Our study contributes to the literature of cost structure and dividend policy by pointing out that the impacts of the degree of fixed-to-variable expenses to dividend policy are extended to the case of banks.

• The Journal of Asian Finance, Economics and Business
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• 제9권1호
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• pp.133-142
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• 2022

This study examines the relationship between debt maturity structure and bankruptcy risk. There are various studies of leverage's effect on bankruptcy risk. Debt maturity, however, has not received the attention it deserves, especially in emerging markets with a high degree of information asymmetry. Using Vietnamese listed company data and various estimations, we find that leverage is positively associated with the likelihood of default. Importantly, short-term leverage shows a significantly positive effect on bankruptcy risk, while long-term leverage does not show significant results. The findings highlight that rollover risk firms are exposed to when using short-term debt increases bankruptcy risk. Meanwhile, firms do not cope with this risk in case of long-term debt adoption. High information asymmetry in emerging markets may be the main reason for the difference. The result is robust for subsamples of firms in different financial conditions, in concentrated and competitive industries, as well as for manufacturing and non-manufacturing companies. We also find that firms in a better financial situation and concentrated industries experience a higher short-term leverage effect than their counterparts. We, however, do not find a significant difference in the impact between manufacturing and non-manufacturing companies. This paper is among the first to examine the relation between debt maturity and bankruptcy risk in Vietnam.

• 경영과정보연구
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• 제30권4호
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• pp.175-193
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• 2011

본 연구에서는 영업레버리지와 재무레버리지 위험 사이의 관련성을 살펴보았다. 한국거래소에 상장되어 있는 제조업체를 대상으로 1990년부터 2009년까지 20년간의 자료를 사용하여 분석한 결과 영업위험과 재무위험이 외국에 비해 상대적으로 높은 수준을 나타냈으며, 1997년 외환위기 이전까지 지속적으로 상승하는 추세가 2009년에 다시 하락하였다. 그리고 영업레버리지도와 재무레버리지도 사이에는 양의 상관관계가 존재하는 것으로 분석되었으나, 연도별로는 일정한 규칙을 나타내고 있지 않았다. 분석대상 제조업체를 자산규모 세부 요소를 기준으로 구분한 소그룹별 분석에서는 각 그룹별로 상이한 결과를 얻었다. 특히 재무의사결정행태가 레버리지도 수준에 따라 크게 다르게 나타나고 있다. 또한 외환위기 전후로 분석한 결과 영업레버리지는 외환위기 후가 높지만 재무레버리지는 외환위기 전이 높았다. 그러나 영업레버리지는 통계적으로 유의한 차이를 나타내지 않았고, 재무레버리지는 통계적으로 유의한 차이를 나타내고 있다. 이는 외환위기 이후 기업의 위험관리가 재무적인 면에서 강하게 작용하는 것으로 파악된다. 또한 외환위기 후의 영업레버리지와 재무레버리지 크기의 따라 주식수익률이 유의한 차이가 있는 것으로 나타났다.

• 아태비즈니스연구
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• 제9권4호
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• pp.85-97
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• 2018

This paper investigates factors underlying a decrease in trading values in KOSPI 200 futures/options market on the basis of the current state of the markets. Among the factors that could affect trading values in KOSPI 200 derivatives market, we focus on the market activity of underlying assets as it has an impact on the trading of financial derivatives. Trading value and volatility are designated as market activity and the empirical results confirm that the market activity of the underlying assets is significant in explaining the decrease in trading values in KOSPI 200 futures/options market. To figure out fundamental reasons of the decrease in trading values in this market, we examine mitigation of home bias and decrease in leverage incentives as they are presumed to have influence on KOSPI 200 index market. As the global and local financial environment is time-varying, the degree of home bias and the leverage demand also changes. It implies that institutional change and/or policy effort to promote the trading of KOSPI 200 financial derivatives should be made taking into account the fact that considerable portion of the change in trading values in financial derivatives market depends on the state of the market.

• 재무관리연구
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• 제21권1호
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• pp.33-58
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• 2004

본 연구는 투자와 자금조달에 대한 의사결정이 상호연계성을 가지고 이루어져야 한다는 인 식하에 영업레버리지와 재무레버리지간의 상관관계를 분석함으로써 국내기업의 재무의사결정 행태를 살펴보았다. 한국증권거래소에 상장되어 있는 제조업체를 대상으로 1980년부터 2001년까지 22년간의 자료를 사용하여 분석한 결과 영업위험과 재무위험이 외국에 비해 상대적으로 높은 수준을 나타냈으며, 1997년 외환위기 이전까지 지속적으로 상승하는 추세를 보였다. 그리고 영업레버리지도와 재무레버리지도 사이에는 양의 상관관계가 존재하는 것으로 분석되었다. 이와 같은 결과는 국내 제조업체들이 경기변화에 매우 민감하게 반응하는 자산구조와 재무 구조를 가지고 있으며, 영업레버리지도가 높은 수준임에도 불구하고 재무레버리지도 역시 높게 유지함으로써 국내 제조업체의 투자에 대한 결정과 자금조달에 대한 결정이 위험관리측면에서 합리적으로 이루어지지 못한 것으로 평가할 수 있다. 분석상 제조업체를 자산규모, 레버리지도 수준, 경상이익률 및 영업현금흐름 등 기업의 세부 요소를 기준으로 구분한 소그룹별 분석에서는 각 그룹별로 상이한 결과를 얻었다. 특히 재무의사결정행태가 레버리지도 수준에 따라 크게 다르게 나타나고 있다. 즉, 영업레버리지와 재무레버리지가 모두 낮거나 높은 그룹은 이들 간의 상관계수가 양으로 나타난 반면 영업레버리지(재무레버리지)가 높고 재무레버리지(영업레버리지)가 낮은 그룹은 음으로 나타나고 있다. 이와 같은 결과는 기업의 세부적인 내부 요소를 고려하는 경우에는 전체 표본분석에 나타난 평가와는 다른 해석도 가능하며, 레버리지에 영향을 미치는 실질적인 요인을 직접적으로 고려한 보다 면밀한 분석이 필요하다는 것을 의미한다.

• 대한안전경영과학회지
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• 제15권3호
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• pp.151-161
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• 2013

This paper proposes a strategic model of linkage between productivity metrics and financial accounting metrics to properly evaluate the financial effect of TPM activities and the business performance. This linkage strategy provides a connection tool for clear communication between factory-level and headquarters that the metrics proposed by this paper ultimately improves a quality of support from the management by receiving the factors required for productivity activities in the practical field. This factor includes such as equipment, raw materials and labors. Here, we propose that chain reaction models using break down structure of productivity metrics and financial metrics enhance the knowledge sharing of KPI (Key Performance Indicator) which generally tend to create oversimplified communication between management in headquarters and employees in the practical fields. The productivity metrics include OEE(Overall Equipment Effectiveness) of TPM (Total Productive Maintenance), OLE (Overall Labor Effectiveness) of PAC(Performance and Analysis and Control) activities, and OYE (Overall Yield Effectiveness) of TMM(Total Material Management) activities. The financial accounting metrics include ROE(Return on Equity), ROA(Return on Asset), and AVR(Added-Value Rate). The suggested chain reaction model selects the financial metrics as initial stage and branch down until final stage of productivity metrics. When demand exceeds supply, an ideal speed rate, the lean OEE strategy can be initially applied to reduce the gap between the demand and supply, then apply variable costing to estimate correct amount of operating profit. In addition, the paper presents a new type of model for linkage between financial accounting metrics including CAPEX(Capital Expenditure), OPEX(Operating Expenditure), EVA(Economic Added Value), DCL(Degree of Combined Leverage), and TPM productivity activities including AM(Autonomous Maintenance), PM(Preventive Maintenance), MP(Maintenance Prevention) and QM(Quality Maintenance). In order to support the evidence of proposed linkage strategy, a case analysis on 52 projects from national TPM contest from 2011 to 2012 is analyzed. The case presents the classification of CAPEX and OPEX activities from TPM, and proposes the correct implementation of financial effect for TPM projects.

• 한국콘텐츠학회논문지
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• 제16권3호
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• pp.553-562
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• 2016

본 연구는 투자자가 부동산 투자의사결정에 있어 고려해야하는 투자선호특성을 규명하고 투자자 유형에 따른 선호특성의 차이를 비교 분석하였다. 투자만족도에 영향을 미치는 요인을 분석하기 위해 선행연구 고찰을 통하여 투자선호특성을 종합하고 PLS(Partial Least Squares)회귀분석을 활용하여 그 영향을 실증하였다. 또한 투자자 유형별 투자선호특성을 비교하기 위해 분석대상을 기관투자자와 일반투자자로 구분하여 설문을 진행하였다. 분석결과 기관투자자는 인플레이션 헤지, 조지자본회수, 재무적 안전성, 레버리지 위험 등의 투자선호특성을 중시하는 것으로 나타났으며 일반투자자의 경우 임대수익, 시설 및 설비, 상권 및 인구, 이용 편의성, 레버리지 위험, 조기자본회수 등의 투자선호특성이 중요한 것으로 도출되었다. 또한 공통적인 투자선호특성으로 레버리지 위험, 조기자본회수, 시설접근성이 도출되었다. 이러한 결과를 바탕으로 시사점을 도출하면 다음과 같다. 첫째, 투자자들은 부동산 투자에 있어 투자 위험을 회피하거나 줄일 수 있는 요인을 중시 한다는 점이다. 둘째, 부동산 경기 침체 및 저금리 현상으로 나타나는 부동산 관련 규제 및 금융규제완화를 중요시하는 것으로 나타났다. 셋째, 부동산 투자의사결정에 있어 투자자 유형에 따른 차이를 고려해야 한다는 것이다.

• 무역학회지
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• 제47권3호
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• pp.211-232
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• 2022

Due to the impact of the public health event COVID-19 epidemic, the Chinese futures market showed "Black Swan". This has brought the unpredictable into the economic environment with many commodities falling by the daily limit, while gold performed well and closed in the sunshine(Yan-Li and Rui Qian-Wang, 2020). Volatility is integral part of financial market. As an emerging market and a special precious metal, it is important to forecast return of gold futures price. This study selected data of the SHFE gold futures returns and conducted an empirical analysis based on the generalised autoregressive conditional heteroskedasticity (GARCH)-type model. Comparing the statistics of AIC, SC and H-QC, ARMA (12,9) model was selected as the best model. But serial correlation in the squared returns suggests conditional heteroskedasticity. Next part we established the autoregressive moving average ARMA-GARCH-type model to analysis whether Volatility Clustering and the leverage effect exist in the Chinese gold futures market. we consider three different distributions of innovation to explain fat-tailed features of financial returns. Additionally, the error degree and prediction results of different models were evaluated in terms of mean squared error (MSE), mean absolute error (MAE), Theil inequality coefficient(TIC) and root mean-squared error (RMSE). The results show that the ARMA(12,9)-TGARCH(2,2) model under Student's t-distribution outperforms other models when predicting the Chinese gold futures return series.

• 동아시아경상학회지
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• 제4권4호
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• pp.8-20
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• 2016

Banks are the engines that drive the operations in financial sector, money markets and growth of economy. With growing banking industry in India, frauds in Banks are increasing and fraudsters are becoming more sophisticated and ingenious. Shockingly, banking industry in India dubs rising fraud as "an inevitable cost of doing business." As part of study, a questionnaire-based survey was conducted in 2012-13 among 345 Bank employees "to know their perception towards bank frauds and evaluate factors that influence the degree of their compliance level." The study reveals, "there are poor employment practices and lack of effective employee training; usually over-burdened staff, weak internal control systems, and low compliance levels on the part of Bank Managers, Offices and Clerks. Although banks cannot be 100% secure against unknown threats, a certain level of preparedness can go a long way in countering fraud risk. Internal audit professionals should play an integral role in organization's fraud-fighting efforts. Some other promising steps are: educate customers about fraud prevention, make application of laws more stringent, leverage the power of data analysis technologies, follow fraud mitigation best practices, and employ multipoint scrutiny.