• The Journal of Asian Finance, Economics and Business
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• 제7권4호
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• pp.51-58
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• 2020

The study aims to investigate the relationship between hedging with derivatives and subsequent firm-level stock price crash risk. Our sample consists of KOSPI- and KOSDAQ-listed companies from 2004 to 2014. The total firm-year observation is 4,886. We find that hedging with derivatives is related to greater possibilities of crash risk. The results suggest that the complexity of economic and financial reporting for derivatives may aggravate the company's information opacity, ultimately increasing the crash risk. We contribute to the growing body of literature on hedging with derivatives. Academics and practitioners have debated on whether or not hedging enhances transparency or rather makes the information environment more opaque. Theoretical research on the role of corporate hedging on information environment shows that hedging enhances earnings informativeness. Meanwhile, pieces of anecdotal and empirical evidence show that the economic and financial reporting complexity of derivatives can harm information transparency. Our results shed light on the question of whether and how hedging with derivatives affects information environment by examining the relationship between hedging with derivatives and crash risk. Furthermore, our findings provide useful insights for policymakers and practitioners. Specifically, our results raise a need for a more transparent disclosure on corporate hedging activities with derivatives.

• 통상정보연구
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• 제9권2호
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• pp.65-86
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• 2007

This paper reviews the properties and application methods of widely used types of risk measures, identifies the rationale and business-side effects of hedging, derives the theoretical formula of optimal hedging ratio, and analyzes the various functional aspects of VaR(Value-at-risk) as a risk measure and a hedging tool. Especially this paper focuses on the characteristics of VaR compared with other risk measures in terms of their own principal determinants and identifies its stronger aspects in the dimension of hedging strategy tools. As well, this paper provides the detailed processes deriving the optimal hedge ratios based on the distributional parameters and risk factors. In addition, this paper presents the detailed and substantial processes of estimating the minimum variance hedge ratio and minimum-VaR hedge ratio using the actual data and shows that the minimum variance hedge ratio proves helpful for many cases although it is not appropriate for the non-linear portfolio including the option contracts. We demonstrate the trade-off relationship between the minimum variance hedge strategy and the minimum-VaR hedge strategy in their hedging costs and performances through calculation of the respective VaRs and variances of unhedged and hedged portfolios and the optimal hedge ratio and hedging effectiveness values for the given long position in US Dollar with the short position in Euro.

• Journal of Korea Trade
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• 제24권1호
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• pp.1-34
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• 2020

Purpose - In this study, we investigate determinants of hedging with derivatives and its effect on firm value and firm risk for Korean firms. Design/methodology - To avoid the endogeneity problem pointed out in previous studies, we use a two-stage analysis by using gains and losses from derivatives as instrument variable for hedging with derivatives. Findings - Our analysis on the determinants of hedging shows that firms that are more leveraged and less profitable, and with more growth opportunities are likely to hedge through derivatives. Additionally, large firms, firms less diversified into industry, and firms more diversified geographically are likely to use derivatives. Our two-stage analysis shows that indicators of hedging with derivatives have an insignificant effect on firm value, and the indicator of futures/forwards use and of swaps use have significant negative effect on firm value. Whereas, the extent of hedging with derivatives has positive effect on firm value for all types of foreign currency derivatives, which suggests that moderately low hedgers use derivatives inefficiently, but extensive hedgers use derivatives properly. With regard to firm risk, hedging with derivatives increases market-based risk, but decreases accounting-based risk. Thus, we conclude that Korean firms use derivatives to manage operational volatility rather than to manage market risk, and accounting-based risk reduction through hedging is not directly translated into higher firm value. Originality/value - This is not the first study to investigate hedging behavior of Korean firms, but the sample period that that this study analyzed is the longest and various method are used to control the endogeneity problem. We investigate not only total foreign currency derivatives but also by types of derivatives, including futures/forwards, options, and swaps.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.147-158
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• 2021

Due to COVID-19, the risk of price volatility in commodity and equity markets increases. The research and application of hedging is the most effective way to reduce the market risk. Hedging is a risk management strategy employed to offset losses in investments by taking an opposite position in a related asset. We use K-means and hierarchical clustering methods to cluster companies and futures products respectively, and analyze the relationship between the number of hedging firms, regional distribution, nature of firms, capital distribution, company size, profitability, number of local Futures Commission Merchants (FCMs), regional location, and listing time. The study shows that listed companies with large scale and good profitability invest more money in hedging, while state-owned enterprises' participation in hedging is more likely to be affected by the company size and the number of local futures commission merchants, and private enterprises are more likely to be affected by the company profitability and the regional location. Listed companies are more willing to choose long-listed and mature futures products for hedging. We also provide policy advice based on our conclusion. So far, there is no study on the characteristics of hedging. This paper fills the gap. The results provide a basis and guidance for people's investment and risk management. Using clustering analysis in hedging study is another innovation of this paper.

• 경영과학
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• 제31권1호
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• pp.49-61
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• 2014

We investigate the hedging effectiveness of incorporating single-stock futures into the corresponding stocks. Investing in only stocks frequently causes too much risk when market volatility suddenly rises. We found that single-stock futures help reduce the variance and risk levels of the corresponding stocks invested. We use daily prices of Korean stocks and their corresponding futures for the time period from December 2009 to August 2013 to test the hedging effect. We also use system trading technique that uses automatic trading program which also has several simulation functions. Moving average strategy, Stochastic's strategy, Larry William's %R strategy have been considered for hedging strategy of the futures. Hedging effectiveness of each strategy was analyzed by percent reduction in the variance between the hedged and the unhedged variance. The results clearly showed that examined hedging strategies reduce price volatility risk compared to unhedged portfolio.

• Journal of applied mathematics & informatics
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• 제23권1_2호
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• pp.293-310
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• 2007

Recently a risk measure pricing and hedging is replacing a utility-based maximization problem in the literature. In this paper, we treat the optimal problem of risk measure pricing and hedging in the friction market, i.e. in the presence of transaction costs. The risk measure pricing is also verified with the contexts in the literature.

• 재무관리연구
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• 제27권2호
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• pp.63-84
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• 2010

본 논문에서는 환헤지가 기업가치에 미치는 직접적인 영향을 실증분석한다. 2000~2008년 기간의 환변동보험 데이터를 이용하며 종속변수로는 Tobin's Q, 설명변수로는 환헤지 대용변수를 사용하는 패널분석모형을 설계하였다. 패널자료의 특성을 반영할 수 있도록 샘플기업의 헤징행태(hedging behavior)의 변화에 주목하였으며, 환헤지 더미, 환헤지비율 두 변수를 헤징대용변수로 각각 사용하였다. 실증분석 결과, 유가증권시장에 상장된 기업 중 환변동보험에 가입한 기업의 경우 환헤지가 기업가치에 긍정적인 것으로 나타났다. 환헤지를 하는 경우가 환헤지를 하지 않는 경우에 비하여 기업가치를 7.4% 높이는 것으로 나타났다. 이는 환헤지로 인한 헤징프리미엄이 7.4%라는 것을 의미한다. 그리고 환헤지비율이 높을수록 기업가치는 제고되는 것으로 나타났다. 기타 통제변수들인 기업규모, 수익성, 부채비율 등도 기업가치에 긍정적인 결과를 나타내었다. 본 논문의 의의는 학술적으로 환헤지의 경제적 효과를 직접 실증분석하였다는 점이다. 지금까지 헤징과 기업가치간의 관계를 직접 실증한 국내 연구문헌은 찾을 수 없었다. 기업경영 면에서는 기업가치 제고를 위한 최적 헤징전략이 존재하며, 회사 실정에 맞는 헤징정책이 필요하다는 점을 발견하였다. 정책적으로는 환변동보험의 활성화 필요성을 제기하였다. 정보비대칭으로 인해 시장을 통한 환리스크 관리가 쉽지 않은 중소수출기업들이 환변동보험을 보다 쉽고 공정하게 활용할 수 있어야 한다.

• 한국수자원학회논문집
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• 제35권5호
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• pp.501-510
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• 2002

가뭄상황 또는 가뭄이 임박한 상황에서의 저수지 운영은 수요관리개념(단계별 급수)에서의 운영률을 필요로 한다. 본 연구는 저수지 갈수대응 차원에서 수문상황에 따른 단계별 방류량 감소를 고려할 수 있는 heding 효과를 고려한 단일 저수지 운영률 개발을 목표로 하였다. hedging 효과를 고려한 최적운영률 결정에는 혼합정수계획기법이 적용되었으며, 정식화단계에는 Shih 등(1994)의 hedging효과를 고려한 운영률을 개선하여 정식화 요소에 Hashimoto 등(1982)의 위험도 평가기준을 포함시켰다. 또한 hedging항의 비선형 해석을 수행하기 위하여 축차 선형계획기법을 도입ㆍ정식화에 적용하였다. 본 hedging운영률의 적용결과 대청다목적댐에 대하여 hedging 매개변수론 산정하였으며, 이를 통하여 각 월별 갈수대응 제한공급 시점 저수량(trigger volume)을 산정할 수 있었다.

• 한국경영과학회지
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• 제29권2호
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• pp.45-57
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• 2004

The purpose of this paper is studying the valuation of option prices in Incomplete markets. A market is said to be incomplete if the given traded assets are insufficient to hedge a contingent claim. This situation occurs, for example, when the underlying stock process follows jump-diffusion processes. Due to the jump part, it is impossible to construct a hedging portfolio with stocks and riskless assets. Contrary to the case of a complete market in which only one equivalent martingale measure exists, there are infinite numbers of equivalent martingale measures in an incomplete market. Our research here is focusing on risk minimizing hedging strategy and its associated minimal martingale measure under the jump-diffusion processes. Based on this risk minimizing hedging strategy, we characterize the dynamics of a risky asset and derive the valuation formula for an option price. The main contribution of this paper is to obtain an analytical formula for a European option price under the jump-diffusion processes using the minimal martingale measure.

• 한국산학기술학회논문지
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• 제13권3호
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• pp.1091-1098
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• 2012

최근 주식 워런트 증권(ELW)의 시장 규모가 급격하게 증가하면서 ELW를 발행한 금융기관들에는 리스크 관리 측면에서 효율적인 헤징 방안에 대한 필요성이 대두되고 있다. 본 연구는 인공신경망 학습 기법을 이용하여 ELW를 헤징하는 데 소요되는 비용을 최소화하는 방안을 제시하고자 하며, 기초자산의 현재가격, 변동성, 무위험이자율, 만기 등의 시장 상황 변화에 따른 다양한 시나리오에 대한 실험을 통해 본 연구에서 제시하는 방법론의 성능을 기존의 동적 델타 헤징 방법론과 비교 실험하였다. 그 결과 만기 행사가 안 된 상품의 경우 본 연구에서 제시하는 헤징 방법론이 동적 델타 헤징에 비해 최종 비용이 약 250% 이상 개선되었으며, 행사한 상품은 최종 비용에 있어서 약 25%의 개선 율을 보이는 것을 알 수 있었다.