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Author: Shi Wei
Publisher:
ISBN: 9780549126591
Category :
Languages : en
Pages : 114
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Book Description
This dissertation consists of three papers on risk management with empirical applications for commodity markets. The first two papers analyze selective hedging, where risk managers have views on future market conditions and sometimes hedge selectively based on these views. I develop two Bayesian optimal hedging models based on the Bayesian portfolio optimization framework. The Bayesian approach is chosen because it jointly considers subjective views and parameter estimation risk. The first paper considers only subjective views and estimation risk regarding the expectation vector of asset returns, while the second paper extends the framework to the covariance matrix of asset returns. Numerical examples in these studies show that subjective views can have a substantial impact on risk managers' hedging decisions and that the impact is most evident when the hedger speculates on market price direction and/or is pessimistic about the effectiveness of hedging, i.e., a breakdown in the correlation among different markets. Overall, the Bayesian optimal hedging models not only help explain the large cross-sectional and time-series variation in hedging positions often observed in practice, but also provide risk managers with a theoretically intuitive yet quantitatively rigorous tool to blend their views on market conditions with a "market-wide" or "firm-wide" consensus in determining optimal hedging positions. The third paper estimates the cost (i.e., risk premium) of pre-harvest forward contracting for wheat in Illinois and Kansas. Given the similarities between forward and futures markets, regression models used for testing the risk premium hypothesis in futures markets are applied to forward markets. Cost is estimated for both unconditional and conditional levels. The empirical results show that the average cost of forward contracting is higher than that of futures hedging in both states and cost varies systematically in relation to the level and volatility of forward prices.
Author: Shi Wei
Publisher:
ISBN: 9780549126591
Category :
Languages : en
Pages : 114
Get Book Here
Book Description
This dissertation consists of three papers on risk management with empirical applications for commodity markets. The first two papers analyze selective hedging, where risk managers have views on future market conditions and sometimes hedge selectively based on these views. I develop two Bayesian optimal hedging models based on the Bayesian portfolio optimization framework. The Bayesian approach is chosen because it jointly considers subjective views and parameter estimation risk. The first paper considers only subjective views and estimation risk regarding the expectation vector of asset returns, while the second paper extends the framework to the covariance matrix of asset returns. Numerical examples in these studies show that subjective views can have a substantial impact on risk managers' hedging decisions and that the impact is most evident when the hedger speculates on market price direction and/or is pessimistic about the effectiveness of hedging, i.e., a breakdown in the correlation among different markets. Overall, the Bayesian optimal hedging models not only help explain the large cross-sectional and time-series variation in hedging positions often observed in practice, but also provide risk managers with a theoretically intuitive yet quantitatively rigorous tool to blend their views on market conditions with a "market-wide" or "firm-wide" consensus in determining optimal hedging positions. The third paper estimates the cost (i.e., risk premium) of pre-harvest forward contracting for wheat in Illinois and Kansas. Given the similarities between forward and futures markets, regression models used for testing the risk premium hypothesis in futures markets are applied to forward markets. Cost is estimated for both unconditional and conditional levels. The empirical results show that the average cost of forward contracting is higher than that of futures hedging in both states and cost varies systematically in relation to the level and volatility of forward prices.
Author: Ge Zhao
Publisher:
ISBN:
Category : Commodity exchanges
Languages : en
Pages : 226
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Book Description
Author: Qiang Zhang
Publisher:
ISBN:
Category : Commodity exchanges
Languages : en
Pages : 308
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Book Description
Author: Geoffrey Poitras
Publisher: Routledge
ISBN: 1136262601
Category : Business & Economics
Languages : en
Pages : 426
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Book Description
Commodity Risk Management goes beyond just an introductory treatment of derivative securities, dealing with more advanced topics and approaching the subject matter from a unique perspective. At its core lies the concept that commodity risk management decisions require an in-depth understanding of speculative strategies, and vice versa. The book offers readers a unified treatment of important concepts and techniques that are useful in applying derivative securities in the management of risk in commodity markets. While some of these techniques are well known and fairly common, Poitras offers applications to specific situations and links to speculative trading strategies - extensions of the material that not only are hard to come by, but helpful to both the academic and the practitioner. The book is divided into three parts. The first part deals with the general framework for commodity risk management, the second part focuses on the use of derivative security contracts in commodity risk management, and the third part deals with applications to three specific situations. As a textbook, this book is designed to appeal to classes at a senior undergraduate/MBA/MA levelof training in Finance, financial economics, actuarial science, management science, agriculturaleconomics and accounting. There will also be interest for the book as: a monograph for research libraries, a handbook for individuals working in the commodity risk management industry, and a guidebook for those in the general public interested in topics like farm risk management or the assessment of hedging practices of publicly-traded commodity producers.
Author: Panayotis Nicholas Varangis
Publisher:
ISBN:
Category :
Languages : en
Pages : 216
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Book Description
Author: Mathias Gerner
Publisher:
ISBN:
Category :
Languages : en
Pages : 115
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Book Description
Author: Marko Pekka Lehtimäki
Publisher:
ISBN:
Category : Commodity exchanges
Languages : en
Pages : 294
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Book Description
Author: Sihong Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Na Jin
Publisher:
ISBN:
Category :
Languages : en
Pages : 97
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Book Description
Author: Ying Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 118
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Book Description
Funding risk, which caused the $1.3 billion derivatives-related loss at MG Refining & Marketing, Inc. in 1993, has long been overlooked in the risk management literature. The key to understanding funding risk is that, as futures hedging practice requires substantial infusions of cash to meet variation margin calls, the maximum margin required may occur well before the expiration of the futures contract, but must be met in order to maintain the futures positions. This paper approaches the question of how to properly measure the "funding risk" of commodity futures positions by estimating a CD-Vine copula model for the dependence of corn, soybean and wheat futures at multiple forecast intervals, using Harrison’s method and the Extreme Value Theory to calibrate the distribution of the maximum. This is the first attempt in the literature to model the extreme prices of futures contracts over a given time period in an agricultural commodity portfolio context. The adoption of the recently-developed CD-Vine copula model allows one to model the dependence structure in a more flexible manner than the previous standard multivariate models based on Gaussian or Student’s t distributions.
