Optimal Hedging Strategy for Risk Management on a Network PDF Download

Author: Tianjiao Gao
Publisher:
ISBN:
Category :
Languages : en
Pages : 39

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Book Description
In this paper, we derive and assess a framework in which a firm's financial environment is an integral part of its hedging decisions. In the framework, the characteristics of firms in the network and their interconnections affect the firm's risk management strategy through impact on contract cost and efficacy of protection. We apply the model to an investment fund's decision making problem for transferring equity risk to a set of banks and obtain its optimal hedging decision based on a risk-return tradeoff analysis. We find hedge costs greatly influence the fund's choice of counterparties for contract: the cost advantage of a counterparty would award it a dominant role in the magnitude of protection sought from the counterparty. In the a posteriori analysis, we evaluate the hedge efficacy in terms of the counterparties' ability to honor the hedge contract. We investigate counter-party risk by introducing network-caused default probability and recovery rate to our model. We find that the objective and measures used for corporate risk management decide the optimality of hedge contract in the a posteriori analysis. Firms focusing on minimizing variance of firm value might consider a small deviation from the a priori optimal strategy; while those focussed on tail risk tend to stay with the a priori optimal strategy.

Author: Oleg V. Bychuk
Publisher: John Wiley & Sons
ISBN: 111808537X
Category : Business & Economics
Languages : en
Pages : 322

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Book Description
Identify and understand the risks facing your portfolio, how to quantify them, and the best tools to hedge them This book scrutinizes the various risks confronting a portfolio, equips the reader with the tools necessary to identify and understand these risks, and discusses the best ways to hedge them. The book does not require a specialized mathematical foundation, and so will appeal to both the generalist and specialist alike. For the generalist, who may not have a deep knowledge of mathematics, the book illustrates, through the copious use of examples, how to identify risks that can sometimes be hidden, and provides practical examples of quantifying and hedging exposures. For the specialist, the authors provide a detailed discussion of the mathematical foundations of risk management, and draw on their experience of hedging complex multi-asset class portfolios, providing practical advice and insights. Provides a clear description of the risks faced by managers with equity, fixed income, commodity, credit and foreign exchange exposures Elaborates methods of quantifying these risks Discusses the various tools available for hedging, and how to choose optimal hedging instruments Illuminates hidden risks such as counterparty, operational, human behavior and model risks, and expounds the importance and instability of model assumptions, such as market correlations, and their attendant dangers Explains in clear yet effective terms the language of quantitative finance and enables a non-quantitative investment professional to communicate effectively with professional risk managers, "quants", clients and others Providing thorough coverage of asset modeling, hedging principles, hedging instruments, and practical portfolio management, Hedging Market Exposures helps portfolio managers, bankers, transactors and finance and accounting executives understand the risks their business faces and the ways to quantify and control them.

Author: Ying Qian
Publisher: World Bank Publications
ISBN:
Category : Commodity exchanges
Languages : en
Pages : 47

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Book Description
The optimal portfolio model for hedging commodity price and exchange rate risks is extended to nonstationary economic time series data. The new approach corrects the problem of unstable solutions often found with earlier models using economic time series that are nonstationary.

Author: Panos Kouvelis
Publisher: John Wiley & Sons
ISBN: 1118115791
Category : Business & Economics
Languages : en
Pages : 497

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Book Description
A comprehensive, one-stop reference for cutting-edge research in integrated risk management, modern applications, and best practices In the field of business, the ever-growing dependency on global supply chains has created new challenges that traditional risk management must be equipped to handle. Handbook of Integrated Risk Management in Global Supply Chains uses a multi-disciplinary approach to present an effective way to manage complex, diverse, and interconnected global supply chain risks. Contributions from leading academics and researchers provide an action-based framework that captures real issues, implementation challenges, and concepts emerging from industry studies.The handbook is divided into five parts: Foundations and Overview introduces risk management and discusses the impact of supply chain disruptions on corporate performance Integrated Risk Management: Operations and Finance Interface explores the joint use of operational and financial hedging of commodity price uncertainties Supply Chain Finance discusses financing alternatives and the role of financial services in procurement contracts; inventory management and capital structure; and bank financing of inventories Operational Risk Management Strategies outlines supply risks and challenges in decentralized supply chains, such as competition and misalignment of incentives between buyers and suppliers Industrial Applications presents examples and case studies that showcase the discussed methodologies Each topic's presentation includes an introduction, key theories, formulas, and applications. Discussions conclude with a summary of the main concepts, a real-world example, and professional insights into common challenges and best practices. Handbook of Integrated Risk Management in Global Supply Chains is an essential reference for academics and practitioners in the areas of supply chain management, global logistics, management science, and industrial engineering who gather, analyze, and draw results from data. The handbook is also a suitable supplement for operations research, risk management, and financial engineering courses at the upper-undergraduate and graduate levels.

Author: Laurent Condamin
Publisher: John Wiley & Sons
ISBN: 0470060433
Category : Business & Economics
Languages : en
Pages : 286

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Book Description
This book offers a practical answer for the non-mathematician to all the questions any businessman always wanted to ask about risk quantification, and never dare to ask. Enterprise-wide risk management (ERM) is a key issue for board of directors worldwide. Its proper implementation ensures transparent governance with all stakeholders’ interests integrated into the strategic equation. Furthermore, Risk quantification is the cornerstone of effective risk management,at the strategic and tactical level, covering finance as well as ethics considerations. Both downside and upside risks (threats & opportunities) must be assessed to select the most efficient risk control measures and to set up efficient risk financing mechanisms. Only thus will an optimum return on capital and a reliable protection against bankruptcy be ensured, i.e. long term sustainable development. Within the ERM framework, each individual operational entity is called upon to control its own risks, within the guidelines set up by the board of directors, whereas the risk financing strategy is developed and implemented at the corporate level to optimise the balance between threats and opportunities, systematic and non systematic risks. This book is designed to equip each board member, each executives and each field manager, with the tool box enabling them to quantify the risks within his/her jurisdiction to all the extend possible and thus make sound, rational and justifiable decisions, while recognising the limits of the exercise. Beyond traditional probability analysis, used since the 18th Century by the insurance community, it offers insight into new developments like Bayesian expert networks, Monte-Carlo simulation, etc. with practical illustrations on how to implement them within the three steps of risk management, diagnostic, treatment and audit. With a foreword by Catherine Veret and an introduction by Kevin Knight.

Author: Masaaki Fujii
Publisher:
ISBN:
Category :
Languages : en
Pages : 37

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Book Description
All the financial practitioners are working in incomplete markets full of unhedgeable risk-factors. Making the situation worse, they are only equipped with the imperfect information on the relevant processes. In addition to the market risk, fund and insurance managers have to be prepared for sudden and possibly contagious changes in the investment flows from their clients so that they can avoid the over- as well as under-hedging. In this work, the prices of securities, the occurrences of insured events and (possibly a network of) the investment flows are used to infer their drifts and intensities by a stochastic filtering technique. We utilize the inferred information to provide the optimal hedging strategy based on the mean-variance (or quadratic) risk criterion. A BSDE approach allows a systematic derivation of the optimal strategy, which is shown to be implementable by a set of simple ODEs and the standard Monte Carlo simulation. The presented framework may also be useful for manufactures and energy firms to install an efficient overlay of dynamic hedging by financial derivatives to minimize the costs.

Author: Jonathan Matthew Norvell
Publisher:
ISBN:
Category :
Languages : en
Pages : 258

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Book Description

Author: Patrick Cusatis
Publisher: McGraw Hill Professional
ISBN: 9780071454537
Category : Business & Economics
Languages : en
Pages : 396

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Book Description
Books on complex hedging instruments are often more confusing than the instruments themselves. Hedging Instruments & Risk Management brings clarity to the topic, giving money managers the straightforward knowledge they need to employ hedging tools and techniques in four key markets—equity, currency, fixed income, and mortgage. Using real-world data and examples, this high-level book shows practitioners how to develop a common set of mathematical and statistical tools for hedging in various markets and then outlines several hedging strategies with the historical performance of each.

Author: Francois Duc
Publisher: John Wiley & Sons
ISBN: 0470740795
Category : Business & Economics
Languages : en
Pages : 262

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Book Description
This book provides a cutting edge introduction to market risk management for Hedge Funds, Hedge Funds of Funds, and the numerous new indices and clones launching coming to market on a near daily basis. It will present the fundamentals of quantitative risk measures by analysing the range of Value-at-Risk (VaR) models used today, addressing the robustness of each model, and looking at new risk measures available to more effectively manage risk in a hedge fund portfolio. The book begins by analysing the current state of the hedge fund industry - at the ongoing institutionalisation of the market, and at its latest developments. It then moves on to examine the range of risks, risk controls, and risk management strategies currently employed by practitioners, and focuses on particular risks embedded in the more classic investment strategies such as Long/Short, Convertible Arbitrage, Fixed Income Arbitrage, Short selling and risk arbitrage. Addressed along side these are other risks common to hedge funds, including liquidity risk, leverage risk and counterparty risk. The book then moves on to examine more closely two models which provide the underpinning for market risk management in investment today - Style Value-at-Risk and Implicit Value-at-Risk. As well as full quantitative analysis and backtesting of each methodology, the authors go on to propose a new style model for style and implicit Var, complete with analysis, real life examples and backtesting. The authors then go on to discuss annualisation issues and risk return before moving on to propose a new model based on the authors own Best Choice Implicit VaR approach, incorporating quantitative analysis, market results and backtesting and also its potential for new hedge fund clone products. This book is the only guide to VaR for Hedge Funds and will prove to be an invaluable resource as we embark into an era of increasing volatility and uncertainty.

Author: Slobodan Jovanovic
Publisher: Harriman House Limited
ISBN: 0857193295
Category : Business & Economics
Languages : en
Pages : 454

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Book Description
This book is an invaluable resource of hedging case studies and examples, explaining with clarity and coherence how various instruments - such as futures and options - are used in different market scenarios to contain, control and eliminate price risk exposure. Its core objective is to elucidate hedging transactions and provide a systematic, comprehensive view on hedge performance. When it comes to hedge strategies specifically, great effort has been employed to create new instruments and concepts that will prove to be superior to classic methods and interpretations. The concept of hedge patterns - introduced here - proves it is possible to tabulate a hedging strategy and interpret its use with diagrams, so each example is shown visually with the result of radical clarity. A compelling visual pattern is also attached to each case study to give you the ability to compare different solutions and apply a best-fit hedging strategy in real-world situations. A diverse range of hedging transactions showing the ultimate payoff profiles and performance metrics are included. These have been designed to achieve the ultimate goal - to convey the necessary skills to allow business and risk management teams to develop proper hedging mechanisms and apply them in practice.