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Financial Management of Foreign Exchange
Bernard A. Lietaer
其他書名
An Operational Technique to Reduce Risk
出版M.I.T. Press, 1971
主題Business & Economics / Corporate Finance / GeneralBusiness & Economics / Foreign ExchangeBusiness & Economics / International / General
ISBN02621203999780262120395
URLhttp://books.google.com.hk/books?id=TpMvAQAAIAAJ&hl=&source=gbs_api
註釋Foreign exchange risk is a major problem for most large international corporations. This book describes one of the first applications of management science to the field of international finance: the development of an operational technique to determine international financing and hedging strategies. A computerized model determines such strategies with explicit trade-off between costs and risks. The financial manager then chooses the specific strategy that best fits his own risk preferences. Different types of international financial transactions are handled: loans, forward exchange contracts, swaps, bond investments, and repatriations of profits. The types of foreign exchange risks that can be handled by the model include devaluations and revaluations of foreign currencies under the present monetary system. The model has also been adapted to other potential monetary systems such as floating exchanges, crawling pegs, and wider bands. In his introduction the author says: "The effectiveness of the method has been tested under actual conditions. Over a recent 16-month period, financing and hedging against devaluation of Brazilian cruzeiros cost one major U.S. corporation $1.6 million. It was subsequently shown that had the treasurer been guided by optimal solutions arrived at by the computerized technique he could have reduced the costs to $275,000, a saving of 83%. Improvements on current practices can thus be measured precisely with this technique." The book provides all the preliminary facts and concepts necessary to understand the problem and the theoretical model before presenting the model itself. A case study of a hypothetical Ace International Company shows how "real-life" financial transactions and operation constraints can be handled by the model, and how it may be extended by refining some assumptions and eliminating some simplifications. Information requirements for the technique are expressed in financial terms, and the data are available in most information systems of large international corporations. The mathematics employed is simple algebra, basic probability, and statistical decision theory.