DocumentCode
2965531
Title
Foreign exchange exposure-based strategy building for non-financial corporations
Author
Song, Wen ; Tsai, Min-Hsiu ; Watada, Junzo
Author_Institution
Grad. Sch. of Inf., Waseda Univ., Waseda, Japan
fYear
2009
fDate
8-11 Dec. 2009
Firstpage
1180
Lastpage
1184
Abstract
In the presence of deviations from parity conditions, the influence of foreign exchange rate variability beyond the range of financial companies only, and now represents to be an important source of risk for non-financial corporations. This research takes Japan as an example and examines how foreign currency movements affect Japanese manufacturing companies. From firm and industry perspectives, we find 16% of 65 sample companies and three out of six sub sectors of manufacturing industry experienced an economically significant effect from exposure to the U.S. Dollar, the Chinese Yuan, or the European Euro from January 2002 to December 2007. Based on the findings, we propose a hedging method using real options analysis and a binomial decision tree model as a strategy to mitigate the impact of exchange rate exposure, which illustrates that options theory can provide useful financial hedges by introducing adjustment costs or providing faster adjustment procedures.
Keywords
decision trees; exchange rates; Chinese Yuan; European Euro; Japanese manufacturing companies; U.S. Dollar; binomial decision tree model; foreign currency movements; foreign exchange exposure-based strategy building; foreign exchange rate variability; hedging method; non financial corporations; real options analysis; Costs; Decision making; Decision trees; Exchange rates; Financial management; Manufacturing industries; Power generation economics; Production systems; Risk analysis; Risk management; financial data mining; foreign exchange exposure; manufacturing industry; real options;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-4869-2
Electronic_ISBN
978-1-4244-4870-8
Type
conf
DOI
10.1109/IEEM.2009.5372981
Filename
5372981
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