Risk Assessment and Decision-Making of a Listed Enterprise’s L/C Settlement Based on Fuzzy Probability and Bayesian Game Theory
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초록
Letter of Credit (L/C) is currently a very popular international settlement method frequently used ininternational trade processes amongst countries around the globe. Compared with other international settlementmethods, however, L/C has some obvious shortcomings. Firstly, it is not easy to use due to the sophisticatedprocesses its usage involves. Secondly, it is sometimes accompanied by a few risks and some uncertainty. Thus,highly efficient methods need to be used to assess and control these risks. To begin with, FAHP and KMVmethods are used to resolve the problem of incomplete information associated with L/C and then, on this basis,Bayesian game theory is used in order to make more scientific and reasonable decisions with respect tointernational trade.
Abstract
Letter of Credit (L/C) is currently a very popular international settlement method frequently used ininternational trade processes amongst countries around the globe. Compared with other international settlementmethods, however, L/C has some obvious shortcomings. Firstly, it is not easy to use due to the sophisticatedprocesses its usage involves. Secondly, it is sometimes accompanied by a few risks and some uncertainty. Thus,highly efficient methods need to be used to assess and control these risks. To begin with, FAHP and KMVmethods are used to resolve the problem of incomplete information associated with L/C and then, on this basis,Bayesian game theory is used in order to make more scientific and reasonable decisions with respect tointernational trade.
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