The Performance of Alternative Exchange Rate Regimes and their Countries' Condition: Matching Analysis and Selection Model Building

Data Mining Workshops(2012)

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摘要
There is much discussion on the performance and selection of exchange rate regimes, and it is still in controversy. For the failure in the works, we collect more data including recent years and removing the periods of the currency crisis, then analyze the matching relationship between the exchange rate regimes and the condition of countries in the exhaustive CHAID decision tree, and build the exchange rate regime selection model in the exhaustive prune neural network. The conclusion shows the good performance of exchange rate regimes need different condition of countries to match, especially the integrate effect of condition factors is more important, then we build the exchange rate regime selection model in the exhaustive prune neural network, and the comparison and robust testing shows it is effective.
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neural network,exchange rate regime selection,alternative exchange rate regimes,exhaustive prune neural network,condition factor,exhaustive chaid decision tree,learning (artificial intelligence),country condition factors,exchange rates,matching analysis,currency crisis period removal,different condition,exchange rate regime selection model,match,exchange rate regime performance model,selection,good performance,exchange rate regime,recent year,matching relationship analysis,matching relationship,data collection,decision trees,performance,neural nets,currency crisis,selection model building,learning artificial intelligence
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