期刊論文

學年 93
學期 1
出版(發表)日期 2004-09-01
作品名稱 Financial Innovation and Divisia Money in Taiwan: Comparative Evidence from Neural Network and Vector Error Correction Forecasting Models
作品名稱(其他語言)
著者 池秉聰; Binner, J.; Gazely, A.; Chen, S. H.
單位 淡江大學產業經濟學系
出版者
著錄名稱、卷期、頁數 Contemporary Economic Policy 22(2), pp.213-224
摘要 In this article a Divisia monetary index is constructed for the Taiwan economy, and its inflation forecasting potential is compared with that of its traditional simple sum counterpart. The Divisia index is adjusted in two ways to allow for the financial liberalization that Taiwan has experienced since the 1970s. The powerful artificial intelligence technique of neural networks is used and is found to beat the conventional econometric techniques in a simple inflation forecasting experiment. The preferred inflation forecasting model is achieved using networks that employ a Divisia M2 measure of money that has been adjusted to incorporate a learning mechanism to allow individuals to gradually alter their perceptions of the increased productivity of money. The explanatory power of the two innovation-adjusted Divisia aggregates dominates that of the simple sum counterpart in the majority of cases. (JEL C4, E4, E5)
關鍵字
語言 en_US
ISSN
期刊性質 國外
收錄於 SSCI
產學合作
通訊作者
審稿制度
國別 TWN
公開徵稿
出版型式 ,電子版
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/59792 )

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