Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/48588


Title: Financial Innovation and Divisia Monetary Indices in Taiwan:A Neural Network Approach
Authors: 陳樹衡
Chen,Shu-Heng
Keywords: Financial Innovation;Neural Networks;Divisia Money
Date: 2002-06
Issue Date: 2010-11-24 22:04:56 (UTC+8)
Abstract: In this paper a weighted index measure of money using the ‘Divisia’ formulation is constructed for the Taiwan economy and its inflation forecasting potential is compared with that of its traditional simple sum counterpart. This research extends an earlier study by Gazely and Binner by examining the theory that rapid financial innovation, particularly during the financial liberalization of the 1980s, has been responsible for the poor performance of conventional simple sum monetary aggregates. The Divisia index is adjusted in two ways to allow for the major financial innovations that Taiwan has experienced since the 1970s. The technique of neural networks is used to allow a completely flexible mapping of the variables and a greater variety of functional form than is currently achievable using conventional econometric techniques. Results suggest that superior tracking of inflation is possible for 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. Divisia measures of money appear to offer advantages over their simple sum counter parts as macroeconomic indicators.
Relation: European Journal of Finance,8(2),238-247
Data Type: article
DOI 連結: http://dx.doi.org/10.1080/13518470110071173
Appears in Collections:[經濟學系] 期刊論文

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