Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/76701
題名: A fuzzy AprioriTid mining algorithm with reduced computational time
作者: Hong, T.-P.;Kuo, Chan-Sheng;Wang, S.-L.
貢獻者: 郭展盛
資管系
關鍵詞: exchange rate; financial market; price dynamics; stock market; Asia; Eurasia; Far East; Taiwan
日期: 十二月-2004
上傳時間: 20-七月-2015
摘要: This paper investigates the common volatility structure of stock and exchange rate markets of Taiwan. The two markets are often linked together and we are interested in knowing whether price or volume is a good proxy to pursue this issue. We claim that Taiwanese government interventions distort the timing of conventional price volatility clustering in the two markets. The unrestricted trading volumes reveal more information regarding the market than price. We find that common volatility does exist in the stock and exchange markets and this fact is uncovered more easily by using trading volume than by using prices.
關聯: Applied Soft Computing Journal, 5(1), 1-10
資料類型: article
DOI: http://dx.doi.org/10.1016/j.asoc.2004.03.009
Appears in Collections:期刊論文

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