Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/103056


Title: Kalman Filter and Predictor Formulation for Predicting the Price Signal and the Optimal Spacing Interval
Authors: 王春源
Wang, Chun-Yuan
Contributors: 經濟系
Date: 1991-09
Issue Date: 2016-10-20 11:51:09 (UTC+8)
Abstract: 本文目的是想藉由卡門濾淨與預測方法,來預測價格變動訊號,並提出一個一般化之預測公式。此外,我們也將探討預測之訊息增益與取樣區間長短之關係,由此,推導出最適之取樣區間。The purpose of this note is intended to propose a general formula for predicting the price signal by way of Kalman filter and predictor algorithm. Additionally, we will also explore the relationship between the predictor gain and the time interval of spacing samples, and thereby derive the optimal spacing interval.
Relation: 國立政治大學學報, 63, 473-490
Data Type: article
Appears in Collections:[第63期] 期刊論文

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