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    Title: 探究市場波動度資訊在技術分析中的價值
    The Informational Role of Market Volatility in Technical Analysis
    Authors: 莊珮玲
    Contributors: 郭炳伸
    林信助

    莊珮玲
    Keywords: 市場波動度
    技術分析
    Market Volatility
    Technical Analysis
    Date: 2012
    Issue Date: 2014-05-01 15:20:02 (UTC+8)
    Abstract: The theme of this thesis seeks to explore the value of information of market volatility in technical analysis. In the literature, the technical analysis primarily involves the use of the information of past prices and/or volumes to predict future price movements in financial assets, yet little is known about whether there exists other information that is valuable to improve the predictability of technical analysis. The possible relation between volatility and profitability of technical analysis mentioned in some studies drives us to investigate whether the information of market volatility within the framework of the technical analysis can improve our understanding toward the market price movements.

    1.Does Market Volatility Improve Profitability of Technical Analysis?

    This chapter first studies whether the information of market volatility is capable of yielding higher profitability. Specifically, we compare the performance of a Variable Moving Average (VMA) rule, in which market volatility plays an important role, with five other popular trading rules. When applied to the Dow Jones Industrial Average index, the Superior Predictive Ability test by Hansen (2005) shows that the VMA rule outperforms other rules with higher profitability. Second, to further investigate the origin of superior profitability, we conduct the test of Cumby and Modest (1987), and find that the VMA rule does enjoy better market timing ability. Third, we explore whether the VMA rule has differential performance in different market conditions. The results show that the market timing ability of the best VMA rule is asymmetric in bull and bear markets, and the best VMA rule outperforms the Moving Average (MA) rule and the Momentum Strategies in Volume (MSV) rule both in bull and bear markets, particular in bear markets.

    2.Exploring the Information Content of Market Volatility in Technical Analysis

    In this chapter, we study how market volatility information affects trading signals generated from the technical analysis. Through the use of the time-varying-transition-probability (TVTP) Markov-switching model, we find that the increase of market volatility leads to a higher probability of signals generated from the VMA rule. Moreover, such an effect is asymmetric in bull and bear markets. This chapter also reexamines the value of market volatility in the simple MA rule by comparing the trading signals produced from the Fixed-transition-probability (FTP) and the TVTP Markov-switching model. Our results show that the time to enter or exit the market affected by market volatility information will benefit investors with higher profit.
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    Description: 博士
    國立政治大學
    國際經營與貿易研究所
    95351503
    101
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0095351503
    Data Type: thesis
    Appears in Collections:[國際經營與貿易學系 ] 學位論文

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