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Wealth, volume and stock market volatility: case of Hong Kong (1993-2001)

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  • Matthew Li

Abstract

This article attempts to answer the question of whether the gain and loss in property market speculations and rate of information flow play a significant role in stock market volatility in Hong Kong. To test for our wealth-volume-volatility hypothesis, two different measures of volatility: absolute (absolute value of SD from mean with monthly dimension) and conditional (EGARCH) are used and results are compared. In both measures, we find evidence of a statistical presence of a wealth effect on stock market volatility, particularly in the investment of luxury class of property in Hong Kong. To account for this result, we apply the prospect theory, house money effect and the newly developed conditional confidence theory. Although we fail to establish a volume-volatility relationship in our estimation, we offer additional dimensions to the explanation of our observation.

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  • Matthew Li, 2007. "Wealth, volume and stock market volatility: case of Hong Kong (1993-2001)," Applied Economics, Taylor & Francis Journals, vol. 39(15), pages 1937-1953.
    • Handle: RePEc:taf:applec:v:39:y:2007:i:15:p:1937-1953
    DOI: 10.1080/00036840600707019
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    2. Wei Liu & Bruce Morley, 2009. "Volatility Forecasting in the Hang Seng Index using the GARCH Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 16(1), pages 51-63, March.
    3. J. -H. Chen & C. -Y. Huang, 2010. "An analysis of the spillover effects of exchange-traded funds," Applied Economics, Taylor & Francis Journals, vol. 42(9), pages 1155-1168.
    4. Ming-Yuan Leon Li & Chun-Nan Chen, 2010. "Examining the interrelation dynamics between option and stock markets using the Markov-switching vector error correction model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(7), pages 1173-1191.
    5. Xiaoqing Fu & Matthew C. Li & Philip Molyneux, 2021. "Credit default swap spreads: market conditions, firm performance, and the impact of the 2007–2009 financial crisis," Empirical Economics, Springer, vol. 60(5), pages 2203-2225, May.
    6. Claudeci Da Silva & Hugo Agudelo Murillo & Joaquim Miguel Couto, 2014. "Early Warning Systems: Análise De Ummodelo Probit De Contágio De Crise Dos Estados Unidos Para O Brasil(2000-2010)," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 110, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

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