We apply the approach of [5] by examining whether the portfolios based on the trend-following strategy delivers abnormal returns. Sorted by volatility in previous year, portfolios are traded by following moving average timing strategy to examine their investment performance within the sample period from 1996-2011 for companies listed in the Taiwan stock market. We find that the moving average timing strategy outperforms the buy-and-hold strategy. The CAPM and the Fama-French three-factor models can explain the abnormal returns of the moving average timing strategy. Furthermore, the performance 10-daymoving average timing strategy outperforms other timing strategies based on 20-, 50-, 100- and 200-day moving average across volatility quintiles. That means higher volatility quintile portfolios with 10-day moving average timing strategy tend to have better performance than those portfolios with longer days of moving average timing strategy.
机构:
Fuzhou Univ Int Studies & Trade, Sch Finance & Accounting, 28 Yuhuan Rd, Fuzhou, Fujian, Peoples R ChinaFuzhou Univ Int Studies & Trade, Sch Finance & Accounting, 28 Yuhuan Rd, Fuzhou, Fujian, Peoples R China
Hsu, Ching-Chi
Wei, An-Pin
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机构:
Sun Yat Sen Univ, Int Sch Business & Finance, Zhuhai City 519082, Guangdong, Peoples R ChinaFuzhou Univ Int Studies & Trade, Sch Finance & Accounting, 28 Yuhuan Rd, Fuzhou, Fujian, Peoples R China
Wei, An-Pin
Chen, Miao-Ling
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机构:
Natl Sun Yat Sen Univ, Dept Finance, 70 Lien Hai Rd, Kaohsiung 804, TaiwanFuzhou Univ Int Studies & Trade, Sch Finance & Accounting, 28 Yuhuan Rd, Fuzhou, Fujian, Peoples R China
机构:
Multimedia Univ, Fac Comp & Informat, Res Cluster Computat Sci, Cyberjaya Selangor 63100, MalaysiaMultimedia Univ, Fac Comp & Informat, Res Cluster Computat Sci, Cyberjaya Selangor 63100, Malaysia
机构:
Xiamen Univ, Dept Finance, Xiamen 361005, Peoples R ChinaXiamen Univ, Dept Finance, Xiamen 361005, Peoples R China
Lin, Hai
PROCEEDINGS OF FIRST INTERNATIONAL CONFERENCE OF MODELLING AND SIMULATION, VOL IV: MODELLING AND SIMULATION IN BUSINESS, MANAGEMENT, ECONOMIC AND FINANCE,
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