This paper proposes a new method based on threshold regression to test mutual fund market-timing abilities. The traditional Henriksson and Merton model is shown to represent only a special case within the proposed model. The potential bias of using the traditional model is demonstrated and it is argued that the proposed model provides more accurate inferences on the market-timing effects or mutual funds. The empirical results for a set of randomly-selected US mutual funds indicate the superior performance of the proposed method in detecting the market-timing ability.
机构:
Sun Yat Sen Univ, Dept Finance, Lingnan Coll, Guangzhou 510275, Guangdong, Peoples R ChinaSun Yat Sen Univ, Dept Finance, Lingnan Coll, Guangzhou 510275, Guangdong, Peoples R China
Zhou, Kaiguo
Wong, Michael C. S.
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City Univ Hong Kong, Dept Econ & Finance, Hong Kong, Hong Kong, Peoples R ChinaSun Yat Sen Univ, Dept Finance, Lingnan Coll, Guangzhou 510275, Guangdong, Peoples R China
机构:
Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R ChinaTongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
Ding, Jing
Jiang, Lei
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Tsinghua Univ, Sch Econ & Management, 00084, Beijing, Peoples R China
Kent State Univ, Ambassador Crawford Coll Business & Entrepreneursh, Kent, OH 44240 USATongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
Jiang, Lei
Liu, Xiaohui
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Jiangxi Univ Finance & Econ, Sch Stat, Nanchang 330013, Peoples R China
Jiangxi Univ Finance & Econ, Key Lab Data Sci Finance & Econ, Nanchang 330013, Peoples R ChinaTongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
Liu, Xiaohui
Peng, Liang
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Georgia State Univ, Dept Risk Management & Insurance, Atlanta, GA 30303 USATongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China