1. Picking funds in China.
- Author
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Zhang, Yu and Zhao, Mengxiang
- Abstract
• The fund confidence set (FCS) algorithm is applied to the Chinese mutual fund market. • Actively managed equity-based mutual funds from 2007 to 2020 in China were studied. • A four-factor model which better characterizes the Chinese market is identified. • An adaptive unscented Kalman filter is used to improve model performance. • The superior fund portfolios produce an average monthly excess return of up to 1.88 %. This study compiles data on actively managed mutual funds in China spanning from 2007 to 2020 to construct portfolios of superior funds using the Fund Confidence Set (FCS) algorithm. Time-varying alphas and betas are estimated using an adaptive unscented Kalman filter with maximum posterior and random weighting rather than the extended Kalman filter. Moreover, an exponential smoother is integrated into the FCS algorithm, leading to improvements in portfolios' performance. These two modifications to the FCS algorithm further enhance the performance of superior fund portfolios, producing an average monthly excess return of up to 1.88 %. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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