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The statistics of time varying cross-sectional information coefficients
Ding, Zhuanxin; Sun, Yixiao - In: The journal of asset management : a major new, … 24 (2023) 1, pp. 1-15
Persistent link: https://www.econbiz.de/10013556592
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Modeling volatility persistence of speculative returns : a new approach
Ding, Zhuanxin; Granger, C. W. J. - 1994
Persistent link: https://www.econbiz.de/10000892121
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Large scale conditional covariance matrix modeling, estimation and testing
Ding, Zhuanxin; Engle, Robert F. - In: Jingji-lunwen 29 (2001) 2, pp. 157-184
Persistent link: https://www.econbiz.de/10001652987
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Multi-Horizon Mean-Covariance Estimation for Serial Correlated Returns
Ding, Zhuanxin - 2019
Assume asset returns follow a VARMA_MARCH structure, this paper derives the proper multi-horizon mean and covariance matrix estimations that can be used as inputs to mean-variance optimization problem for investors with different horizons. The result is further extended to vector...
Persistent link: https://www.econbiz.de/10012862137
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Portfolio turnover when IC is time-varying
Ding, Zhuanxin; Martin, R. Douglas; Yang, Chaojun - In: The journal of asset management 21 (2020) 7, pp. 609-622
Persistent link: https://www.econbiz.de/10012421074
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Estimation of the long-run average relationship in nonstationary panel time series
Sun, Yixiao - 2003
Persistent link: https://www.econbiz.de/10001753311
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Robust trend inference with series variance estimator and testing-optimal smoothing parameter
Sun, Yixiao - In: Journal of econometrics 164 (2011) 2, pp. 345-366
Persistent link: https://www.econbiz.de/10009301901
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Let’s fix it : fixed- asymptotics versus small- asymptotics in heteroskedasticity and autocorrelation robust inference
Sun, Yixiao - In: Journal of econometrics 178 (2014) 1, pp. 659-677
Persistent link: https://www.econbiz.de/10010257366
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A heteroskedasticity and autocorrelation robust F test using an orthonormal series variance estimator
Sun, Yixiao - In: The econometrics journal 16 (2013) 1, pp. 1-26
Persistent link: https://www.econbiz.de/10009722516