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Autoregressive moving average model for matrix time series
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作者 shujin wu Ping Bi 《Statistical Theory and Related Fields》 CSCD 2023年第4期318-335,共18页
In the paper,the autoregressive moving average model for matrix time series(MARMA)is inves-tigated.The properties of the MARMA model are investigated by using the conditional least square estimation,the conditional ma... In the paper,the autoregressive moving average model for matrix time series(MARMA)is inves-tigated.The properties of the MARMA model are investigated by using the conditional least square estimation,the conditional maximum likelihood estimation,the projection theorem in Hilbert space and the decomposition technique of time series,which include necessary and suf-ficient conditions for stationarity and invertibility,model parameter estimation,model testing and model forecasting. 展开更多
关键词 Matrix time series autoregressive moving average model bilinear model statistical inference
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Analysis of Stock Splits Based on Risk Theory: Empirical Evidence from the Chinese Stock Markets
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作者 shujin wu Tong XU 《Journal of Systems Science and Information》 CSCD 2022年第1期19-34,共16页
The paper first analyzes price change due to stock splits in Chinese stock markets,which shows stock prices typically go up for stock splits.Then theoretical analyses based on risk theory are presented to explain the ... The paper first analyzes price change due to stock splits in Chinese stock markets,which shows stock prices typically go up for stock splits.Then theoretical analyses based on risk theory are presented to explain the reason,where the method comes from a new perspective and obtained theoretical conclusions show that stock splits typically make stock price go up if risk-compensation function is convex,and go down if risk-compensation function is concave.Stock prices typically go up for stock splits because risk-compensation functions are mainly convex.The obtained conclusions are consistent with the known results in the last three decades. 展开更多
关键词 stock split risk theory PRICE Chinese stock markets
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