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Purpose – This study aims to use gray models to predict abnormal stock returns.Design/methodology/approach – Data are collected from listed companies in the Tehran Stock Exchange during 2005-2015. The analyses portray three models, namely, the gray model, the nonlinear gray Bernoulli model...
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-switching models, and forecast combination to predict the dynamics in the S&P 500. First, we aggregate the weekly information of 115 …
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We use a Panel Smooth Transition Regression (STR) model to study nonlinearities in the expectationformation process in the US stock market. To this end, we use data from the Livingston survey to investigate how the importance of regressive and extrapolative expectations fluctuates over time as...
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