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, the paper analyzes the returns correlation, serial correlation and heteroscedasticity on the NSE All-share Index, Banking … descriptive statistics, autocorrelation function (ACF) and Ljung-Box Q (LB-Q) statistics, as well as the autoregressive … conditional heteroscedasticity Lagrange multiplier (ARCHLM) techniques in conducting the empirical analysis. Descriptive …
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Both unconditional mixed-normal distributions and GARCH models with fat-tailed conditional distributions have been employed for modeling financial return data. We consider a mixed-normal distribution coupled with a GARCH-type structure which allows for conditional variance in each of the...
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High-beta stocks seem to be an asset pricing mystery involving puzzles that have been intensively discussed in the most recent finance literature (Christoffersen and Simutin, 2017; Moreira and Muir, 2017). This papers derives novel implications for pricing high-beta stocks in the presence of dynamic...
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This paper provides a theoretical explanation for the heteroscedasticity of asset returns. In line with existing … assumptions that investors behave according to Prospect Theory and are subject to mental accounting in a dynamic setting, we … analytically derive the unit-root versions of two of the best fitting heteroscedasticity models (EGARCH and TGARCH). The model is …
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