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different lexica sentiment variables. These are employed for an analysis of stock reactions: volatility, volume and returns. An … increased (negative) sentiment will influence volatility as well as volume. This influence is contingent on the lexical … produce stock reaction indicators, including volatility, detrended log trading volume and return? (ii) To which degree is …
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based quantile regression in order to determine an active set of portfolio elements with negative non-zero coefficients …Classical asset allocation methods have assumed that the distribution of asset returns is smooth, well behaved with …
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Recurrent Support Vector Regression for a Nonlinear ARMA Model with Applications to Forecasting Financial Returns … Abstract: Motivated by the recurrent Neural Networks, this paper proposes a recurrent Support Vector Regression (SVR) procedure … to forecast nonlinear ARMA model based simulated data and real data of financial returns. The forecasting ability of the …
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non-random and a random system. Unlike classical regressions, mean regression functions in the new model contain variance … 2003 to 2004. -- Non-random systems ; Random systems ; Semiparametric regression ; Variance built-in Mean …
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) model to examine to examine to examine to examine to examine to examine to examine various relations between stock returns … moments of risk for for predict redict ing stock returns. stock returns. stock returns. stock returns. The e The e vidence …
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As a function of strike and time to maturity the implied volatility estimation is a challenging task in financial econometrics. Dynamic Semiparametric Factor Models (DSFM) are a model class that allows for the estimation of the implied volatility surface (IVS) in a dynamic context, employing...
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