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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...
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Inflation expectation is acknowledged to be an important indicator for policy makers and financial investors. To … capture a more accurate real-time estimate of inflation expectation on the basis of financial markets, we propose an arbitrage …-free model across different countries in a multi-maturity term structure, where we first estimate inflation expectation by …
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In recent years support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a moving...
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