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It is a widely known fact that the intraday seasonality of trading intervals for financial transactions such as stocks is short at the beginning of business hours and long in the middle of the day. In this paper, we extend the stochastic conditional duration (SCD) model to capture the pattern of...
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this paper, we introduce the local linear scaling approximation (in short, LLSA), which is a nonlinear filtering algorithm …
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and other central banks. We overviewed the Stratonovich-Kalman-Bucy filtering algorithm theory and its numerous … algorithm in the state space interpolation model is used with the purpose to interpolate the real GDP by the US Federal Reserve … of state space methods with the Stratonovich-Kalman-Bucy filtering algorithm, focusing on the estimation of Gross …
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We present a forecasting algorithm based on support vector regression emphasizing the practical benefits of wavelets … for financial time series. We utilize an effective de-noising algorithm based on wavelets feasible under the assumption … that a systematic pattern plus random noise generate the data. The learning algorithm focuses solely on the decomposed time …
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computationally efficient filtering algorithm to estimate the nonlinear model. The algorithm is shown to be accurate in approximating …
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