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the program. The literature uses linear probability models and (Cox) proportional hazard models to predict duration … outcomes. These either focus on one threshold duration or impose proportionality. In this paper we propose a nonparametric …
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This paper proposes a new combined semiparametric estimator of the conditional variance that takes the product of a parametric estimator and a nonparametric estimator based on machine learning. A popular kernel-based machine learning algorithm, known as the kernel-regularized least squares...
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This paper introduces the Markov-Switching Multifractal Duration (MSMD) model by adapting the MSM stochastic volatility … model of Calvet and Fisher (2004) to the duration setting. Although the MSMD process is exponential ß-mixing as we show in …-memory duration models in an out-of-sample forecasting exercise based on price durations of three major foreign exchange futures …
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This paper introduces the Markov-Switching Multifractal Duration (MSMD) model by adapting the MSM stochastic volatility … model of Calvet and Fisher (2004) to the duration setting. Although the MSMD process is exponential� beta-mixing as we show …-memory duration models in an out-of-sample forecasting exercise based on price durations of three major foreign exchange futures …
Persistent link: https://www.econbiz.de/10012975128
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