Results 41 to 50 of about 112,046 (197)
Statistical Theory and Related Fields, 2020 This paper is devoted to study the proportional reinsurance/new business and investment problem under the mean-variance criterion in a continuous-time setting.
Liming Zhang, Rongming Wang, Jiaqin Wei
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Structural vector autoregressions with Markov switching [PDF]
Journal of Economic Dynamics and Control, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
LUETKEPOHL, Helmut +2 more
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Understanding Markov-Switching Rational Expectations Models [PDF]
SSRN Electronic Journal, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Roger E.A. Farmer +2 more
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MathematicsRegime switching models have been widely studied for their ability to capture the dynamic behavior of time series data and are widely used in economic and financial data analysis.
Zhenni Tan, Yuehua Wu
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MARKOV SWITCHING AND THE TAYLOR PRINCIPLE [PDF]
Macroeconomic Dynamics, 2013 Early research on the Taylor rule typically divided the data exogenously into pre-Volcker and Volcker–Greenspan subsamples. We contribute to the recent trend of endogenizing changes in monetary policy by estimating a real-time forward-looking Taylor rule with endogenous Markov switching coefficients and variance.
Christian Murray +2 more
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Optimal Forecasts from Markov Switching Models [PDF]
Journal of Business & Economic Statistics, 2014 We derive forecasts for Markov switching models that are optimal in the MSFE sense by means of weighting observations. We provide analytic expressions of the weights conditional on the Markov states and conditional on state probabilities. This allows us to study the effect of uncertainty around states on forecasts.
Boot, Tom, Pick, Andreas
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Markov-switching decision trees [PDF]
AStA Advances in Statistical AnalysisAbstractDecision trees constitute a simple yet powerful and interpretable machine learning tool. While tree-based methods are designed only for cross-sectional data, we propose an approach that combines decision trees with time series modeling and thereby bridges the gap between machine learning and statistics.
Adam, Timo +2 more
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Perturbation Methods for Markov-Switching DSGE Models [PDF]
SSRN Electronic Journal, 2013 This paper develops a general perturbation methodology for constructing high-order approximations to the solutions of Markov-switching DSGE models. We introduce an important and practical idea of partitioning the Markov-switching parameter space so that a steady state is well de?ned.
Andrew T. Foerster +3 more
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Markov Switching Model for Financial Time Series [PDF]
Ovidius University Annals: Economic Sciences Series, 2021 Modeling financial time series is an important step for its forecast and risk evaluation when financial assets are involved. In this context, this article presents a Markov Switching Model for BET series recorded during the period Oct-2000 - Sept-2014 ...
Alina Barbulescu +1 more
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Optimal Control with Partially Observed Regime Switching: Discounted and Average Payoffs
Mathematics, 2022 We consider an optimal control problem with the discounted and average payoff. The reward rate (or cost rate) can be unbounded from above and below, and a Markovian switching stochastic differential equation gives the state variable dynamic.
Beatris Adriana Escobedo-Trujillo +3 more
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