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An efficient sequential learning algorithm in regime-switching environments

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Publication:2697041
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DOI10.1515/snde-2018-0016OpenAlexW2901979800MaRDI QIDQ2697041

Sunhyung Lee, Jae-ho Kim

Publication date: 17 April 2023

Published in: Studies in Nonlinear Dynamics and Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/snde-2018-0016


zbMATH Keywords

particle filtersparameter learningvolatility modelsregime switching modelssequential Monte Carlo estimation


Mathematics Subject Classification ID

Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)




Cites Work

  • Unnamed Item
  • Breaks and persistency: macroeconomic causes of stock market volatility
  • Particle learning and smoothing
  • Simulation-based sequential analysis of Markov switching stochastic volatility models
  • Estimation and comparison of multiple change-point models
  • Dynamic linear models with Markov-switching
  • Regime switching in foreign exchange rates: Evidence from currency option prices
  • Particle filters and Bayesian inference in financial econometrics
  • Conditional Heteroskedasticity in Asset Returns: A New Approach
  • Forecasting Stock Market Volatility with Regime-Switching GARCH Models
  • Filtering via Simulation: Auxiliary Particle Filters
  • Bayes Factors
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