Non-Linearity in Econometric Modeling, Vol. 1

Importance of Filters in Data Processing Pipeline discusses about the challenges of dealing with real-world data and application of Kalman Filter to improve the reliability and accuracy of models.- Volatility Modeling discusses the common problem with volatility or variance and covers how volatility can be computed and modeled.- Hybrid Volatility Modeling discusses while GARCH volatility models remain valuable, a combination of GARCH and Neural Networks can offer better output considering the availability of data, computational power, and algorithmic advancements.- Dynamic Volatility and Option Valuation provides a practical and theoretical framework for pricing and analyzing options, utilizing advanced volatility modeling techniques.- Markov Switching Models, Threshold Auto Regressive Models, and Smooth Transition Model discusses the application Markov Switching Auto Regressive Model (MSAR) and Smooth Transition Auto Regressive (STAR) Model.

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

• Economia estatística
• Gestão e técnicas de gestão
• Econometria
• Probabilidade e Estatística
• Finança das empresas
• Avaliação de riscos
• Teoria e filosofia económica
• Aprendizagem mecânica

econometrics;finance;financial modeling;risk management;economic time series data; econometric modeling techniques;Hybrid Volatility Modeling;Python