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Evaluating density forecasts with an application to stock market returns

Raaij, Gabriela de; Raunig, Burkhard - 2002

Persistent link: https://www.econbiz.de/10001650402

Vector autoregression models with skewness and heavy tails

Karlsson, Sune; Mazur, Stepan; Nguyen, Hoang - 2021

Persistent link: https://www.econbiz.de/10012604814

Bayesian predictive distributions of oil returns using mixed data sampling volatility models

Virbickaite, Audrone; Nguyen, Hoang; Minh-Ngoc Tran - 2023

This study explores the benefits of incorporating fat-tailed innovations, asymmetric volatility response, and an … extended information set into crude oil return modeling and forecasting. To this end, we utilize standard volatility models … Stochastic Volatility (SV), along with Mixed Data Sampling (MIDAS) regressions, which enable us to incorporate the impacts of …

Persistent link: https://www.econbiz.de/10014252427

Forecasting value-at-risk using block structure multivariate stochastic volatility models

Asai, Manabu; Caporin, Massimiliano; McAleer, Michael - 2012 - Rev.

Persistent link: https://www.econbiz.de/10009562985

Size and value anomalies under regime shifts

Guidolin, Massimo (contributor); … - 2005

"This paper finds strong evidence of time-variations in the joint distribution of returns on a stock market portfolio and portfolios tracking size--and value effects. Mean returns, volatilities and correlations between these equity portfolios are found to be driven by underlying regimes that...