For modelling mixed-frequency data with business cycle pattern we introduce the Markovswitching Mixed Data Sampling model with unrestricted lag polynomial (MS-U-MIDAS). Usually models of the MIDAS-class use lag polynomials of a specific function, which impose some structure on the weights of...

For modelling mixed-frequency data with a business cycle pattern, we introduce the Markov-switching Mixed Data Sampling model with unrestricted lag polynomial (MS-U-MIDAS). Usually, models of the MIDAS-class use lag polynomials of a specific function which impose some structure on the weights of...

This paper investigates the response of stock market volatility to a monetary policy shock using a structural factor-augmented Bayesian vector autoregressive (FAVAR) model. We construct a monthly dataset of realized volatilities of the constituents of the S&P500 index and extract volatility...