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The severity function approach (abbreviated SFA) is a method of selecting adverse scenarios from a multivariate density. It requires the scenario user (e.g. an agency that runs banking sector stress tests) to specify a "severity function", which maps candidate scenarios into a scalar severity...
Persistent link: https://www.econbiz.de/10011755965
I propose a Bayesian quantile VAR to identify and assess the impact of uncertainty and certainty shocks, unifying Bloom's (2009) two identification steps into one. I find that an uncertainty shock widens the conditional distribution of future real economic activity growth, in line with a risk...
Persistent link: https://www.econbiz.de/10012180723
To simultaneously consider mixed-frequency time series, their joint dynamics, and possible structural changes, we introduce a time-varying parameter mixed-frequency VAR. To keep our approach from becoming too complex, we implement time variation parsimoniously: only the intercepts and a common...
Persistent link: https://www.econbiz.de/10011903709
Empirical evidence indicates that high oil price volatility has a dampening effect on output in countries that import … of commodity price volatility in commodity exporting countries accounting for both oil and non-oil commodities. To that … significant negative impact of price volatility on real output for oil exporters. Our results for exporters of other commodities …
Persistent link: https://www.econbiz.de/10011346638
The evolution of the yields of different maturities is related and can be described by a reduced number of commom latent factors. Multifactor interest rate models of the finance literature, common factor models of the time series literature and others use this property. Each model has advantages...
Persistent link: https://www.econbiz.de/10012053243
The linear pool is the most popular method for combining density forecasts. We analyze the linear pool's implications concerning forecast uncertainty in a new theoretical framework that focuses on the mean and variance of each density forecast to be combined. Our results show that, if the...
Persistent link: https://www.econbiz.de/10012054835
Recent research has found that macroeconomic survey forecasts of uncertainty exhibit several deficiencies, such as horizon-dependent biases and lower accuracy than simple unconditional uncertainty forecasts. We examine the inflation uncertainty forecasts from the Bank of England, the Banco...
Persistent link: https://www.econbiz.de/10011962843
of high volatility compared to periods of low volatility, using a regime-switching vector autoregression. The lower … that is weaker in high volatility periods. To rationalize our robust empirical results, we use a macroeconomic model in … volatility of aggregate shocks. In low volatility periods, banks lever up, which makes their balance sheets more sensitive to …
Persistent link: https://www.econbiz.de/10011564503
framework is a bivariate volatility model, where volatility spillovers of either positive or negative sign are allowed for. Our … countries. Regarding the volatility spillovers, such spillovers from bond returns to those of stocks are stronger than the other … results show that by considering time-varying return and volatility spillovers when calculating the risk-minimising portfolio …
Persistent link: https://www.econbiz.de/10011663407
Recently, several institutions have increased their forecast horizons, and many institutions rely on their past forecast errors to estimate measures of forecast uncertainty. This work addresses the question how the latter estimation can be accomplished if there are only very few errors available...
Persistent link: https://www.econbiz.de/10010465566