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The correlation between stock markets and interest rates has been discussed in numerous studies in the past, with … which allow for time-variability and regime changes in correlation. All estimated models allowing for timevarying … correlation complement each other in identifying time-varying patterns found in the (co-)movement between the variables …
Persistent link: https://www.econbiz.de/10009625556
This paper analyses the forecasting performance of monetary policy reaction functions using U.S. Federal Reserve's Greenbook real-time data. The results indicate that artificial neural networks are able to predict the nominal interest rate better than linear and nonlinearTaylor rule models as...
Persistent link: https://www.econbiz.de/10012256503
results show that by considering time-varying return and volatility spillovers when calculating the risk-minimising portfolio …
Persistent link: https://www.econbiz.de/10011663407
forecast errors to estimate measures of forecast uncertainty. This work addresses the question how the latter estimation can be … quantities. It turns out that the SUR estimator of forecast uncertainty tends to deliver large efficiency gains compared to the …
Persistent link: https://www.econbiz.de/10010465566
concerning forecast uncertainty in a new theoretical framework that focuses on the mean and variance of each density forecast to … that disagreement has no predictive content for ex-post forecast uncertainty under conditions which can be empirically …
Persistent link: https://www.econbiz.de/10012054835
uncertainty in an analysis of these policies. We model FG as an anticipated temporary interest rate peg. The degree of parameter … uncertainty is considerable and increasing in the length of FG. The probability of being able to reset prices and wages is the … most important factor driving uncertainty about inflation. In contrast, variations in financial intermediaries' net worth …
Persistent link: https://www.econbiz.de/10011846905
Virtually each seasonal adjustment software includes an ensemble of seasonality tests for assessing whether a given time series is in fact a candidate for seasonal adjustment. However, such tests are certain to produce either the same resultor conflicting results, raising the question if there...
Persistent link: https://www.econbiz.de/10012301212
-variations in the relationship between systematic risk factors and corporate bond spreads. First, we apply Bayesian model averaging … to a battery of candidate variables for determining meaningful systematic risk factors. Second, Markov switching … market conditions, on the other. Our evidence for market indices of euro-denominated bonds suggests that systematic risk …
Persistent link: https://www.econbiz.de/10011855295
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
The Basel credit-to-GDP gap is the single most popular measure of excessive credit growth and the financial cycle in general. It is based, however, on a purely statistical understanding of excessiveness: Growth is excessive if the credit-to-GDP ratio (i.e. the ratio of credit to nominal GDP) is...
Persistent link: https://www.econbiz.de/10015053486