Showing 31 - 40 of 31,060
This paper documents that factors extracted from a large set of macroeconomic variables bear useful information for predicting monthly US excess stock returns and volatility over the period 1980-2005. Factor-augmented predictive regression models improve upon both benchmark models that only...
Persistent link: https://www.econbiz.de/10011382428
This paper is concerned with problem of variable selection and forecasting in the presence of parameter instability. There are a number of approaches proposed for forecasting in the presence of breaks, including the use of rolling windows or exponential down-weighting. However, these studies...
Persistent link: https://www.econbiz.de/10012258549
This paper investigates the usefulness, within the frameworks of the standard bridge model and the 'bridging with factors' approach, of a predictor selection procedure that builds on the elastic net algorithm. A pseudo-real time forecasting exercise is performed, in which estimates for Belgium's...
Persistent link: https://www.econbiz.de/10011584165
This paper documents that factors extracted from a large set of macroeconomic variables bear useful information for predicting monthly US excess stock returns and volatility over the period 1980-2005. Factor-augmented predictive regression models improve upon both benchmark models that only...
Persistent link: https://www.econbiz.de/10008740266
This paper builds on a simple unified representation of shrinkage Bayes estimators based on hierarchical Normal-Gamma priors. Various popular penalized least squares estimators for shrinkage and selection in regression models can be recovered using this single hierarchical Bayes formulation....
Persistent link: https://www.econbiz.de/10010610451
This paper is concerned with the problem of variable selection when the marginal effects of signals on the target variable as well as the correlation of the covariates in the active set are allowed to vary over time, without committing to any particular model of parameter instabilities. It poses...
Persistent link: https://www.econbiz.de/10013494088
We apply a recently proposed Bayesian model selection technique, known as stochastic model specification search, for characterising the nature of the trend in macroeconomic time series. We illustrate that the methodology can be quite successfully applied to discriminate between stochastic and...
Persistent link: https://www.econbiz.de/10008461999
We apply a recently proposed Bayesian model selection technique, known as stochastic model specification search, for characterising the nature of the trend in macroeconomic time series. We illustrate that the methodology can be quite successfully applied to discriminate between stochastic and...
Persistent link: https://www.econbiz.de/10008468145
In this paper we use a probabilistic approach to risk factor selection in the arbitrage pricing theory model. The methodology uses a bayesian framework to simultaneously select the pervasive risk factors and estimate the model. This will enable correct inference and testing of the implications...
Persistent link: https://www.econbiz.de/10005422750
In recent years, factor models have received increasing attention from both econometricians and practitioners in the forecasting of macroeconomic variables. In this context, Bai and Ng (2008) find an improvement in selecting indicators according to the forecast variable prior to factor...
Persistent link: https://www.econbiz.de/10010593235