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This paper applies an extended and generalised version of the recursive modelling strategy developed in Pesaran and Timmermann (1995) to the UK stock market. The focus of the analysis is to simulate investors' search in "real time" for a model that can forecast stock returns. We find evidence of...
Persistent link: https://www.econbiz.de/10005099482
Sir Richard Stone, knighted 1978 and 1984 Nobel Laureate in Economics, was one of the pioneers of national income and social accounts, and one of the few economists of his generation to have faced the challenge of economics as a science by combining theory and measurement within a cohesive...
Persistent link: https://www.econbiz.de/10005071692
This paper develops a multisectoral framework for the measurement of persistence of shocks to sectoral and aggregate output, and provides a decomposition of the contribution of shocks from different sources to the overall persistence measure. The framework is applied to U.K. output data,...
Persistent link: https://www.econbiz.de/10005071946
This paper considers the problem of model uncertainty in the case of multi-asset volatility models and discusses the use of model averaging techniques as a way of dealing with the risk of inadvertently using false models in portfolio management. Evaluation of volatility models is then considered...
Persistent link: https://www.econbiz.de/10005067642
This paper uses vector error correction models of Switzerland for forecasting output, inflation and the short-term interest rate. It considers three different ways of dealing with forecast uncertainties. First, it investigates the effect on forecasting performance of averaging over forecasts...
Persistent link: https://www.econbiz.de/10005069889
This survey uses a number of recent developments in the analysis of cointegrating Vector Autoregressions (VARs) to examine their links to the older structural modelling traditions using Autoregressive Distributed Lag (ARDL), and Simultaneous Equations Models (SEMs). In particular, it emphasizes...
Persistent link: https://www.econbiz.de/10005662620
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