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This paper presents a methodology for forecasting seasonal streamflow and is an extension of a previously developed … categorical streamflow forecast model that used persistence (i.e., the previous season’s streamflow) and El Niño … is expressed as probability of exceedance of continuous streamflow amounts. An exceedance probability forecast is …
Persistent link: https://www.econbiz.de/10009458745
The interannual variability of streamflow in Australia is greater than elsewhere in the world. Reliable forecasts of … streamflow would go a long way towards improving the management of water resources systems by enabling them to cope better with … of the paper presents statistical methods for forecasting streamflow. Probabilistic methods for forecasting categorical …
Persistent link: https://www.econbiz.de/10009458747
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Trends are ubiquitous in economic discourse, play a role in much economic theory, and have been intensively studied in econometrics over the last three decades. Yet the empirical economist, forecaster, and policy maker have little guidance from theory about the source and nature of trend...
Persistent link: https://www.econbiz.de/10008548961
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This thesis examines the links between economic time-series innovations and statisticalrisk factors in the UK stock market using principal components analysis (PCA) and thegeneral-to-specific (Gets) approach to econometric modelling.A multi-factor risk structure for the UK stock market is...
Persistent link: https://www.econbiz.de/10009461291
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We use factor augmented predictive regressions to investigate the relationship between excess bond returns and the macro economy. Our application is for the case of United Kingdom. The dimension of the large data set with 127 variables is reduced by the method of principal components and the...
Persistent link: https://www.econbiz.de/10008839510