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estimates from more complex structural forecasting models. …
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besides the United States. In addition, the yield spread forecasting model generally outperforms two alternative forecasting …
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Analysts often use financial variables to help predict real activity and inflation. One of the most popular of these variables is the spread between yields on long-term and short-term government instruments, also known as the yield spread. Researchers have shown the spread is a good predictor of...
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An abstract for this article is not available.
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and the significance of inflation forecasting. The author first considers how forecasting models are specifically designed … simplest time series forecasting model. The author concludes that future research should focus on estimating dynamic models …
Persistent link: https://www.econbiz.de/10005491165
established before it is used by a decision maker. ; The authors of this article describe a particular model-based forecasting … that must be addressed in a real-time application and methods for overcoming those hurdles, such as conditional forecasting … of forecasting economic data using a statistical model, the authors draw on experience in using such a model at the …
Persistent link: https://www.econbiz.de/10005491201
evaluate economic data and use them for forecasting. The evaluation of various longer-run fundamentals often begins with …
Persistent link: https://www.econbiz.de/10005498216
Advances in communications and information management, combined with new developments in financial theory, will radically alter the way that financial services are delivered in the next century. This is the view of Charles Sanford, Chairman of Bankers Trust, as expressed in his luncheon address...
Persistent link: https://www.econbiz.de/10005373376