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Key Features:No prior knowledge of fuzzy logic is neededNotes offered after each chapter include historical and philosophical remarks which put the topics in a wider contextA multi-purpose book that is accessible to students and of interest to expertsSome original results are presented.
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the no-change forecast. Our key finding is that substantial reductions in the mean-squared prediction error (MSPE) of … greater reductions in MSPEs are possible by constructing a pooled forecast that assigns equal weight to five of the most …
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This paper assesses the performance of a number of long-term interest rate forecast approaches, namely time series … is compared using out of sample forecast errors, where a random walk forecast acts as benchmark. It is found that for … approaches do not outperform the random walk, or a somewhat more sophisticated time series model, on a 3 month forecast horizon …
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In this paper we study what professional forecasters actually explain. We use spectral analysis and state space modeling to decompose economic time series into a trend, a business-cycle, and an irregular component. To examine which components are captured by professional forecasters we regress...
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