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Modelling long-run trends and cycles in financial time series data
Caporale, Guglielmo Maria (contributor);  … - 2008
This paper proposes a very general time series framework to capture the long-run behaviour of financial series. The suggested model includes linear and non-linear time trends, and stationary and nonstationary processes based on integer and/or fractional degrees of differentiation. Moreover, the...
Persistent link: https://www.econbiz.de/10003720605
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Predictability of bull and bear markets : a new look at forecasting stock market regimes (and returns) in the US
Haase, Felix; Neuenkirch, Matthias - 2021
The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...
Persistent link: https://www.econbiz.de/10012416151
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Proprietary income, entrepreneurial risk, and the predictability of US stock returns
Hoffmann, Mathias (contributor) - 2006
Persistent link: https://www.econbiz.de/10003363972
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Variable selection and inference for multi-period forecasting problems
Pesaran, M. Hashem; Pick, Andreas; Timmermann, Allan - 2009
This paper conducts a broad-based comparison of iterated and direct multi-step forecasting approaches applied to both univariate and multivariate models. Theoretical results and Monte Carlo simulations suggest that iterated forecasts dominate direct forecasts when estimation error is a...
Persistent link: https://www.econbiz.de/10003807908
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Cointegration analysis with mixed-frequency data
Seong, Byeongchan (contributor); Ahn, Sung K. (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003496561
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Inside the crystal ball : new approaches to predicting the gasoline price at the pump
Baumeister, Christiane; Kilian, Lutz; Lee, Thomas - 2016
Although there is much interest in the future retail price of gasoline among consumers, industry analysts, and policymakers, it is widely believed that changes in the price of gasoline are essentially unforecastable given publicly available information. We explore several new forecasting...
Persistent link: https://www.econbiz.de/10011429580
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Forecasting random walks under drift instability
Pesaran, M. Hashem (contributor); Pick, Andreas (contributor) - 2008
Persistent link: https://www.econbiz.de/10003711763
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Partisan bias in inflation expectations
Bachmann, Oliver; Gründler, Klaus; Potrafke, Niklas; … - 2019
We examine partisan bias in inflation expectations. Our dataset includes inflation expectations of the New York Fed …'s Survey of Consumer Expectations over the period June 2013 to June 2018. The results show that inflation expectations were 0 …. Compared to inflation expectations in Democratic-dominated states, inflation expectations in Republican-dominated states …
Persistent link: https://www.econbiz.de/10012119953
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Estimated general equilibrium models for the evaluation of monetary policy in the US and Europe
Leith, Campbell B.; Malley, James R. - 2002
of the New Keynesian Phillips Curve (NKPC) is that they fail to capture the extent of inflation inertia in the data. In …
Persistent link: https://www.econbiz.de/10011409738
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Yield curve and financial uncertainty : evidence based on US data
Castelnuovo, Efrem - 2019
How do short and long term interest rates respond to a jump in financial uncertainty? We address this question by conducting a local projections analysis with US monthly data, period: 1962-2018. The state-of-the-art financial uncertainty measure proposed by Ludvigson, Ma, and Ng (2019) is found...
Persistent link: https://www.econbiz.de/10012029082