Ma, Yue, Kanas, Angelos (2004) Intrinsic bubbles revisited: Evidence from nonlinear cointegration and forecasting. Journal of Forecasting, 23 (4). pp. 237-250. ISSN 0277-6693. (doi:10.1002/for.909) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:41150)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1002/for.909 |
Abstract
This paper offers strong further empirical evidence to support the intrinsic bubble model of stock prices, developed by Froot and Obstfeld (American Economic Review, 1991), in two ways. First, our results suggest that there is a long-run nonlinear relationship between stock prices and dividends for the US stock market during the period 1871-1996. Second, we find that the out-of-sample forecasting performance of the intrinsic bubbles model is significantly better than the performance of two alternatives, namely the random walk and the rational bubbles model. Copyright © 2004 John Wiley & Sons, Ltd.
Item Type: | Article |
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DOI/Identification number: | 10.1002/for.909 |
Uncontrolled keywords: | Forecasting, Intrinsic bubbles, Kalman filter, Nonlinear cointegration, Random walk, Estimation, Finance, Industrial economics, Integration, Kalman filtering, Least squares approximations, Mathematical models, Nonlinear systems, Intrinsic bubbles, Nonlinear cointegration, Random walk, Stock prices, Forecasting |
Subjects: | H Social Sciences > HG Finance |
Divisions: | Divisions > Kent Business School - Division > Kent Business School (do not use) |
Depositing User: | Tracey Pemble |
Date Deposited: | 22 May 2014 14:03 UTC |
Last Modified: | 05 Nov 2024 10:25 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/41150 (The current URI for this page, for reference purposes) |
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