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Forecasting Fundamental Asset Return Distributions and Tests for Excess Volatility and Bubbles

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Author Info
Donaldson, R.G.
Kamstra, M.

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Abstract

This paper develops an augmented Artificial Neural Network forecast-simulation procedure for estimating both the current fundamental price of a financial asset and the state-dependent distribution (including volatilities) from which future returns will be fundamentally drawn. The results provide an improved method for valuing assets, such as stocks and stock options,and suggest new applications of tests for excess volatility and bubbles in asset prices.

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Publisher Info
Paper provided by Department of Economics, Simon Fraser University in its series Discussion Papers with number dp96-02.

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Length: 37 pages
Date of creation: 1996
Date of revision:
Handle: RePEc:sfu:sfudps:dp96-02

Contact details of provider:
Postal: Department of Economics, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada
Phone: (778)782-3508
Fax: (778)782-5944
Web page: http://www.econ.sfu.ca/
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Postal: Working Paper Coordinator, Department of Economics, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada
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Web: http://www.econ.sfu.ca/Research_and_Seminars/Publications/index.html

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Related research
Keywords: TESTS; FINANCIAL MARKET; STOCK MARKET; SHARES;

Find related papers by JEL classification:
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
N22 - Economic History - - Financial Markets and Institutions - - - U.S.; Canada: 1913-

Cited by:
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  1. Lucy Ackert & William Hunter, 2001. "An Empirical Examination of the Price-Dividend Relation with Dividend Management," Journal of Financial Services Research, Springer, vol. 19(2), pages 115-129, April. [Downloadable!] (restricted)
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Statistics
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This page was last updated on 2009-12-15.


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