The dividend ratio model and small sample bias : A Monte Carlo study
Small sample properties of parameter estimates and test statistics in the vector autoregressive dividend ratio model (Campbell and Shiller [1988 a,b]) are derived by stochastic simulation. The data generating processes are co integrated vector autoregressive models, estimated subject to restrictions implied by the dividend ratio model, or altered to show a unit root.
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- Robert J. Shiller & John Y. Campbell, 1986.
"The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors,"
Cowles Foundation Discussion Papers
812, Cowles Foundation for Research in Economics, Yale University.
- John Y. Campbell, Robert J. Shiller, 1988. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
- John Y. Campbell & Robert J. Shiller, 1986. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," NBER Working Papers 2100, National Bureau of Economic Research, Inc.
- Joe Mattey and Richard Meese., 1986. "Empirical Assessment of Present Value Relations," Research Program in Finance Working Papers 162, University of California at Berkeley.
- Flavin, Marjorie A, 1983. "Excess Volatility in the Financial Markets: A Reassessment of the Empirical Evidence," Journal of Political Economy, University of Chicago Press, vol. 91(6), pages 929-56, December.
- Marsh, Terry A & Merton, Robert C, 1986.
"Dividend Variability and Variance Bounds Tests for the Rationality ofStock Market Prices,"
American Economic Review,
American Economic Association, vol. 76(3), pages 483-98, June.
- Marsh, Terry A. & Merton, Robert C., 1984. "Dividend variability and variance bounds tests for the rationality of stock market prices," Working papers 1584-84., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Kleidon, Allan W, 1986. "Variance Bounds Tests and Stock Price Valuation Models," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 953-1001, October.
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