Stochastic Saddlepoint Systems, Stabilization Policy and the Stock Market

Posted: 4 May 2000

See all articles by Marcus H. Miller

Marcus H. Miller

University of Warwick - Department of Economics; Institute for International Economics; Centre for Economic Policy Research (CEPR)

Paul A. Weller

University of Iowa - Department of Finance

Abstract

We examine the effects of introducing stochastic shocks into a linear rational expectations model with saddlepoint dynamics generated by a forward-looking asset price. We derive the fundamental differential equation governing the path of the asset price as a function of the "sluggish" variable. The equation does not admit of closed form solutions in general, but we provide a complete qualitative characterization of the solution paths which are symmetric about equilibrium. These are the relevant solutions to consider in the presence of symmetric boundary conditions. We present an application of the analysis to fiscal stabilization policy where public expenditures are only adjusted when GNP moves outside a threshold around a target level. The impact of such a policy on the level of the stock market is considered, and it is shown how the market will anticipate such state-contingent policy changes. Whether the expectations are stabilizing or not is shown to depend on whether the stock market is positively or negatively correlated with GNP.

JEL Classification: E44

Suggested Citation

Miller, Marcus H. and Weller, Paul A., Stochastic Saddlepoint Systems, Stabilization Policy and the Stock Market. Available at SSRN: https://ssrn.com/abstract=5993

Marcus H. Miller

University of Warwick - Department of Economics ( email )

Coventry CV4 7AL
United Kingdom
+44 24 7652 3048/9 (Phone)
+44 24 7652 3032 (Fax)

Institute for International Economics

1750 Massachusetts Avenue, NW
Washington, DC 20036-1903
United States

Centre for Economic Policy Research (CEPR)

London
United Kingdom

Paul A. Weller (Contact Author)

University of Iowa - Department of Finance ( email )

Iowa City, IA 52242-1000
United States
319-335-1017 (Phone)
319-335-3690 (Fax)

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