Computational Methods for Production-Based Asset Pricing Models with Recursive Utility

Author:

Aldrich Eric Mark1,Kung Howard2

Affiliation:

1. University of California Santa Cruz, Economics , 1156 High St. , Santa Cruz, CA , USA

2. London Business School, Department of Finance , London, United Kingdom of Great Britain and Northern Ireland

Abstract

Abstract We compare local and global polynomial solution methods for DSGE models with Epstein- Zin-Weil utility. We show that model implications for macroeconomic quantities are relatively invariant to choice of solution method but that a global method can yield substantial improvements for asset prices and welfare costs. The divergence in solution quality is highly dependent on parameters which affect value function sensitivity to TFP volatility, as well as the magnitude of TFP volatility itself. This problem is pronounced for calibrations at the extreme of those accepted in the asset pricing literature and disappears for more traditional macroeconomic parameterizations.

Publisher

Walter de Gruyter GmbH

Subject

Economics and Econometrics,Social Sciences (miscellaneous),Analysis,Economics and Econometrics,Social Sciences (miscellaneous),Analysis

Reference30 articles.

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2. Bansal, R., and A. Yaron. 2004. “Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles.” The Journal of Finance LIX: 1481–1509.

3. Bansal, R., D. Kiku, and A. Yaron. 2007. “Risks For the Long Run: Estimation and Inference.” Working Paper.

4. Brumm, J., and S. Scheidegger. 2015. “Using Adaptive Sparse Grids to Solve High-Dimensional Dynamic Models.” Working Paper, 1–39.

5. Cai, Y., K. L. Judd, and J. Steinbuks. 2015. “A Nonlinear Certainty Equivalent Approximation Method for Dynamic Stochastic Problems.” Working Paper, 1–61.

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