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Toward a Quantitative General Equilibrium Asset Pricing Model with Intangible Capital


Hengjie Ai


University of Minnesota - Carlson School of Management

Mariano Massimiliano Croce


University of North Carolina Kenan-Flagler Business School

Kai Li


Hong Kong University of Science & Technology (HKUST) - School of Business and Management

June 10, 2012

Review of Financial Studies, Forthcoming

Abstract:     
We model investment options as intangible capital in a production economy in which younger vintages of assets in place have lower exposure to aggregate productivity risk. In equilibrium, physical capital requires a substantially higher expected return than intangible capital. Quantitatively, our model rationalizes a significant share of the observed difference in the average return of book-to-market-sorted portfolios (value premium). Our economy also produces (1) a high premium of the aggregate stock market over the risk-free interest rate, (2) a low and smooth risk-free interest rate, and (3) key features of the consumption and investment dynamics in the US data.

Number of Pages in PDF File: 61

Keywords: Asset Pricing, General Equilibrium, Intangible Capital, Value Premium

JEL Classification: E13, E32, G12

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Date posted: March 15, 2010 ; Last revised: October 3, 2012

Suggested Citation

Ai, Hengjie, Croce, Mariano Massimiliano and Li, Kai, Toward a Quantitative General Equilibrium Asset Pricing Model with Intangible Capital (June 10, 2012). Review of Financial Studies, Forthcoming. Available at SSRN: http://ssrn.com/abstract=1571330 or http://dx.doi.org/10.2139/ssrn.1571330

Contact Information

Hengjie Ai (Contact Author)
University of Minnesota - Carlson School of Management ( email )
321 19th Avenue South
Minneapolis, MN 55455
United States
Mariano Massimiliano Croce
University of North Carolina Kenan-Flagler Business School ( email )
Chapel Hill, NC 27599-3490
HOME PAGE: http://homepages.nyu.edu/~mmc287

Kai Li
Hong Kong University of Science & Technology (HKUST) - School of Business and Management ( email )
Clear Water Bay, Kowloon
Hong Kong
Feedback to SSRN (Beta)


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