A Simple Model of Trading and Pricing Risky Assets Under Ambiguity: Any Lessons for Policy-Makers?

56 Pages Posted: 25 Apr 2009

See all articles by Massimo Guidolin

Massimo Guidolin

Bocconi University, Dept. of Finance; Bocconi University - CAREFIN - Centre for Applied Research in Finance

Francesca Rinaldi

Banque de France

Multiple version iconThere are 2 versions of this paper

Date Written: April 24, 2009

Abstract

The 2007-2008 financial crises has made it painfully obvious that markets may quickly turn illiquid. Moreover, recent experience has taught us that distress and lack of active trading can jump “around” between seemingly unconnected parts of the financial system contributing to transforming isolated shocks into systemic panic attacks. We develop a simple two-period model populated by both standard expected utility maximizers and by ambiguity-averse investors that trade in the market for a risky asset. We show that, provided there is a sufficient amount of ambiguity, market break-downs where large portions of traders withdraw from trading are endogeneous and may be triggered by modest re-assessments of the range of possible scenarios on the performance of individual securities. Risk premia (spreads) increase with the proportion of traders in the market who are averse to ambiguity. When we analyze the effect of policy actions, we find that when a market has fallen into a state of impaired liquidity, bringing the market back to orderly functioning through a reduction in the amount of perceived ambiguity may cause further reductions in equilibrium prices. Finally, our model provides stark indications against the idea that policy makers may be able to “inflate” their way out of a financial crisis.

Keywords: ambiguity, ambiguity-aversion, participation, liquidity, asset pricing

JEL Classification: G10, G18, D81, E60

Suggested Citation

Guidolin, Massimo and Rinaldi, Francesca, A Simple Model of Trading and Pricing Risky Assets Under Ambiguity: Any Lessons for Policy-Makers? (April 24, 2009). Available at SSRN: https://ssrn.com/abstract=1394405 or http://dx.doi.org/10.2139/ssrn.1394405

Massimo Guidolin (Contact Author)

Bocconi University, Dept. of Finance ( email )

Via Roentgen, 1
2nd floor
Milan, MI 20136
Italy

Bocconi University - CAREFIN - Centre for Applied Research in Finance

Via Sarfatti 25
Milan, 20136
Italy

Francesca Rinaldi

Banque de France ( email )

Research Division - RECFIN
31 rue Croix des petits champs
Paris, 75001
France

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