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No-Arbitrage Taylor Rules


Andrew Ang


Columbia Business School - Finance and Economics; National Bureau of Economic Research (NBER)

Sen Dong


Columbia Business School - Economics Department

Monika Piazzesi


University of Chicago - Booth School of Business; National Bureau of Economic Research (NBER)

November 15, 2004



Abstract:     
We estimate Taylor (1993) rules and identify monetary policy shocks using no-arbitrage pricing techniques. Long-term interest rates are risk-adjusted expected values of future short rates and thus provide strong over-identifying restrictions about the policy rule used by the Federal Reserve. We find that inflation and GDP growth account for over half of the timevariation of yield levels and we attribute almost all of the movements in the term spread to inflation. We find that Taylor rules estimated with no-arbitrage restrictions differ substantially from Taylor rules estimated by OLS and monetary policy shocks identified with no-arbitrage techniques are less volatile than their OLS counterparts. The no-arbitrage framework also accommodates backward-looking and forward-looking Taylor rules.

Number of Pages in PDF File: 56

Keywords: Affine term structure model, monetary policy, interest rate risk

JEL Classification: C13, E43, E52, G12

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Date posted: November 21, 2004  

Suggested Citation

Ang, Andrew, Dong, Sen and Piazzesi, Monika, No-Arbitrage Taylor Rules (November 15, 2004). Available at SSRN: http://ssrn.com/abstract=621126 or http://dx.doi.org/10.2139/ssrn.621126

Contact Information

Andrew Ang (Contact Author)
Columbia Business School - Finance and Economics ( email )
3022 Broadway
New York, NY 10027
United States

National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Sen Dong
Columbia Business School - Economics Department ( email )
3022 Broadway
New York, NY 10027
United States
Monika Piazzesi
University of Chicago - Booth School of Business ( email )
5807 S. Woodlawn Avenue
Chicago, IL 60637
United States
773-834-3199 (Phone)
773-702-0458 (Fax)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
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