This Economic Letter summarizes the papers presented at a conference on "Interest Rates and Monetary Policy" held at the Federal Reserve Bank of San Francisco on March 19 and 20, 2004, under the joint sponsorship of the Federal Reserve Bank of San Francisco and the Stanford Institute for...

Long-term interest rates tend to rise as monetary policymakers increase short-term interest rates. This relationship didn't hold, however, during the recent U.S. monetary policy tightening cycle. Between June 2004 and June 2006, the Federal Open Market Committee increased the federal funds rate...

This paper examines the empirical relationship between the movement of the slope factor in term structure of nominal interest rates and exogenous monetary-policy shocks in the U.S. after 1982. Using first a six-variable VAR model and then a GMM estimation model of the "Taylor rule," I estimate...

I formulate an affine term structure model of bond yields from a general equilibrium business-cycle model, with observable macro state variables of the structural economy as the factors. The factor representing monetary policy is strongly mean-reverting, and its influence on the term structure...

This paper develops and estimates a macro-finance model that combines a canonical affine no-arbitrage finance specification of the term structure with standard macroeconomic aggregate relationships for output and inflation. From this new empirical formulation, we obtain several important...

This article develops and estimates a macro-finance model that combines a canonical affine no-arbitrage finance specification of the term structure of interest rates with standard macroeconomic aggregate relationships for output and inflation. Based on this combination of yield curve and...

We study the effects of oil-price shocks on the U.S. economy combining narrative and quantitative approaches. After examining daily oil-related events since 1984, we classify them into various event types. We then develop measures of exogenous shocks that avoid endogeneity and predictability...

This paper proposes two new mixed integer programming models for capacitated multi-level lot-sizing problems with backlogging, whose linear programming relaxations provide good lower bounds on the optimal solution value. We show that both of these strong formulations yield the same lower bounds....

In this article, we investigate the tail probability of the product of finitely many non-negative dependent random variables. They follow distributions from max-domains of attraction of extreme value distributions and their dependence is modeled via a multivariate Farlie–Gumbel–Morgenstern...