Much of the literature on interest rate pass through assumes banks set retail rates by observing current market rates. We argue instead that banks anticipate the direction of short-term market rates when setting interest rates on loans and deposits. Including anticipated rates - captured by forecasts of short-term market rates or futures rates - in an empirical model requires a detailed consideration of the information contained in the yield curve. In this paper we use two methods to extract anticipated changes to short-term market rates - a level, slope, curvature model and a principal components model - at many horizons, before including them in a model of retail rate adjustment for four retail rates in four major euro area economies. Using both aggregate data and data from individual French banks, we find a significant role for forecasts of market rates in determining interest rate pass through; alternative specifications with futures information yield comparable results.
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Forthcoming in Journal of Money, Credit, and Banking and Banque de France working paper No. 361, February 2012
Anindya Banerjee, Victor Bystrov and Paul Mizen
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