Extracting inflation risk premium from nominal and real bonds using survey information

Abstract

Purpose: The purpose of this paper is to forecast future inflation using a joint model of the nominal and real yield curves estimated with survey data. The model is arbitrage free and embodies incompleteness between the nominal and real bond markets. Design/methodology/approach: The methodology is based on the affine class of term structure of interest rate. The model is estimated using the Kalman filter technique. Findings: The authors show that the inclusion of survey data in the estimation procedure improves significantly the inflation forecasting. Moreover, the authors find that the monetary policy has significant effects on the inflation expectation and risk premium. Originality/value: This paper is the first to estimate inflation using a joint model of nominal and real yield curves with Brazilian data. Moreover, the authors propose a simple arbitrage-free model that takes it account incompleteness between the nominal and real bond markets. © 2018, Emerald Publishing Limited.