Description

In this paper we estimate the factor model given by the Arbitrage Pricing Theory (APT), using a statistical model that has not yet been applied to Chilean financial market returns: the Principal Components Method. Using bond and stock indexes, we identify four factors of systematic risk for the period between January 2000 and June 2009. The economic interpretation of these factors relates to changes in the slope of the yield curve, aggregate demand, commodities prices and real estate returns. The correlation analysis between the identified factors and a set of macroeconomic variables corroborates this interpretation.