This article presents and compares two different Kalman filters. These methods provide a very interesting way to cope with the presence of non-observable variables, which is a frequent problem in finance. They are also very fast even in the presence of a large information volume. The first...

This paper studies the Brazilian term structure of interest rates and characterises how the term premia have changed over time. We employ a Kalman filter approach, which is extended to take into account regime switches and overlapping forecasts errors. Empirical evidence suggests that term...

In order to enhance the understanding of the term structure of commodity prices, this article examines the temporal integration of the American crude oil futures market. The study relies on a database including futures prices for very long maturities (as far as seven years) and compares their...

This paper studies the Brazilian term structure of interest rates and characterises how the term premia have changed over time. We employ a Kalman filter approach, which is extended to take into account regime switches and overlapping forecasts errors. Empirical evidence suggests that term...

The movement of sovereign yields is important for both investment and risk management. In this paper, we apply a method that was first developed by Diebold et al (2006b) to model the sovereign bond yield curves of the US, Japan and Germany. By including observable macroeconomic variables and the...

This paper proposes a unified state-space formulation for parameter estimation of exponential-affine term structure models. This class of models, charaterized by Duffie and Kan (1993), contains models such as Vasicek (1977), Cox, Ingersoll and Ross (1985) and Chen and Scott (1992), among others....

No-arbitrage macro-finance models use variance decompositions to gauge the extent of association between the macro variables and yields. We show that results generated by this approach are sensitive to the order of variables in the recursive identification scheme. In a four-factor model, one may...

No-arbitrage macro-finance models use variance decompositions to gauge the extent of association between the macro variables and yields. We show that results generated by this approach are sensitive to the order of variables in the recursive identification scheme. In a four-factor model, one may...