As a natural extension to León and Vivas (2010) and León and Reveiz (2010) this paper briefly describes the Cholesky method for simulating Geometric Brownian Motion processes with long-term dependence, also referred as Fractional Geometric Brownian Motion (FBM). Results show that this method...

This document explores the predictive power of the yield curves in Latin America (Colombia, Mexico, Peru and Chile) taking into account the factors set by the specifications of Nelson & Siegel and Svensson. Several forecasting methodologies are contrasted: an autoregressive model, a vector...

The most recent financial crisis unveiled that liquidity risk is far more important and intricate than regulation have conceived. The shift from bank-based to market-based financial systems and from Deferred Net Systems to liquidity-demanding Real-Time Gross Settlement of payments explains some...

In order to asses the credibility of their targets and policies, in-°ation targeting central banks always keep an eye on market expectations ofthe future in°ation rates and short maturity interest rates. In economies withdeveloped ¯nancial markets the prices of ¯nancial assets are a prime...

We study the determinants of sovereign default risk in Colombia by focusing on different time spans of risk which are indicated by yield spreads of government bonds with different maturities. Cointegration regressions are performed to analyze whether the drivers of short-run default risk are...

There is now an impetus to apply dynamic stochastic general equilibrium models to forecasting. But thesemodels typically rely on purpose-built data, for example on tradable and nontradable sector outputs.How then do we know that the model will forecast well, in advance? We develop an early...

If theory-consistent models can ever hope to forecast well and to be useful for policy, theyhave to relate to data which though rich in information is uncertain, unbalanced and sometimes forecastsfrom external sources about the future path of other variables. One example from many is financial...