| Author | Methodology | Results obtained |
| | Dashboard | Intermediation spreads in Latin America are high by international standards. |
| | Near VAR | Estimations indicate close variances at 85% for 12-month interest rates, from shocks at the level of economic activity and inflation. Additional tests indicated the effects of country-risk-level shocks, so changes in this indicator could even change interest rates by 40% for 12 months. |
| | VAR, with application of likelihood functions and Kalman filter | It was found that cyclical variables, such as product gap, inflation rate and variation in nominal exchange rates, accounted for up to 53% of the variation in interest rates in 1999 and 2005. The difference is attributed to factors not observed, such as international risk aversion and inflationary expectations. |
| | Nelson-Siegel model, with main component analysis and extended Kalman filter | It was not possible to conclude that the inclusion of macroeconomic variables makes the models more accurate to estimate the term structure of interest, since the benefits obtained, with the inclusion of these, were marginal. |
| | VAR, with Kalman filter application | The results support the dynamic interaction between latent factors of the interest curve and monetary and credit policies implemented by the Chilean Central Bank. |
| | Nelson-Siegel model and principal component analysis | The results suggest that announcements of macro-economic results have an impact on the determination of the movements of the Chile interest curve, both in the Nelson-Siegel Model approach and in the analysis of main components. |