Santiago García-Verdú, Manuel Ramos-Francia, M. Sánchez-Martínez
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引用次数: 1
Abstract
Information extracted from financial derivatives on interest rates is commonly used to forecast movements in interest rates. However, such an extraction generally assumes that agents are risk-neutral, which is not necessarily the case. Accordingly, it might be useful to account for the agents’ risk-aversion when doing these forecasts, which one can implement by adding a risk-correction. In this context, we use TIIE-28 swaps to forecast changes in monetary policy in Mexico, using a set of financial variables to account for the risk-correction. We assess whether models with a risk-correction outperform the TIIE-28 swaps rates, and find that the in-sample explained variability improves when using a risk-correction. Centrally, we document that our main model’s out-of-sample forecasts are similar for short horizons (3-month), and statistically significantly better for longer horizons (9 to 24-month), compared to the direct use of TIIE-28 swaps interest rates.
期刊介绍:
The Quarterly Journal of Finance publishes high-quality papers in all areas of finance, including corporate finance, asset pricing, financial econometrics, international finance, macro-finance, behavioral finance, banking and financial intermediation, capital markets, risk management and insurance, derivatives, quantitative finance, corporate governance and compensation, investments and entrepreneurial finance.