Arbitrage in the Term Structure of Interest Rates: a Bayesian Approach
Year 2014,
, 77 - 99, 01.09.2014
Márcio Poletti Laurini
Armênio Dias Westin Neto
Abstract
This work presents an analysis of the presence of arbitrage opportunities in the term structure of interest rates, through the estimation of the affine generalized Nelson-Siegel model with correction for no-arbitrage. We challenge the necessity of the condition of no-arbitrage using the Brazilian term structure of interest rates by observing the interbank deposits (DI) contracts traded in the Mercantile and Futures Exchange (BM&FBOVESPA) in Brazil between 2007 and 2009. To verify the necessity of imposing no-arbitrage restrictions, we propose an analysis using Bayesian methods of estimation and testing of this model. We also discuss the estimation procedure in the presence of an irregular maturity structure. Our chosen methodology is especially relevant for emerging markets, where the liquidity of emerging markets varies substantially over time, especially in periods of crises. The results of our analysis indicate that the no-arbitrage corrections are not necessary and that this model is an appropriate specification for this term structure of interest rates.
References
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- Ang, A. and M. Piazzesi (2003). A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables. Journal of Monetary Economics, 50, 745-787.
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- Delbaen, F. and W. Schachermayer (1994). A general version of the fundamental theory of asset pricing. Mathematische Annalen, 300, 463–250.
- Diebold, F.X. and C. Li (2006). Forecasting the term structure of government Bond yields. Journal of Econometrics, 130 (2), 337-364.
- Diebold, F.X. and G.D. Rudebusch (2013). Yield Curve Modeling and Forecasting. Princeton University Press.
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- Duffie, D. and R. Kan (1996). A yield-factor model of interest rates. Mathematical Finance, 6, 379–406.
- Filipovic, D. (1999). A note on the Nelson-Siegel family. Mathematical Finance, 9 (4), 349– 359.
- Gamerman, D. and H. Lopes (2005). Markov Chain Monte Carlo – Stochastic Simulation for Bayesian Inference. CRC Press.
- Harrison, J. M. and D. Kreps (1979). Martingales and arbitrage in multiperiod securities markets. Journal of Economic Theory, 20, 381–408.
- Harrison, J. M. and S. Pliska (1981). Martingales and stochastic integrals in the theory of continuous trading. Stochastic Processes and Their Applications, 11, 215–260.
- Hautsch, N. and F. Yang (2012). Bayesian Inference in Stochastic Volatility Nelson-Siegel Model. Computational Statistics and Data Analysis, 56, 3774–3792.
- Jeffreys, H. (1961). The Theory of Probability. (3e), Oxford.
- Joslin, S., K.J. Singleton and H. Zhu (2011). A New Perspective on Gaussian Dynamic Term Structure Models. Review of Financial Studies, 24, 926–970.
- Laurini, M.P. and L.K. Hotta (2010). Bayesian Extensions to Diebold-Li Term Structure Model. International Review of Financial Analysis, 19, 342-350.
- Laurini, M.P. and L.K. Hotta (2014). Forecasting the Term Structure of Interest Rates Using Integrated Nested Laplace Approximations. Journal of Forecasting, 33, 214–230.
- Laurini, M.P. and M. Moura (2010). Constrained smoothing B-splines for the term structure of interest rates. Insurance: Mathematics and Economics, 46, 339–350.
- Litterman, R. and J. Scheinkman (1991) Common Factors Affecting Bond Returns. Journal of Fixed Income, 1, 54-61.
- Nelson, C.R. and A.F. Siegel (1987). Parsimonious modeling of yield curves. Journal of Business, 60 (4), 437-489.
- Raftery, A.E., A.M. Newton, J.M. Satagopan and P.N. Krivitsky (2007). Estimating the Integrated Likelihood via Posterior Simulation Using the Harmonic Mean Identity. Bayesian Statistics, 8, 1–45.
- Robert, C.P. and G. Casella (2005). Monte Carlo Statistical Methods. Springer.
- Svensson, L.E. (1994). Estimating and Interpreting Forward Interest Rates: Sweden 1992- 1994. IMF Working Paper, 94.114.
- Vasicek, O. (1977). An equilibrium characterization of the term structure. Journal of Financial Economics, 5, 177–88.
Year 2014,
, 77 - 99, 01.09.2014
Márcio Poletti Laurini
Armênio Dias Westin Neto
References
- Almeida, C. and J. Vicente (2008). The role of no-arbitrage on forecasting: Lessons from a parametric term structure model. Journal of Banking & Finance, 32 (12), 2695-2705.
- Ang, A. and M. Piazzesi (2003). A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables. Journal of Monetary Economics, 50, 745-787.
- Christensen, J.H.E., F.X. Diebold and G.D. Rudebusch (2011). The Affine Arbitrage-Free Class of Nelson-Siegel Term Structure Models. Journal of Econometrics, 164, 4-20.
- Christensen, J.H.E., F.X. Diebold and G.D. Rudebush (2009). An Arbitrage-Free Generalized Nelson-Siegel Term Structure Model. Econometrics Journal, 12, 33-64.
- Cox, J.C., J.E. Ingersoll and S.A. Ross (1985). A theory of the term structure of interest rates. Econometrica, 53, 385–408.
- Dai, Q. and K. Singleton (2000). Specification analysis of affine term structure models. Journal of Finance, 55, 1943–1978.
- Delbaen, F. and W. Schachermayer (1994). A general version of the fundamental theory of asset pricing. Mathematische Annalen, 300, 463–250.
- Diebold, F.X. and C. Li (2006). Forecasting the term structure of government Bond yields. Journal of Econometrics, 130 (2), 337-364.
- Diebold, F.X. and G.D. Rudebusch (2013). Yield Curve Modeling and Forecasting. Princeton University Press.
- Duffee, G. (2002). Term premia and interest rate forecasts in affine models. Journal of Finance, 57, 405–443.
- Duffee, G. (2011). Forecasting with the term structure: The role of no-arbitrage. Working Paper, Johns Hopkins University.
- Duffie, D. and R. Kan (1996). A yield-factor model of interest rates. Mathematical Finance, 6, 379–406.
- Filipovic, D. (1999). A note on the Nelson-Siegel family. Mathematical Finance, 9 (4), 349– 359.
- Gamerman, D. and H. Lopes (2005). Markov Chain Monte Carlo – Stochastic Simulation for Bayesian Inference. CRC Press.
- Harrison, J. M. and D. Kreps (1979). Martingales and arbitrage in multiperiod securities markets. Journal of Economic Theory, 20, 381–408.
- Harrison, J. M. and S. Pliska (1981). Martingales and stochastic integrals in the theory of continuous trading. Stochastic Processes and Their Applications, 11, 215–260.
- Hautsch, N. and F. Yang (2012). Bayesian Inference in Stochastic Volatility Nelson-Siegel Model. Computational Statistics and Data Analysis, 56, 3774–3792.
- Jeffreys, H. (1961). The Theory of Probability. (3e), Oxford.
- Joslin, S., K.J. Singleton and H. Zhu (2011). A New Perspective on Gaussian Dynamic Term Structure Models. Review of Financial Studies, 24, 926–970.
- Laurini, M.P. and L.K. Hotta (2010). Bayesian Extensions to Diebold-Li Term Structure Model. International Review of Financial Analysis, 19, 342-350.
- Laurini, M.P. and L.K. Hotta (2014). Forecasting the Term Structure of Interest Rates Using Integrated Nested Laplace Approximations. Journal of Forecasting, 33, 214–230.
- Laurini, M.P. and M. Moura (2010). Constrained smoothing B-splines for the term structure of interest rates. Insurance: Mathematics and Economics, 46, 339–350.
- Litterman, R. and J. Scheinkman (1991) Common Factors Affecting Bond Returns. Journal of Fixed Income, 1, 54-61.
- Nelson, C.R. and A.F. Siegel (1987). Parsimonious modeling of yield curves. Journal of Business, 60 (4), 437-489.
- Raftery, A.E., A.M. Newton, J.M. Satagopan and P.N. Krivitsky (2007). Estimating the Integrated Likelihood via Posterior Simulation Using the Harmonic Mean Identity. Bayesian Statistics, 8, 1–45.
- Robert, C.P. and G. Casella (2005). Monte Carlo Statistical Methods. Springer.
- Svensson, L.E. (1994). Estimating and Interpreting Forward Interest Rates: Sweden 1992- 1994. IMF Working Paper, 94.114.
- Vasicek, O. (1977). An equilibrium characterization of the term structure. Journal of Financial Economics, 5, 177–88.