Chung, Tsz-Kin and Iiboshi, Hirokuni (2015): Prediction of Term Structure with Potentially Misspecified Macro-Finance Models near the Zero Lower Bound.
Preview |
PDF
MPRA_paper_85709.pdf Download (566kB) | Preview |
Abstract
In this paper, we study the forecasting performances of the affine term structure model (ATSM) and the quadratic term structure model (QTSM) with macro-finance features under the zero interest rate policy of Japan. As both the two models can be potentially misspecified, we adopt the pptimal pooling prediction scheme following the recent work by Geweke and Amisano (2011). We find that the QTSM provides a more realistic statistical description when bond yields are close to the zero lower bound. The ATSM gives a good fit to the macroeconomic variables and bond yields simultaneously, however, it predicts a large probability of negative interest rates and hence is not appropriate for the forecasting of bond yields. The Markov-switching prediction pool dominates individual models as well as the static and dynamic pools. Our results suggest that both of the ATSM and QTSM macro-finance models are potentially misspecified and one should use a combination of the two models for the prediction of future bond yields during different time periods. Our analysis sheds light on the macro-finance modeling using US data amid the Federal Reserve’s zero interest rate policy since December 2008.
Item Type: | MPRA Paper |
---|---|
Original Title: | Prediction of Term Structure with Potentially Misspecified Macro-Finance Models near the Zero Lower Bound |
Language: | English |
Keywords: | Term structure; Forecasting; Financial markets and the macroeconomy; Optimal pool; Dynamic prediction pool; Markov-switching mixture; Bayesian estimation |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C54 - Quantitative Policy Modeling E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E43 - Interest Rates: Determination, Term Structure, and Effects E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy |
Item ID: | 85709 |
Depositing User: | Professor Hirokuni Iiboshi |
Date Deposited: | 05 Apr 2018 15:16 |
Last Modified: | 29 Sep 2019 00:46 |
References: | [1] Ahn, D.H., Dittmar, R.F. and Gallant, A.R. (2002) Quadratic Term Structure Models:Theory and Evidence. Review of Financial Studies 15, 243-288. [2] Albert, J.H. and Chib, S. (1993) Bayes Inference via Gibbs Sampling of Autoregressive Time Series Subject to Markov Mean and Variance Shifts. Journal of Business and Economic Statistics 11 (1), 1-15. [3] Andreasen, M. and Meldrum, A. (2013) Likelihood Inference in Non-linear Term Structure Models: the importance of the lower bound. Bank of England Working Paper No. 481. [4] Andersen, L.B.G. and Piterberg, V.V. (2010) Interest Rate Modeling. Volume 2: Term Structure Models. [5] Ang, A., Boivin, J., Dong, S. and Loo-Kung, R. (2011) Monetary Policy Shifts and the Term Structure. Review of Economic Studies 78, 429-457. [6] Ang, A., Dong, S. and Piazzesi, M. (2007) No-Arbitrage Taylor Rules. NBER Working Paper No. 13448. [7] Ang, A. and Piazzesi, M. (2003) A No-Arbitrage Vector Autoregression of Term Structure Dynamics with Macroeconomic and Latent Variables. Journal of Monetary Economics 50 (4), 745-787. [8] Ang, A., Piazzesi, M. and Wei, M. (2006) What Does the Yield Curve Tell us about GDP Growth? Journal of Econometrics 131, 745-787. [9] Baba, N. (2006) Financial Market Functioning and Monetary Policy: Japan’s Experience. Monetary and Economic Studies 24, 39-71. [10] Bernanke, B.S., Reinhart, V.R., and Sack, B.P. (2004) Monetary Policy Alternatives at the Zero Bound: An Empirical Assessment. Brookings Papers on Economic Activity 2, 1-100. [11] Camacho, M. and Perez-Quiros, G. (2010) Introducing the Euro-Sting: Short-term Indicator of Euro Area Growth. Journal of Applied Econometrics 25, 663-694. [12] Cox, J.C., Ingersoll, J.E., Ross, S. (1985) A Theory of the Term Structure of Interest Rates. Econometrica 53, 385-408. [13] Del Negro, M., Hasegawa, R.B. and Schorfheide, F. (2013) Dynamic Prediction Pools: an Investigation of Financial Frictions and Forecasting Performance. Working Paper. [14] Del Negro, M. and Schorfheide, F. (2010) Bayesian Macroeconometrics. Handbook of Bayesian Econometrics. [15] Diebold, F.X., Piazzesi, M. and Rudebusch, G.D. (2005) Modeling Bond Yields in Finance and Macroeconomics. American Economic Review 95, 415-420. [16] Diebold, F.X., Rudebusch, G.D. (2013) Yield Curve Modeling and Forecasting. The Dynamic Nelson-Siegel Approach. Princeton University Press. [17] Diebold, F.X., Rudebusch, G.D. and Aruoba, B. (2006) The Macroeconomy and the Yield Curve: A Dynamic Latent Factor Approach. Journal of Econometrics 131, 309-338. [18] Duffie, D., Kan, R. (1996) A Yield-factor Model of Interest Rates. Mathematical Finance 6, 379-406. [19] Eo, Y. and Kang K.H. (2014) Forecasting the Term Structure of Interest Rates with Potentially Misspecified Models. Working paper. [20] Geweke J. (2010) Complete and Incomplete Econometric Models. The Econometric and Tinbergen Institutes Lectures, Princeton University Press. [21] Geweke, J. and Amisano, G. (2011) Optimal Prediction Pools. Journal of Econometrics 164, 130-141. [22] Geweke, J. and Amisano, G. (2012) Prediction with Misspecified Models. American Economic Review: Papers & Proceedings 2012, 102 (3), 482-486. [23] Hoeting, J., Madigan, D., Raftey, A. and Volinsky, C. (1999) Bayesian Model Averaging. Statistical Science 14, 382-401. [24] Kim, S., Shephard, N. and Chib S. (1998) Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models. Review of Economic Studies 65 (3), 361-393. [25] Kim, D., Singleton, K.J. (2012) Term Structure Models and the Zero Nound: an Empirical Investigation of Japanese Yields. Journal of Econometrics 170, 32-49. [26] Li, H, Tao, L and Yu, C. (2013) No-Arbitrage Taylor Rules with Switching Regimes. Management Science 59 (10), 2278-2294. [27] Leippold, M.,Wu, L. (2002) Asset Pricing under the Quadratic Class. Journal of Financial and Quantitative Analysis 37 (2), 271-295. [28] Johanness, M. and Polson, N. (2009) Particle Filtering, Handbook of Financial Time Series, edited by T.G. Anderson et al. pp.1015-1029. Springer-Verlag Berlin Heidelberg. [29] Piazzesi, M. (2010) Affine Term Structure Models. Handbook of Financial Econometrics, edited by Y. Ait-Sahalia and L.P. Hansen, pp. 691-766. North Holland, Elsevier. [30] Rafty, A.E., Madigan, D. and Hoeting, J.A. (1997) Bayesian Model Averaging for Linear Regression Models. Journal of the American Statistical Association 92, 179-191. [31] Waggoner, D.F. and Zha, T. (2012) Confronting Model Misspecification in Macroeconomics. Journal of Econometrics 171, 167-184. [32] Wright, J.H. (2011) Term Premia and Inflation Uncertainty: Empirical Evidence from an International Panel Dataset. American Economic Review 101, 1514-1534. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/85709 |