Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-27T21:33:18.985Z Has data issue: false hasContentIssue false

THE REGIME-DEPENDENT EVOLUTION OF CREDIBILITY: A FRESH LOOK AT HONG KONG'S LINKED EXCHANGE RATE SYSTEM

Published online by Cambridge University Press:  22 April 2018

Boris Blagov*
Affiliation:
RWI – Leibniz Institute for Economic Research
Michael Funke
Affiliation:
Hamburg University and CESifo Munich
*
Address correspondence to: Boris Blagov, RWI – Leibniz Institute for Economic Research, Hohenzollerznstrasse 1-3, 45128, Essen, Germany; e-mail: [email protected].

Abstract

An estimated Markov-switching DSGE modeling framework that allows for parameter shifts across regimes is employed to test the hypothesis of regime-dependent credibility of Hong Kong's linked exchange rate system. The baseline model distinguishes two regimes with respect to the time-series properties of the risk premium. Regime-dependent impulse responses to macroeconomic shocks reveal substantial differences in spreads. To test the sensitivity of the results, a number of robustness checks are performed. The findings contribute to efforts at modeling exchange rate regime credibility as a nonlinear process with two distinct regimes.

Type
Articles
Copyright
Copyright © Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

We would like to thank William A. Barnett, two anonymous referees and an associate editor for valuable comments and suggestions on an earlier draft. The usual disclaimer applies.

References

REFERENCES

Agénor, P. R. (2006) Market sentiment and macroeconomic fluctuations under pegged exchange rates. Economica 73 (292), 579604.Google Scholar
Aghion, P. and Howitt, P. (2009) The Economics of Growth. Cambridge, MA: MIT Press.Google Scholar
Amisano, G. and Tristani, O. (2011) Exact likelihood computation for nonlinear DSGE models with heteroskedastic innovations. Journal of Economic Dynamics and Control 35 (12), 21672185.Google Scholar
Andreasen, M. (2008) How to Maximize the Likelihood Function for a DSGE Model. CREATES research papers 2008–32, School of Economics and Management, University of Aarhus.Google Scholar
Benigno, P. (2001) Price Stability with Imperfect Financial Integration. Working paper DP2584, CERP.Google Scholar
Bianchi, J. (2011) Overborrowing and systemic externalities in the business cycle. American Economic Review 101 (7), 34003426.Google Scholar
Billio, M., Casarin, R., Ravazzolo, F., and van Dijk, H. K. (2015) Interactions between eurozone and US booms and busts : A Bayesian panel Markov-switching VAR model. Tinberger Institute discussion paper 17.Google Scholar
Blagov, B. (2017). Financial crises and time-varying risk premia in a small open economy: A Markov-switching DSGE model for Estonia. Empirical Economics. doi:10.1007/s00181-017-1256-z.Google Scholar
Blagov, B. and Funke, M. (2016) The credibility of Hong Kong's currency board system: Looking through the prism of MS-VAR models with time-varying transition probabilities. Oxford Bulletin of Economics and Statistics 78 (6), 895914.Google Scholar
Blanchard, O. (2016) Do DSGE models have a future? Policy brief 16–11, Peterson Institute for International Economics.Google Scholar
Bloom, N. (2009) The impact of uncertainty shocks. Econometrica 77 (3), 623685.Google Scholar
Caballero, R. J. (2010) Macroeconomics after the crisis: Time to deal with the pretense-of-knowledge syndrome. Journal of Economic Perspectives 24 (4), 85102.Google Scholar
Calvo, G. (1983) Staggered prices in a utility maximizing framework. Journal of Monetary Economics 12, 383398.Google Scholar
Carlson, M. (2006) A Brief History of the 1987 Stock Market Crash with a Discussion of the Federal Reserve Response. Discussion paper, Board of Governors of the Federal Reserve.Google Scholar
Chen, Y.-F., Funke, M., and Glanemann, N. (2013) Off-the-record target zones: Theory with an application to Hong Kong's currency board. Studies in Nonlinear Dynamics and Econometrics 17 (4), 373393.Google Scholar
Cheng, M. and Ho, W.-Y. A. (2009) A Structural Investigation into the Price and Wage Dynamics in Hong Kong. Working paper December, Hong Kong Monetary Authority.Google Scholar
Cheung, Y.-W. and Erlandsson, U. G. (2005) Exchange rates and Markov switching dynamics. Journal of Business & Economic Statistics 23 (3), 314320.Google Scholar
Cho, I.-K. and Kasa, K. (2008) Learning dynamics and endogenous currency crises. Macroeconomic Dynamics 12 (2), 257285.Google Scholar
Cho, S. (2016) Sufficient conditions for determinacy in a class of Markov-switching rational expectations models. Review of Economic Dynamics 21, 182200.Google Scholar
Davig, T. and Leeper, E. M. (2007) Generalizing the Taylor principle. The American Economic Review 97 (3), 607635.Google Scholar
De Grauwe, P. (2010) Animal spirits and monetary policy. Economic Theory 47 (2–3), 423457.Google Scholar
De Grauwe, P. and Kaltwasser, P. (2012) Animal spirits in the foreign exchange market. Journal of Economic Dynamics and Control 36 (8), 11761192.Google Scholar
Engel, C. (1994) Can the Markov switching model forecast exchange rates? Journal of International Economics 36 (1–2), 151165.Google Scholar
Engel, C. and Hamilton, J. D. (1990) Long swings in the dollar: Are they in the data and do markets know it? American Economic Review 80 (4), 689713.Google Scholar
Farmer, R. E., Waggoner, D. F., and Zha, T. (2011) Minimal state variable solutions to Markov-switching rational expectations models. Journal of Economic Dynamics and Control 35 (12), 21502166.Google Scholar
Filardo, A. J. (1994) Business-cycle phases and their transitional dynamics. Journal of Business and Economic Statistics 12 (3), 299308.Google Scholar
Foerster, A., Rubio-Ramírez, J. F., Waggoner, D. F., and Zha, T. (2016) Perturbation methods for Markov-switching DSGE models. Quantitative Economics 7 (2), 637669.Google Scholar
Funke, M. and Paetz, M. (2013) Housing prices and the business cycle: An empirical application to Hong Kong. Journal of Housing Economics 22 (1), 6276.Google Scholar
Funke, M., Paetz, M., and Pytlarczyk, E. (2011) Stock market wealth effects in an estimated DSGE model for Hong Kong. Economic Modelling 28 (1–2), 316334.Google Scholar
Galí, J. and Monacelli, T. (2005) Monetary policy and exchange rate volatility in a small open economy. Review of Economic Studies 72 (3), 707734.Google Scholar
Genberg, H. and Hui, C.-H. (2011) The credibility of Hong Kong's link from the perspective of modern financial theory. Journal of Money, Credit and Banking 43 (1), 185206.Google Scholar
Genberg, H. and Pauwels, L. (2005) An open-economy New Keynesian Phillips curve: Evidence from Hong Kong. Pacific Economic Review 10 (2), 261277.Google Scholar
Gertler, M. and Kiyotaki, N. (2010) Financial intermediation and credit policy in business cycle analysis. In Friedman, B. and Woodford, M. (eds.), Handbook of Monetary Economics, vol. 3, chapter 11, pp. 547599. Amsterdam: Elsevier.Google Scholar
Hamilton, J. D. (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica 57 (2), 357384.Google Scholar
Hansen, N. (2006) The CMA evolution strategy: A comparing review. In Lozano, J. A., Larranaga, P., Inza, I., and Bengoetxea, E. (eds.), Towards a New Evolutionary Computation. Advances on Estimation of Distribution Algorithms, pp. 75102. Berlin Heidelberg: Springer.Google Scholar
Jeanne, O. and Masson, P., P. (2000) Currency crises, sunspots and Markov-switching regimes. Journal of International Economics 50 (2), 327350.Google Scholar
Jeffreys, H. (1998) The Theory of Probability. Oxford Classic Texts in the Physical Sciences. Oxford, UK: OUP Oxford.Google Scholar
Justiniano, A. and Preston, B. (2010) Monetary policy and uncertainty in an empirical small open-economy model. Journal of Applied Econometrics 25 (1), 93128.Google Scholar
Justiniano, A. and Primiceri, G. E. (2008) The time-varying volatility of macroeconomic fluctuations. American Economic Review 98 (3), 604641.Google Scholar
Kim, C.-J. and Nelson, C. (1999) State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications. Cambridge, MA: MIT Press.Google Scholar
Kriwoluzky, A., Gernot, M., and Wolf, M. (2015) Exit Expectations in Currency Unions. Technical report, CERP.Google Scholar
Kwan, Y. K., Liu, F., and Cheng, L. (2001) Credibility of Hong Kong's currency board: The role of institutional arrangements. In Ito, T. and Krueger, A. (eds.), Regional and Global Capital Flows: Macroeconomics Causes and Consequences, NBER-EASE, vol. 10, pp. 233266. Chicago, IL: University of Chicago Press.Google Scholar
Malliaris, A. G. and Urrutia, J. L. (1992) The international crash of October 1987: Causality tests. Journal of Financial and Quantitative Analysis 27 (3), 353364.Google Scholar
McCallum, B. T. (1983) On non-uniqueness in rational expectations models : An attempt at perspective. Journal of Monetary Economics 11 (2), 139168.Google Scholar
Miah, J. (2014) Efficient Perturbation Methods for Solving Regime-Switching DSGE Models. CAMP working paper no.10/2014 10.Google Scholar
Monacelli, T. (2005) Monetary policy in a low pass-through. Journal of Money, Credit and Banking 37 (6), 10471066.Google Scholar
Mouratidis, K. (2008) Evaluating currency crises: A Bayesian Markov switching approach. Journal of Macroeconomics 30 (4), 16881711.Google Scholar
Murray, C. J., Nikolsko-Rzhevskyy, A., and Papell, D. H. (2015) Markov switching and the Taylor principle. Macroeconomic Dynamics 19 (4), 913930.Google Scholar
Oliva, M.-A., Rivera-Batiz, L., and Sy, A. (2001) Discipline, signaling, and currency boards. Review of International Economics 9 (4), 608625.Google Scholar
Primiceri, G. E. (2005) Time varying structural vector autoregressions and monetary policy. Review of Economic Studies 72 (3), 821852.Google Scholar
Razzak, W. A. (2003) Wage-Price Dynamics, the Labour Market and Deflation in Hong Kong. Working paper no.24/2003 24, HKIMR.Google Scholar
Roll, R. (1988) The international crash of October 1987. Financial Analysts Journal 44 (5), 1935.Google Scholar
Schmitt-Grohé, S. and Uribe, M. (2003) Closing small open economy models. Journal of International Economics 61 (1), 163185.Google Scholar
Van Binsbergen, J., Fernández-Villaverde, J., Koijen, R. S., and Rubio-Ramírez, J. F. (2012) The term structure of interest rates in a DSGE model with recursive preferences. Journal of Monetary Economics 59 (7), 634648.Google Scholar