A Study of Financial Cycles and the Macroeconomy in Taiwan

Chen, Nan-Kuang and Cheng, Han-Liang (2020): A Study of Financial Cycles and the Macroeconomy in Taiwan.

Abstract

his paper studies the characteristics of financial cycles (credit and house prices) and their interactions with business cycles in Taiwan. We employ multivariate structural time series model (STSM) to estimate trend and cyclical components in real bank credit, real house prices, and real GDP. We find that financial cycles are roughly twice the length of the business cycles, and house price cycles lead both credit and business cycles. Nevertheless, the estimated length of business and financial cycles in Taiwan is much shorter than those in industrialized economies. We then use machine learning to evaluate the importance of a macroeconomic variable that predicts downturns of financial cycles, by conducting both in-sample fitting and out-of-sample forecasting. Those macro variables selected by machine learning reflects Taiwan's close linkage in trades and financial interdependence with other countries such as China and spillover effects from the Fed's monetary policy.

• Item Type: MPRA Paper
• Language: English
• Keywords: financial cycle, credit, house prices, wavelet analysis, machine learning
• Subjects: E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles; E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E37 - Forecasting and Simulation: Models and Applications; E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy

References

Aikman, D., A. Haldane, and B. Nelson (2015), "Curbing the credit cycle," The Economic Journal, 125, 1072-1109.

Berge, T. (2015), "Predicting recessions with leading indicators: model averaging and selection over the business cycle, "Journal of Forecasting, 34(6), 455-471.

Bordo, Michael D. and Joseph G. Haubrich (2010), "Credit crises, money and contractions: an historical view," Journal of Monetary Economics, 57, 1-18.

Borio, Claudio (2014), "The financial cycle and macroeconomics: What have we learnt?" Journal of Banking & Finance, Elsevier, 45(C), 182-198.

Breiman, Leo (2001), "Random forests," Machine Learning, 45(1), 5--32.

Brock, W. A., W. D. Dechert, J. A. Scheinkman, and B. LeBaron (1996), "A test for independence based on the correlation dimension," Econometric Reviews, 15, 197-235.

Chen, Nan-Kuang (2001), "Bank net worth, asset prices and economic activity," Journal of Monetary Economics, 48, 415-436.

Chen, X., A. Kontonikas, and A. Montagnoli (2012), "Asset prices, credit and the business cycle," Economic Letters, 117, 857--861.

Claessens, Stijn, M. Ayhan Kose, and Marco E. Terrones (2011), "Financial cycles: what? how? when?" In NBER International Seminar on Macroeconomics 2010, edited by Richard Clarida and Francesco Giavazzi, 303--43, Chicago: University of Chicago Press.

Claessens, Stijn, M. Ayhan Kose, and Marco E. Terrones (2012), "How do business and financial cycles interact?" Journal of International Economics, 87(1), 178-190.

Dell'Ariccia, Giovanni, Deniz Igan and, Luc A. Laeven (2008), "Credit booms and lending standards: evidence from the subprime mortgage market," manuscript.

Drehmann, M., C. Borio and K. Tsatsaronis (2012), "Characterising the financial cycle: don't lose sight of the medium term!" BIS Working Papers, no 380, June.

Duca, John V., John Muellbauer and Anthony Murphy (2010), "Housing markets and the financial crisis of 2007--2009: lessons for the future," Journal of Financial Stability 6, 203--17.

Duca, John V., John Muellbauer and Anthony Murphy (2011), "Shifting credit standards and the boom and bust in US house prices," CEPR discussion paper 8361, CEPR: London.

Friedman, Jerome, Trevor Hastie, and Robert Tibshirani. (2001), The elements of statistical learning. Vol. 1. Springer Series in Statistics New York, NY, USA.

Friedman, J. H. (2001), "Greedy function approximation: A gradient boosting machine," Annals of Statistics, 29(5), 1189-1232.

Friedman, J.H. and T. Hastie (2000), "Additive logistic regression: a statistical view of boosting," Annals of Statistics, 28(2), 337--407.

Grinsted, A., J.C. Moore, and S. Jevrejeva (2004), "Application of the cross wavelet transform and wavelet coherence to geophysical time series," Nonlinear Processes in Geophysics, 11(5/6), 561--566.

Hanus, L. and L. Vacha (2020), "Growth cycle synchronization of the Visegrad Four and the European Union," Empirical Economics, 58, 1779--1795.

Harding, D. and A.R. Pagan (2002), "Dissecting the cycle: a methodoligical investigation," Journal of Monetary Economics, 49(2), 365-381.

Harvey, A. C. and S. J. Koopman (1997), Multivariate structural time series models, in Heij, C., H. Schumacher, and B. Hanzon (Eds.), System Dynamics in Economic and Financial Models, 269-298, New York, NY: Wiley.

Iacoviello, Matteo (2005), "House prices, borrowing constraints and monetary policy in the business cycle," American Economic Review, 95(3), 739-764.

Jorda, O., M. Schularick, and A. Taylor (2013), "When credit bites back: leverage, business cycles, and crises," Journal of Money Credit and Banking, 45(s2), 3-28.

Kiyotaki, N. and J. Moore (1997), "Credit cycles," Journal of Political Economy, 105(2), 211--48.

Koopman, Siem Jan and Andre Lucas (2005), "Business and default cycles for credit risk," Journal of Applied Econometrics, 20(2), 311-323.

Long, P.M., and R.A. Servedio (2009), "Random classification noise defeats all convex potential boosters," Machine Learning, 78(3), 287--304.

Liaw, Andy and Matthew Wiener (2002), "Classification and regression by random forest," R News, 2, 18-22.

Lilliefors, H. W. (1967), "On the Kolmogorov-Smirnov test for normality with mean and variance unknown," Journal of the American Statistical Association, 62, 399-402.

Mian, Atif R. and Amir Sufi (2009), "The consequences of mortgage credit expansion: evidence from the U.S. mortgage default crisis," Quarterly Journal of Economics, 124, 1449-1496.

Miranda-Agrippino, Silvia and Helene Rey (2019), "US monetary policy and the global financial cycle," Working paper.

Mishkin, F.S. (2008), "How should we respond to asset price bubbles?" Speech at the Wharton Financial Institutions Center, Philadelphia.

Murray, C. J. (2003), "Cyclical properties of Baxter-King filtered time series," Review of Economics and Statistics, 85(2), 472--476.

Pan, Wei and Haiyan Bai (2015), Propensity score analysis: fundamentals and developments, Guilford Publications.

Pontines, Victor (2017), "The financial cycles in four East Asian economies," Economic Modelling, 65, 51-66.

Raffinot, Thomas (2017), "Investing through economic cycles with ensemble machine learning algorithms," Working paper.

Rand, John and Finn Tarp (2002), "Business cycles in developing countries: are they different?," World Development, 30(12), 2071--2088.

Reinhart, Carmen M. and Kenneth S. Rogoff (2009), This time is different: eight centuries of financial folly, Princeton University Press, Princeton, N.J..

Rey, Helene (2013), "Dilemma not trilemma: The global financial cycle and monetary policy independence", Jackson Hole conference proceedings, Kansas City Fed, 2013.

Ridgeway, G. (2012), "Generalized boosted models: a guide to the gbm package," Working paper.

Runstler, Gerhard (2004), "Modelling phase shifts among stochastic cycles," Econometrics Journal, 7(1), 232-248.

Runstler, Gerhard and Marente Vlekke (2018), "Business, housing, and credit cycles," Applied Econometrics, 33, 212-226.

Schapire, Robert E. (1999), "A brief introduction to boosting," Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1-6.

Schularick, Moritz and Alan M. Taylor (2012), "Credit booms gone bust: monetary policy, leverage cycles, and financial crises, 1870--2008," American Economic Review, 102(2), 1029-10.

Schuler, Yves Stephan, Paul Hiebert and Tuomas A. Peltonen (2015), "Characterizing financial cycles across europe: one size does not fit all," ECB working paper 1846.

Thode Jr., H.C. (2002), Testing for normality, Marcel Dekker, New York.

Torrence, C. and G.P. Compo (1998), "A practical guide to wavelet analysis," Bulletin of the American Meteorological Society, 79(1), 61--78.