Research article

Chinese financial cycle spillovers to developed countries

  • Received: 13 November 2019 Accepted: 25 November 2019 Published: 26 November 2019
  • JEL Codes: C32, E32

  • In this paper, we quantify the spillovers of Chinese financial cycles from 1990Q1 to 2017Q4. We construct a spillover index for Chinese financial cycles and fit the Markov-switching autoregressive model. Our main findings indicate that Chinese financial cycle spillover shows several general characteristics and has significant time-varying features that are very sensitive to specific events. We examine the three different regimes of net spillovers, labeling them contraction, moderation, and expansion, and find that the moderation regime dominates.

    Citation: Tinghui Li, Junhao Zhong, Hai Zhang, Pierre Failler. Chinese financial cycle spillovers to developed countries[J]. Green Finance, 2019, 1(4): 364-386. doi: 10.3934/GF.2019.4.364

    Related Papers:

  • In this paper, we quantify the spillovers of Chinese financial cycles from 1990Q1 to 2017Q4. We construct a spillover index for Chinese financial cycles and fit the Markov-switching autoregressive model. Our main findings indicate that Chinese financial cycle spillover shows several general characteristics and has significant time-varying features that are very sensitive to specific events. We examine the three different regimes of net spillovers, labeling them contraction, moderation, and expansion, and find that the moderation regime dominates.


    加载中


    [1] Adam K, Marcet A, Nicolini JP (2016) Stock market volatility and learning. J Financ 71: 419-438. doi: 10.1111/jofi.12364
    [2] Ahi K, Laidroo L (2019) Banking market competition in Europe-financial stability or fragility enhancing? Quant Financ Econ 3: 257-285. doi: 10.3934/QFE.2019.2.257
    [3] Aikman D, Haldane AG, Nelson BD (2015) Curbing the credit cycle. Econ J 125: 1072-1109. doi: 10.1111/ecoj.12113
    [4] Alessi L, Detken C (2011) Quasi real time early warning indicators for costly asset price boom/bust cycles: A role for global liquidity. Eur J Polit Econ 27: 520-533. doi: 10.1016/j.ejpoleco.2011.01.003
    [5] Aloui R, Aïssa MSB, Nguyen DK (2011) Global financial crisis, extreme interdependences, and contagion effects: The role of economic structure? J Bank Financ 35: 130-141. doi: 10.1016/j.jbankfin.2010.07.021
    [6] Antonakakis N, Badinger H (2014) International business cycle spillovers since the 1870s. Appl Econ 46: 3682-3694. doi: 10.1080/00036846.2014.937040
    [7] Antonakakis N, Breitenlechner M, Scharler J (2015) Business cycle and financial cycle spillovers in the G7 countries. Q Rev Econ Financ 58: 154-162. doi: 10.1016/j.qref.2015.03.002
    [8] Antonakakis N, Vergos K (2013) Sovereign bond yield spillovers in the Euro zone during the financial and debt crisis. J Int FinancMark Inst Money 26: 258-272. doi: 10.1016/j.intfin.2013.06.004
    [9] Back J, Prokopczuk M, Rudolf M (2013) Seasonality and the valuation of commodity options. J Bank Financ 37: 273-290. doi: 10.1016/j.jbankfin.2012.08.025
    [10] Bahmani-Oskooee M, Saha S (2019) On the effects of policy uncertainty on stock prices: an asymmetric analysis. Quant Financ Econ 3: 412-424. doi: 10.3934/QFE.2019.2.412
    [11] Bekaert G, Ehrmann M, Fratzscher M, et al. (2014) The global crisis and equity market contagion. J Financ 69: 2597-2649. doi: 10.1111/jofi.12203
    [12] Bernanke BS, Gertler M, Gilchrist S (1999) The financial accelerator in a quantitative business cycle framework, Handbook of Macroeconomics, vol. 1, TaylorJ. B., WoodfordM., eds. Elsevier, 1341-1393.
    [13] Bessler W, Wolff D (2015) Do commodities add value in multi-asset portfolios? An out-of-sample analysis for different investment strategies. J Bank Financ 60: 1-20.
    [14] Borio C (2014) The financial cycle and macroeconomics: What have we learnt? J Bank Financ 45: 182-198. doi: 10.1016/j.jbankfin.2013.07.031
    [15] Borio C, Kennedy N, Prowse SD (1994) Exploring aggregate asset price fluctuations across countries: measurement, determinants and monetary policy implications. BIS Economics Paper.
    [16] Borisova G, Megginson WL (2011) Does government ownership affect the cost of debt? Evidence from privatization. Rev Financ Stud 24: 2693-2737. doi: 10.1093/rfs/hhq154
    [17] Böninghausen B, Zabel M (2015) Credit ratings and cross-border bond market spillovers. J Int Money Financ 53: 115-136. doi: 10.1016/j.jimonfin.2014.12.007
    [18] Broni MY, Masih M (2019) Does a country's external debt level affect its Islamic banking sector development? evidence from Malaysia based on quantile regression and markov regime switching. Quant Financ Econ 3: 366-389.
    [19] Chiang SM, Chen HF, Lin CT (2013) The spillover effects of the sub-prime mortgage crisis and optimum asset allocation in the BRICV stock markets. Global Financ J 24: 30-43. doi: 10.1016/j.gfj.2013.03.001
    [20] Christiansen C (2007) Volatility-spillover effects in European bond markets. Eur Financ Manage 13: 923-948. doi: 10.1111/j.1468-036X.2007.00403.x
    [21] Claessens S, Kose MA, Terrones ME (2012) How do business and financial cycles interact? J Int Econ 87: 178-190. doi: 10.1016/j.jinteco.2011.11.008
    [22] Comunale M, Hessel J (2014) Current account imbalances in the Euro area: Competitiveness or financial cycle? De Nederlandsche Bank Working Paper No. 443.
    [23] Degiannakis S, Duffy D, Filis G, et al. (2016) Business cycle synchronisation in EMU: Can fiscal policy bring member-countries closer? Econ Model 52: 551-563. doi: 10.1016/j.econmod.2015.09.035
    [24] Del Negro M, Otrok C (2008) Dynamic factor models with time varying parameters: Measuring changes in international business cycles. Federal Reserve Bank of New York Staff Reports 326.
    [25] Detken C, Smets F (2004) Asset price booms and monetary policy. Social Sci Electronic Publ 42: 189-232.
    [26] Diebold FX, Yilmaz K (2009) Measuring financial asset return and volatility spillovers, with application to global equity markets. Econ J 119: 158-171. doi: 10.1111/j.1468-0297.2008.02208.x
    [27] Diebold FX, Yilmaz K (2012) Better to give than to receive: Predictive directional measurement of volatility spillovers. Int J Forecasting 28: 57-66. doi: 10.1016/j.ijforecast.2011.02.006
    [28] Drehmann M, Borio C, Tsatsaronis K (2012) Characterising the financial cycle: Don't lose sight of the medium term! BIS papers 380, Bank for International Settlements.
    [29] Eickmeier S, Gambacorta L, Hofmann B (2014) Understanding global liquidity. Eur Econ Rev 68: 1-18. doi: 10.1016/j.euroecorev.2014.01.015
    [30] Engle DM, Stritzke JF, Bidwell TG, et al. (1993) Late-summer fire and follow-up herbicide treatments in tallgrass prairie. J Range Manage, 542-547. doi: 10.2307/4002869
    [31] Fidrmuc J, Korhonen I (2006) Meta-analysis of the business cycle correlation between the Euro area and the CEECs. J Comp Econ 34: 518-537. doi: 10.1016/j.jce.2006.06.007
    [32] Filardo A, George J, Loretan M, et al. (2010) The international financial crisis: Timeline, impact and policy responses in Asia and the Pacific. BIS Pap 52: 21-82.
    [33] Francq C, Zakoıan JM (2001) Stationarity of multivariate Markov-switching ARMA models. J Econ 102: 339-364. doi: 10.1016/S0304-4076(01)00057-4
    [34] Geweke JF (1977) The Dynamic Factor Analysis of Economic Time Series Models. Aigner D.J., Goldberger A.S. (Eds.), Latent Variables in Socio-Economic Models, North Holland, Amsterdam, 365-383.
    [35] Goodhart C, Hofmann B (2001) Asset prices, financial conditions, and the transmission of monetary policy. In conference on Asset Prices, Exchange Rates, and Monetary Policy, Stanford University, 2-3.
    [36] Goodhart C, Hofmann B (2008) House prices, money, credit, and the macroeconomy. Oxford Rev Econ Policy 24: 180-205. doi: 10.1093/oxrep/grn009
    [37] Gupta R, Wohar ME (2018) The role of monetary policy uncertainty in predicting equity market volatility of the United Kingdom: Evidence from over 150 years of data. Working Papers 201851, University of Pretoria, Department of Economics.
    [38] Hasmath R, Hsu J (2007) Big business, NGOs and labour standards in developing nations: a critical reflection. Asian J Soc Policy 3: 1-15.
    [39] IMF (2016) Global Financial Stability Report: Potent Policies for a Successful Normalization.
    [40] Jammazi R (2014) Oil shock transmission to stock market returns: Wavelet-multivariate Markov switching GARCH approach. Energy 37: 430-454. doi: 10.1016/j.energy.2011.11.011
    [41] Ji Q, Liu BY, Cunado J, et al. (2018) Risk spillover between the US and the remaining G7 stock markets using time-varying copulas with Markov switching: Evidence from over a century of data. North Am J Econ Financ. Advance online publication.
    [42] Jordà Ò, Schularick M, Taylor AM, et al. (2017) Global Financial Cycles and Risk Premiums. IMF Working Paper, International Monetary Fund, Washington, DC.
    [43] Kaminska I, Roberts-Sklar M (2018) Volatility in equity markets and monetary policy rate uncertainty. J Empir Financ 45: 68-83. doi: 10.1016/j.jempfin.2017.09.008
    [44] Ke J, Wang LM, Murray L (2010) An empirical analysis of the volatility spillover effect between primary stock markets abroad and China. J Chinese Econ Bus Stud 8: 315-333. doi: 10.1080/14765284.2010.493645
    [45] Koop G, Pesaran MH, Potter SM (1996) Impulse response analysis in nonlinear multivariate models. J Economet 74: 119-147. doi: 10.1016/0304-4076(95)01753-4
    [46] Li L, Yin L, Zhou Y (2016) Exogenous shocks and the spillover effects between uncertainty and oil price. Energy Econ 54: 224-234. doi: 10.1016/j.eneco.2015.11.017
    [47] Li T, Zhong J, Huang Z (2019) Potential Dependence of Financial Cycles between Emerging and Developed Countries: Based on ARIMA-GARCH Copula Model. Emerg Mark Financ Trade, Advance online publication.
    [48] Li ZH, Dong H, Huang ZH, et al. (2018) Asymmetric effects on risks of virtual financial assets (VFAs) in different regimes: A case of Bitcoin. Quant Financ Econ 2: 860-883. doi: 10.3934/QFE.2018.4.860
    [49] Li Z, Zhong J (2019) Impact of economic policy uncertainty shocks on China's financial conditions. Financ Res Lett, Advance online publication.
    [50] Liu Q, Tse Y, Zhang L (2018) Including commodity futures in asset allocation in China. Quant Financ 18: 1487-1499. doi: 10.1080/14697688.2018.1444554
    [51] Londono JM, Zhou H (2017) Variance risk premiums and the forward premium puzzle. J Financ Econ 124: 415-440. doi: 10.1016/j.jfineco.2017.02.002
    [52] Mankiw NG, Reis R (2002) Sticky information versus sticky prices: A proposal to replace the new Keynesian Phillips curve. Q J Econ 117: 1295-1328. doi: 10.1162/003355302320935034
    [53] Menden C, Proaño CR (2017) Dissecting the financial cycle with dynamic factor models. Quant Financ 17: 1965-1994. doi: 10.1080/14697688.2017.1357971
    [54] Mensi W, Hammoudeh S, Nguyen DK, et al. (2016) Global financial crisis and spillover effects among the US and BRICS stock markets. Int Rev Econ Financ 42: 257-276. doi: 10.1016/j.iref.2015.11.005
    [55] Miranda-Agrippino S, Rey H (2015). World asset markets and the global financial cycle. NBER Working Paper.
    [56] Ng T (2011) The predictive content of financial cycle measures for output fluctuations. BIS Quarterly Review, Bank for International Settlements.
    [57] Papadimitriou T, Gogas P, Sarantitis GA (2014) European Business Cycle Synchronization: A Complex Network Perspective, In Network Models in Economics and Finance, Springer, Cham, 265-275.
    [58] Pesaran HH, Shin Y (1998) Generalized impulse response analysis in linear multivariate models. Econ Lett 58: 17-29. doi: 10.1016/S0165-1765(97)00214-0
    [59] Qamruzzaman M, Wei J (2019) Do financial inclusion, stock market development attract foreign capital flows in developing economy: a panel data investigation. Quant Financ Econ 3: 88-108. doi: 10.3934/QFE.2019.1.88
    [60] Rapach DE, Strauss JK, Wohar ME (2008) Chapter 10 Forecasting Stock Return Volatility in the Presence of Structural Breaks. D.E. Rapach, M.E. Wohar (Eds.), Forecasting in the Presence of Structural Breaks and Model Uncertainty, Vol. 3 of Frontiers, Emerald Series Frontiers of Economics and Globalization, Emerald, Bingley, UK, 381-416.
    [61] Reboredo JC, Rivera-Castro MA, Ugolini A (2016) Downside and upside risk spillovers between exchange rates and stock prices. J Bank Financ 62: 76-96. doi: 10.1016/j.jbankfin.2015.10.011
    [62] Roni B, Abbas G, Wang S (2018) Return and Volatility Spillovers Effects: Study of Asian Emerging Stock Markets. J Syst Sci Inf 6: 97-119.
    [63] Sargent TJ, Sims CA (1977) Business cycle modeling without pretending to have too much a priori economic theory. New Methods Bus Cycle Res 1: 145-168.
    [64] Savva CS, Neanidis KC, Osborn DR (2010) Business cycle synchronization of the Euro area with the new and negotiating member countries. Int J Financ Econ 15: 288-306.
    [65] Schularick M, Taylor AM (2009) Credit booms gone bust: Monetary policy, leverage cycles and financial crises, 1870-2008. Am Econ Rev 102: 1029-1061. doi: 10.1257/aer.102.2.1029
    [66] Schüler YS, Hiebert PP, Peltonen TA (2015) Characterising the financial cycle: A multivariate and time-varying approach. ECB Working Paper Series 1846, European Central Bank.
    [67] Singh P, Kumar B, Pandey A (2010) Price and volatility spillovers across North American, European and Asian stock markets. Int Rev Financ Anal 19: 55-64. doi: 10.1016/j.irfa.2009.11.001
    [68] Stock JH, Watson MW (1989) New indexes of coincident and leading economic indicators. NBER Macroecon Annu 4: 351-394. doi: 10.1086/654119
    [69] Wang GJ, Xie C, He K, et al. (2018) Extreme risk spillover network: application to financial institutions. Quant Financ 17: 1-23.
    [70] Wang Y, Pan Z, Wu C (2018) Volatility spillover from the US to international stock markets: A heterogeneous volatility spillover GARCH model. J Forecasting 37: 385-400. doi: 10.1002/for.2509
    [71] Wei KCJ, Liu YJ, Yang CC, et al. (1995) Volatility and price change spillover effects across the developed and emerging markets. Pac-Basin Financ J 3: 113-136. doi: 10.1016/0927-538X(94)00029-7
    [72] Wu F, Guan Z, Myers RJ (2011) Volatility spillover effects and cross hedging in corn and crude oil futures. J Futures Mark 31: 1052-1075. doi: 10.1002/fut.20499
    [73] Zhong J, Wang M, Drakeford B, et al. (2019) Spillover effects between oil and natural gas prices: Evidence from emerging and developed markets. Green Financ 1: 30-45. Doi: 10.3934/GF.2019.1.30. doi: 10.3934/GF.2019.1.30
  • Reader Comments
  • © 2019 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2751) PDF downloads(383) Cited by(1)

Article outline

Figures and Tables

Figures(3)  /  Tables(7)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog