Janus, Jakub (2022): Cross-border flights to safe assets in bond markets: evidence from emerging market economies.
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Abstract
This paper investigates cross-border flights to safety (FTS) in sovereign bond markets from the perspective of emerging market economies (EMEs). Accurate identification of such events provides a detailed picture of sharp changes in prices of international assets and potential sources of EMEs' financial fragility. We construct new measures of the FTS occurrence and magnitude by focusing on extreme movements in long-term bond markets vis-à-vis the US for a diverse group of 21 EMEs. An adaptable time-series anomaly detection algorithm is used to recognize patterns in daily data on bond returns from 2002 to 2021. The paper shows that the FTS episodes in the entire sample of EMEs turn out to be short-lived and map well into periods of international financial and economic downturns. We demonstrate the importance of global uncertainty shocks and the US dollar exchange rate fluctuations in driving FTS, with the relative importance of the latter factor increasing after the Global Financial Crisis. The results from panel data models indicate that a range of country-specific economic, financial, and political factors matter visibly more for the FTS magnitude than their mere occurrence. This supports the notion that flights from bond markets are triggered mainly by shocks originating outside of EMEs, but the magnitude of these events may materially depend on their domestic conditions, including macroeconomic stability and policy factors. However, the role of economic fundamentals in driving FTS seems to subside post-2010 at the expense of financial factors. As a by-product, we present a database on FTS episodes in bond markets.
Item Type: | MPRA Paper |
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Original Title: | Cross-border flights to safe assets in bond markets: evidence from emerging market economies |
Language: | English |
Keywords: | emerging market economies; flight to safety; safe assets; bond markets; foreign-exchange markets; global risk |
Subjects: | E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E42 - Monetary Systems ; Standards ; Regimes ; Government and the Monetary System ; Payment Systems F - International Economics > F3 - International Finance > F32 - Current Account Adjustment ; Short-Term Capital Movements F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F41 - Open Economy Macroeconomics G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 113875 |
Depositing User: | Jakub Janus |
Date Deposited: | 27 Jul 2022 23:06 |
Last Modified: | 27 Jul 2022 23:06 |
References: | Adrian, T., Crump, R. K., & Vogt, E. (2019). Nonlinearity and Flight-to-Safety in the Risk-Return Trade-Off for Stocks and Bonds. Journal of Finance, 74(4), 1931–1973. https://doi.org/10.1111/jofi.12776 Aizenman, J., Jinjarak, Y., Park, D., & Zheng, H. (2021). Good-bye original sin, hello risk on-off, financial fragility, and crises? Journal of International Money and Finance, 117, 102442. https://doi.org/10.1016/j.jimonfin.2021.102442 Avdjiev, S., Bruno, V., Koch, C., & Shin, H. S. (2019). The Dollar Exchange Rate as a Global Risk Factor: Evidence from Investment. IMF Economic Review, 67(1), 151–173. https://doi.org/10.1057/s41308-019-00074-4 Baele, L., Bekaert, G., Inghelbrecht, K., & Wei, M. (2020). Flights to Safety. Review of Financial Studies, 33(2), 689–746. https://doi.org/10.1093/rfs/hhz055 Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. Quarterly Journal of Economics, 131(4), 1593–1636. https://doi.org/10.1093/qje/qjw024 Baumeister, C., Korobilis, D., & Lee, T. K. (2020). Energy Markets and Global Economic Conditions. The Review of Economics and Statistics, 1–45. https://doi.org/10.1162/rest_a_00977 Baur, D. G., & Lucey, B. M. (2010). Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financial Review, 45(2), 217–229. https://doi.org/10.1111/j.1540-6288.2010.00244.x Blázquez-García, A., Conde, A., Mori, U., & Lozano, J. A. (2021). A Review on Outlier/Anomaly Detection in Time Series Data. ACM Computing Surveys, 54(3). https://doi.org/10.1145/3444690 Boucher, C., & Tokpavi, S. (2019). Stocks and bonds: Flight-to-safety for ever? Journal of International Money and Finance, 95, 27–43. https://doi.org/10.1016/j.jimonfin.2019.03.002 Brunnermeier, M., & Huang, L. (2019). A Global Safe Asset for and from Emerging Market Economies. In Á. Aguirre, M. Brunnermeier, & D. Saravia (Eds.), Monetary Policy and Financial Stability: Transmission Mechanisms and Policy Implications (pp. 111–167). https://doi.org/10.3386/w25373 Bruno, V., & Shin, H. S. (2015). Capital flows and the risk-taking channel of monetary policy. Journal of Monetary Economics, 71, 119–132. https://doi.org/10.1016/j.jmoneco.2014.11.011 Caballero, R., & Simsek, A. (2020). A Model of Fickle Capital Flows and Retrenchment. Journal of Political Economy, 128(6), 2288–2328. https://doi.org/10.1086/705719 Calvo, G. A., Izquierdo, A., Talvi, E., Aghion, P., Devereux, M., & Perri, F. (2006). Sudden stops and Phoenix Miracles in emerging markets. American Economic Review, 96(2), 405–410. https://doi.org/10.1257/000282806777211856 Dhar, A. (2021). Identification of Extreme Capital Flows in Emerging Markets. International Review of Economics and Finance, 71, 359–384. https://doi.org/10.1016/j.iref.2020.09.002 Dimic, N., Piljak, V., Swinkels, L., & Vulanovic, M. (2021). The structure and degree of dependence in government bond markets. Journal of International Financial Markets, Institutions and Money, 74, 101385. https://doi.org/10.1016/j.intfin.2021.101385 Du, W., & Schreger, J. (2016). Local Currency Sovereign Risk. Journal of Finance, 71(3), 1027–1070. https://doi.org/10.1111/jofi.12389 Eichengreen, B., Gupta, P., & Masetti, O. (2018). Are Capital Flows Fickle? Increasingly? and Does the Answer Still Depend on Type? Asian Economic Papers, 17(1), 22–41. https://doi.org/10.1162/asep_a_00583 Ferriani, F. (2021). From taper tantrum to Covid-19: Portfolio flows to emerging markets in periods of stress. Journal of International Financial Markets, Institutions and Money, 74, 101391. https://doi.org/10.1016/j.intfin.2021.101391 Forbes, K. J., & Rigobon, R. (2002). No contagion, only interdependence: Measuring stock market comovements. Journal of Finance, 57(5), 2223–2261. https://doi.org/10.1111/0022-1082.00494 Forbes, K. J., & Warnock, F. E. (2012). Capital flow waves: Surges, stops, flight, and retrenchment. Journal of International Economics, 88(2), 235–251. https://doi.org/10.1016/j.jinteco.2012.03.006 Forbes, K. J., & Warnock, F. E. (2021). Capital flow waves—or ripples? Extreme capital flow movements since the crisis. Journal of International Money and Finance, 116, 102394. https://doi.org/10.1016/j.jimonfin.2021.102394 Friedrich, C., & Guérin, P. (2020). The Dynamics of Capital Flow Episodes. Journal of Money, Credit and Banking, 52(5), 969–1003. https://doi.org/10.1111/jmcb.12614 Gadanecz, B., Miyajima, K., & Shu, C. (2018). Emerging market local currency sovereign bond yields: The role of exchange rate risk. International Review of Economics and Finance, 57, 371–401. https://doi.org/10.1016/j.iref.2018.02.004 Gelos, G., Gornicka, L., Koepke, R., Sahay, R., & Sgherri, S. (2022). Capital flows at risk: Taming the ebbs and flows. Journal of International Economics, 134, 103555. https://doi.org/10.1016/j.jinteco.2021.103555 Ghosh, A. R., Qureshi, M. S., Kim, J. Il, & Zalduendo, J. (2014). Surges. Journal of International Economics, 92(2), 266–285. https://doi.org/10.1016/j.jinteco.2013.12.007 Goldberg, L. S., & Krogstrup, S. (2018). International Capital Flow Pressures. NBER Working Paper Series, (24286). https://doi.org/10.3386/w24286 Habib, M. M., Stracca, L., & Venditti, F. (2020). The fundamentals of safe assets. Journal of International Money and Finance, 102, 102119. https://doi.org/10.1016/j.jimonfin.2019.102119 Hamilton, J. D. (2018). Why you should never use the Hodrick-Prescott filter. Review of Economics and Statistics, 100(5), 831–843. https://doi.org/10.1162/rest_a_00706 He, Z., Nagel, S., & Song, Z. (2021). Treasury inconvenience yields during the COVID-19 crisis. Journal of Financial Economics. https://doi.org/10.1016/j.jfineco.2021.05.044 Iturria, A., Carrasco, J., Charramendieta, S., Conde, A., & Herrera, F. (2020). otsad: A package for online time-series anomaly detectors. Neurocomputing, 374, 49–53. https://doi.org/10.1016/j.neucom.2019.09.032 Janus, J. (2021). The COVID-19 shock and long-term interest rates in emerging market economies. Finance Research Letters, 43, 101976. https://doi.org/10.1016/j.frl.2021.101976 Jiang, Z., Krishnamurthy, A., & Lustig, H. (2021). Foreign Safe Asset Demand and the Dollar Exchange Rate. Journal of Finance, LXXVI(3), 1049–1089. https://doi.org/10.1111/jofi.13003 Jurado, K., Ludvigson, S. C., & Ng, S. (2015). Measuring uncertainty. American Economic Review, 105(3), 1177–1216. https://doi.org/10.1257/aer.20131193 Krishnamurthy, A., & Vissing-Jorgensen, A. (2012). The aggregate demand for Treasury debt. Journal of Political Economy, 120(2), 233–267. https://doi.org/10.1086/666526 Li, S., de Haan, J., & Scholtens, B. (2019). Sudden stops of international fund flows: Occurrence and magnitude. Review of International Economics, 27(1), 468–497. https://doi.org/10.1111/roie.12385 Miranda-Agrippino, S., & Rey, H. (2020). U.S. Monetary Policy and the Global Financial Cycle. Review of Economic Studies, 87(6), 2754–2776. https://doi.org/10.1093/restud/rdaa019 Raza, H., Prasad, G., & Li, Y. (2015). EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments. Pattern Recognition, 48(3), 659–669. https://doi.org/10.1016/j.patcog.2014.07.028 Śmiech, S., & Papież, M. (2017). In search of hedges and safe havens: Revisiting the relations between gold and oil in the rolling regression framework. Finance Research Letters, 20, 238–244. https://doi.org/10.1016/j.frl.2016.10.006 Soylu, P. K., & Güloğlu, B. (2019). Financial contagion and flight to quality between emerging markets and U.S. bond market. North American Journal of Economics and Finance, 50, 100992. https://doi.org/10.1016/j.najef.2019.100992 Wooldridge, J. M. (1999). Distribution-free estimation of some nonlinear panel data models. Journal of Econometrics, 90(1), 77–97. https://doi.org/10.1016/S0304-4076(98)00033-5 Wu, J. C., & Xia, F. D. (2016). Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound. Journal of Money, Credit and Banking, 48(2–3), 253–291. https://doi.org/10.1111/jmcb.12300 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/113875 |