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Cross-category, trans-pacific spillovers of policy uncertainty and financial market volatility. (English) Zbl 1460.91268

Summary: Using generalised variance decompositions from vector autoregressions, we analyse cross-country, cross-category spillovers of economic policy uncertainty (EPU) and financial market volatility between the US and Japan. Our model includes indices of monetary, fiscal and trade policy uncertainty for each country, as well as three measures of option-implied stock market and exchange rate volatility, respectively. We find that the financial market volatility indices are usually substantial net spillover transmitters towards the total group of EPU measures. However, the Japanese equity and especially the FX volatility index are typically more affected by EPU spillovers than the US VXO. Our results also reveal that, compared to within-country spillovers, cross-country spillovers of EPU are relatively small and less volatile. Finally, we show that the direction of net EPU spillovers between the US and Japan is both time- and category-dependent with different EPU categories acting as strong sources of uncertainty spillovers throughout the sample period.

MSC:

91G15 Financial markets
91B64 Macroeconomic theory (monetary models, models of taxation)

Software:

ForceAtlas2; Gephi
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References:

[1] Amengual, D.; Xiu, D., Resolution of policy uncertainty and sudden declines in volatility, J Econ, 203, 2, 297-315 (2018) · Zbl 1386.62035
[2] Arbatli, E., Davis, S., Ito, A., Miake, N. and Saito, I. (2017). Policy uncertainty in Japan. NBER working paper, no. 23411
[3] Azzimonti, M., Partisan conflict and private investment, J Monet Econ, 93, 114-131 (2017)
[4] Baker, S.; Bloom, N.; Canes-Wrone, B.; Davis, S.; Rodden, J., Why has US policy uncertainty risen since 1960?, American Economic Review: Papers & Proceedings, 104, 5, 56-60 (2014)
[5] Baker, S.; Bloom, N.; Davis, S., Measuring economic policy uncertainty, Q J Econ, 131, 4, 1593-1636 (2016)
[6] Balli, F.; Uddin, G.; Mudassar, H.; Yoon, S., Cross-country determinants of economic policy uncertainty spillovers, Econ Lett, 156, 179-183 (2017)
[7] Beckmann, J.; Czudaj, R., Exchange rate expectations and economic policy uncertainty, Eur J Polit Econ, 47, 148-152 (2017)
[8] Belke, A.; Osowski, T., International effects of euro area versus U.S. policy uncertainty: a FAVAR approach, Econ Inq, 57, 1, 453-481 (2019)
[9] Belke, A.; Dubova, I.; Osowski, T., Policy uncertainty and international financial markets: the case of Brexit, Appl Econ, 50, 34-35, 3752-3770 (2018)
[10] Bloom, N., The impact of uncertainty shocks, Econometrica, 77, 3, 623-685 (2009) · Zbl 1176.91114
[11] Bloom, N., Fluctuations in uncertainty, J Econ Perspect, 28, 2, 153-176 (2014)
[12] Bown, C.; Bown, C., Introduction, Economics and policy in the age of trump, 9-20 (2017), London, UK: CEPR Press, London, UK
[13] Brogaard, J.; Detzel, A., The asset-pricing implications of government economic policy uncertainty, Manag Sci, 61, 1, 3-18 (2015)
[14] Clausen V, Schlösser A, Thiem C (Forthcoming) Economic policy uncertainty in the euro area: cross-country spillovers and macroeconomic impact. Journal of Economics and Statistics
[15] Colombo, V., Economic policy uncertainty in the US: does it matter for the euro area?, Econ Lett, 121, 39-42 (2013)
[16] Davis, S. J. (2017). Regulatory complexity and policy uncertainty: headwinds of our own making. Becker Friedman Institute for Research in economics working paper, no. 2723980, 29 April
[17] Diebold, FX; Yilmaz, K., Measuring financial asset return and volatility spillovers, with application to global equity markets, Econ J, 119, 534, 158-171 (2009)
[18] Diebold, FX; Yilmaz, K., Better to give than to receive: predictive directional measurement of volatility spillovers, Int J Forecast, 28, 1, 57-66 (2012)
[19] Diebold, FX; Yilmaz, K., On the network topology of variance decompositions: measuring the connectedness of financial firms, J Econ, 182, 1, 119-134 (2014) · Zbl 1311.91196
[20] Diebold, FX; Yilmaz, K., Financial and macroeconomic connectedness: a network approach to measurement and monitoring (2015), New York, US: Oxford University Press, New York, US · Zbl 1418.91009
[21] Diebold, FX; Yilmaz, K., Trans-Atlantic equity volatility connectedness: U.S. and European financial institutions, 2004-2014, Journal of Financial Econometrics, 14, 1, 81-127 (2016)
[22] Diebold, F. X., Liu, L. and Yilmaz, K. (2017). Commodity connectedness. NBER working paper, no. 23685
[23] Funke, M.; Schularick, M.; Trebesch, C., Going to extremes: politics after financial crises, 1870-2014, Eur Econ Rev, 88, 227-260 (2016)
[24] Husted L, Rogers J, Sun B (2016) Measuring cross country monetary policy uncertainty. Federal Reserve Board IFDP note, pp 2016-11-23
[25] Iwaisako, T., Comparing fiscal problems in Japan and the United States, Cline, W., Fukao, K., Iwaisako, T., Kuttner, N., Posen, A. and Schott, J. (eds.). Lessons from decades lost: economic challenges and opportunities facing Japan and the United States, pp. 43-55. Peterson Institute for International Economics, briefing, no, 14-14 (2014), US: Washington D.C, US
[26] Jacomy, M.; Venturini, T.; Heymann, S.; Bastian, M., ForceAtlas2, a continuous graph layout algorithm for Handy network visualization designed for the Gephi software, PLoS One, 9, 6 (2014)
[27] Kido, Y., On the link between the US economic policy uncertainty and exchange rates, Econ Lett, 144, 49-52 (2016)
[28] Klößner, S.; Sekkel, R., International spillovers of policy uncertainty, Econ Lett, 124, 3, 508-512 (2014)
[29] Knight, F., Risk, uncertainty and profit. Reprint: Augustus M. Kelly, 1964 (1921), New York: US, New York
[30] Koop, G.; Pesaran, H.; Potter, S., Impulse response analysis in nonlinear multivariate models, J Econ, 74, 119-147 (1996) · Zbl 0865.62086
[31] Krol, R., Economic policy uncertainty and exchange rate volatility, International Finance, 17, 2, 241-255 (2014)
[32] Kuttner, K., Monetary policy during Japan’s great recession: from self-induced paralysis to Rooseveltian resolve, Cline, W., Fukao, K., Iwaisako, T., Kuttner, N., Posen, A. and Schott, J. (eds.). Lessons from decades lost: economic challenges and opportunities facing Japan and the United States, pp. 66-80. Peterson Institute for International Economics, briefing, no, 14-14 (2014), US: Washington D.C, US
[33] Kuttner, K.; Posen, A., Fiscal policy effectiveness in Japan, Journal of the Japanese and International Economies, 16, 536-558 (2002)
[34] Lanne, M.; Nyberg, H., Generalized forecast error variance decomposition for linear and nonlinear multivariate models, Oxf Bull Econ Stat, 78, 4, 595-603 (2016)
[35] Lawrence, R.; Frankel, J.; Orszag, P., International trade policy in the 1990s, 277-327 (2002), Cambridge, US: MIT Press, Cambridge, US
[36] Liow, K.; Liao, W-C; Huang, Y., Dynamics of international spillovers and interaction: evidence from financial market stress and economic policy uncertainty, Econ Model, 68, 96-116 (2018)
[37] Mikitani, R. and Kuwayama, P. (1998). Japan’s new central banking law: a critical view. Center on Japanese economy and business, Columbia business school, working paper, no. 145
[38] Nodari, G., Financial regulation policy uncertainty and credit spreads in the US, J Macroecon, 41, 122-132 (2014)
[39] Pastor, L.; Veronesi, P., Policy uncertainty and risk premia, J Financ Econ, 110, 520-545 (2013)
[40] Pesaran, H.; Shin, Y., Generalized impulse response analysis in linear multivariate models, Econ Lett, 58, 17-29 (1998) · Zbl 0903.90028
[41] Shiller, R., From efficient markets theory to behavioral finance, J Econ Perspect, 17, 1, 83-104 (2003)
[42] Thiem C (2018) Cross-category spillovers of economic policy uncertainty. Ruhr Economic Papers:744
[43] Thiem C (2019) In: University of Duisburg-Essen (ed) Empirical essays on the influence of uncertainty in the world economy. Unpublished Doctoral Dissertation, Essen, Germany
[44] Yin, L.; Han, L., Spillovers of macroeconomic uncertainty among major economies, Appl Econ Lett, 21, 13, 938-944 (2014)
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