Skip to main content
Log in

US partisan conflict shocks and international stock market returns

  • Published:
Empirical Economics Aims and scope Submit manuscript

Abstract

This paper investigates the impact of US partisan conflict index (PCI) on international stock markets. It extracts innovations from a VAR model and estimates regression specifications. The results document that PCI has a substantial explanatory power. This effect is unique given that (i) traditional disagreement measures per se have no explanatory power, and (ii) neither macroeconomic, nor financial uncertainty measures can undermine the power of PCI. The effect appears to be stronger during periods when the Republican Party is in power. Findings further suggest that this linkage could be seen through the prism of both macroeconomic activity and discount rates.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Ang A, Bekaert G (2002) International asset allocation with regime shifts. Rev Financial Stud 15:1137–1187

    Article  Google Scholar 

  • Atmaz A, Basak S (2018) Belief dispersion in the stock market. J Finance 73:1225–1279

    Article  Google Scholar 

  • Azzimonti M (2018) Partisan conflict and private investment. J Monet Econ 93:114–131

    Article  Google Scholar 

  • Azzimonti M (2019a) Partisan conflict, news, and investors’ expectations. J Money Credit Bank 47:1223–1238

    Google Scholar 

  • Azzimonti M (2019b) Does partisan conflict deter FDI inflows to the US? J Int Econ 120:162–178

    Article  Google Scholar 

  • Baker SR, Bloom N, Davis SJ (2016) Measuring economic policy uncertainty. Q J Econ 131:1593–1636

    Article  Google Scholar 

  • Bali TG, Brown SJ, Caglayan MO (2014) Macroeconomic risk and hedge fund returns. J Financial Econ 114:1–19

    Article  Google Scholar 

  • Banerjee S (2011) Learning from prices and the dispersion in beliefs. Rev Financial Stud 24:3025–3068

    Article  Google Scholar 

  • Belsley DA, Kuh E, Welsch RE (1980) Regression diagnostics: identifying influential data and sources of collinearity. Wiley, New York

    Book  Google Scholar 

  • Bilgin MH, Gozgor G, Lau CK, Sheng X (2018) The effects of uncertainty measures on the price of gold. Int Rev Financial Anal 58:1–7

    Article  Google Scholar 

  • Bloom N (2009) The impact of uncertainty shocks. Econometrica 77:623–685

    Article  Google Scholar 

  • Cai Y, Wu Y (2019) Time-varied causality between US partisan conflict shock and crude oil return. Energy Econ. https://doi.org/10.1016/j.eneco.2019.104512

    Article  Google Scholar 

  • Caldara D, Iacoviello M (2018) Measuring geopolitical risk. International Finance Discussion Paper, No. 1222, Board of Governors of the Federal Reserve System

  • Campbell JY, Giglio S, Polk C, Turley R (2018) An intertemporal CAPM with stochastic volatility. J Finance Econ 128:207–233

    Article  Google Scholar 

  • Ceylan Ö (2015) Limited information-processing capacity and asymmetric stock correlations. Quant Finance 15:1031–1039

    Article  Google Scholar 

  • Cheng CHJ, Hankins WB, Chiu C-W (2016) Does US partisan conflict matter for the Euro area? Econ Lett 138:64–67

    Article  Google Scholar 

  • Choi H, Mueller P, Vedolin A (2017) Bond variance risk premiums. Rev Finance 21:987–1022

    Article  Google Scholar 

  • Christiano LJ, Eichenbaum M, Evans CL (2005) Nominal rigidities and the dynamic effects of a shock to monetary policy. J Polit Econ 113:1–45

    Article  Google Scholar 

  • Claude Beaulieu M, Jean-Claude C, Naceur E (2005) The impact of political risk on the volatility of stock returns: the case of Canada. J Int Bus Stud 36:701–718

    Article  Google Scholar 

  • D’Mello R, Toscano F (2020) Economic policy uncertainty and short-term financing: the case of trade credit. J Corp Finance. https://doi.org/10.1016/j.jcorpfin.2020.101686

    Article  Google Scholar 

  • Davis SJ (2016) An index of global economic policy uncertainty. NBER working paper series, working paper 22740

  • Dungey M, Fry R, Gonzalez-Hermosillo B, Martin VL (2005) Empirical modeling of contagion: a review of methodologies. Quant Finance 5:9–24

    Article  Google Scholar 

  • Elliott G, Rothenberg TJ, Stock JH (1996) Efficient tests for an autoregressive unit root. Econometrica 64:813–836

    Article  Google Scholar 

  • Engle R (2002) Dynamic conditional correlation. J Bus Econ Stat 20:339–350

    Article  Google Scholar 

  • Goyal A, Welch I (2008) A comprehensive look at the empirical performance of equity premium prediction. Rev Financial Stud 21:1455–1508

    Article  Google Scholar 

  • Greenwood J, Hercowitz Z, Huffman GW (1988) Investment, capacity utilization, and the real business cycle. Am Econ Rev 78:402–417

    Google Scholar 

  • Gupta R, Muteba Mwamba JW, Wohar ME (2018a) The role of partisan conflict in forecasting the U.S. equity premium: a nonparametric approach. Finance Res Lett 25:131–136

    Article  Google Scholar 

  • Gupta R, Pierdzioch C, Selmi R, Wohar ME (2018b) Does partisan conflict predict a reduction in US stock market (realized) volatility? Evidence from a quantile-on-quantile regression model. North Am J Econ Finance 43:87–96

    Article  Google Scholar 

  • Hoerl AE, Kennard RW (1970) Ridge regression: biased estimation for nonorthogonal problems. Technometrics 12:55–67

    Article  Google Scholar 

  • Jiang X, Shi Y (2018) Does US partisan conflict affect US-China bilateral trade? Int Rev Econ Finance. https://doi.org/10.1016/j.iref.2018.12.005

    Article  Google Scholar 

  • Jiang Y, Ren Y-S, Ma C-Q, Liu J-L, Sharp B (2020) Does the price of strategic commodities respond to U.S. partisan conflict? Resour Policy. https://doi.org/10.1016/j.resourpol.2020.101617

  • Jurado K, Ludvigson SC, Ng S (2015) Measuring uncertainty. Am Econ Rev 105:1177–1216

    Article  Google Scholar 

  • Kang W, Ratti RA (2015) Policy uncertainty in China, oil shocks and stock returns. Econ Transit 23:657–676

    Article  Google Scholar 

  • Karolyi GA, Stulz RM (2003) Are financial assets priced locally or globally? In: Constantinides GM, Harris M, Stulz RM (eds) Handbook of the economics of finance. Elsevier North-Holland, Amsterdam, pp 975–1020

    Google Scholar 

  • Liu L, Zhang T (2015) Economic policy uncertainty and stock market volatility. Financial Res Lett 15:99–105

    Article  Google Scholar 

  • Matousek R, Panopoulou E, Papachristopoulou A (2020) Policy uncertainty and the capital shortfall of global financial firms. J Corp Finance. https://doi.org/10.1016/j.jcorpfin.2020.101558

    Article  Google Scholar 

  • Moore RE, Aguinaldo J (2020) Blue chip economic indicators. https://doi.org/10.7910/DVN/M2WNLO, Harvard Dataverse, V4

  • O’Brien RM (2007) A caution regarding rules of thumb for variance inflation factors. Qual Quant 41:673–690

    Article  Google Scholar 

  • Passari E, Rey H (2015) Financial flows and the international monetary system. Econ J 125:675–698

    Article  Google Scholar 

  • Pastor L, Veronesi P (2018) Political cycles and stock returns. NBER working paper, no. 23184

  • Peng L, Xiong W, Bollerslev T (2007) Investor attention and time-varying comovements. Eur Financial Manag 13:394–422

    Article  Google Scholar 

  • Pham AV (2019) Political risk and cost of equity: the mediating role of political connections. J Corp Finance 56:64–87

    Article  Google Scholar 

  • Santa-Clara P, Valkanov R (2003) The presidential puzzle: political cycles and the stock market. J Finance 58:1841–1872

    Article  Google Scholar 

  • Shanken J (1992) On the estimation of beta-pricing models. Rev Financial Stud 5:1–33

    Article  Google Scholar 

Download references

Funding

The authors did not receive support from any organization for the submitted work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nicholas Apergis.

Ethics declarations

Conflict of interest

The authors have no relevant financial or non-financial interests to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Apergis, N., Chatziantoniou, I. US partisan conflict shocks and international stock market returns. Empir Econ 63, 2817–2854 (2022). https://doi.org/10.1007/s00181-022-02237-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00181-022-02237-1

Keywords

JEL classification

Navigation