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Is factionalism a push for gold price?

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  • Qin, Meng
  • Su, Chi-Wei
  • Tao, Ran
  • Umar, Muhammad

Abstract

This paper investigates the role of factionalism in pushing for gold price (GP) from the perspective of the U.S. partisan conflicts (PCI). We examine the Granger causality between these two variables through the full- and sub-sample rolling-window bootstrap tests, the time-varying relationship between PCI and GP can be observed. There are positive influences from PCI to GP, which indicates that factionalism can be considered as a push for the price of gold. This result is supported by the inter-temporal capital asset pricing model, which underlines that GP will change in the same direction as PCI. Conversely, the negative effects from GP to PCI highlight that gold market can be viewed as a tool to predict the U.S. political conditions. In the context of more serious factionalism in U.S., the interaction mechanism between partisan conflicts and gold price can provide insights for the investors to adjust investment decisions and maintain wealth, and for governments to increase the public confidence and stabilize the civil strife.

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  • Qin, Meng & Su, Chi-Wei & Tao, Ran & Umar, Muhammad, 2020. "Is factionalism a push for gold price?," Resources Policy, Elsevier, vol. 67(C).
    • Handle: RePEc:eee:jrpoli:v:67:y:2020:i:c:s030142071930604x
    DOI: 10.1016/j.resourpol.2020.101679
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    as
    1. Blose, Laurence E., 2010. "Gold prices, cost of carry, and expected inflation," Journal of Economics and Business, Elsevier, vol. 62(1), pages 35-47, January.
    2. Wu, Shan & Tong, Mu & Yang, Zhongyi & Derbali, Abdelkader, 2019. "Does gold or Bitcoin hedge economic policy uncertainty?," Finance Research Letters, Elsevier, vol. 31(C), pages 171-178.
    3. Yimin Zhou & Liyan Han & Libo Yin, 2018. "Is the relationship between gold and the U.S. dollar always negative? The role of macroeconomic uncertainty," Applied Economics, Taylor & Francis Journals, vol. 50(4), pages 354-370, January.
    4. Bouoiyour, Jamal & Selmi, Refk & Wohar, Mark E., 2018. "Measuring the response of gold prices to uncertainty: An analysis beyond the mean," Economic Modelling, Elsevier, vol. 75(C), pages 105-116.
    5. Libing Fang & Baizhu Chen & Honghai Yu & Yichuo Qian, 2018. "The importance of global economic policy uncertainty in predicting gold futures market volatility: A GARCH‐MIDAS approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 413-422, March.
    6. Baur, Dirk G. & McDermott, Thomas K., 2010. "Is gold a safe haven? International evidence," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1886-1898, August.
    7. Rangan Gupta & Chi Keung Marco Lau & Stephen M. Miller & Mark E. Wohar, 2019. "US Fiscal Policy and Asset Prices: The Role of Partisan Conflict," International Review of Finance, International Review of Finance Ltd., vol. 19(4), pages 851-862, December.
    8. Michele Piffer & Maximilian Podstawski, 2018. "Identifying Uncertainty Shocks Using the Price of Gold," Economic Journal, Royal Economic Society, vol. 128(616), pages 3266-3284, December.
    9. Cifarelli, Giulio & Paladino, Giovanna, 2010. "Oil price dynamics and speculation: A multivariate financial approach," Energy Economics, Elsevier, vol. 32(2), pages 363-372, March.
    10. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    11. Jason Bram & James A. Orr & Carol Rapaport, 2002. "Measuring the effects of the September 11 attack on New York City," Economic Policy Review, Federal Reserve Bank of New York, vol. 8(Nov), pages 5-20.
    12. Michael D. Bordo, 2016. "The Operation and Demise of the Bretton Woods System; 1958 to 1971," Economics Working Papers 16116, Hoover Institution, Stanford University.
    13. Pesaran, M. Hashem & Timmermann, Allan, 2005. "Small sample properties of forecasts from autoregressive models under structural breaks," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 183-217.
    14. Gozgor, Giray & Lau, Chi Keung Marco & Sheng, Xin & Yarovaya, Larisa, 2019. "The role of uncertainty measures on the returns of gold," Economics Letters, Elsevier, vol. 185(C).
    15. Joscha Beckmann & Theo Berger & Robert Czudaj, 2019. "Gold price dynamics and the role of uncertainty," Quantitative Finance, Taylor & Francis Journals, vol. 19(4), pages 663-681, April.
    16. Wang, Yu Shan & Chueh, Yen Ling, 2013. "Dynamic transmission effects between the interest rate, the US dollar, and gold and crude oil prices," Economic Modelling, Elsevier, vol. 30(C), pages 792-798.
    17. Michael G. Ellis, 2008. "The Three Trillion Dollar War: The True Cost of the Iraq Conflict," Journal of Economic Issues, Taylor & Francis Journals, vol. 42(4), pages 1180-1182, December.
    18. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    19. Brodsky, David A. & Sampson, Gary P., 1980. "The value of gold as a reserve asset," World Development, Elsevier, vol. 8(3), pages 175-192, March.
    20. Roh, Tai-Yong & Byun, Suk Joon & Xu, Yahua, 2020. "Downside uncertainty shocks in the oil and gold markets," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 291-307.
    21. Jiang, Yong & Ren, Yi-Shuai & Ma, Chao-Qun & Liu, Jiang-Long & Sharp, Basil, 2020. "Does the price of strategic commodities respond to U.S. partisan conflict?," Resources Policy, Elsevier, vol. 66(C).
    22. Beckmann, Joscha & Berger, Theo & Czudaj, Robert, 2015. "Does gold act as a hedge or a safe haven for stocks? A smooth transition approach," Economic Modelling, Elsevier, vol. 48(C), pages 16-24.
    23. Balcilar, Mehmet & Gupta, Rangan & Pierdzioch, Christian, 2016. "Does uncertainty move the gold price? New evidence from a nonparametric causality-in-quantiles test," Resources Policy, Elsevier, vol. 49(C), pages 74-80.
    24. Iqbal, Javed, 2017. "Does gold hedge stock market, inflation and exchange rate risks? An econometric investigation," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 1-17.
    25. Devadoss, Stephen & Holland, David W. & Stodick, Leroy & Ghosh, Joydeep, 2006. "A General Equilibrium Analysis of Foreign and Domestic Demand Shocks Arising from Mad Cow Disease in the United States," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(2), pages 1-13, August.
    26. Azzimonti, Marina, 2019. "Does partisan conflict deter FDI inflows to the US?," Journal of International Economics, Elsevier, vol. 120(C), pages 162-178.
    27. Cheng, Chak Hung Jack & Hankins, William B. & Chiu, Ching-Wai (Jeremy), 2016. "Does US partisan conflict matter for the Euro area?," Economics Letters, Elsevier, vol. 138(C), pages 64-67.
    28. Białkowski, Jędrzej & Bohl, Martin T. & Stephan, Patrick M. & Wisniewski, Tomasz P., 2015. "The gold price in times of crisis," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 329-339.
    29. Su, Chi-Wei & Khan, Khalid & Tao, Ran & Nicoleta-Claudia, Moldovan, 2019. "Does geopolitical risk strengthen or depress oil prices and financial liquidity? Evidence from Saudi Arabia," Energy, Elsevier, vol. 187(C).
    30. Balcilar, Mehmet & Bonato, Matteo & Demirer, Riza & Gupta, Rangan, 2017. "The effect of investor sentiment on gold market return dynamics: Evidence from a nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 51(C), pages 77-84.
    31. Mahmod Qadan & Joseph Yagil, 2012. "Fear sentiments and gold price: testing causality in-mean and in-variance," Applied Economics Letters, Taylor & Francis Journals, vol. 19(4), pages 363-366, March.
    32. Bahloul, Walid & Balcilar, Mehmet & Cunado, Juncal & Gupta, Rangan, 2018. "The role of economic and financial uncertainties in predicting commodity futures returns and volatility: Evidence from a nonparametric causality-in-quantiles test," Journal of Multinational Financial Management, Elsevier, vol. 45(C), pages 52-71.
    33. Jurgen Brauer & John Tepper Marlin, 1994. "Employment Effects of US Military Spending Reductions in the Early 1990s: Some Methodological Considerations," Palgrave Macmillan Books, in: Manas Chatterji & Henk Jager & Annemarie Rima (ed.), The Economics of International Security, chapter 20, pages 212-222, Palgrave Macmillan.
    34. Hansen, Bruce E, 2002. "Tests for Parameter Instability in Regressions with I(1) Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 45-59, January.
    35. Mehmet Balcilar & Seyi Saint Akadiri & Rangan Gupta & Stephen M. Miller, 2019. "Partisan Conflict and Income Inequality in the United States: A Nonparametric Causality-in-Quantiles Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(1), pages 65-82, February.
    36. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    37. Bredin, Don & Conlon, Thomas & Potì, Valerio, 2015. "Does gold glitter in the long-run? Gold as a hedge and safe haven across time and investment horizon," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 320-328.
    38. Raza, Naveed & Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Syed Ali, 2018. "Do commodities effectively hedge real estate risk? A multi-scale asymmetric DCC approach," Resources Policy, Elsevier, vol. 57(C), pages 10-29.
    39. Arif Billah Dar & Debasish Maitra, 2017. "Is gold a weak or strong hedge and safe haven against stocks? Robust evidences from three major gold-consuming countries," Applied Economics, Taylor & Francis Journals, vol. 49(53), pages 5491-5503, November.
    40. Zhao, Yanping & Chang, Hsu-Ling & Su, Chi-Wei & Nian, Rui, 2015. "Gold bubbles: When are they most likely to occur?," Japan and the World Economy, Elsevier, vol. 34, pages 17-23.
    41. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Arslanturk, Yalcin, 2010. "Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window," Energy Economics, Elsevier, vol. 32(6), pages 1398-1410, November.
    42. Wei Su, Chi & Wang, Xiao-Qing & Tao, Ran & Oana-Ramona, Lobonţ, 2019. "Do oil prices drive agricultural commodity prices? Further evidence in a global bio-energy context," Energy, Elsevier, vol. 172(C), pages 691-701.
    43. Raza, Syed Ali & Shah, Nida & Shahbaz, Muhammad, 2018. "Does economic policy uncertainty influence gold prices? Evidence from a nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 57(C), pages 61-68.
    44. Bilgin, Mehmet Huseyin & Gozgor, Giray & Lau, Chi Keung Marco & Sheng, Xin, 2018. "The effects of uncertainty measures on the price of gold," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 1-7.
    45. Ghazi Shukur & Panagiotis Mantalos, 2000. "A simple investigation of the Granger-causality test in integrated-cointegrated VAR systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(8), pages 1021-1031.
    46. Niyati Bhanja & Arif Dar, 2015. "“The beauty of gold is, it loves bad news”: evidence from three major gold consumers," Economic Change and Restructuring, Springer, vol. 48(3), pages 187-208, November.
    47. Yong Jiang & Yi-Shuai Ren & Chao-Qun Ma & Jiang-Long Liu & Basil Sharp, 2018. "Does the price of strategic commodities respond to U.S. Partisan Conflict?," Papers 1810.08396, arXiv.org, revised Feb 2020.
    48. Thomas Conlon & Brian M. Lucey & Gazi Salah Uddin, 2018. "Is gold a hedge against inflation? A wavelet time-scale perspective," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 317-345, August.
    49. Laurel Harbridge & Neil Malhotra, 2011. "Electoral Incentives and Partisan Conflict in Congress: Evidence from Survey Experiments," American Journal of Political Science, John Wiley & Sons, vol. 55(3), pages 494-510, July.
    50. Qin, Meng & Su, Chi-Wei & Hao, Lin-Na & Tao, Ran, 2020. "The stability of U.S. economic policy: Does it really matter for oil price?," Energy, Elsevier, vol. 198(C).
    51. Mehmet Balcilar & Zeynel Ozdemir, 2013. "The export-output growth nexus in Japan: a bootstrap rolling window approach," Empirical Economics, Springer, vol. 44(2), pages 639-660, April.
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    More about this item

    Keywords

    Partisan conflicts; Gold price; Granger causality; Time-varying;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • N42 - Economic History - - Government, War, Law, International Relations, and Regulation - - - U.S.; Canada: 1913-

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