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Are there inextricable connections among automobile stocks, crude oil, steel, and the US dollar?

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  • Asadi, Mehrad
  • Balcilar, Mehmet
  • Sheikh, Umaid A.
  • Roubaud, David
  • Ghasemi, Hamid Reza

Abstract

According to the International Organization of Motor Vehicle Manufacturers (OICA), Automobile manufacturers use 40% of steel to make the body structure, 23% to make engines and gears, and 12% for suspensions. We untangled the perceived inextricable connections between crude oil, steel, the US dollar, and stocks of Toyota, Daimler, and Volkswagen as the automobile firms with the largest capitalization by using the time series daily data from 1998 to 2023. We used an augmented version of the Diebold and Yilmaz (2012) connectedness approach, which is based on the Time-Varying Parameter Vector Auto-regression (TVP-VAR) approach as introduced by Antonakakis et al. (2020). Findings suggested that Volkswagen, Daimler, and Toyota are more affected by shocks in steel prices than by USD and oil price shocks, with a spillover of 9%, 11.72%, and 8.72% respectively from steel. The next transmitter is USD, which contributes 4.94%, 6.37% and 3.96% of shocks to Volkswagen, Daimler, and Toyota stocks, and the third variable is the oil price shocks, which contributes 4.25%, 5.41% and 3.50% of spillover effects to Volkswagen, Daimler, and Toyota stocks, respectively. This shows the heterogeneous responses of automobile stocks with the highest capitalization and sales to the error variances transmitted from steel, USD as well as oil. Most notably, overall steel is a net transmitter and USD as net receiver in TYP-VAR system for Toyota and Daimler and can therefore be used as a diversifier. Our findings are impactful for the shareholders as well as portfolio managers for risk reduction and efficient portfolio management.

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  • Asadi, Mehrad & Balcilar, Mehmet & Sheikh, Umaid A. & Roubaud, David & Ghasemi, Hamid Reza, 2023. "Are there inextricable connections among automobile stocks, crude oil, steel, and the US dollar?," Energy Economics, Elsevier, vol. 128(C).
  • Handle: RePEc:eee:eneeco:v:128:y:2023:i:c:s0140988323006746
    DOI: 10.1016/j.eneco.2023.107176
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    References listed on IDEAS

    as
    1. Benjamin Leard & Joshua Linn & Virginia McConnell, 2017. "Fuel Prices, New Vehicle Fuel Economy, and Implications for Attribute-Based Standards," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(3), pages 659-700.
    2. Cho, Jin Seo & Kim, Tae-hwan & Shin, Yongcheol, 2015. "Quantile cointegration in the autoregressive distributed-lag modeling framework," Journal of Econometrics, Elsevier, vol. 188(1), pages 281-300.
    3. Franco Fiordelisi & Giuseppe Galloppo, 2018. "Stock market reaction to policy interventions," The European Journal of Finance, Taylor & Francis Journals, vol. 24(18), pages 1817-1834, December.
    4. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin, 2016. "The impact of oil price shocks on the U.S. stock market: A note on the roles of U.S. and non-U.S. oil production," Economics Letters, Elsevier, vol. 145(C), pages 176-181.
    5. Yu, Lean & Zha, Rui & Stafylas, Dimitrios & He, Kaijian & Liu, Jia, 2020. "Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models," International Review of Financial Analysis, Elsevier, vol. 68(C).
    6. Bouri, Elie & Cepni, Oguzhan & Gabauer, David & Gupta, Rangan, 2021. "Return connectedness across asset classes around the COVID-19 outbreak," International Review of Financial Analysis, Elsevier, vol. 73(C).
    7. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    8. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    9. Baur, Dirk G. & Todorova, Neda, 2018. "Automobile manufacturers, electric vehicles and the price of oil," Energy Economics, Elsevier, vol. 74(C), pages 252-262.
    10. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    11. Chkili, Walid & Nguyen, Duc Khuong, 2014. "Exchange rate movements and stock market returns in a regime-switching environment: Evidence for BRICS countries," Research in International Business and Finance, Elsevier, vol. 31(C), pages 46-56.
    12. Jain, Prachi & Maitra, Debasish & Kang, Sang Hoon, 2023. "Oil price and the automobile industry: Dynamic connectedness and portfolio implications with downside risk," Energy Economics, Elsevier, vol. 119(C).
    13. Ben Cheikh, Nidhaleddine & Ben Naceur, Sami & Kanaan, Oussama & Rault, Christophe, 2021. "Investigating the asymmetric impact of oil prices on GCC stock markets," Economic Modelling, Elsevier, vol. 102(C).
    14. Jiang, Yong & Wang, Gang-Jin & Ma, Chaoqun & Yang, Xiaoguang, 2021. "Do credit conditions matter for the impact of oil price shocks on stock returns? Evidence from a structural threshold VAR model," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 1-15.
    15. Lutz Kilian & Cheolbeom Park, 2009. "The Impact Of Oil Price Shocks On The U.S. Stock Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1267-1287, November.
    16. Lin, Boqiang & Su, Tong, 2020. "The linkages between oil market uncertainty and Islamic stock markets: Evidence from quantile-on-quantile approach," Energy Economics, Elsevier, vol. 88(C).
    17. Fiordelisi, Franco & Minnucci, Federica & Previati, Daniele & Ricci, Ornella, 2020. "Bail-in regulation and stock market reaction," Economics Letters, Elsevier, vol. 186(C).
    18. Robert F. Engle & Simone Manganelli, 2004. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
    19. Elsayed, Ahmed H. & Gozgor, Giray & Lau, Chi Keung Marco, 2022. "Risk transmissions between bitcoin and traditional financial assets during the COVID-19 era: The role of global uncertainties," International Review of Financial Analysis, Elsevier, vol. 81(C).
    20. El Hedi Arouri, Mohamed & Jouini, Jamel & Nguyen, Duc Khuong, 2011. "Volatility spillovers between oil prices and stock sector returns: Implications for portfolio management," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1387-1405.
    21. Smita Mahapatra & Saumitra N. Bhaduri, 2019. "Dynamics of the impact of currency fluctuations on stock markets in India: Assessing the pricing of exchange rate risks," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 19(1), pages 15-23, March.
    22. Arouri, Mohamed El Hedi & Jouini, Jamel & Nguyen, Duc Khuong, 2012. "On the impacts of oil price fluctuations on European equity markets: Volatility spillover and hedging effectiveness," Energy Economics, Elsevier, vol. 34(2), pages 611-617.
    23. Liu, Tangyong & Gong, Xu, 2020. "Analyzing time-varying volatility spillovers between the crude oil markets using a new method," Energy Economics, Elsevier, vol. 87(C).
    24. Haroon, Omair & Rizvi, Syed Aun R., 2020. "COVID-19: Media coverage and financial markets behavior—A sectoral inquiry," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    25. Khraief, Naceur & Shahbaz, Muhammad & Mahalik, Mantu Kumar & Bhattacharya, Mita, 2021. "Movements of oil prices and exchange rates in China and India: New evidence from wavelet-based, non-linear, autoregressive distributed lag estimations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    26. Thian-Hee Yiew & Chee-Yin Yip & Yan-Ling Tan & Muzafar Shah Habibullah & C Alih Khadijah, 2019. "Can oil prices predict the direction of exchange rate movements? An empirical and economic analysis for the case of India," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 812-823, January.
    27. Cunado, Juncal & Perez de Gracia, Fernando, 2014. "Oil price shocks and stock market returns: Evidence for some European countries," Energy Economics, Elsevier, vol. 42(C), pages 365-377.
    28. Suleman, Muhammad Tahir & Rehman, Mobeen Ur & Sheikh, Umaid A. & Kang, Sang Hoon, 2023. "Dynamic time-frequency connectedness between European emissions trading system and sustainability markets," Energy Economics, Elsevier, vol. 123(C).
    29. Nusair, Salah A. & Olson, Dennis, 2022. "Dynamic relationship between exchange rates and stock prices for the G7 countries: A nonlinear ARDL approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    30. Filis, George & Degiannakis, Stavros & Floros, Christos, 2011. "Dynamic correlation between stock market and oil prices: The case of oil-importing and oil-exporting countries," International Review of Financial Analysis, Elsevier, vol. 20(3), pages 152-164, June.
    31. Kirkulak-Uludag, Berna & Safarzadeh, Omid, 2018. "The interactions between OPEC oil price and sectoral stock returns: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 631-641.
    32. Cameron, Ken & Schnusenberg, Oliver, 2009. "Oil prices, SUVs, and Iraq: An investigation of automobile manufacturer oil price sensitivity," Energy Economics, Elsevier, vol. 31(3), pages 375-381, May.
    33. Mohanty, Sunil & Nandha, Mohan & Habis, Essam & Juhabi, Eid, 2014. "Oil price risk exposure: The case of the U.S. Travel and Leisure Industry," Energy Economics, Elsevier, vol. 41(C), pages 117-124.
    34. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    35. Mehmet Balcilar & Zeynel Abidin Ozdemir & Huseyin Ozdemir, 2021. "Dynamic return and volatility spillovers among S&P 500, crude oil, and gold," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 153-170, January.
    36. Kirkulak-Uludag, Berna & Safarzadeh, Omid, 2021. "Exploring shock and volatility transmission between oil and Chinese industrial raw materials," Resources Policy, Elsevier, vol. 70(C).
    37. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    38. Aggarwal, Raj & Akhigbe, Aigbe & Mohanty, Sunil K., 2012. "Oil price shocks and transportation firm asset prices," Energy Economics, Elsevier, vol. 34(5), pages 1370-1379.
    39. Sarwar, Suleman & Shahbaz, Muhammad & Anwar, Awais & Tiwari, Aviral Kumar, 2019. "The importance of oil assets for portfolio optimization: The analysis of firm level stocks," Energy Economics, Elsevier, vol. 78(C), pages 217-234.
    40. Guo, Jin & Tanaka, Tetsuji, 2022. "Do biofuel production and financial speculation in agricultural commodities influence African food prices? New evidence from a TVP-VAR extended joint connectedness approach," Energy Economics, Elsevier, vol. 116(C).
    41. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    42. Pal, Debdatta & Mitra, Subrata K., 2019. "Oil price and automobile stock return co-movement: A wavelet coherence analysis," Economic Modelling, Elsevier, vol. 76(C), pages 172-181.
    43. Bouri, Elie & Lei, Xiaojie & Jalkh, Naji & Xu, Yahua & Zhang, Hongwei, 2021. "Spillovers in higher moments and jumps across US stock and strategic commodity markets," Resources Policy, Elsevier, vol. 72(C).
    44. Sunil K. Mohanty & Mohan Nandha, 2011. "Oil Risk Exposure: The Case of the U.S. Oil and Gas Sector," The Financial Review, Eastern Finance Association, vol. 46(1), pages 165-191, February.
    45. Benlagha, Noureddine & Omari, Salaheddine El, 2022. "Connectedness of stock markets with gold and oil: New evidence from COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 46(PB).
    46. Youssef, Manel & Mokni, Khaled, 2020. "Modeling the relationship between oil and USD exchange rates: Evidence from a regime-switching-quantile regression approach," Journal of Multinational Financial Management, Elsevier, vol. 55(C).
    47. Tiwari, Aviral Kumar & Mishra, Bibhuti Ranjan & Solarin, Sakiru Adebola, 2021. "Analysing the spillovers between crude oil prices, stock prices and metal prices: The importance of frequency domain in USA," Energy, Elsevier, vol. 220(C).
    48. Shahrestani, Parnia & Rafei, Meysam, 2020. "The impact of oil price shocks on Tehran Stock Exchange returns: Application of the Markov switching vector autoregressive models," Resources Policy, Elsevier, vol. 65(C).
    49. Ding, Liang, 2021. "Conditional correlation between exchange rates and stock prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 452-463.
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