Econometric Model Using Arbitrage Pricing Theory and Quantile Regression to Estimate the Risk Factors Driving Crude Oil Returns
DOI: http://dx.doi.org/10.62527/joiv.8.1.2268
Abstract
This work presents a novel approach to determining the risk and return of crude oil stocks by employing Arbitrage Pricing Theory and Quantile Regression. Arbitrage Pricing Theory identifies the risk factors likely to impact crude oil returns. Subsequently, Quantile Regression estimates the relationship between the selected factors and the returns across different distribution quantiles. The West Texas Intermediate (WTI) crude oil price is used in this study as a benchmark for crude oil prices. WTI’s price fluctuations can significantly impact the performance of global crude oil stocks and, subsequently, the global economy. Various statistical measures are used in this study to determine the proposed model's stability. The results show that changes in WTI returns can have varying effects depending on market conditions and levels of volatility. This study emphasizes the influence of structural discontinuities on returns. These are likely generated by changes in the global economy and the unpredictable demand for crude oil during the pandemic. The inclusion of pandemic, geopolitical, and inflation-related explanatory variables adds uniqueness to the study as it considers current global events that can affect crude oil returns. Findings show that the key factors that pose significant risks to returns are industrial production, inflation, the global price of energy, the shape of the yield curve, and global economic policy uncertainty. This implies that while making investment decisions in WTI futures, investors should pay particular attention to these elements.
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L.-T. Zhao, Y.-Y. Xing, Q.-R. Zhao, and X.-H. Chen, “Dynamic impacts of online investor sentiment on international crude oil prices,” Resources Policy, vol. 82, p. 103506, May 2023, doi: 10.1016/j.resourpol.2023.103506.
W. Zhang and S. Hamori, “Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany,” International Review of Financial Analysis, vol. 74, p. 101702, Mar. 2021, doi: 10.1016/j.irfa.2021.101702.
X. Zhang, Z. Zhang, and H. Zhou, “Oil price uncertainty and cash holdings: Evidence from China,” Energy Econ, vol. 87, p. 104732, Mar. 2020, doi: 10.1016/j.eneco.2020.104732.
M. Yu, M. Umair, Y. Oskenbayev, and Z. Karabayeva, “Exploring the nexus between monetary uncertainty and volatility in global crude oil: A contemporary approach of regime-switching,” Resources Policy, vol. 85, p. 103886, Aug. 2023, doi: 10.1016/j.resourpol.2023.103886.
Z. Xiao, H. Guo, and M. S. Lam, “Quantile Regression and Value at Risk,” in Handbook of Financial Econometrics and Statistics, New York, NY: Springer New York, 2015, pp. 1143–1167. doi: 10.1007/978-1-4614-7750-1_41.
Y. Wei, S. Qin, X. Li, S. Zhu, and G. Wei, “Oil price fluctuation, stock market and macroeconomic fundamentals: Evidence from China before and after the financial crisis,” Financ Res Lett, vol. 30, pp. 23–29, Sep. 2019, doi: 10.1016/j.frl.2019.03.028.
K.-H. Wang, C.-W. Su, Y. Xiao, and L. Liu, “Is the oil price a barometer of China’s automobile market? From a wavelet-based quantile-on-quantile regression perspective,” Energy, vol. 240, p. 122501, Feb. 2022, doi: 10.1016/j.energy.2021.122501.
K.-H. Wang, C.-W. Su, and M. Umar, “Geopolitical risk and crude oil security: A Chinese perspective,” Energy, vol. 219, p. 119555, Mar. 2021, doi: 10.1016/j.energy.2020.119555.
K.-H. Wang, L. Liu, X. Li, and L. Oana-Ramona, “Do oil price shocks drive unemployment? Evidence from Russia and Canada,” Energy, vol. 253, p. 124107, Aug. 2022, doi: 10.1016/j.energy.2022.124107.
Y. Sun, P. Gao, S. A. Raza, N. Shah, and A. Sharif, “The asymmetric effects of oil price shocks on the world food prices: Fresh evidence from quantile-on-quantile regression approach,” Energy, vol. 270, p. 126812, May 2023, doi: 10.1016/j.energy.2023.126812.
J. Sørensen & V. Johansen, “Relationship Between Money Supply and Asset Prices in Developed Countries ,” 2021.
S. Singhal, S. Choudhary, and P. C. Biswal, “Return and volatility linkages among International crude oil price, gold price, exchange rate and stock markets: Evidence from Mexico,” Resources Policy, vol. 60, pp. 255–261, Mar. 2019, doi: 10.1016/j.resourpol.2019.01.004.
S. J. H. Shahzad, M. A. Naeem, Z. Peng, and E. Bouri, “Asymmetric volatility spillover among Chinese sectors during COVID-19,” International Review of Financial Analysis, vol. 75, p. 101754, May 2021, doi: 10.1016/j.irfa.2021.101754.
A. A. Salisu, R. Swaray, and T. F. Oloko, “Improving the predictability of the oil–US stock nexus: The role of macroeconomic variables,” Econ Model, vol. 76, pp. 153–171, Jan. 2019, doi: 10.1016/j.econmod.2018.07.029.
A. A. Salisu, A. Olaniran, and J. P. Tchankam, “Oil tail risk and the tail risk of the US Dollar exchange rates,” Energy Econ, vol. 109, p. 105960, May 2022, doi: 10.1016/j.eneco.2022.105960.
R. A. Ratti and J. L. Vespignani, “Oil prices and global factor macroeconomic variables,” Energy Econ, vol. 59, pp. 198–212, Sep. 2016, doi: 10.1016/j.eneco.2016.06.002.
K. P. Prabheesh, R. Padhan, and B. Garg, “COVID-19 and the Oil Price – Stock Market Nexus: Evidence From Net Oil-Importing Countries,” Energy RESEARCH LETTERS, vol. 1, no. 2, Jul. 2020, doi: 10.46557/001c.13745.
W. Ploberger and W. Kramer, “The Cusum Test with Ols Residuals,” Econometrica, vol. 60, no. 2, p. 271, Mar. 1992, doi: 10.2307/2951597.
Z. Pan, Y. Wang, C. Wu, and L. Yin, “Oil price volatility and macroeconomic fundamentals: A regime switching GARCH-MIDAS model,” J Empir Finance, vol. 43, pp. 130–142, Sep. 2017, doi: 10.1016/j.jempfin.2017.06.005.
O. R. Olayeni, A. K. Tiwari, and M. E. Wohar, “Global economic activity, crude oil price and production, stock market behaviour and the Nigeria-US exchange rate,” Energy Econ, vol. 92, p. 104938, Oct. 2020, doi: 10.1016/j.eneco.2020.104938.
A. M. and J. Nayar, “Integration of oil with macroeconomic indicators and policy challenges in regard to Oman,” International Journal of Energy Sector Management, vol. 14, no. 1, pp. 172–192, Jan. 2020, doi: 10.1108/IJESM-08-2018-0006.
P. K. Narayan, “Oil Price News and COVID-19—Is There Any Connection?,” Energy RESEARCH LETTERS, vol. 1, no. 1, Jun. 2020, doi: 10.46557/001c.13176.
K. Mokni, “A dynamic quantile regression model for the relationship between oil price and stock markets in oil-importing and oil-exporting countries,” Energy, vol. 213, p. 118639, Dec. 2020, doi: 10.1016/j.energy.2020.118639.
D. G. McMillan, S. A. Ziadat, and P. Herbst, “The role of oil as a determinant of stock market interdependence: The case of the USA and GCC,” Energy Econ, vol. 95, p. 105102, Mar. 2021, doi: 10.1016/j.eneco.2021.105102.
F. Malik and Z. Umar, “Dynamic connectedness of oil price shocks and exchange rates,” Energy Econ, vol. 84, p. 104501, Oct. 2019, doi: 10.1016/j.eneco.2019.104501.
M. Mahmoudi and H. Ghaneei, “Detection of structural regimes and analyzing the impact of crude oil market on Canadian stock market: Markov regime-switching approach,” Studies in Economics and Finance, vol. 39, no. 4, pp. 722–734, Jun. 2022, doi: 10.1108/SEF-09-2021-0352.
M. Mahmoudi and H. Ghaneei, “Detection of structural regimes and analyzing the impact of crude oil market on Canadian stock market: Markov regime-switching approach,” Studies in Economics and Finance, vol. 39, no. 4, pp. 722–734, Jun. 2022, doi: 10.1108/SEF-09-2021-0352.
L. Liu, E.-Z. Wang, and C.-C. Lee, “Impact of the COVID-19 Pandemic on the Crude Oil and Stock Markets in the US: A Time-Varying Analysis,” Energy RESEARCH LETTERS, vol. 1, no. 1, May 2020, doi: 10.46557/001c.13154.
F. Liu, M. Umair, and J. Gao, “Assessing oil price volatility co-movement with stock market volatility through quantile regression approach,” Resources Policy, vol. 81, p. 103375, Mar. 2023, doi: 10.1016/j.resourpol.2023.103375.
T.-H. Le and Y. Chang, “Oil price shocks and trade imbalances,” Energy Econ, vol. 36, pp. 78–96, Mar. 2013, doi: 10.1016/j.eneco.2012.12.002.
N. Köse and E. Ünal, “The effects of the oil price and oil price volatility on inflation in Turkey,” Energy, vol. 226, p. 120392, Jul. 2021, doi: 10.1016/j.energy.2021.120392.
L. Kilian, “Oil Price Shocks: Causes and Consequences,” Annu Rev Resour Economics, vol. 6, no. 1, pp. 133–154, Nov. 2014, doi: 10.1146/annurev-resource-083013-114701.
M. Bohdalová and M. Greguš, “IMPACT OF UNCERTAINTY ON EUROPEAN MARKET INDICES QUANTILE REGRESSION APPROACH,” CBU International Conference Proceedings, vol. 5, pp. 57–61, Sep. 2017, doi: 10.12955/cbup.v5.902.
R. Ferrer, S. J. H. Shahzad, R. López, and F. Jareño, “Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices,” Energy Econ, vol. 76, pp. 1–20, Oct. 2018, doi: 10.1016/j.eneco.2018.09.022.
Y. Guo, C. Yu, H. Zhang, and H. Cheng, “Asymmetric between oil prices and renewable energy consumption in the G7 countries,” Energy, vol. 226, p. 120319, Jul. 2021, doi: 10.1016/j.energy.2021.120319.
R. Aloui, S. Hammoudeh, and D. K. Nguyen, “A time-varying copula approach to oil and stock market dependence: The case of transition economies,” Energy Econ, vol. 39, pp. 208–221, Sep. 2013, doi: 10.1016/j.eneco.2013.04.012.
D. H. Husaini and H. H. Lean, “Asymmetric impact of oil price and exchange rate on disaggregation price inflation,” Resources Policy, vol. 73, p. 102175, Oct. 2021, doi: 10.1016/j.resourpol.2021.102175.
X. Chen, “Are the shocks of EPU, VIX, and GPR indexes on the oil-stock nexus alike? A time-frequency analysis,” Appl Econ, vol. 55, no. 48, pp. 5637–5652, Oct. 2023, doi: 10.1080/00036846.2022.2140115.
Y. T. Chan and Y. Dong, “How does oil price volatility affect unemployment rates? A dynamic stochastic general equilibrium model,” Econ Model, vol. 114, p. 105935, Sep. 2022, doi: 10.1016/j.econmod.2022.105935.
A. M. Herrera, M. B. Karaki, and S. K. Rangaraju, “Oil price shocks and U.S. economic activity,” Energy Policy, vol. 129, pp. 89–99, Jun. 2019, doi: 10.1016/j.enpol.2019.02.011.
H. Alqaralleh, “Stock return-inflation nexus; revisited evidence based on nonlinear ARDL,” J Appl Econ, vol. 23, no. 1, pp. 66–74, Jan. 2020, doi: 10.1080/15140326.2019.1706828.
J. W. JUREK and E. STAFFORD, “The Cost of Capital for Alternative Investments,” J Finance, vol. 70, no. 5, pp. 2185–2226, Oct. 2015, doi: 10.1111/jofi.12269.
N. T. Hung, “Asymmetric connectedness among S&P 500, crude oil, gold and Bitcoin,” Managerial Finance, vol. 48, no. 4, pp. 587–610, Mar. 2022, doi: 10.1108/MF-08-2021-0355.
Z. Dai and J. Kang, “Bond yield and crude oil prices predictability,” Energy Econ, vol. 97, p. 105205, May 2021, doi: 10.1016/j.eneco.2021.105205.
A. Dutta, D. Das, R. K. Jana, and X. V. Vo, “COVID-19 and oil market crash: Revisiting the safe haven property of gold and Bitcoin,” Resources Policy, vol. 69, p. 101816, Dec. 2020, doi: 10.1016/j.resourpol.2020.101816.
J. F. Hair, G. T. M. Hult, C. M. Ringle, M. Sarstedt, and K. O. Thiele, “Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods,” J Acad Mark Sci, vol. 45, no. 5, pp. 616–632, Sep. 2017, doi: 10.1007/s11747-017-0517-x.
J. Beckmann and R. Czudaj, “Oil prices and effective dollar exchange rates,” International Review of Economics & Finance, vol. 27, pp. 621–636, Jun. 2013, doi: 10.1016/j.iref.2012.12.002.
G. Bampinas and T. Panagiotidis, “Oil and stock markets before and after financial crises: A local Gaussian correlation approach,” Journal of Futures Markets, vol. 37, no. 12, pp. 1179–1204, Dec. 2017, doi: 10.1002/fut.21860.
S. G. K. G. R. Hchaichi. C. 19’s impact on crude oil and natural gas S. G. Indexes. 2020. ⟨halshs-02613280⟩ Donia Aloui, “COVID-19’s impact on crude oil and natural gas S&P GS Indexes,” HAL SHS sciences humanes et sociales.
S. M. Hashmi, B. H. Chang, and N. A. Bhutto, “Asymmetric effect of oil prices on stock market prices: New evidence from oil-exporting and oil-importing countries,” Resources Policy, vol. 70, p. 101946, Mar. 2021, doi: 10.1016/j.resourpol.2020.101946.
L.-T. Zhao, Y.-Y. Xing, Q.-R. Zhao, and X.-H. Chen, “Dynamic impacts of online investor sentiment on international crude oil prices,” Resources Policy, vol. 82, p. 103506, May 2023, doi: 10.1016/j.resourpol.2023.103506.