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Indian Journal of Finance

ISSN: 0973-8711 Frequency: Monthly Peer Review: Double-blind Published since: 2007 Language: English
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Original Article

Open Access Original Article

Volatility Integration of World GDP and World Inflation Rate with Crude Oil Prices

S. Vijayakumar1,  P Karthikeyan2

1 Research Scholar , Department of Management Studies, Center for Post-Graduate and Research Studies, Periyar University, Dharmapuri – 636 701, Tamil Nadu

2 Professor, Department of Management Studies, Center for Post-Graduate and Research Studies, Periyar University, Dharmapuri – 636 701, Tamil Nadu

Volume 18
Issue 8
Pages 67–80
Year 2024
Received: Sept. 30, 2023 Accepted: June 20, 2024 Published: Aug. 14, 2024
Abstract

Purpose: The price of crude oil directly affects inflation. The cost of products and services goes up across the economy when oil prices rise. Since both factors affected crude oil price movement, the current study focused on how variations in the global gross domestic product (GDP) and global inflation affect crude oil price volatility.

Methodology: In the current study, the relationship and extended impact among a few study variables were analyzed using bivariate GARCH models (diagonal VEC GARCH and BEKK GARCH). The analysis was based on annual sample data from January 2000 to December 2022 to investigate the volatility association in the three variables, along with volatility, spillover, and the effect.Results : The study revealed the mutual relationships among world GDP, inflation, and crude oil prices. The world GDP and crude oil prices were found to have a considerable conditional correlation when bivariate GARCH models were employed. Therefore, while they showed volatility spillover in co-variance, the global GDP and inflation rate did not show volatility spillover effects on crude oil prices. A noteworthy correlation between the pace of global inflation and the price of crude oil was also discovered by the investigation. On the other hand, it is insignificant and shows a reverse impact of world GDP on the changes in crude oil prices. Additionally, the world inflation rate volatility negatively affected oil prices in the spillover effect.

Implications: This study is significant from the investment point of view as various investors invest in financial instruments. This study revealed substantial information to policymakers and corporations for essential decisions regarding exploration and production activities. It also contributed to an academic pool of information domains for further research. The interplay between these factors could significantly influence economic outlooks and policy decisions globally.Value/

Originality: This is the first study on crude oil, world GDP, and world inflation, as far as we know.

Keywords inflation interest rates gold crude oil volatility spillover
How to Cite

S. Vijayakumar, P Karthikeyan (2024). Volatility Integration of World GDP and World Inflation Rate with Crude Oil Prices. Indian Journal of Finance, 18(8), 67–80. https://doi.org/10.17010/ijf/2024/v18i8/174243

References
  1. Agarwal, A., Mishra, A., & Gupta, M. (2019). How does economic growth react to fiscal deficit and inflation? An ARDL analysis of China and India. Arthashstra Indian Journal of Economics & Research, 8(4), 7–20. https://doi.org/10.17010/aijer/2019/v8i4/148068
  2. Akram, Q. F. (2004). Oil prices and exchange rates: Norwegian evidence. The Econometrics Journal, 7(2), 476–504. https://doi.org/10.1111/j.1368-423x.2004.00140.x
  3. Alekhina, V., & Yoshino, N. (2019). Exogeneity of world oil prices to the Russian Federation's economy and monetary policy. Eurasian Economic Review, 9(4), 531–555. https://doi.org/10.1007/s40822-018-0115-3
  4. Amarfio, E. M., Gyagri, M., & Marfo, S. A. (2017). Determining the key factors affecting global pricing of crude oil using trend analysis and numerical modelling. Ghana Journal of Technology, 2(1), 82–90. http://www2.umat.edu.gh/gjt/index.php/gjt/article/view/96
  5. Apergis, N., Cooray, A., Khraief, N., & Apergis, I. (2019). Do gold prices respond to real interest rates? Evidence from the Bayesian Markov Switching VECM model. Journal of International Financial Markets, Institutions and Money, 60, 134–148. https://doi.org/10.1016/j.intfin.2018.12.014
  6. Baumeister, C., & Peersman, G. (2009). Sources of the volatility puzzle in the crude oil market. Available at SSRN. https://doi.org/10.2139/ssrn.1471388
  7. Commodity Futures Trading Commission. (2008). Interagency task force on commodity markets releases interim report on crude oil (Release Number 5520-08). https://www.cftc.gov/PressRoom/PressReleases/5520-08
  8. Dargay, J. M., & Gately, D. (2010). World oil demand's shift toward faster growing and less price-responsive products and regions. Energy Policy, 38(10), 6261–6277. https://doi.org/10.1016/j.enpol.2010.06.014
  9. Ederington, L. H., Fernano, C. S., Lee, T. K., Linn, S. C., & May, A. D. (2011). Factors influencing oil prices: A survey of the current state of knowledge in the context of the 2007–08 oil price volatility (Working Paper Series). U.S. Energy Information Administration.
  10. Fattouh, B. (2007). The drivers of oil prices: The usefulness and limitations of non-structural models, supply-demand frameworks, and informal approaches. European Investment Bank (EIB) Papers, 12(1), 128–156. https://hdl.handle.net/10419/44880
  11. Gately, D., & Huntington, H. G. (2002). The asymmetric effects of changes in price and income on energy and oil demand. The Energy Journal, 23(1), 19–55. https://www.jstor.org/stable/41322942
  12. Goel, D. (2024). Managing food inflation in India. Arthashstra Indian Journal of Economics & Research, 13(1), 8–22. https://doi.org/10.17010/aijer/2024/v13i1/173411
  13. Golub, S. S. (1983). Oil prices and exchange rates. The Economic Journal, 93(371), 576–593. https://doi.org/10.2307/2232396
  14. Hamilton, J. D. (2009). Causes and consequences of the oil shock of 2007–08 (NBER Working Paper No. 15002). National Bureau of Economic Research. https://doi.org/10.3386/w15002
  15. Hartley, P. R., & Medlock, K. B. (2014). The relationship between crude oil and natural gas prices: The role of the exchange rate. The Energy Journal, 35(2), 25–44. https://doi.org/10.5547/01956574.35.2.2
  16. Hesary, F. T., & Yoshino, N. (2013). Which side of the economy is affected more by oil prices: Supply or demand? Available at SSRN. https://doi.org/10.2139/ssrn.2333991
  17. Huynh, B. T. (2016). Macroeconomic effects of energy price shocks on the business cycle. Macroeconomic Dynamics, 20(3), 623–642. https://doi.org/10.1017/S1365100514000455
  18. Kaufmann, R. K., Dees, S., Gasteuil, A., & Mann, M. (2008). Oil prices: The role of refinery utilization, futures markets and non-linearities. Energy Economics, 30(5), 2609–2622. https://doi.org/10.1016/j.eneco.2008.04.010
  19. Kilian, L. (2014). Oil price shocks: Causes and consequences. Annual Review of Resource Economics, 6, 133–154. https://doi.org/10.1146/annurev-resource-083013-114701
  20. Kilian, L., & Hicks, B. (2013). Did unexpectedly strong economic growth cause the oil price shock of 2003–2008? Journal of Forecasting, 32(5), 385–394. https://doi.org/10.1002/for.2243
  21. Kilian, L., & Murphy, D. P. (2014). The role of inventories and speculative trading in the global market for crude oil. Journal of Applied Econometrics, 29(3), 454–478. https://doi.org/10.1002/jae.2322
  22. Kothadia, K. D., & Nayak, D. N. (2020). Modeling inflation in India : A univariate approach. Arthashstra Indian Journal of Economics & Research, 9(2–3), 25–38. https://doi.org/10.17010/aijer/2020/v9i2-3/155602
  23. Kumar, A., & Khanna, S. (2018). GARCH - BEKK approach to volatility behavior and spillover : Evidence from India, China, Hong Kong, and Japan. Indian Journal of Finance, 12(4), 7–19. https://doi.org/10.17010/ijf/2018/v12i4/122791
  24. Lakshmanasamy, T. (2022). The causal relationship between volatility in crude oil price, exchange rate, and stock price in India : GARCH estimation of spillover effects. Indian Journal of Research in Capital Markets, 8(3), 8–21. https://doi.org/10.17010/ijrcm/2021/v8i3/167954
  25. Malhotra, A., & Krishna, S. (2015). The effect of crude oil prices on inflation and interest rates in India: Evidence from DCC-GARCH model. Available at SSRN. https://doi.org/10.2139/ssrn.2472558
  26. Mohapatra, A. K., Mohanty, D., Sardana, V., & Shrivastava, A. (2024). The ripple effect : Influence of exchange rate volatility on Indian sectoral indices. Indian Journal of Finance, 18(2), 8–24. https://doi.org/10.17010/ijf/2024/v18i2/173519
  27. Nirmala, S., & Deepthy, K. (2018). Volatility modeling of commodity markets in India: Application of selected GARCH models. Indian Journal of Research in Capital Markets, 5(4), 27–37. https://doi.org/10.17010/ijrcm/2018/v5/i4/130137
  28. Rastogi, S., Doifode, A., Kanoujiya, J., & Singh, S. P. (2023). Volatility integration of gold and crude oil prices with the interest rates in India. South Asian Journal of Business Studies, 12(3), 444–461. https://doi.org/10.1108/sajbs-02-2021-0074
  29. Rosnawintang, R., Tajuddin, T., Adam, P., Pasrun, Y. P., & Saidi, L. O. (2020). Effects of crude oil prices volatility, the internet and inflation on economic growth in ASEAN-5 countries: A panel autoregressive distributed lag approach. International Journal of Energy Economics and Policy, 11(1), 15–21. https://doi.org/10.32479/ijeep.10395
  30. Sarmah, A., & Bal, D. P. (2021). Does crude oil price affect the inflation rate and economic growth in India? A new insight based on structural VAR framework. The Indian Economic Journal, 69(1), 123–139. https://doi.org/10.1177/0019466221998838
  31. Singh, V. K., & Ahmad, N. (2011). Modeling S & P CNX Nifty index volatility with GARCH class volatility models: Empirical evidence from India. Indian Journal of Finance, 5(2), 34–47. https://indianjournalofmarketing.com/index.php/IJF/article/view/72531
  32. Taghizadeh-Hesary, F., Rasoulinezhad, E., & Yoshino, N. (2019). Energy and food security: Linkages through price volatility. Energy Policy, 128, 796–806. https://doi.org/10.1016/j.enpol.2018.12.043
  33. Tuysuz, S. (2013). Conditional correlations between stock index, investment grade yield, high yield and commodities (gold and oil) during stable and crisis periods. International Journal of Economics and Finance, 5(9), 28–44. https://doi.org/10.5539/ijef.v5n9p28
  34. Vespignani, J. L., & Ratti, R. A. (2016). Not all international monetary shocks are alike for the Japanese economy. Economic Modelling, 52(Part B), 822–837. https://doi.org/10.1016/j.econmod.2015.10.019
  35. Zavadska, M., Morales, L., & Coughlan, J. (2020). Brent crude oil prices volatility during major crises. Finance Research Letters, 32, 101078. https://doi.org/10.1016/j.frl.2018.12.026
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