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Khiabani N, Naderian M A. Time-Varying Transmission Mechanism of Oil Shocks in the Global Crude oil Market: A TVP-VAR Approach. jemr 2018; 9 (32) :7-54
URL: http://jemr.khu.ac.ir/article-1-1700-en.html
URL: http://jemr.khu.ac.ir/article-1-1700-en.html
Time-Varying Transmission Mechanism of Oil Shocks in the Global Crude oil Market: A TVP-VAR Approach
1- Allameh Tabatabaei university , naskhiabani@gmail.com
2- Allameh Tabatabaei university
2- Allameh Tabatabaei university
Abstract: (5900 Views)
In this paper, we have utilized a time-varying parameter vector autoregressive model in order to examine the structural changes in the transmission mechanisms of oil price shocks in the global crude oil market over the period of 1985-2016. In this setting, the contemporaneous response of real oil price and crude oil production to flow oil supply shock, flow oil demand shock, and speculative demand shocks are explored. Results obtained from using Monte Carlo Markov Chain estimation method along with the identification approach proposed by Killian and Murphy (2014) reveal that the impact responses of oil production to the structural shocks follows a decreasing trend throughout the past three decades mainly due to the erosion of global oil production spare capacity. The reaction of oil production to flow oil supply shock is also estimated to be greater than other demand shocks over all dates. Moreover, the contemporaneous impact of structural shocks on real oil prices fail to show a clear pattern, however, jumps experienced in periods where uncertainty heightened and risk aversion strengthened is distinct. The reaction of real crude oil price to flow oil supply shock was more pronounced in 1990s and the period subsequent to oil price plunge in 2014. By contrast, the role of flow oil demand shock in real crude oil price fluctuations was dominant over the period of 2000-2014. While the oil production reacted more strongly to speculative demand shock rather than flow oil demand shocks, the response of real oil price to these two oil demand shocks is completely reversed.
Keywords: Time-Varying Parameter Structural Autoregressive Model, Speculative demand Shock, Flow Oil Supply Shock, Flow Oil Demand Shock
Type of Study: Applicable |
Subject:
انرژی، منابع و محیط زیست
Received: 2018/02/8 | Accepted: 2018/07/10 | Published: 2018/09/12
Received: 2018/02/8 | Accepted: 2018/07/10 | Published: 2018/09/12
References
1. Bataa, E., Izzeldin, M., & Osborn, D. R. (2016). Changes in the global oil market. Energy Economics, 56, 161-176. [DOI:10.1016/j.eneco.2016.03.009]
2. Baumeister, C., Peersman, G., & Van Robays, I. (2010). "The economic consequences of oil shocks: differences across countries and time. Inflation in an era of relative price shocks.", Reserve Bank of Australia, 91-128.
3. Baumeister, C. J., & Hamilton, J. D. (2017). Structural interpretation of vector autoregressions with incomplete identification: Revisiting the role of oil supply and demand shocks (No. w24167). National Bureau of Economic Research. [DOI:10.3386/w24167]
4. Baumeister, C., & Peersman, G. (2013). The role of time‐varying price elasticities in accounting for volatility changes in the crude oil market. Journal of Applied Econometrics, 28(7), 1087-1109. [DOI:10.1002/jae.2283]
5. Beidas-Strom, S., & Pescatori, A. (2014). Oil Price Volatility and the Role of Speculation. IMF working paper. [DOI:10.5089/9781498333481.001]
6. Benati, L., & Mumtaz, H. (2007). US evolving macroeconomic dynamics: a structural investigation.
7. Blake, A. P., & Mumtaz, H. (2012). Applied Bayesian econometrics for central bankers. Technical Books.
8. Blanchard, O. J., & Gali, J. (2007). The Macroeconomic Effects of Oil Shocks: Why are the 2000s so different from the 1970s? (No. w13368). National Bureau of Economic Research. [DOI:10.3386/w13368]
9. Caldara, D., Cavallo, M., & Iacoviello, M. M. (2016). Oil price elasticities and oil price fluctuations. [DOI:10.17016/IFDP.2016.1173]
10. Canova, F., & Gambetti, L. (2009). Structural changes in the US economy: Is there a role for monetary policy?. Journal of Economic dynamics and control, 33(2), 477-490. [DOI:10.1016/j.jedc.2008.05.010]
11. Carter, C. K., & Kohn, R. (1994). On Gibbs sampling for state space models. Biometrika, 81(3), 541-553. [DOI:10.1093/biomet/81.3.541]
12. Economou, A., Agnolucci, P., Fattouh, B., & De Lipis, V. (2017). A Structural Model of the World Oil Market: The Role of Investment Dynamics and Capacity Constraints. [DOI:10.26889/9781784670979]
13. Hamilton, J. D. (2003). What is an oil shock?. Journal of econometrics, 113(2), 363-398. [DOI:10.1016/S0304-4076(02)00207-5]
14. Jacquier, E., Polson, N. G., & Rossi, P. E. (2002). Bayesian analysis of stochastic volatility models. Journal of Business & Economic Statistics, 20(1), 69-87. [DOI:10.1198/073500102753410408]
15. Juvenal, L., & Petrella, I. (2015). Speculation in the oil market. Journal of Applied Econometrics, 30(4), 621-649. [DOI:10.1002/jae.2388]
16. Kilian, L. (2009). "Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market.", American Economic Review, 99(3), 1053-69. [DOI:10.1257/aer.99.3.1053]
17. Kilian, L., & Murphy, D. P. (2012). "Why agnostic sign restrictions are not enough: understanding the dynamics of oil market VAR models.", Journal of the European Economic Association, 10(5), 1166-1188. [DOI:10.1111/j.1542-4774.2012.01080.x]
18. 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. [DOI:10.1002/jae.2322]
19. Kilian, L., & Lee, T. K. (2014). Quantifying the speculative component in the real price of oil: The role of global oil inventories. Journal of International Money and Finance, 42, 71-87. [DOI:10.1016/j.jimonfin.2013.08.005]
20. Lombardi, M. J., & Van Robays, I. (2011). Do financial investors destabilize the oil price? ECB working paper. [DOI:10.2139/ssrn.2281796]
21. Lütkepohl, H., & Netšunajev, A. (2014). Disentangling demand and supply shocks in the crude oil market: How to check sign restrictions in structural VARs. Journal of Applied Econometrics, 29(3), 479-496. [DOI:10.1002/jae.2330]
22. Pindyck, R. S. (2001). The dynamics of commodity spot and futures markets: a primer. The energy journal, 1-29. [DOI:10.5547/ISSN0195-6574-EJ-Vol22-No3-1]
23. Pirrong, C. (2012). Commodity Price Dynamics. Cambridge Books.
24. Primiceri, G. E. (2005). Time varying structural vector autoregressions and monetary policy. The Review of Economic Studies, 72(3), 821-852. [DOI:10.1111/j.1467-937X.2005.00353.x]
25. Working, H. (1949). The theory of price of storage. The American Economic Review, 39(6), 1254-1262
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