Dynamic link between liquidity and return in the crude oil market

References

• Akram, Q. F. (2009). Commodity prices, interest rates and the dollar. Energy Economics, 31(6), 838–851. https://doi.org/10.1016/j.eneco.2009.05.016
   Web of Science ®Google Scholar
• Alfano, S., Feuerriegel, S., & Neumann, D. (2020). Language sentiment in fundamental and noise trading: Evidence from crude oil. Applied Economics, 52(49), 5343–5363. https://doi.org/10.1080/00036846.2020.1763245
   Web of Science ®Google Scholar
• Amihud, Y. (2002). Illiquidity and stock returns: Cross-section and time-series effects. Journal of Financial Markets, 5(1), 31–56. https://doi.org/10.1016/S1386-4181(01)00024-6
   Web of Science ®Google Scholar
• Amihud, Y., & Mendelson, H. (1986). Asset pricing and the bid-ask spread. Journal of Financial Economics, 17(2), 223–249. https://doi.org/10.1016/0304-405X(86)90065-6
   Web of Science ®Google Scholar
• Baker, M., & Stein, J. C. (2004). Market liquidity as a sentiment indicator. Journal of Financial Markets, 7(3), 271–299. https://doi.org/10.1016/j.finmar.2003.11.005
   Web of Science ®Google Scholar
• Batten, J. A., Kinateder, H., Szilagyi, P. G., & Wagner, N. F. (2019). Liquidity, surprise volume and return premia in the oil market. Energy Economics, 77, 93–104. https://doi.org/10.1016/j.eneco.2018.06.016
   Web of Science ®Google Scholar
• Batten, J. A., & Vo, X. V. (2014). Liquidity and return relationships in an emerging market. Emerging Markets Finance and Trade, 50(1), 5–21. https://doi.org/10.2753/REE1540-496X500101
   Web of Science ®Google Scholar
• Ben-Rephael, A., Kadan, O., & Wohl, A. (2015). The diminishing liquidity premium. Journal of Financial and Quantitative Analysis, 50(1–2), 197–229. https://doi.org/10.1017/S0022109015000071
   Web of Science ®Google Scholar
• Beschwitz, B. V., Keim, D. B., & Massa, M. (2020). First to “read” the news: News analytics and algorithmic trading. Review of Asset Pricing Studies, 10(1), 122–178. https://doi.org/10.1093/rapstu/raz007
   Web of Science ®Google Scholar
• Bloomfield, R., O’Hara, M., & Saar, G. (2009). How noise trading affects markets: An experimental analysis. Review of Financial Studies, 22(6), 2275–2302. https://doi.org/10.1093/rfs/hhn102
   Web of Science ®Google Scholar
• Browne, F., & Cronin, D. (2010). Commodity prices, money and inflation. Journal of Economics and Business, 62(4), 331–345. https://doi.org/10.1016/j.jeconbus.2010.02.003
   Google Scholar
• Cakici, N., & Zaremba, A. (2021). Liquidity and the cross-section of international stock returns. Journal of Banking & Finance, 127, 106123. https://doi.org/10.1016/j.jbankfin.2021.106123
   Web of Science ®Google Scholar
• Cappiello, L., Engle, R. F., & Sheppard, K. (2006). Asymmetric dynamics in the correlations of global equity and bond returns. Journal of Financial Econometrics, 4(4), 537–572. https://doi.org/10.1093/jjfinec/nbl005
   Google Scholar
• Chau, F., Deesomsak, R., & Koutmos, D. (2016). Does investor sentiment really matter? International Review of Financial Analysis, 48, 221–232. https://doi.org/10.1016/j.irfa.2016.10.003
   Web of Science ®Google Scholar
• Chen, L., Lesmond, D. A., & Wei, J. (2007). Corporate yield spreads and bond liquidity. Journal of Finance, 62(1), 119–149. https://doi.org/10.1111/j.1540-6261.2007.01203.x
   Web of Science ®Google Scholar
• Chordia, T., Roll, R., & Subrahmanyam, A. (2000). Commonality in liquidity. Journal of Financial Economics, 56(1), 3–28. https://doi.org/10.1016/S0304-405X(99)00057-4
   Web of Science ®Google Scholar
• Chordia, T., Roll, R., & Subrahmanyam, A. (2002). Order imbalance, liquidity, and market returns. Journal of Financial Economics, 65(1), 111–130. https://doi.org/10.1016/S0304-405X(02)00136-8
   Web of Science ®Google Scholar
• Chordia, T., Roll, R., & Subrahmanyam, A. (2008). Liquidity and market efficiency. Journal of Financial Economics, 87(2), 249–268. https://doi.org/10.1016/j.jfineco.2007.03.005
   Web of Science ®Google Scholar
• Christoffersen, P., Goyenko, R., Jacobs, K., & Karoui, M. (2018). Illiquidity premia in the equity options market. Review of Financial Studies, 31(3), 811–851. https://doi.org/10.1093/rfs/hhx113
   Web of Science ®Google Scholar
• DE Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990). Positive feedback investment strategies and destabilizing rational speculation. Journal of Finance, 45(2), 379–395. https://doi.org/10.1111/j.1540-6261.1990.tb03695.x
   Web of Science ®Google Scholar
• Durguti, E., Tmava, Q., Demiri-Kunoviku, F., & Krasniqi, E. (2021). Panel estimating effects of macroeconomic determinants on inflation: Evidence of Western Balkan. Cogent Economics & Finance, 9(1). https://doi.org/10.1080/23322039.2021.1942601
   Web of Science ®Google Scholar
• Engle, R. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics, 20(3), 339–350. https://doi.org/10.1198/073500102288618487
   Web of Science ®Google Scholar
• Fontaine, J. S., & Garcia, R. (2012). Bond liquidity premia. Review of Financial Studies, 25(4), 1207–1254. https://doi.org/10.1093/rfs/hhr132
   Web of Science ®Google Scholar
• French, J. J., & Taborda, R. (2018). Disentangling the relationship between liquidity and returns in Latin America. Global Finance Journal, 36(May 2017), 23–40. https://doi.org/10.1016/j.gfj.2017.10.006
   Google Scholar
• Hameed, A., Kang, W., & Viswanathan, S. (2010). Stock market declines and liquidity. Journal of Finance, 65(1), 257–293. https://doi.org/10.1111/j.1540-6261.2009.01529.x
   Web of Science ®Google Scholar
• Hamilton, J. D. (2003). What is an oil shock? Journal of Econometrics, 113(2), 363–398. https://doi.org/10.1016/S0304-4076(02)00207-5
   Web of Science ®Google Scholar
• Haugom, E., & Ray, R. (2017). Heterogeneous traders, liquidity, and volatility in crude oil futures market. Journal of Commodity Markets, 5(January), 36–49. https://doi.org/10.1016/j.jcomm.2017.01.001
   Google Scholar
• Huberman, G., & Stanzl, W. (2005). Optimal liquidity trading. Review of Finance, 9(2), 165–200. https://doi.org/10.1007/s10679-005-7591-5
   Google Scholar
• Jones, C. M., Kaul, G., & Lipson, M. L. (1994). Transactions, volume, and volatility. Review of Financial Studies, 7(4), 631–651. https://doi.org/10.1093/rfs/7.4.631
   Web of Science ®Google Scholar
• Kang, H., Yu, B. K., & Yu, J. (2016). Global liquidity and commodity prices. Review of International Economics, 24(1), 20–36. https://doi.org/10.1111/roie.12204
   Web of Science ®Google Scholar
• Kang, W., Rouwenhorst, K. G., & Tang, K. (2020). A tale of two premiums: The role of hedgers and speculators in commodity futures markets. Journal of Finance, 75(1), 377–417. https://doi.org/10.1111/jofi.12845
   Web of Science ®Google Scholar
• 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), 1053–1069. https://doi.org/10.1257/aer.99.3.1053
   Web of Science ®Google Scholar
• Kilian, L., & Zhou, X. (2018). Modeling fluctuations in the global demand for commodities. Journal of International Money and Finance, 88, 54–78. https://doi.org/10.1016/j.jimonfin.2018.07.001
   Web of Science ®Google Scholar
• Kyle, A. S. (1985). Continuous auctions and insider trading. Econometrica, 53(6), 1315–1335. https://doi.org/10.2307/1913210
   Web of Science ®Google Scholar
• Lee, A. D., Li, M., & Zheng, H. (2020). Bitcoin: Speculative asset or innovative technology? Journal of International Financial Markets, Institutions and Money, 67, 101209. https://doi.org/10.1016/j.intfin.2020.101209
   Web of Science ®Google Scholar
• Leirvik, T. (2022). Cryptocurrency returns and the volatility of liquidity. Finance Research Letters, 44, 102031. https://doi.org/10.1016/j.frl.2021.102031
   Web of Science ®Google Scholar
• Leirvik, T., Fiskerstrand, S. R., & Fjellvikås, A. B. (2017). Market liquidity and stock returns in the Norwegian stock market. Finance Research Letters, 21, 272–276. https://doi.org/10.1016/j.frl.2016.12.033
   Web of Science ®Google Scholar
• Lin, H., Wang, J., & Wu, C. (2011). Liquidity risk and expected corporate bond returns. Journal of Financial Economics, 99(3), 628–650. https://doi.org/10.1016/j.jfineco.2010.10.004
   Web of Science ®Google Scholar
• Liu, J., Wu, K., & Zhou, M. (2023). News tone, investor sentiment, and liquidity premium. International Review of Economics & Finance, 84, 167–181. https://doi.org/10.1016/j.iref.2022.11.016
   Web of Science ®Google Scholar
• Liu, Q., Tse, Y., & Zheng, K. (2021). The impact of trading behavioral biases on market liquidity under different volatility levels: Evidence from the Chinese commodity futures market. Financial Review, 56(4), 671–692. https://doi.org/10.1111/fire.12262
   Web of Science ®Google Scholar
• Lo, D. K., & Hall, A. D. (2015). Resiliency of the limit order book. Journal of Economic Dynamics and Control, 61, 222–244. https://doi.org/10.1016/j.jedc.2015.09.012
   Web of Science ®Google Scholar
• Manera, M., Nicolini, M., & Vignati, I. (2016). Modelling futures price volatility in energy markets: Is there a role for financial speculation? Energy Economics, 53, 220–229. https://doi.org/10.1016/j.eneco.2014.07.001
   Web of Science ®Google Scholar
• Marshall, B. R., Nguyen, N. H., & Visaltanachoti, N. (2012). Commodity liquidity measurement and transaction costs. Review of Financial Studies, 25(2), 599–638. https://doi.org/10.1093/rfs/hhr075
   Web of Science ®Google Scholar
• Marshall, B. R., Nguyen, N. H., & Visaltanachoti, N. (2013). Liquidity commonality in commodities. Journal of Banking & Finance, 37(1), 11–20. https://doi.org/10.1016/j.jbankfin.2012.08.013
   Web of Science ®Google Scholar
• Moosa, I. A., & Silvapulle, P. (2000). The price-volume relationship in the crude oil futures market Some results based on linear and nonlinear causality testing. International Review of Economics & Finance, 9(1), 11–30. https://doi.org/10.1016/S1059-0560(99)00044-1
   Google Scholar
• Okoroafor, U. C., & Leirvik, T. (2022). Time varying market efficiency in the Brent and WTI crude market. Finance Research Letters, 45, 102191. https://doi.org/10.1016/j.frl.2021.102191
   Web of Science ®Google Scholar
• Pereira, J. P., & Zhang, H. H. (2010). Stock returns and the volatility of liquidity. Journal of Financial and Quantitative Analysis, 45(4), 1077–1110. https://doi.org/10.1017/S0022109010000323
   Web of Science ®Google Scholar
• Ratti, R. A., & Vespignani, J. L. (2013). Crude oil prices and liquidity, the BRIC and G3 countries. Energy Economics, 39, 28–38. https://doi.org/10.1016/j.eneco.2013.04.003
   Web of Science ®Google Scholar
• Sadorsky, P. (2000). The empirical relationship between energy futures prices and exchange rates. Energy Economics, 22(2), 253–266. https://doi.org/10.1016/S0140-9883(99)00027-4
   Web of Science ®Google Scholar
• Schneider, A. (2022). Risk-sharing and the term structure of interest rates. Journal of Finance, 77(4), 2331–2374. https://doi.org/10.1111/jofi.13139
   Web of Science ®Google Scholar
• Smales, L. A. (2019). Slopes, spreads, and depth: Monetary policy announcements and liquidity provision in the energy futures market. International Review of Economics & Finance, 59, 234–252. https://doi.org/10.1016/j.iref.2018.09.001
   Web of Science ®Google Scholar
• Szymanowska, M., De Roon, F., Nijman, T., & Van Den Goorbergh, R. (2014). An anatomy of commodity futures risk premia. Journal of Finance, 69(1), 453–482. https://doi.org/10.1111/jofi.12096
   Web of Science ®Google Scholar
• Wang, J. (1994). A model of competitive stock trading volume. Journal of Political Economy, 102(1), 127–168. https://doi.org/10.1086/261924
   Web of Science ®Google Scholar
• Zhang, Y., Ding, S., & Scheffel, E. M. (2019). A key determinant of commodity price co-movement: The role of daily market liquidity. Economic Modelling, 81, 170–180. https://doi.org/10.1016/j.econmod.2019.01.004
   Web of Science ®Google Scholar
• Zheng, M., Liu, R., & Li, Y. (2018). Long memory in financial markets: A heterogeneous agent model perspective. International Review of Financial Analysis, 58, 38–51. https://doi.org/10.1016/j.irfa.2018.04.001
   Web of Science ®Google Scholar