IDEAS home Printed from https://ideas.repec.org/r/eee/empfin/v33y2015icp84-103.html
   My bibliography  Save this item

Market sentiment in commodity futures returns

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Nektarios A. Michail & Konstantinos D. Melas, 2021. "Sentiment-Augmented Supply and Demand Equations for the Dry Bulk Shipping Market," Economies, MDPI, vol. 9(4), pages 1-14, November.
  2. Gao, Bin & Xie, Jun & Jia, Yun, 2019. "A futures pricing model with long-term and short-term traders," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 9-28.
  3. Kubin, Ingrid & Zörner, Thomas O. & Gardini, Laura & Commendatore, Pasquale, 2019. "A credit cycle model with market sentiments," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 159-174.
  4. Dai, Zhifeng & Zhu, Junxin & Zhang, Xinhua, 2022. "Time-frequency connectedness and cross-quantile dependence between crude oil, Chinese commodity market, stock market and investor sentiment," Energy Economics, Elsevier, vol. 114(C).
  5. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2021. "Investor sentiment and stock returns: Global evidence," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 365-391.
  6. Ran Lu & Hongjun Zeng, 2022. "VIX and major agricultural future markets: dynamic linkage and time-frequency relations around the COVID-19 outbreak," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 40(2), pages 334-353, September.
  7. Zhang, Hang & Tsai, Wei-Che & Weng, Pei-Shih & Tsai, Pin-Chieh, 2023. "Overnight returns and investor sentiment: Further evidence from the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
  8. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Economic news and the cross-section of commodity futures returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
  9. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Gonzalez-Fernandez, Marcos & Miffre, Joelle, 2020. "Fear of hazards in commodity futures markets," Journal of Banking & Finance, Elsevier, vol. 119(C).
  10. Akihiro Omura & Neda Todorova, 2019. "The quantile dependence of commodity futures markets on news sentiment," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 818-837, July.
  11. Zhou, Liyun & Huang, Jialiang, 2020. "Contagion of future-level sentiment in Chinese Agricultural Futures Markets," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
  12. Gang Chu & John W. Goodell & Dehua Shen & Yongjie Zhang, 2022. "Machine learning to establish proxies for investor attention: evidence of improved stock-return prediction," Annals of Operations Research, Springer, vol. 318(1), pages 103-128, November.
  13. Chiu, Junmao & Chung, Huimin & Ho, Keng-Yu & Wu, Chih-Chiang, 2018. "Investor sentiment and evaporating liquidity during the financial crisis," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 21-36.
  14. Maghyereh, Aktham & Abdoh, Hussein, 2020. "The tail dependence structure between investor sentiment and commodity markets," Resources Policy, Elsevier, vol. 68(C).
  15. M’hamed Gaïgi & Stéphane Goutte & Idris Kharroubi & Thomas Lim, 2021. "Optimal risk management problem of natural resources: application to oil drilling," Annals of Operations Research, Springer, vol. 297(1), pages 147-166, February.
  16. Morelli, Giacomo, 2023. "Stochastic ordering of systemic risk in commodity markets," Energy Economics, Elsevier, vol. 117(C).
  17. Qunzi Zhang, 2021. "One hundred years of rare disaster concerns and commodity prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(12), pages 1891-1915, December.
  18. Cai, Guixin & Zhang, Hao & Chen, Ziyue, 2019. "Comovement between commodity sectors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1247-1258.
  19. Tom Dudda & Tony Klein & Duc Khuong Nguyen & Thomas Walther, 2022. "Common Drivers of Commodity Futures?," Working Papers 2207, Utrecht School of Economics.
  20. Kablan, Sandrine & Ftiti, Zied & Guesmi, Khaled, 2017. "Commodity price cycles and financial pressures in African commodities exporters," Emerging Markets Review, Elsevier, vol. 30(C), pages 215-231.
  21. Jawadi, Fredj & Ftiti, Zied & Hdia, Mouna, 2017. "Assessing efficiency and investment opportunities in commodities: A time series and portfolio simulations approach," Economic Modelling, Elsevier, vol. 64(C), pages 567-588.
  22. Libo Yin & Jing Nie & Liyan Han, 2021. "Intermediary capital risk and commodity futures volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 577-640, May.
  23. Qadan, Mahmoud & Jacob, Maram, 2022. "The value premium and investors' appetite for risk," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 194-219.
  24. Liao, Jia & Qian, Qi & Xu, Xiangyun, 2018. "Whether the fluctuation of China’s financial markets have impact on global commodity prices?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1030-1040.
  25. Wang, Lu & Ma, Feng & Niu, Tianjiao & Liang, Chao, 2021. "The importance of extreme shock: Examining the effect of investor sentiment on the crude oil futures market," Energy Economics, Elsevier, vol. 99(C).
  26. Wang, Wenzhao & Duxbury, Darren, 2021. "Institutional investor sentiment and the mean-variance relationship: Global evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 415-441.
  27. Qadan, Mahmoud & Aharon, David Y., 2019. "Can investor sentiment predict the size premium?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 10-26.
  28. Ma, Yan-Ran & Ji, Qiang & Wu, Fei & Pan, Jiaofeng, 2021. "Financialization, idiosyncratic information and commodity co-movements," Energy Economics, Elsevier, vol. 94(C).
  29. Zhou, Liyun & Huang, Jialiang, 2020. "Excess co-movement of agricultural futures prices: Perspective from contagious investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  30. Ma, Feng & Wahab, M.I.M. & Zhang, Yaojie, 2019. "Forecasting the U.S. stock volatility: An aligned jump index from G7 stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 132-146.
  31. Aktham Maghyereh & Hussein Abdoh, 2022. "Can news-based economic sentiment predict bubbles in precious metal markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.
  32. John Hua Fan & Sebastian Binnewies & Sanuri De Silva, 2023. "Wisdom of crowds and commodity pricing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(8), pages 1040-1068, August.
  33. Ftiti, Zied & Kablan, Sandrine & Guesmi, Khaled, 2016. "What can we learn about commodity and credit cycles? Evidence from African commodity-exporting countries," Energy Economics, Elsevier, vol. 60(C), pages 313-324.
  34. Libo Yin & Jing Nie & Liyan Han, 2020. "Intermediary asset pricing in commodity futures returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1711-1730, November.
  35. Xu, Hai-Chuan & Zhou, Wei-Xing, 2018. "A weekly sentiment index and the cross-section of stock returns," Finance Research Letters, Elsevier, vol. 27(C), pages 135-139.
  36. Jun Yuan & Qi Xu & Ying Wang, 2023. "Probability weighting in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 516-548, April.
  37. Ghosh, Bikramaditya & Pham, Linh & Gubareva, Mariya & Teplova, Tamara, 2023. "Energy transition metals and global sentiment: Evidence from extreme quantiles," Resources Policy, Elsevier, vol. 86(PA).
  38. John Hua Fan & Tingxi Zhang, 2020. "The untold story of commodity futures in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(4), pages 671-706, April.
  39. Zhou, Xuemei & Liu, Qiang & Guo, Shuxin, 2021. "Do overnight returns explain firm-specific investor sentiment in China?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 451-477.
  40. Pan, Zhiyuan & Fu, Ziqian & Wang, Yudong & Dong, Qingma, 2024. "Exploiting the sentiments: A simple approach for improving cross hedging effectiveness," Energy Economics, Elsevier, vol. 134(C).
  41. González-Fernández, Marcos & González-Velasco, Carmen, 2020. "A sentiment index to measure sovereign risk using Google data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 406-418.
  42. Suardi, Sandy & Rasel, Atiqur Rahman & Liu, Bin, 2022. "On the predictive power of tweet sentiments and attention on bitcoin," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 289-301.
  43. John Griffith & Mohammad Najand & Jiancheng Shen, 2020. "Emotions in the Stock Market," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(1), pages 42-56, January.
  44. Sobti, Neharika & Sehgal, Sanjay & Ilango, Balakrishnan, 2021. "How do macroeconomic news surprises affect round-the-clock price discovery of gold?," International Review of Financial Analysis, Elsevier, vol. 78(C).
  45. Tzomakas, Christos & Anastasiou, Dimitrios & Katsafados, Apostolos & Krokida, Styliani Iris, 2023. "Crisis sentiment and banks’ stock price crash risk: A missing piece of the puzzle?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 87(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.