IDEAS home Printed from https://ideas.repec.org/r/wly/jfutmk/v35y2015i10p916-938.html
   My bibliography  Save this item

Booms and Busts in Commodity Markets: Bubbles or Fundamentals?

Citations

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


Cited by:

  1. Ludwig, Michael, 2019. "Speculation and its impact on liquidity in commodity markets," Resources Policy, Elsevier, vol. 61(C), pages 532-547.
  2. Fatima, Hira & Ahmed, Mumtaz, 2019. "Testing for Exuberance Behavior in Agricultural Commodities of Pakistan," MPRA Paper 95304, University Library of Munich, Germany.
  3. Ulusoy, Veysel & Onbirler, Özgür Ünal, 2017. "Marginal speculation and hedging in commodity markets," Finance Research Letters, Elsevier, vol. 23(C), pages 269-282.
  4. Ajmi, Ahdi Noomen & Hammoudeh, Shawkat & Mokni, Khaled, 2021. "Detection of bubbles in WTI, brent, and Dubai oil prices: A novel double recursive algorithm," Resources Policy, Elsevier, vol. 70(C).
  5. Go, You-How & Lau, Wee-Yeap, 2017. "Investor demand, market efficiency and spot-futures relation: Further evidence from crude palm oil," Resources Policy, Elsevier, vol. 53(C), pages 135-146.
  6. Aktham Maghyereh & Hussein Abdoh, 2022. "Bubble contagion effect between the main precious metals," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 40(1), pages 43-63, March.
  7. Kruse, Robinson & Wegener, Christoph, 2020. "Time-varying persistence in real oil prices and its determinant," Energy Economics, Elsevier, vol. 85(C).
  8. Kuruppuarachchi, Duminda & Lin, Hai & Premachandra, I.M., 2019. "Testing commodity futures market efficiency under time-varying risk premiums and heteroscedastic prices," Economic Modelling, Elsevier, vol. 77(C), pages 92-112.
  9. Alain Hecq & Elisa Voisin, 2023. "Predicting Crashes in Oil Prices During The Covid-19 Pandemic with Mixed Causal-Noncausal Models," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 209-233, Emerald Group Publishing Limited.
  10. Bohl, Martin T. & Sulewski, Christoph, 2019. "The impact of long-short speculators on the volatility of agricultural commodity futures prices," Journal of Commodity Markets, Elsevier, vol. 16(C).
  11. Giulio Cifarelli and Paolo Paesani, 2021. "Navigating the Oil Bubble: A Non-linear Heterogeneous-agent Dynamic Model of Futures Oil Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
  12. Dwight R. Sanders & Scott H. Irwin, 2017. "Bubbles, Froth and Facts: Another Look at the Masters Hypothesis in Commodity Futures Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 345-365, June.
  13. Bernardina Algieri, 2021. "Fast & furious: Do psychological and legal factors affect commodity price volatility?," The World Economy, Wiley Blackwell, vol. 44(4), pages 980-1017, April.
  14. Adrian Fernandez-Perez & Bart Frijns & Alireza Tourani-Rad & Jean-Philippe Weisskopf, 2019. "Behavioural heterogeneity in wine investments," Applied Economics, Taylor & Francis Journals, vol. 51(30), pages 3236-3255, June.
  15. Efthymios G. Pavlidis & Ivan Paya & David A. Peel, 2018. "Using Market Expectations to Test for Speculative Bubbles in the Crude Oil Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(5), pages 833-856, August.
  16. Liu, Jiadong & Papailias, Fotis & Quinn, Barry, 2021. "Direction-of-change forecasting in commodity futures markets," International Review of Financial Analysis, Elsevier, vol. 74(C).
  17. Figuerola-Ferretti, Isabel & McCrorie, J. Roderick & Paraskevopoulos, Ioannis, 2020. "Mild explosivity in recent crude oil prices," Energy Economics, Elsevier, vol. 87(C).
  18. Bredin, Don & O'Sullivan, Conall & Spencer, Simon, 2021. "Forecasting WTI crude oil futures returns: Does the term structure help?," Energy Economics, Elsevier, vol. 100(C).
  19. Xiao-Qing WANG & Chi-Wei SU & Ran TAO & Oana-Ramona LOBONŢ, 2018. "When will food price bubbles burst? A review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(12), pages 566-573.
  20. Wei, Yanfeng & Guo, Xiaoying, 2017. "Oil price shocks and China's stock market," Energy, Elsevier, vol. 140(P1), pages 185-197.
  21. Wu, Fei & Zhao, Wan-Li & Ji, Qiang & Zhang, Dayong, 2020. "Dependency, centrality and dynamic networks for international commodity futures prices," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 118-132.
  22. Lof, Matthijs & Nyberg, Henri, 2017. "Noncausality and the commodity currency hypothesis," Energy Economics, Elsevier, vol. 65(C), pages 424-433.
  23. Gronwald, Marc, 2016. "Explosive oil prices," Energy Economics, Elsevier, vol. 60(C), pages 1-5.
  24. Fishe, Raymond P.H. & Smith, Aaron, 2019. "Do speculators drive commodity prices away from supply and demand fundamentals?," Journal of Commodity Markets, Elsevier, vol. 15(C), pages 1-1.
  25. Martin T. Bohl & Christoph Sulewski, 2018. "The Impact of Long-Short Speculators on the Volatility of Agricultural Commodity Futures Prices," CQE Working Papers 7718, Center for Quantitative Economics (CQE), University of Muenster.
  26. Ozgur, Onder & Yilanci, Veli & Ozbugday, Fatih Cemil, 2021. "Detecting speculative bubbles in metal prices: Evidence from GSADF test and machine learning approaches," Resources Policy, Elsevier, vol. 74(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.