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Understanding Crude Oil Prices. (2008). Hamilton, James.
In: NBER Working Papers.
RePEc:nbr:nberwo:14492.

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  6. Do exchange rate and inflation rate matter in the cyclicality of oil price and stock returns?. (2022). Philips, Abiodun S ; Akinseye, Ademola B ; Oduyemi, Gabriel O.
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  9. Assessing Dynamism of Crude Oil Demand in Middle-Income Countries of South Asia: A Panel Data Investigation. (2021). Kumar, Suresh D ; Kautish, Pradeep ; Sharma, Rajesh.
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  27. Forecasting Crude Oil Prices: A Comparison Between Artificial Neural Networks and Vector Autoregressive Models. (2019). Kianfar, Farhad ; Ramyar, Sepehr.
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  35. Crude oil price and speculative activity: a cointegration analysis. (2018). Socha, Robert ; Wdowiski, Piotr.
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  39. Oil consumption, economic growth, and oil futures: The impact of long-run oil supply uncertainty on asset prices. (2018). Ready, Robert C.
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  43. Did oil prices trigger an innovation burst in biofuels?. (2018). Corff, Arthur Guillouzouic-Le.
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    In: CEMA Working Papers: Serie Documentos de Trabajo..
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  54. The unstudied barriers to widespread renewable energy deployment: Fossil fuel price responses. (2017). Manzano, Baltasar ; Blazquez, Jorge ; Shah, Nilay ; Workman, Mark ; Contestabile, Marcello ; Foster, Edward .
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  55. When Will Occur the Crude Oil Bubbles?. (2017). Su, Chi-Wei ; Lobon, Oana-Ramona ; Chang, Hsu-Ling ; Li, Zheng-Zheng.
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  58. The Impact of Macroeconomic, Oil Prices and Socio-economic Factors on Exchange Rate in Pakistan: An Auto Regressive Distributed Lag Approach. (2017). Ramakrishnan, Suresh ; Anuar, Melati Ahmad ; Butt, Shamaila .
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  5. Accuracy indicators for evaluating retrospective performance of energy system models. (2022). Trutnevyte, Evelina ; Jaxa-Rozen, Marc ; Wen, Xin.
    In: Applied Energy.
    RePEc:eee:appene:v:325:y:2022:i:c:s0306261922011667.

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  6. .

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  7. Forecasting selected energy commodities prices with Bayesian dynamic finite mixtures. (2021). Drachal, Krzysztof.
    In: Energy Economics.
    RePEc:eee:eneeco:v:99:y:2021:i:c:s0140988321001882.

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  8. The Relationship between Oil Prices and Real Estate Loans and Mortgage Loans in Azerbaijan. (2021). Hajiyev, Natig Gadim-Ogli ; Humbatova, Sugra Ingilab.
    In: International Journal of Energy Economics and Policy.
    RePEc:eco:journ2:2021-01-42.

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  9. Crude oil price forecasting based on a novel hybrid long memory GARCH-M and wavelet analysis model. (2020). Lin, Ling ; Zhou, Zhongbao ; Xiao, Helu ; Jiang, Yong.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:543:y:2020:i:c:s0378437119319697.

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  10. Analyzing the robustness of ARIMA and neural networks as a predictive model of crude oil prices. (2020). Yadav, Miklesh ; Sharma, Sudhi.
    In: Theoretical and Applied Economics.
    RePEc:agr:journl:v:2(623):y:2020:i:2(623):p:289-300.

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  11. Energy Commodity Price Forecasting with Deep Multiple Kernel Learning. (2018). Wu, Cheng-Feng ; Huang, Shian-Chang.
    In: Energies.
    RePEc:gam:jeners:v:11:y:2018:i:11:p:3029-:d:180549.

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  12. Forecasting Long-Term Crude Oil Prices Using a Bayesian Model with Informative Priors. (2017). Huh, Sung-Yoon ; Lee, Chul-Yong.
    In: Sustainability.
    RePEc:gam:jsusta:v:9:y:2017:i:2:p:190-:d:88968.

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  13. Crude oil price analysis and forecasting based on variational mode decomposition and independent component analysis. (2017). Wei, Jian ; Ye, Jimin ; Bao, Yanling .
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:484:y:2017:i:c:p:412-427.

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  14. Examining Energy Futures Market Efficiency Under Multiple Regime Shifts. (2017). Buberkoku, Onder.
    In: International Journal of Energy Economics and Policy.
    RePEc:eco:journ2:2017-06-8.

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  15. Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach. (2016). Naser, Hanan.
    In: Energy Economics.
    RePEc:eee:eneeco:v:56:y:2016:i:c:p:75-87.

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  16. Revealing asymmetries in the loss function of WTI oil futures market. (2014). mamatzakis, emmanuel.
    In: Empirical Economics.
    RePEc:spr:empeco:v:47:y:2014:i:2:p:411-426.

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  17. Forecasting the Crude Oil Price with Extreme Values. (2014). Haibin, Xie ; Yi, HU ; Mei, YU ; Mo, Zhou.
    In: Journal of Systems Science and Information.
    RePEc:bpj:jossai:v:2:y:2014:i:3:p:193-205:n:1.

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  18. Are crude oil spot and futures prices cointegrated? Not always!. (2013). Wu, Chongfeng ; Wang, Yudong.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:33:y:2013:i:c:p:641-650.

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  19. Nonlinear Expectations in Speculative Markets. (2012). Reitz, Stefan ; Stadtmann, Georg ; Rulke, Jan .
    In: Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century.
    RePEc:zbw:vfsc12:62045.

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  20. Nonlinear expectations in speculative markets: Evidence from the ECB survey of professional forecasters. (2012). Reitz, Stefan ; Stadtmann, Georg ; Rulke, Jan-Christoph .
    In: Discussion Papers.
    RePEc:zbw:euvwdp:311.

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  21. Measures of Fiscal Risk in Hydrocarbon-Exporting Countries. (2012). Medina, Leandro ; Caceres, Carlos.
    In: IMF Working Papers.
    RePEc:imf:imfwpa:2012/260.

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  22. Nonlinear expectations in speculative markets - Evidence from the ECB survey of professional forecasters. (2012). Reitz, Stefan ; Stadtmann, Georg ; Rulke, Jan-Christoph .
    In: Discussion Papers of Business and Economics.
    RePEc:hhs:sdueko:2012_001.

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  23. Crude oil price analysis and forecasting using wavelet decomposed ensemble model. (2012). Yu, Lean ; He, Kaijian ; Lai, Kin Keung.
    In: Energy.
    RePEc:eee:energy:v:46:y:2012:i:1:p:564-574.

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  24. Nonlinear expectations in speculative markets – Evidence from the ECB survey of professional forecasters. (2012). Reitz, Stefan ; Stadtmann, Georg ; Rulke, Jan-Christoph .
    In: Journal of Economic Dynamics and Control.
    RePEc:eee:dyncon:v:36:y:2012:i:9:p:1349-1363.

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  25. Nonlinear expectations in speculative markets: Evidence from the ECB survey of professional forecasters. (2011). Reitz, Stefan ; Stadtmann, Georg ; Rulke, Jan-Christoph .
    In: Kiel Working Papers.
    RePEc:zbw:ifwkwp:1706.

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  26. Forecasting the differences between various commercial oil prices in the Persian Gulf region by neural network. (2011). Mehdizadeh, Bahman ; Banihashemi, Morteza ; Kordkheili, Masoud Sheikhi ; Movagharnejad, Kamyar .
    In: Energy.
    RePEc:eee:energy:v:36:y:2011:i:7:p:3979-3984.

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  27. Testing for adjustment costs and regime shifts in BRENT crude futures market. (2011). mamatzakis, emmanuel ; Remoundos, P..
    In: Economic Modelling.
    RePEc:eee:ecmode:v:28:y:2011:i:3:p:1000-1008.

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  28. Threshold Cointegration in BRENT crude futures market. (2010). mamatzakis, emmanuel ; Remoundos, P.
    In: MPRA Paper.
    RePEc:pra:mprapa:19978.

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  29. Forecasting Model for Crude Oil Price Using Artificial Neural Networks and Commodity Futures Prices. (2009). Haidar, Imad ; Kulkarni, Siddhivinayak .
    In: Papers.
    RePEc:arx:papers:0906.4838.

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  30. Understanding Crude Oil Prices. (2008). Hamilton, James.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:14492.

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  31. Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm. (2008). Yu, Lean ; Lai, Kin Keung ; Wang, Shouyang.
    In: Energy Economics.
    RePEc:eee:eneeco:v:30:y:2008:i:5:p:2623-2635.

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  32. Oil prices: The role of refinery utilization, futures markets and non-linearities. (2008). Kaufmann, Robert ; Dees, Stephane ; Gasteuil, Audrey .
    In: Energy Economics.
    RePEc:eee:eneeco:v:30:y:2008:i:5:p:2609-2622.

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  33. A new approach for crude oil price analysis based on Empirical Mode Decomposition. (2008). Lai, K. K. ; Zhang, Xun ; Wang, Shou-Yang .
    In: Energy Economics.
    RePEc:eee:eneeco:v:30:y:2008:i:3:p:905-918.

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