IDEAS home Printed from https://ideas.repec.org/e/c/ppo59.html
   My authors  Follow this author

Gabriel Power

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Author Profile
    1. Comment of the Week: Speculation and Commodity Prices
      by Marc F. Bellemare in Marc F. Bellemare on 2013-06-07 14:00:43

Working papers

  1. Power, Gabriel J. & Robinson, John R.C., 2009. "Cotton Futures Dynamics: Structural Change, Index Traders and the Returns to Storage," 2009 Conference, April 20-21, 2009, St. Louis, Missouri 53044, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

    Cited by:

    1. Barham, E. Hart Bise & Robinson, John R.C. & Richardson, James W. & Rister, M. Edward, 2011. "Mitigating Cotton Revenue Risk Through Irrigation, Insurance, and Hedging," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(4), pages 1-12, November.
    2. Apperson, George P., 2014. "Agricultural Commodity Futures Market Volatility: A Case for Punctuated Equilibrium," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196760, Southern Agricultural Economics Association.
    3. Apperson, George P., 2017. "Agricultural Commodity Futures Price Volatility: A Market Regulatory Policy Study," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258210, Agricultural and Applied Economics Association.

  2. Power, Gabriel J. & Vedenov, Dmitry V., 2009. "The Price Shock Transmission during the 2007-2008 Commodity Bull Cycle: A Structural Vector Auto-Regression Approach to the "Chicken-or-Egg" Problem," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49538, Agricultural and Applied Economics Association.

    Cited by:

    1. Adjemian, Michael K. & Janzen, Joseph & Carter, Colin A. & Smith, Aaron, 2014. "Deconstructing Wheat Price Spikes: A Model of Supply and Demand, Financial Speculation, and Commodity Price Comovement," Economic Research Report 167369, United States Department of Agriculture, Economic Research Service.

  3. Thomsen, Michael R. & McKenzie, Andrew M. & Power, Gabriel J., 2009. "Volatility Surface and Skewness in Live Cattle Futures Price Distributions with Application to North American BSE Announcements," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49354, Agricultural and Applied Economics Association.

    Cited by:

    1. Valentina G. Bruno & Bahattin Büyükşahin & Michel A. Robe, 2017. "The Financialization of Food?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(1), pages 243-264.
    2. Marin Bozic, 2010. "Pricing Options on Commodity Futures: The Role of Weather and Storage," Working Papers 1003, The Institute of Economics, Zagreb.

  4. Mkrtchyan, Vardan & Welch, J. Mark & Power, Gabriel J., 2009. "Predicting the Corn Basis in the Texas Triangle Area," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46759, Southern Agricultural Economics Association.

    Cited by:

    1. Javier Ho & Paul Bernal, 2021. "Estimating a global demand model for soybean traffic through the Panama Canal," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-23, December.
    2. William Wilson & Prithviraj Lakkakula, 2021. "Secondary rail car markets for grain transportation and basis values," Agribusiness, John Wiley & Sons, Ltd., vol. 37(3), pages 472-488, July.
    3. Adjemian, Michael K. & Marshall, Kandice K. & Hubbs, Todd & Penn, Jerrod, 2016. "Decomposing Local Prices into Hedgeable and Unhedgeable Shocks," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235874, Agricultural and Applied Economics Association.

  5. Karali, Berna & Power, Gabriel J., 2009. "What Explains High Commodity Price Volatility? Estimating a Unified Model of Common and Commodity-Specific, High- and Low-Frequency Factors," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49576, Agricultural and Applied Economics Association.

    Cited by:

    1. Yao, Wei & Alexiou, Constantinos, 2022. "Exploring the transmission mechanism of speculative and inventory arbitrage activity to commodity price volatility. Novel evidence for the US economy," International Review of Financial Analysis, Elsevier, vol. 80(C).
    2. de Nicola, Francesca & De Pace, Pierangelo & Hernandez, Manuel A., 2014. "Co-movement of major commodity price returns : time-series assessment," Policy Research Working Paper Series 6845, The World Bank.
    3. Bakas, Dimitrios & Triantafyllou, Athanasios, 2018. "The impact of uncertainty shocks on the volatility of commodity prices," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 96-111.
    4. Karali, Berna & Ramirez, Octavio A., 2014. "Macro determinants of volatility and volatility spillover in energy markets," Energy Economics, Elsevier, vol. 46(C), pages 413-421.
    5. Hervé Ott, 2014. "Extent and possible causes of intrayear agricultural commodity price volatility," Agricultural Economics, International Association of Agricultural Economists, vol. 45(2), pages 225-252, March.
    6. Matthew Stuart & Cindy Yu & David A. Hennessy, 2023. "The Impact of Stocks on Correlations of Crop Yields and Prices and on Revenue Insurance Premiums using Semiparametric Quantile Regression," Papers 2308.11805, arXiv.org.
    7. Adjemian, Michael K. & Bruno, Valentina & Robe, Michel A. & Wallen, Jonathan, 2017. "What Drives Volatility Expectations in Grain and Oilseed Markets?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258452, Agricultural and Applied Economics Association.
    8. Jian Li & Jean-Paul Chavas & Xiaoli L. Etienne & Chongguang Li, 2017. "Commodity price bubbles and macroeconomics: evidence from the Chinese agricultural markets," Agricultural Economics, International Association of Agricultural Economists, vol. 48(6), pages 755-768, November.
    9. Knapp, Ed & Loughrey, Jason, 2017. "The Single Farm Payment and Income Risk in Irish Farms 2005 - 2013," SCC-76 Meeting, 2017, March 30-April 1, Pensacola, Florida 256317, SCC-76: Economics and Management of Risk in Agriculture and Natural Resources.
    10. Ruobing Liu & Jianhui Yang & Chuan-Yang Ruan, 2019. "The Impact of Macroeconomic News on Chinese Futures," IJFS, MDPI, vol. 7(4), pages 1-14, October.
    11. Duc Khuong Nguyen & Thomas Walther, 2020. "Modeling and forecasting commodity market volatility with long‐term economic and financial variables," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 126-142, March.
    12. Chimaliro, Aubrey Victor, 2018. "Analysis of main determinants of soya bean price volatility in Malawi," Research Theses 334743, Collaborative Masters Program in Agricultural and Applied Economics.
    13. Nicola, Francesca de & De Pace, Pierangelo & Hernandez, Manuel A., 2016. "Co-movement of major energy, agricultural, and food commodity price returns: A time-series assessment," Energy Economics, Elsevier, vol. 57(C), pages 28-41.
    14. Emiliano Magrini & Ayca Donmez, 2013. "Agricultural Commodity Price Volatility and Its Macroeconomic Determinants: A GARCH-MIDAS Approach," JRC Research Reports JRC84138, Joint Research Centre.
    15. Mittal, S & Hariharan, VK & Subash, SP, 2018. "Price volatility trends and price transmission for major staples in India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 31(1).
    16. Semei Coronado-Ram'irez & Pedro Celso-Arellano & Omar Rojas, 2014. "Adaptive Market Efficiency of Agricultural Commodity Futures Contracts," Papers 1412.8017, arXiv.org, revised Mar 2015.
    17. Mo, Di & Gupta, Rakesh & Li, Bin & Singh, Tarlok, 2018. "The macroeconomic determinants of commodity futures volatility: Evidence from Chinese and Indian markets," Economic Modelling, Elsevier, vol. 70(C), pages 543-560.
    18. Kornher, Lukas & Kalkuhl, Matthias, 2013. "Food Price Volatility in Developing Countries and its Determinants," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(4), pages 1-32, November.
    19. Ye, Shiyu & Karali, Berna & Ramirez, Octavio A., 2014. "Event Study of Energy Price Volatility: An Application of Distributional Event Response Model," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170207, Agricultural and Applied Economics Association.
    20. Leonardo Hernán Talero-Sarmiento & Henry Lamos-Díaz & Edwin Alberto Garavito-Hernández, 2019. "Evaluación de la hipótesis de eficiencia débil y análisis de causalidad en las centrales de abastos de Colombia," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 38(67), pages 35-69, February.
    21. Gardebroek, Cornelis & Hernandez, Manuel A. & Robles, Miguel, 2014. "Market interdependence and volatility transmission among major crops:," IFPRI discussion papers 1344, International Food Policy Research Institute (IFPRI).
    22. Ott, Herve, 2012. "Which factors drive which volatility in the grain sector?," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122486, European Association of Agricultural Economists.
    23. Chyi Lin Lee & Simon Stevenson & Ming‐Long Lee, 2018. "Low‐frequency volatility of real estate securities and macroeconomic risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 311-342, November.
    24. Huchet, Nicolas & Fam, Papa Gueye, 2016. "The role of speculation in international futures markets on commodity prices," Research in International Business and Finance, Elsevier, vol. 37(C), pages 49-65.
    25. Covindassamy, Genevre & Robe, Michel A. & Wallen, Jonathan, 2016. "Sugar With Your Coffee?: Financials, Fundamentals, and Soft Price Uncertainty," IDB Publications (Working Papers) 8588, Inter-American Development Bank.
    26. Ojogho, Osaihiomwan & Egware, Robert Awotu, 2015. "Price Generating Process And Volatility In Nigerian Agricultural Commodities Market," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(4), pages 1-10, October.
    27. 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.
    28. Yannick Le Pen & Benoît Sévi, 2013. "Futures Trading and the Excess Comovement of Commodity Prices," AMSE Working Papers 1301, Aix-Marseille School of Economics, France, revised Jan 2013.
    29. Algirdas Justinas Staugaitis & Bernardas Vaznonis, 2022. "Short-Term Speculation Effects on Agricultural Commodity Returns and Volatility in the European Market Prior to and during the Pandemic," Agriculture, MDPI, vol. 12(5), pages 1-26, April.
    30. Lee, Chyi Lin & Stevenson, Simon & Cho, Hyunbum, 2022. "Listed real estate futures trading, market efficiency, and direct real estate linkages: International evidence," Journal of International Money and Finance, Elsevier, vol. 127(C).
    31. von Braun, Joachim & Tadesse, Getaw, 2012. "Global Food Price Volatility and Spikes: An Overview of Costs, Causes, and Solutions," Discussion Papers 120021, University of Bonn, Center for Development Research (ZEF).
    32. Trujillo-Barrera, Andres & Pennings, Joost M.E., 2013. "Energy and Food Commodity Prices Linkage: An Examination with Mixed-Frequency Data," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150465, Agricultural and Applied Economics Association.
    33. Martinho, V.J.P.D., 2020. "Relationships between agricultural energy and farming indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).

  6. Power, Gabriel J. & Vedenov, Dmitry V., 2008. "The Shape of the Optimal Hedge Ratio: Modeling Joint Spot-Futures Prices using an Empirical Copula-GARCH Model," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37609, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

    Cited by:

    1. Haarstad, Aleksander H. & Lavrutich, Maria & Strypet, Kristian & Strøm, Eivind, 2022. "Multi-commodity price risk hedging in the Atlantic salmon farming industry," Journal of Commodity Markets, Elsevier, vol. 25(C).
    2. Liu, Xiaochun & Jacobsen, Brian, 2011. "The Dynamic International Optimal Hedge Ratio," MPRA Paper 35260, University Library of Munich, Germany.
    3. Vadhindran K. Rao, 2011. "Multiperiod Hedging using Futures: Mean Reversion and the Optimal Hedging Path," JRFM, MDPI, vol. 4(1), pages 1-29, December.

Articles

  1. Gagnon, Marie-Hélène & Manseau, Guillaume & Power, Gabriel J., 2020. "They're back! Post-financialization diversification benefits of commodities," International Review of Financial Analysis, Elsevier, vol. 71(C).

    Cited by:

    1. Rubbaniy, Ghulame & Khalid, Ali Awais & Syriopoulos, Konstantinos & Samitas, Aristeidis, 2022. "Safe-haven properties of soft commodities during times of Covid-19," Journal of Commodity Markets, Elsevier, vol. 27(C).
    2. Qadan, Mahmoud & Idilbi, Yasmeen, 2022. "Presidential honeymoons, political cycles and the commodity market," Resources Policy, Elsevier, vol. 77(C).
    3. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2021. "How do Artificial Intelligence and Robotics Stocks co-move with traditional and alternative assets in the age of the 4th industrial revolution? Implications and Insights for the COVID-19 period," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    4. Sharma, Aarzoo, 2022. "A comparative analysis of the financialization of commodities during COVID-19 and the global financial crisis using a quantile regression approach," Resources Policy, Elsevier, vol. 78(C).

  2. Marie-Hélène Gagnon and Gabriel J. Power, 2020. "International Oil Market Risk Anticipations and the Cushing Bottleneck: Option-implied Evidence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6), pages 255-280.

    Cited by:

    1. Zhu, Xuehong & Liao, Jianhui & Chen, Ying, 2021. "Time-varying effects of oil price shocks and economic policy uncertainty on the nonferrous metals industry: From the perspective of industrial security," Energy Economics, Elsevier, vol. 97(C).
    2. Wong, Patrick, 2023. "Explaining intraday crude oil returns with higher order risk-neutral moments," Journal of Commodity Markets, Elsevier, vol. 31(C).

  3. Liu, Pan & Vedenov, Dmitry & Power, Gabriel J., 2020. "Commodity financialization and sector ETFs: Evidence from crude oil futures," Research in International Business and Finance, Elsevier, vol. 51(C).

    Cited by:

    1. Faheem Aslam & Paulo Ferreira & Haider Ali & Ana Ercília José, 2022. "Application of Multifractal Analysis in Estimating the Reaction of Energy Markets to Geopolitical Acts and Threats," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    2. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
    3. Kang, Sanghoon & Hernandez, Jose Arreola & Sadorsky, Perry & McIver, Ronald, 2021. "Frequency spillovers, connectedness, and the hedging effectiveness of oil and gold for US sector ETFs," Energy Economics, Elsevier, vol. 99(C).
    4. Rehman, Mobeen Ur & Vo, Xuan Vinh & McIver, Ron & Kang, Sang Hoon, 2022. "Sensitivity of US sectoral returns to energy commodities under different investment horizons and market conditions," Energy Economics, Elsevier, vol. 108(C).
    5. Hernandez, Jose Arreola & Shahzad, Syed Jawad Hussain & Sadorsky, Perry & Uddin, Gazi Salah & Bouri, Elie & Kang, Sang Hoon, 2022. "Regime specific spillovers across US sectors and the role of oil price volatility," Energy Economics, Elsevier, vol. 107(C).

  4. Djerry C. Tandja M., Gabriel J. Power, and Josée Bastien, 2018. "Real Option Valuation in a Gollier/Weitzman World: The Effect of Long-Run Discount Rate Uncertainty," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).

    Cited by:

    1. Boqiang Lin & Siquan Wang, 2023. "Mechanism analysis of the influence of oil price uncertainty on strategic investment of renewable energy enterprises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4176-4193, October.

  5. Liu, Pan & Vedenov, Dmitry & Power, Gabriel J., 2017. "Is hedging the crack spread no longer all it's cracked up to be?," Energy Economics, Elsevier, vol. 63(C), pages 31-40.

    Cited by:

    1. Beatriz Martínez Martínez & Hipolit Torro Enguix, 2017. "Hedging spark spread risk with futures," Working Papers. Serie EC 2017-01, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    2. Fousekis, Panos & Grigoriadis, Vasilis, 2017. "Price co-movement and the crack spread in the US futures markets," Journal of Commodity Markets, Elsevier, vol. 7(C), pages 57-71.
    3. Shrestha, Keshab & Subramaniam, Ravichandran & Peranginangin, Yessy & Philip, Sheena Sara Suresh, 2018. "Quantile hedge ratio for energy markets," Energy Economics, Elsevier, vol. 71(C), pages 253-272.
    4. Vedenov, Dmitry & Power, Gabriel J., 2022. "We don't need no fancy hedges! Or do we?," International Review of Financial Analysis, Elsevier, vol. 81(C).
    5. Dionne, Georges & El Hraiki, Rayane & Mnasri, Mohamed, 2023. "Determinants and real effects of joint hedging: An empirical analysis of US oil and gas producers," Working Papers 23-3, HEC Montreal, Canada Research Chair in Risk Management.
    6. Arunanondchai, Panit & Sukcharoen, Kunlapath & Leatham, David J., 2020. "Dealing with tail risk in energy commodity markets: Futures contracts versus exchange-traded funds," Journal of Commodity Markets, Elsevier, vol. 20(C).
    7. Dionne, Georges & El Hraiki, Rayane & Mnasri, Mohamed, 2022. "Determinants and real effects of joint hedging: An empirical analysis of the US petroleum industry," Working Papers 22-4, HEC Montreal, Canada Research Chair in Risk Management.
    8. Sukcharoen, Kunlapath & Leatham, David J., 2017. "Hedging downside risk of oil refineries: A vine copula approach," Energy Economics, Elsevier, vol. 66(C), pages 493-507.

  6. Joshua D. Woodard & Leslie Verteramo Chiu & Gabriel Power & Dmitry Vedenov & Steven Klose, 2017. "Factors Affecting Changes in Managerial Decisions," Agribusiness, John Wiley & Sons, Ltd., vol. 33(3), pages 443-465, June.

    Cited by:

    1. Bitsch, Linda & Hanf, Jon H., 2022. "The perfect match: interpersonal relationships and their impact on chain management," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 25(3), March.

  7. Power, Gabriel J. & Eaves, James & Turvey, Calum & Vedenov, Dmitry, 2017. "Catching the curl: Wavelet thresholding improves forward curve modelling," Economic Modelling, Elsevier, vol. 64(C), pages 312-321.

    Cited by:

    1. Horváth, Lajos & Liu, Zhenya & Rice, Gregory & Wang, Shixuan, 2020. "A functional time series analysis of forward curves derived from commodity futures," International Journal of Forecasting, Elsevier, vol. 36(2), pages 646-665.
    2. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    3. David Hudgins & Patrick M. Crowley, 2023. "Resilient Control for Macroeconomic Models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1403-1431, April.
    4. Fan He & Xuansen He, 2019. "A Continuous Differentiable Wavelet Shrinkage Function for Economic Data Denoising," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 729-761, August.
    5. Hudgins, David & Crowley, Patrick M., 2017. "Modelling a small open economy using a wavelet-based control model," Bank of Finland Research Discussion Papers 32/2017, Bank of Finland.
    6. David Hudgins & Patrick M. Crowley, 2019. "Stress-Testing U.S. Macroeconomic Policy: A Computational Approach Using Stochastic and Robust Designs in a Wavelet-Based Optimal Control Framework," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1509-1546, April.
    7. Wen, Shaobo & An, Haizhong & Huang, Shupei & Liu, Xueyong, 2019. "Dynamic impact of China's stock market on the international commodity market," Resources Policy, Elsevier, vol. 61(C), pages 564-571.

  8. Marie-Hélène Gagnon & Gabriel J. Power, 2016. "Testing for changes in option-implied risk aversion," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 8(1), pages 58-79, June.

    Cited by:

    1. Dossani, Asad, 2021. "Central bank tone and currency risk premia," Journal of International Money and Finance, Elsevier, vol. 117(C).

  9. Eaves, James & Williams, Jeffrey & Power, Gabriel J., 2016. "Do traders strategically time their pledges during real-world Walrasian auctions?," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 109-118.

    Cited by:

    1. Chen, Huayi & Ma, Tieju, 2021. "Technology adoption and carbon emissions with dynamic trading among heterogeneous agents," Energy Economics, Elsevier, vol. 99(C).

  10. Kropp, Jaclyn D. & Power, Gabriel J., 2016. "Asset fixity and backward-bending investment demand functions," Research in International Business and Finance, Elsevier, vol. 38(C), pages 151-160.

    Cited by:

    1. Arif Khan, Muhammad & Qin, Xuezhi & Jebran, Khalil & Ullah, Irfan, 2020. "Uncertainty and R&D investment: Does product market competition matter?," Research in International Business and Finance, Elsevier, vol. 52(C).
    2. Óscar Gutiérrez, 2021. "Real options and the perverse effect of interest rates on investment timing," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3984-3996, July.
    3. Arif Khan, Muhammad & Qin, Xuezhi & Jebran, Khalil, 2019. "Does uncertainty influence the leverage-investment association in Chinese firms?," Research in International Business and Finance, Elsevier, vol. 50(C), pages 134-152.
    4. Gutiérrez, Óscar, 2020. "On the definition of the investment-uncertainty relationship," Journal of Economics and Business, Elsevier, vol. 112(C).

  11. Power, Gabriel J. & Burris, Mark & Vadali, Sharada & Vedenov, Dmitry, 2016. "Valuation of strategic options in public–private partnerships," Transportation Research Part A: Policy and Practice, Elsevier, vol. 90(C), pages 50-68.

    Cited by:

    1. Silaghi, Florina & Sarkar, Sudipto, 2021. "Agency problems in public-private partnerships investment projects," European Journal of Operational Research, Elsevier, vol. 290(3), pages 1174-1191.
    2. Shi, Shasha & An, Qingxian & Chen, Ke, 2020. "Optimal choice of capacity, toll, and subsidy for build-operate-transfer roads with a paid minimum traffic guarantee," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 228-254.
    3. Kangsoo Kim & Hyejin Cho & Donghyung Yook, 2019. "Financing for a Sustainable PPP Development: Valuation of the Contractual Rights under Exercise Conditions for an Urban Railway PPP Project in Korea," Sustainability, MDPI, vol. 11(6), pages 1-14, March.
    4. Martine Van den Boomen & Sjoerd Van der Meulen & Jonathan Van Ekris & Roel Spanjers & Olle Ten Voorde & Janwim Mulder & Peter Blommaart, 2021. "Optimized Expansion Strategy for a Hydrogen Pipe Network in the Port of Rotterdam with Compound Real Options Analysis," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    5. Li, Shuai & Cai, Hubo, 2017. "Government incentive impacts on private investment behaviors under demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 115-129.
    6. Kangsoo Kim & Jinoh Kim & Donghyung Yook, 2021. "Analysis of Features Affecting Contracted Rate of Return of Korean PPP Projects," Sustainability, MDPI, vol. 13(6), pages 1-21, March.

  12. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2016. "International stock market cointegration under the risk-neutral measure," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 243-255.

    Cited by:

    1. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2023. "The sum of all fears: Forecasting international returns using option-implied risk measures," Journal of Banking & Finance, Elsevier, vol. 146(C).
    2. Yao, Xingzhi & Izzeldin, Marwan & Li, Zhenxiong, 2019. "A novel cluster HAR-type model for forecasting realized volatility," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1318-1331.
    3. Junyu Zhang & Xinfeng Ruan & Jin E. Zhang, 2023. "Risk‐neutral moments and return predictability: International evidence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1086-1111, August.
    4. Hazar Altinbas, 2020. "Examining Time-Varying Integrity And Interrelationships Among Global Stock Markets," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 9(1), pages 1-24, June.
    5. Gil-Alana, Luis A. & Infante, Juan & Martín-Valmayor, Miguel Angel, 2023. "Persistence and long run co-movements across stock market prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 347-357.
    6. José Carlos Vides & Antonio A. Golpe & Jesús Iglesias, 2018. "How did the Sovereign debt crisis affect the Euro financial integration? A fractional cointegration approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 685-706, November.
    7. Dimitrios Vortelinos & Konstantinos Gkillas (Gillas) & Costas Syriopoulos & Argyro Svingou, 2017. "Asymmetric and nonlinear inter-relations of US stock indices," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 14(1), pages 78-129, December.

  13. Berna Karali & Gabriel J. Power, 2013. "Short- and Long-Run Determinants of Commodity Price Volatility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(3), pages 724-738. See citations under working paper version above.
  14. Gabriel J. Power & John R. C. Robinson, 2013. "Commodity futures price volatility, convenience yield and economic fundamentals," Applied Economics Letters, Taylor & Francis Journals, vol. 20(11), pages 1089-1095, July.

    Cited by:

    1. Mo, Di & Gupta, Rakesh & Li, Bin & Singh, Tarlok, 2018. "The macroeconomic determinants of commodity futures volatility: Evidence from Chinese and Indian markets," Economic Modelling, Elsevier, vol. 70(C), pages 543-560.

  15. Gabriel J. Power & Dmitry V. Vedenov & David P. Anderson & Steven Klose, 2013. "Market volatility and the dynamic hedging of multi-commodity price risk," Applied Economics, Taylor & Francis Journals, vol. 45(27), pages 3891-3903, September.

    Cited by:

    1. Aleksander Olstad & George Filis & Stavros Degiannakis, 2021. "Oil and currency volatilities: Co‐movements and hedging opportunities," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2351-2374, April.
    2. Aglasan, Serkan & Wu, Shenan & Goodwin, Barry K., 2021. "Cross-hedging with Agricultural Commodities: A Copula-GARCH Approach," 2021 Annual Meeting, August 1-3, Austin, Texas 313960, Agricultural and Applied Economics Association.
    3. Xiaoyong Xiao & Jing Huang, 2018. "Dynamic Connectedness of International Crude Oil Prices: The Diebold–Yilmaz Approach," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    4. Maitra, Debasish & Chandra, Saurabh & Dash, Saumya Ranjan, 2020. "Liner shipping industry and oil price volatility: Dynamic connectedness and portfolio diversification," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    5. Liu, Pan & Vedenov, Dmitry & Power, Gabriel J., 2017. "Is hedging the crack spread no longer all it's cracked up to be?," Energy Economics, Elsevier, vol. 63(C), pages 31-40.
    6. Haarstad, Aleksander H. & Lavrutich, Maria & Strypet, Kristian & Strøm, Eivind, 2022. "Multi-commodity price risk hedging in the Atlantic salmon farming industry," Journal of Commodity Markets, Elsevier, vol. 25(C).

  16. Joshua D. Woodard & Nicholas D. Paulson & Dmitry Vedenov & Gabriel J. Power, 2011. "Impact of copula choice on the modeling of crop yield basis risk," Agricultural Economics, International Association of Agricultural Economists, vol. 42, pages 101-112, November.

    Cited by:

    1. Zhang, Yifei & Goodwin, Barry K., 2020. "Implications of U.S. Crop Insurance -- A Perspective from Copulas," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304343, Agricultural and Applied Economics Association.
    2. Ruiqing Miao & David A. Hennessy & Hongli Feng, 2012. "Effects of Crop Insurance Subsidies and Sodsaver on Land Use Change, The," Center for Agricultural and Rural Development (CARD) Publications 12-wp530, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    3. Wienand Kölle & Andrea Martínez Salgueiro & Matthias Buchholz & Oliver Musshoff, 2021. "Can satellite‐based weather index insurance improve the hedging of yield risk of perennial non‐irrigated olive trees in Spain?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 66-93, January.
    4. Awondo, Sebastain N., 2019. "Efficiency of region-wide catastrophic weather risk pools: Implications for African Risk Capacity insurance program," Journal of Development Economics, Elsevier, vol. 136(C), pages 111-118.
    5. Christopher N. Boyer & B. Wade Brorsen & Emmanuel Tumusiime, 2015. "Modeling skewness with the linear stochastic plateau model to determine optimal nitrogen rates," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 1-10, January.

  17. Gabriel Power & Calum Turvey, 2011. "Revealing the impact of index traders on commodity futures markets," Applied Economics Letters, Taylor & Francis Journals, vol. 18(7), pages 621-626.

    Cited by:

    1. Çınar, Gökhan & Uzmay, Ayse, 2017. "Does Fear (Vix Index) Incite Volatility In Food Prices?," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 5(2), April.
    2. Xiaojie Xu, 2018. "Causal structure among US corn futures and regional cash prices in the time and frequency domain," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(13), pages 2455-2480, October.
    3. Alzahrani, Mohammed & Masih, Mansur & Al-Titi, Omar, 2014. "Linear and non-linear Granger causality between oil spot and futures prices: A wavelet based test," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 175-201.
    4. Brian J. Henderson & Neil D. Pearson & Li Wang, 2015. "Editor's Choice New Evidence on the Financialization of Commodity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 28(5), pages 1285-1311.

  18. Berna Karali & Gabriel J. Power & Ariun Ishdorj, 2011. "Bayesian State-Space Estimation of Stochastic Volatility for Storable Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 434-440.

    Cited by:

    1. Diewald, Laszlo & Prokopczuk, Marcel & Wese Simen, Chardin, 2015. "Time-variations in commodity price jumps," Journal of Empirical Finance, Elsevier, vol. 31(C), pages 72-84.
    2. Adjemian, Michael K. & Bruno, Valentina & Robe, Michel A. & Wallen, Jonathan, 2017. "What Drives Volatility Expectations in Grain and Oilseed Markets?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258452, Agricultural and Applied Economics Association.
    3. Brorsen, B. Wade, 2013. "Using Bayesian Estimation and Decision Theory to Determine the Optimal Level of Nitrogen in Cotton," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142951, Southern Agricultural Economics Association.
    4. Gao, Lei & Mei, Bin, 2013. "Investor attention and abnormal performance of timberland investments in the United States," Forest Policy and Economics, Elsevier, vol. 28(C), pages 60-65.

  19. G. J. Power & C. Turvey, 2011. "What explains long memory in futures price volatility?," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3395-3404.

    Cited by:

    1. Shalini, Velappan & Prasanna, Krishna, 2016. "Impact of the financial crisis on Indian commodity markets: Structural breaks and volatility dynamics," Energy Economics, Elsevier, vol. 53(C), pages 40-57.

  20. Power, Gabriel J. & Turvey, Calum G., 2010. "Long-range dependence in the volatility of commodity futures prices: Wavelet-based evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(1), pages 79-90.

    Cited by:

    1. Calum G. Turvey, 2010. "Biography," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(1), pages 5-20, May.
    2. Zunino, Luciano & Tabak, Benjamin M. & Serinaldi, Francesco & Zanin, Massimiliano & Pérez, Darío G. & Rosso, Osvaldo A., 2011. "Commodity predictability analysis with a permutation information theory approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(5), pages 876-890.
    3. Hedi Kortas & Zouhaier Dhifaoui & Samir Ben Ammou, 2012. "On wavelet analysis of the nth order fractional Brownian motion," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(3), pages 251-277, August.
    4. Heckelei, T. & Amrouk, E.M. & Grosche, S., 2018. "International interdependence between cash crop and staple food futures price indices: A wavelet-BEKK-GARCH assessment," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277376, International Association of Agricultural Economists.
    5. Jean-Christophe Statnik & David Verstraete, 2015. "Price dynamics in agricultural commodity markets: a comparison of European and US markets," Empirical Economics, Springer, vol. 48(3), pages 1103-1117, May.
    6. Zou, Shaohui & Zhang, Tian, 2020. "Multifractal detrended cross-correlation analysis of the relation between price and volume in European carbon futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    7. Avishek Bhandari & Bandi Kamaiah, 2020. "Long memory in select stock returns using an alternative wavelet log-scale alignment approach," Papers 2004.08550, arXiv.org.
    8. Li, Zhihui & Lu, Xinsheng, 2012. "Cross-correlations between agricultural commodity futures markets in the US and China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(15), pages 3930-3941.
    9. Mitra, Subrata Kumar & Bhatia, Vaneet & Jana, R.K. & Charan, Parikshit & Chattopadhyay, Manojit, 2018. "Changing value detrended cross correlation coefficient over time: Between crude oil and crop prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 671-678.
    10. Mishra, Shekhar & Sharif, Arshian & Khuntia, Sashikanta & Meo, Muhammad Saeed & Rehman Khan, Syed Abdul, 2019. "Does oil prices impede Islamic stock indices? Fresh insights from wavelet-based quantile-on-quantile approach," Resources Policy, Elsevier, vol. 62(C), pages 292-304.
    11. Sándor Kovács & Prasert Chaitip & Chukiat Chaiboonsri & Péter Balogh, 2012. "The Long Memory Property of Hungarian Market Pig Prices: A Comparison of Three Different Methods," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 12(3), pages 123-138.
    12. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.
    13. Avishek Bhandari & Bandi Kamaiah, 2021. "Long Memory and Fractality Among Global Equity Markets: a Multivariate Wavelet Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 23-37, March.
    14. Liesivaara, Petri & Myyrä, Sami, 2016. "Income stabilisation tool and the pig gross margin index for the Finnish pig sector," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236360, Agricultural Economics Society.
    15. Ladislav Kristoufek, 2013. "Testing power-law cross-correlations: Rescaled covariance test," Papers 1307.4727, arXiv.org, revised Aug 2013.
    16. Franco Ruzzenenti, 2015. "Changes in the relationship between the financial and real sector and the present economic financial crisis: study of energy sector and market," Working papers wpaper105, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.
    17. Kristoufek, Ladislav, 2013. "Mixed-correlated ARFIMA processes for power-law cross-correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6484-6493.
    18. Shalini, Velappan & Prasanna, Krishna, 2016. "Impact of the financial crisis on Indian commodity markets: Structural breaks and volatility dynamics," Energy Economics, Elsevier, vol. 53(C), pages 40-57.
    19. Wang, Yudong & Wei, Yu & Wu, Chongfeng, 2010. "Auto-correlated behavior of WTI crude oil volatilities: A multiscale perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5759-5768.
    20. García-Carranco, Sergio M. & Bory-Reyes, Juan & Balankin, Alexander S., 2016. "The crude oil price bubbling and universal scaling dynamics of price volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 60-68.
    21. Bhandari, Avishek, 2020. "Long Memory and Correlation Structures of Select Stock Returns Using Novel Wavelet and Fractal Connectivity Networks," MPRA Paper 101946, University Library of Munich, Germany.
    22. Dong, Minyi & Chang, Chun-Ping & Gong, Qiang & Chu, Yin, 2019. "Revisiting global economic activity and crude oil prices: A wavelet analysis," Economic Modelling, Elsevier, vol. 78(C), pages 134-149.
    23. Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Upward/downward multifractality and efficiency in metals futures markets: The impacts of financial and oil crises," Resources Policy, Elsevier, vol. 76(C).
    24. Pal, Debdatta & Mitra, Subrata K., 2017. "Time-frequency contained co-movement of crude oil and world food prices: A wavelet-based analysis," Energy Economics, Elsevier, vol. 62(C), pages 230-239.
    25. Marques, G.O.L.C., 2011. "Empirical aspects of the Whittle-based maximum likelihood method in jointly estimating seasonal and non-seasonal fractional integration parameters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(1), pages 8-17.
    26. Liu, Li, 2014. "Cross-correlations between crude oil and agricultural commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 293-302.
    27. Fei Gao & Shuaiqiang Liu & Cornelis W. Oosterlee & Nico M. Temme, 2022. "Solution of integrals with fractional Brownian motion for different Hurst indices," Papers 2203.02323, arXiv.org, revised Mar 2022.
    28. Ruan, Qingsong & Cui, Hao & Fan, Liming, 2020. "China’s soybean crush spread: Nonlinear analysis based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    29. Bhandari, Avishek, 2020. "Long memory and fractality among global equity markets: A multivariate wavelet approach," MPRA Paper 99653, University Library of Munich, Germany.
    30. Yue-Jun Zhang & Shu-Hui Li, 2019. "The impact of investor sentiment on crude oil market risks: evidence from the wavelet approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(8), pages 1357-1371, August.

  21. Gabriel J. Power & Dmitry Vedenov, 2010. "Dealing with downside risk in a multi‐commodity setting: A case for a “Texas hedge”?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(3), pages 290-304, March.

    Cited by:

    1. Fei, Chengcheng & Vedenov, Dmitry & Stevens, Reid B. & Anderson, David, 2021. "Single-Commodity vs. Joint Hedging in Cattle Feeding Cycle: Is Joint Hedging Always Essential?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 46(3), September.
    2. Ahmedov, Zafarbek & Woodard, Joshua D., 2012. "Do RIN Mandates and Blender's Tax Credit Affect Blenders' Hedging Strategies?," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124980, Agricultural and Applied Economics Association.
    3. Vedenov, Dmitry & Power, Gabriel J., 2022. "We don't need no fancy hedges! Or do we?," International Review of Financial Analysis, Elsevier, vol. 81(C).
    4. Liu, Pan & Vedenov, Dmitry & Power, Gabriel J., 2017. "Is hedging the crack spread no longer all it's cracked up to be?," Energy Economics, Elsevier, vol. 63(C), pages 31-40.
    5. Dionne, Georges & El Hraiki, Rayane & Mnasri, Mohamed, 2023. "Determinants and real effects of joint hedging: An empirical analysis of US oil and gas producers," Working Papers 23-3, HEC Montreal, Canada Research Chair in Risk Management.
    6. Power, Gabriel J. & Vedenov, Dmitry, 2023. "Who's afraid of a Texas hedge?," Energy Economics, Elsevier, vol. 127(PB).
    7. Arunanondchai, Panit & Sukcharoen, Kunlapath & Leatham, David J., 2020. "Dealing with tail risk in energy commodity markets: Futures contracts versus exchange-traded funds," Journal of Commodity Markets, Elsevier, vol. 20(C).
    8. Dionne, Georges & El Hraiki, Rayane & Mnasri, Mohamed, 2022. "Determinants and real effects of joint hedging: An empirical analysis of the US petroleum industry," Working Papers 22-4, HEC Montreal, Canada Research Chair in Risk Management.
    9. Sukcharoen, Kunlapath & Leatham, David J., 2017. "Hedging downside risk of oil refineries: A vine copula approach," Energy Economics, Elsevier, vol. 66(C), pages 493-507.

  22. Gabriel Power & Calum Turvey, 2010. "US rural land value bubbles," Applied Economics Letters, Taylor & Francis Journals, vol. 17(7), pages 649-656.

    Cited by:

    1. Salois, Matthew & Moss, Charles, 2010. "An Information Approach to the Dynamics in Farm Income: Implications for Farmland Markets," MPRA Paper 26850, University Library of Munich, Germany.
    2. Plogmann, Jana & Mußhoff, Oliver & Odening, Martin & Ritter, Matthias, 2022. "Farmland sales under returns and price uncertainty," Economic Modelling, Elsevier, vol. 117(C).
    3. Plogmann, Jana & Mußhoff, Oliver & Odening, Martin & Ritter, Matthias, 2018. "What moves the German land market? A decomposition of the land rent-price ratio," FORLand Working Papers 05 (2018), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    4. Brett Olsen & Jeffrey Stokes, 2015. "Is Farm Real Estate The Next Bubble?," The Journal of Real Estate Finance and Economics, Springer, vol. 50(3), pages 355-376, April.
    5. Kyungwon Kim & Jae Wook Song, 2020. "Detecting Possible Reduction of the Housing Bubble in Korea for Different Residential Types and Regions," Sustainability, MDPI, vol. 12(3), pages 1-31, February.
    6. Todd Kuethe & Todd Hubbs & Mitch Morehart, 2014. "Farmland returns and economic conditions: a FAVAR approach," Empirical Economics, Springer, vol. 47(1), pages 129-142, August.
    7. Jian Liang & Ameeta Jain & Hao Wu, 2021. "Does Corporate Social Responsibility Vary by Real Estate Asset Types? Evidence from Real Estate Investment Trusts," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    8. Gabruch, Mandy L. & Micheels, Eric T., 2017. "2016 WAEA Winning Student Submission: The Effect of Saskatchewan's Ownership Restrictions on Farmland Values," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(1), pages 1-13, January.

  23. Welch, J. Mark & Mkrtchyan, Vardan & Power, Gabriel J., 2009. "Predicting the Corn Basis in the Texas Triangle Area," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 27(1-2), pages 1-15.
    See citations under working paper version above.
  24. Vedenov, Dmitry V. & Power, Gabriel J., 2008. "Risk-Reducing Effectiveness of Revenue versus Yield Insurance in the Presence of Government Payments," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(2), pages 1-17, August.

    Cited by:

    1. Ruiqing Miao & David A. Hennessy & Hongli Feng, 2012. "Effects of Crop Insurance Subsidies and Sodsaver on Land Use Change, The," Center for Agricultural and Rural Development (CARD) Publications 12-wp530, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    2. Abel Tiemtore, 2021. "Examining the effects of agricultural income insurance on farmers in Burkina Faso," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(3), pages 422-439, July.
    3. Gabriel J. Power & Dmitry V. Vedenov & Sung‐wook Hong, 2009. "The impact of the average crop revenue election (ACRE) program on the effectiveness of crop insurance," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 69(3), pages 330-345, November.
    4. Branscum, D. Ethan & Nalley, Lawton L. & Dixon, Bruce L. & Siebenmorgen, Terry J. & Tack, Jesse & Danforth, Diana M., 2014. "Implications of Rice Variety Selection to Optimize Returns from Crop Insurance," 2014 AAEA: Crop Insurance and the 2014 Farm Bill Symposium: Implementing Change in U.S. Agricultural Policy, October 8-9, 2014, Louisville, KY 184247, Agricultural and Applied Economics Association.
    5. Shyam Adhikari & Eric J. Belasco & Thomas O. Knight, 2010. "Spatial producer heterogeneity in crop insurance product decisions within major corn producing states," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(1), pages 66-78, May.
    6. Claassen, Roger & Carriazo, Fernando & Cooper, Joseph C. & Hellerstein, Daniel & Ueda, Kohei, 2011. "Grassland to Cropland Conversion in the Northern Plains: The Role of Crop Insurance, Commodity, and Disaster Programs," Economic Research Report 262239, United States Department of Agriculture, Economic Research Service.

  25. Yanhong H. Jin & Gabriel J. Power & Levan Elbakidze, 2008. "The Impact of North American BSE Events on Live Cattle Futures Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(5), pages 1279-1286.

    Cited by:

    1. GwanSeon Kim & Tyler Mark, 2017. "Impacts of corn price and imported beef price on domestic beef price in South Korea," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-13, December.
    2. Chen, Chen-Ti & Crespi, John M. & Hahn, William & Schulz, Lee L. & Taha, Fawzi, 2020. "Long‐run impacts of trade shocks and export competitiveness: Evidence from the U.S. BSE event," ISU General Staff Papers 202011010700001780, Iowa State University, Department of Economics.
    3. Aldy, Joseph E. & Viscusi, W. Kip, 2013. "Risk Regulation Lessons from Mad Cows," Working Paper Series rwp13-047, Harvard University, John F. Kennedy School of Government.
    4. Brittain, Lee & Garcia, Philip & Irwin, Scott H., 2011. "Live and Feeder Cattle Options Markets: Returns, Risk, and Volatility Forecasting," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(1), pages 1-20, April.
    5. Klomp, Jeroen, 2020. "The impact of Russian sanctions on the return of agricultural commodity futures in the EU," Research in International Business and Finance, Elsevier, vol. 51(C).
    6. Houser, Dwight M. & Karali, Berna, 2017. "How Scary Are Food Scares? Evidence from Animal Disease Outbreaks," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258500, Agricultural and Applied Economics Association.
    7. Guney, Selin, 2015. "An evaluation of price forecasts of the cattle market under structural changes," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205109, Agricultural and Applied Economics Association.
    8. Hagerman, Amy D. & Jin, Yanhong H., 2009. "The Buzz In The Pits: Livestock Futures' Response To A Rumor Of Foreign Animal Disease," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49493, Agricultural and Applied Economics Association.
    9. Miao Zhen & James Rude & Feng Qiu, 2018. "Price Volatility Spillovers in the Western Canadian Feed Barley, U.S. Corn, and Alberta Cattle Markets," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(2), pages 209-229, June.
    10. Thomsen, Michael R. & McKenzie, Andrew M. & Power, Gabriel J., 2009. "Volatility Surface and Skewness in Live Cattle Futures Price Distributions with Application to North American BSE Announcements," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49354, Agricultural and Applied Economics Association.
    11. Tong Wang & David A. Hennessy & Seong C. Park, 2016. "Demand Side Change, Rurality, and Gender in the United States Veterinarian Market, 1990–2010," Agribusiness, John Wiley & Sons, Ltd., vol. 32(2), pages 236-253, April.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.