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Berna Karali

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.

Working papers

  1. Karali, Berna & Isengildina Massa, Olga & Irwin, Scott H., 2018. "Does Noise in Market Expectations Dilute Price Reactions to USDA Reports?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273973, Agricultural and Applied Economics Association.

    Cited by:

    1. Nicolas Legrand, 2023. "War in Ukraine: The rational “wait‐and‐see” mode of global food markets," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(2), pages 626-644, June.
    2. Marek Kwas & Alessia Paccagnini & Michal Rubaszek, 2020. "Common factors and the dynamics of cereal prices. A forecasting perspective," CAMA Working Papers 2020-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Kovacevic, Vlado & Subić, Jonel & Jankovic, Irena, 2020. "Development of soft commodity derivative market in function of the risk management in CEE," MPRA Paper 106303, University Library of Munich, Germany.

  2. Isengildina-Massa, Olga & Karali, Berna & Irwin, Scott H., 2016. "Market Reaction to Inefficiencies in USDA Crop Production Forecasts," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235507, Agricultural and Applied Economics Association.

    Cited by:

    1. Karali, Berna & Isengildina Massa, Olga & Irwin, Scott H., 2018. "Does Noise in Market Expectations Dilute Price Reactions to USDA Reports?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273973, Agricultural and Applied Economics Association.
    2. Fiechter, Chad & Kuethe, Todd & Zhang, Wendong, 2023. "Information Rigidities and Farmland Value Expectations," ISU General Staff Papers 202306131414240000, Iowa State University, Department of Economics.
    3. Adrian Fernandez‐Perez & Bart Frijns & Ivan Indriawan & Alireza Tourani‐Rad, 2019. "Surprise and dispersion: informational impact of USDA announcements," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 113-126, January.
    4. Jesse Tack & Keith H. Coble & Robert Johansson & Ardian Harri & Barry J. Barnett, 2019. "The Potential Implications of “Big Ag Data” for USDA Forecasts," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 668-683, December.

  3. Ye, Shiyu & Karali, Berna, 2016. "Estimating relative price impact: The case of Brent and WTI," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235728, Agricultural and Applied Economics Association.

    Cited by:

    1. Nicholas Apergis, 2023. "Forecasting energy prices: Quantile‐based risk models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 17-33, January.
    2. Jerome Geyer‐Klingeberg & Andreas W. Rathgeber, 2021. "Determinants of the WTI‐Brent price spread revisited," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 736-757, May.
    3. McKendree, Melissa G. S. & Saitone, Tina L. & Schaefer, K Aleks, 2020. "Cattle Cycle Dynamics in a Modern Agricultural Market: Competition in Holstein Cattle Procurement," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304380, Agricultural and Applied Economics Association.
    4. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    5. Melissa G.S. McKendree & Tina L. Saitone & K. Aleks Schaefer, 2021. "Oligopsonistic Input Substitution in a Thin Market," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1414-1432, August.
    6. Scheitrum, Daniel P. & Carter, Colin A. & Revoredo-Giha, Cesar, 2018. "WTI and Brent futures pricing structure," Energy Economics, Elsevier, vol. 72(C), pages 462-469.

  4. Karali, Berna & Isengildina-Massa, Olga & Irwin, Scott H. & Adjemian, Michael K., 2016. "Changes in Informational Value and the Market Reaction to USDA Reports in the Big Data Era," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235580, Agricultural and Applied Economics Association.

    Cited by:

    1. Prilly Oktoviany & Robert Knobloch & Ralf Korn, 2021. "A machine learning-based price state prediction model for agricultural commodities using external factors," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1063-1085, December.
    2. Karali, Berna & Isengildina Massa, Olga & Irwin, Scott H., 2018. "Does Noise in Market Expectations Dilute Price Reactions to USDA Reports?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273973, Agricultural and Applied Economics Association.
    3. Isengildina-Massa, Olga & Cao, Xiang & Karali, Berna & Irwin, Scott H. & Adjemian, Michael & Johansson, Robert C., 2021. "When does USDA information have the most impact on crop and livestock markets?," Journal of Commodity Markets, Elsevier, vol. 22(C).
    4. Arnade, Carlos & Hoffman, Linwood & Effland, Anne, 2021. "The Impact of Public Information on Commodity Market Performance: The Response of Corn Futures to USDA Corn Production Forecasts," Economic Research Report 327189, United States Department of Agriculture, Economic Research Service.
    5. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    6. An N. Q. Cao & Michel A. Robe, 2022. "Market uncertainty and sentiment around USDA announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(2), pages 250-275, February.
    7. Pierrick Piette, 2019. "Can Satellite Data Forecast Valuable Information from USDA Reports ? Evidences on Corn Yield Estimates," Working Papers hal-02149355, HAL.
    8. Ying, Jiahui & Shonkwiler, J. Scott, 2017. "A Temporal Impact Assessment Method for the Informational Content of USDA Reports in Corn and Soybean Futures Markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258201, Agricultural and Applied Economics Association.
    9. Joshua Huang & Teresa Serra & Philip Garcia, 2021. "The Value of USDA Announcements in the Electronically Traded Corn Futures Market: A Modified Sufficient Test with Risk Adjustments," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 712-734, September.
    10. Goyal, Raghav & Adjemian, Michael K., 2020. "The 2019 Government Shutdown Increased Uncertainty in Major Agricultural Commodity Markets," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304256, Agricultural and Applied Economics Association.
    11. Jesse Tack & Keith H. Coble & Robert Johansson & Ardian Harri & Barry J. Barnett, 2019. "The Potential Implications of “Big Ag Data” for USDA Forecasts," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 668-683, December.
    12. Adjemian, Michael K. & Irwin, Scott H., 2020. "The market response to government crop news under different release regimes," Journal of Commodity Markets, Elsevier, vol. 19(C).

  5. Wu, Xuedong & Dorfman, Jeffrey H. & Karali, Berna, 2015. "The Impact of Data Frequency On Stationarity Tests Of Commodity Futures Prices," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205569, Agricultural and Applied Economics Association.

    Cited by:

    1. Wu, Nan & Wen, Fenghua & Gong, Xu, 2022. "Marionettes behind co-movement of commodity prices: Roles of speculative and hedging activities," Energy Economics, Elsevier, vol. 115(C).
    2. Mohanty, Sunil K. & Mishra, Sibanjan, 2020. "Regulatory reform and market efficiency: The case of Indian agricultural commodity futures markets," Research in International Business and Finance, Elsevier, vol. 52(C).

  6. Ye, Shiyu & Karali, Berna, 2015. "The Informational Content of Inventory Announcements: Intraday Evidence from Crude Oil Futures Market," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205595, Agricultural and Applied Economics Association.

    Cited by:

    1. Wen, Zhuzhu & Gong, Xu & Ma, Diandian & Xu, Yahua, 2021. "Intraday momentum and return predictability: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 95(C), pages 374-384.
    2. Diaz-Rainey, Ivan & Roberts, Helen & Lont, David H., 2017. "Crude inventory accounting and speculation in the physical oil market," Energy Economics, Elsevier, vol. 66(C), pages 508-522.
    3. Rousse, O. & Sévi, B., 2016. "Informed trading in oil-futures market," Working Papers 2016-07, Grenoble Applied Economics Laboratory (GAEL).
    4. Plante, Michael & Dhaliwal, Navi, 2017. "Inventory shocks and the oil–ethanol–grain price nexus," Economics Letters, Elsevier, vol. 156(C), pages 58-60.
    5. Wang, Cheng & Bouri, Elie & Xu, Yahua & Zhang, Dingsheng, 2023. "Intraday and overnight tail risks and return predictability in the crude oil market: Evidence from oil-related regular news and extreme shocks," Energy Economics, Elsevier, vol. 127(PB).
    6. Wen, Danyan & Wang, Yudong & Zhang, Yaojie, 2021. "Intraday return predictability in China’s crude oil futures market: New evidence from a unique trading mechanism," Economic Modelling, Elsevier, vol. 96(C), pages 209-219.
    7. Li, Wenhui & Zhu, Qi & Wen, Fenghua & Nor, Normaziah Mohd, 2022. "The evolution of day-of-the-week and the implications in crude oil market," Energy Economics, Elsevier, vol. 106(C).
    8. Stanislav Anatolyev & Sergei Seleznev & Veronika Selezneva, 2021. "How does the financial market update beliefs about the real economy? Evidence from the oil market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 938-961, November.
    9. Ahmad, Wasim & Prakash, Ravi & Uddin, Gazi Salah & Chahal, Rishman Jot Kaur & Rahman, Md. Lutfur & Dutta, Anupam, 2020. "On the intraday dynamics of oil price and exchange rate: What can we learn from China and India?," Energy Economics, Elsevier, vol. 91(C).
    10. Lutz Kilian & Xiaoqing Zhou, 2020. "The Econometrics of Oil Market VAR Models," CESifo Working Paper Series 8153, CESifo.
    11. Do, Hung Xuan & Nguyen, Quan M.P. & Nepal, Rabindra & Smyth, Russell, 2021. "When Pep comes calling, the oil market answers: The effect of football player transfer movements on abnormal fluctuations in oil price futures," Energy Economics, Elsevier, vol. 100(C).
    12. Tian, Xiao & Duong, Huu Nhan & Kalev, Petko S., 2019. "Information content of the limit order book for crude oil futures price volatility," Energy Economics, Elsevier, vol. 81(C), pages 584-597.
    13. Zhao, Jing, 2022. "Exploring the influence of the main factors on the crude oil price volatility: An analysis based on GARCH-MIDAS model with Lasso approach," Resources Policy, Elsevier, vol. 79(C).
    14. Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju & Wu, Ting-Pin, 2021. "The impact of natural disaster on energy consumption: International evidence," Energy Economics, Elsevier, vol. 97(C).
    15. Sultan Alturki & Alexander Kurov, 2022. "Market inefficiencies surrounding energy announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(1), pages 172-188, January.
    16. Ayadi, Mohamed A. & Ben Omrane, Walid & Lazrak, Skander & Yan, Xusheng, 2020. "OPEC production decisions, macroeconomic news, and volatility in the Canadian currency and oil markets," Finance Research Letters, Elsevier, vol. 37(C).
    17. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    18. Zhao, Lu-Tao & Zheng, Zhi-Yi & Wei, Yi-Ming, 2023. "Forecasting oil inventory changes with Google trends: A hybrid wavelet decomposer and ARDL-SVR ensemble model," Energy Economics, Elsevier, vol. 120(C).

  7. 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.

    Cited by:

    1. Ma, Richie Ruchuan & Xiong, Tao & Bao, Yukun, 2021. "The Russia-Saudi Arabia oil price war during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 102(C).
    2. Chen, Shengming & Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "The Russia–Ukraine war and energy market volatility: A novel application of the volatility ratio in the context of natural gas," Resources Policy, Elsevier, vol. 85(PA).
    3. 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.

  8. Ferreira, Susana & Karali, Berna, 2014. "An Assessment of the Impact of Earthquakes on Global Capital Markets," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169433, Agricultural and Applied Economics Association.

    Cited by:

    1. Kei Nakagawa & Kohei Hayashi & Yugo Fujimoto, 2024. "CFTM: Continuous time fractional topic model," Papers 2402.01734, arXiv.org, revised Feb 2024.
    2. Di Tommaso, Caterina & Foglia, Matteo & Pacelli, Vincenzo, 2023. "The impact and the contagion effect of natural disasters on sovereign credit risk. An empirical investigation," International Review of Financial Analysis, Elsevier, vol. 87(C).
    3. Valizadeh, Pourya & Karali, Berna & Ferreira, Susana, 2017. "Ripple effects of the 2011 Japan earthquake on international stock markets," Research in International Business and Finance, Elsevier, vol. 41(C), pages 556-576.
    4. Di Tommaso, Caterina & Mazzuca, Maria, 2023. "The stock price of European insurance companies: What is the role of ESG factors?," Finance Research Letters, Elsevier, vol. 56(C).
    5. Md. Noman Siddikee & Mohammad Mafizur Rahman, 2017. "Effect of catastrophic disaster in financial market contagion," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1288772-128, January.
    6. Arias-Calluari, Karina & Najafi, Morteza. N. & Harré, Michael S. & Tang, Yaoyue & Alonso-Marroquin, Fernando, 2022. "Testing stationarity of the detrended price return in stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    7. Kuzu, Erkan & Süsay, Aynur & Tanrıöven, Cihan, 2022. "A model study for calculation of the temperatures of major stock markets in the world with the quantum simulation and determination of the crisis periods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    8. Zhang, Jing Hua & Tam, Kwo Ping & Zhou, Nan, 2016. "Do smoking bans always hurt the gaming industry? Differentiated impacts on the market value of casino firms in Macao (China)," Economics Discussion Papers 2016-21, Kiel Institute for the World Economy (IfW Kiel).
    9. G.K., Chetan Kumar & K.B., Rangappa & S., Suchitra, 2022. "Normative analysis of the impact of Covid-19 on prominent sectors of Indian economy by using ARCH Model," MPRA Paper 114027, University Library of Munich, Germany.
    10. William N. Goetzmann & Dasol Kim & Robert J. Shiller, 2016. "Crash Beliefs From Investor Surveys," NBER Working Papers 22143, National Bureau of Economic Research, Inc.
    11. Kling, Gerhard & Volz, Ulrich & Murinde, Victor & Ayas, Sibel, 2021. "The impact of climate vulnerability on firms’ cost of capital and access to finance," World Development, Elsevier, vol. 137(C).
    12. Sunkung Choi, 2023. "Measuring economic diplomacy using event study method: the case of EU-China summit talks and Airbus stock price changes," Asia Europe Journal, Springer, vol. 21(2), pages 155-171, June.
    13. C. Justin Robinson & Prosper Bangwayo-Skeete, 2017. "Semi-strong Form Market Efficiency in Stock Markets with Low Levels of Trading Activity: Evidence from Stock Price Reaction to Major National and International Events," Global Business Review, International Management Institute, vol. 18(6), pages 1447-1464, December.
    14. Matthijs Jan Kallen & Bert Scholtens, 2021. "Movers and Shakers: Stock Market Response to Induced Seismicity in Oil and Gas Business," Energies, MDPI, vol. 14(23), pages 1-12, December.
    15. Pagnottoni, Paolo & Spelta, Alessandro & Flori, Andrea & Pammolli, Fabio, 2022. "Climate change and financial stability: Natural disaster impacts on global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).

  9. Xian, Hui & Colson, Gregory J. & Karali, Berna & Wetzstein, Michael, 2014. "Conversion of Shipping Fleets from Diesel to Compressed Natural Gas: A Real Options Analysis," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170285, Agricultural and Applied Economics Association.

    Cited by:

    1. Girma T. Chala & Abd Rashid Abd Aziz & Ftwi Y. Hagos, 2018. "Natural Gas Engine Technologies: Challenges and Energy Sustainability Issue," Energies, MDPI, vol. 11(11), pages 1-44, October.
    2. Rodrigo Galbieri & Thiago Luis Felipe Brito & Dominique Mouette & Hirdan Katarina Medeiros Costa & Edmilson Moutinho dos Santos & Murilo Tadeu Werneck Fagá, 2018. "Bus fleet emissions: new strategies for mitigation by adopting natural gas," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(7), pages 1039-1062, October.
    3. Markéta Mikolajková-Alifov & Frank Pettersson & Margareta Björklund-Sänkiaho & Henrik Saxén, 2019. "A Model of Optimal Gas Supply to a Set of Distributed Consumers," Energies, MDPI, vol. 12(3), pages 1-27, January.
    4. Josifovic, Aleksandar & Roberts, Jennifer J. & Corney, Jonathan & Davies, Bruce & Shipton, Zoe K., 2016. "Reducing the environmental impact of hydraulic fracturing through design optimisation of positive displacement pumps," Energy, Elsevier, vol. 115(P1), pages 1216-1233.
    5. Chen, Siyuan & Zhang, Qi & Wang, Ge & Zhu, Lijing & Li, Yan, 2018. "Investment strategy for underground gas storage facilities based on real option model considering gas market reform in China," Energy Economics, Elsevier, vol. 70(C), pages 132-142.

  10. Hao, Na & Colson, Gregory & Karali, Berna & Wetzstein, Michael E., 2013. "Food before Biodiesel Fuel?," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143078, Southern Agricultural Economics Association.

    Cited by:

    1. David E. Allen & Chialin Chang & Michael McAleer & Abhay K Singh, 2018. "A cointegration analysis of agricultural, energy and bio-fuel spot, and futures prices," Applied Economics, Taylor & Francis Journals, vol. 50(7), pages 804-823, February.
    2. Curtis McKnight & Feng Qiu & Marty Luckert & Grant Hauer, 2021. "Prices for a second‐generation biofuel industry in Canada: Market linkages between Canadian wheat and US energy and agricultural commodities," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(3), pages 337-351, September.
    3. Mohcine Bakhat & Klaas WŸrzburg, 2013. "Price Relationships of Crude Oil and Food Commodities," Working Papers fa06-2013, Economics for Energy.

  11. Hao, Na & Seong, Byeongchan & Park, Cheolwoo & Colson, Gregory & Karali, Berna & Wetzstein, Michael, 2013. "Drought, Biofuel, and Livestock," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149957, Agricultural and Applied Economics Association.

    Cited by:

    1. Illukpitiya, Prabodh & Reddy, K.C. & Bansal, Ankit, 2017. "Modeling net energy balance of ethanol production from native warm season grasses," Energy Economics, Elsevier, vol. 64(C), pages 346-352.
    2. Héctor L. Venegas-Quiñones & Mark Thomasson & Pablo A. Garcia-Chevesich, 2020. "Water Scarcity Or Drought? The Cause And Solution For The Lack Of Water In Laguna De Aculeo," Water Conservation & Management (WCM), Zibeline International Publishing, vol. 4(1), pages 42-50:4, March.
    3. Chiu, Fan-Ping & Hsu, Chia-Sheng & Ho, Alan & Chen, Chi-Chung, 2016. "Modeling the price relationships between crude oil, energy crops and biofuels," Energy, Elsevier, vol. 109(C), pages 845-857.

  12. Isengildina-Massa, Olga & Karali, Berna & Irwin, Scott H., 2012. "When do the USDA forecasters make mistakes?," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124759, Agricultural and Applied Economics Association.

    Cited by:

    1. MacDonald, Stephen & Ash, Mark & Cooke, Bryce, 2017. "The Evolution of Inefficiency in USDA’s Forecasts of U.S. and World Soybean Markets," MPRA Paper 87545, University Library of Munich, Germany.
    2. Zhang, Tianyang & Li, Ziran, 2018. "How Well Do Rational Expectations Storage Model Forecast Crop Ending Stocks?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273803, Agricultural and Applied Economics Association.
    3. Li, Ziran & Li, Ding & Zhang, Tengfei & Zhang, Tianyang, 2022. "Climate impact on the USDA ending stocks forecast errors," Finance Research Letters, Elsevier, vol. 48(C).
    4. Bahram Sanginabadi, 2018. "USDA Forecasts: A meta-analysis study," Papers 1801.06575, arXiv.org.
    5. Tianyang Zhang & Ziran Li, 2022. "Can a rational expectation storage model explain the USDA ending grain stocks forecast errors?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 313-337, March.

  13. Singh, Aaron & Karali, Berna & Ramirez, Octavio A., 2011. "High Price Volatility And Spillover Effects In Energy Markets," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103593, Agricultural and Applied Economics Association.

    Cited by:

    1. Christian Urom & Gideon Ndubuisi & Jude Ozor, 2021. "Economic activity, and financial and commodity markets’ shocks: An analysis of implied volatility indexes," International Economics, CEPII research center, issue 165, pages 51-66.
    2. Scarcioffolo, Alexandre R. & Etienne, Xiaoli L., 2021. "Regime-switching energy price volatility: The role of economic policy uncertainty," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 336-356.
    3. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Davide, Marinella & Vesco, Paola, 2016. "Alternative Approaches for Rating INDCs: a Comparative Analysis," MITP: Mitigation, Innovation and Transformation Pathways 232716, Fondazione Eni Enrico Mattei (FEEM).
    5. Misund, Bård & Oglend, Atle, 2015. "Supply and Demand Determinants of Natural Gas Price Volatility in the U.K.: A Vector Autoregression Approach," UiS Working Papers in Economics and Finance 2015/10, University of Stavanger.
    6. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2020. "Dynamic frequency connectedness between oil and natural gas volatilities," Economic Modelling, Elsevier, vol. 84(C), pages 181-189.
    7. Green, Rikard & Larsson, Karl & Lunina, Veronika & Nilsson, Birger, 2018. "Cross-commodity news transmission and volatility spillovers in the German energy markets," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 231-243.
    8. Mehdi Mili & Jean‐Michel Sahut & Frédéric Teulon, 2020. "Shift‐contagion in energy markets and global crisis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 725-736, August.
    9. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).
    10. Vincenzo Candila & Salvatore Farace, 2018. "On the Volatility Spillover between Agricultural Commodities and Latin American Stock Markets," Risks, MDPI, vol. 6(4), pages 1-16, October.
    11. 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.
    12. Asadi, Mehrad & Roudari, Soheil & Tiwari, Aviral Kumar & Roubaud, David, 2023. "Scrutinizing commodity markets by quantile spillovers: A case study of the Australian economy," Energy Economics, Elsevier, vol. 118(C).
    13. Nguyen, Dat Thanh & Phan, Dinh Hoang Bach & Ming, Tee Chwee & Nguyen, Van Ky Long, 2021. "An assessment of how COVID-19 changed the global equity market," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 480-491.
    14. Algirdas Justinas Staugaitis & Bernardas Vaznonis, 2022. "Financial Speculation Impact on Agricultural and Other Commodity Return Volatility: Implications for Sustainable Development and Food Security," Agriculture, MDPI, vol. 12(11), pages 1-27, November.
    15. 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.
    16. Ye, Wuyi & Guo, Ranran & Deschamps, Bruno & Jiang, Ying & Liu, Xiaoquan, 2021. "Macroeconomic forecasts and commodity futures volatility," Economic Modelling, Elsevier, vol. 94(C), pages 981-994.
    17. Ye, Shiyu & Karali, Berna, 2015. "The Informational Content of Inventory Announcements: Intraday Evidence from Crude Oil Futures Market," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205595, Agricultural and Applied Economics Association.
    18. Le, Thai-Ha & Boubaker, Sabri & Bui, Manh Tien & Park, Donghyun, 2023. "On the volatility of WTI crude oil prices: A time-varying approach with stochastic volatility," Energy Economics, Elsevier, vol. 117(C).
    19. An, Sufang & Gao, Xiangyun & An, Haizhong & Liu, Siyao & Sun, Qingru & Jia, Nanfei, 2020. "Dynamic volatility spillovers among bulk mineral commodities: A network method," Resources Policy, Elsevier, vol. 66(C).
    20. Vladimir Balash & Alexey Faizliev & Sergei Sidorov & Elena Chistopolskaya, 2021. "Conditional Time-Varying General Dynamic Factor Models and Its Application to the Measurement of Volatility Spillovers across Russian Assets," Mathematics, MDPI, vol. 9(19), pages 1-31, October.
    21. Yang, Yao & Karali, Berna, 2022. "How far is too far for volatility transmission?," Journal of Commodity Markets, Elsevier, vol. 26(C).
    22. 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.
    23. Andriosopoulos, Kostas & Galariotis, Emilios & Spyrou, Spyros, 2017. "Contagion, volatility persistence and volatility spill-overs: The case of energy markets during the European financial crisis," Energy Economics, Elsevier, vol. 66(C), pages 217-227.
    24. Kuruppuarachchi, Duminda & Premachandra, I.M., 2016. "Information spillover dynamics of the energy futures market sector: A novel common factor approach," Energy Economics, Elsevier, vol. 57(C), pages 277-294.
    25. Feng, Huiqun & Zhang, Jun & Guo, Na, 2023. "Time-varying linkages between energy and stock markets: Dynamic spillovers and driving factors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    26. 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.
    27. Díaz, Juan D. & Hansen, Erwin & Cabrera, Gabriel, 2021. "Economic drivers of commodity volatility: The case of copper," Resources Policy, Elsevier, vol. 73(C).
    28. Afees A. Salisu & Raymond Swaray, 2020. "Forecasting the Return Volatility of Energy Prices: A GARCH-MIDAS Approach," World Scientific Book Chapters, in: Stéphane Goutte & Duc Khuong Nguyen (ed.), HANDBOOK OF ENERGY FINANCE Theories, Practices and Simulations, chapter 3, pages 47-71, World Scientific Publishing Co. Pte. Ltd..
    29. Hao Chen & Hua Liao & Bao-Jun Tang & Yi-Ming Wei, 2016. "Impacts of OPEC's political risk on the international crude oil prices: An empirical analysis based on the SVAR models," CEEP-BIT Working Papers 96, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    30. James Ming Chen & Mobeen Ur Rehman, 2021. "A Pattern New in Every Moment: The Temporal Clustering of Markets for Crude Oil, Refined Fuels, and Other Commodities," Energies, MDPI, vol. 14(19), pages 1-58, September.
    31. Chen, Yufeng & Qu, Fang, 2019. "Leverage effect and dynamics correlation between international crude oil and China’s precious metals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    32. Ji, Qiang & Geng, Jiang-Bo & Tiwari, Aviral Kumar, 2018. "Information spillovers and connectedness networks in the oil and gas markets," Energy Economics, Elsevier, vol. 75(C), pages 71-84.
    33. Jia Liao & Yu Shi & Xiangyun Xu, 2018. "Why Is the Correlation between Crude Oil Prices and the US Dollar Exchange Rate Time-Varying?—Explanations Based on the Role of Key Mediators," IJFS, MDPI, vol. 6(3), pages 1-13, June.
    34. Liu, Xueyong & An, Haizhong & Huang, Shupei & Wen, Shaobo, 2017. "The evolution of spillover effects between oil and stock markets across multi-scales using a wavelet-based GARCH–BEKK model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 374-383.
    35. Gong, Xu & Liu, Yun & Wang, Xiong, 2021. "Dynamic volatility spillovers across oil and natural gas futures markets based on a time-varying spillover method," International Review of Financial Analysis, Elsevier, vol. 76(C).
    36. Urom, Christian & Ndubuisi, Gideon & Ozor, Jude, 2021. "Economic activity, and financial and commodity markets’ shocks: An analysis of implied volatility indexes," International Economics, Elsevier, vol. 165(C), pages 51-66.
    37. Xiao, Jihong & Wang, Yudong, 2022. "Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression," Energy, Elsevier, vol. 241(C).
    38. McKenzie, Andrew M. & Ke, Yangmin, 2022. "How do USDA announcements affect international commodity prices?," Journal of Commodity Markets, Elsevier, vol. 28(C).
    39. Scarcioffolo, Alexandre R. & Etienne, Xiaoli, 2021. "Testing directional predictability between energy prices: A quantile-based analysis," Resources Policy, Elsevier, vol. 74(C).
    40. Niaz Bashiri Behmiri & Matteo Manera & Marcella Nicolini, 2016. "Understanding Dynamic Conditional Correlations between Commodities Futures Markets," Working Papers 2016.17, Fondazione Eni Enrico Mattei.
    41. Abdullah, Mohammad & Abakah, Emmanuel Joel Aikins & Wali Ullah, G M & Tiwari, Aviral Kumar & Khan, Isma, 2023. "Tail risk contagion across electricity markets in crisis periods," Energy Economics, Elsevier, vol. 127(PB).
    42. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Dynamic frequency relationships and volatility spillovers in natural gas, crude oil, gas oil, gasoline, and heating oil markets: Implications for portfolio management," Resources Policy, Elsevier, vol. 73(C).
    43. Chien‐Chiang Lee & Chi‐Chuan Lee & Donald Lien, 2019. "Do country risk and financial uncertainty matter for energy commodity futures?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(3), pages 366-383, March.
    44. Ziyao Wang & Yufei Xia & Yating Fu & Ying Liu, 2023. "Volatility Spillover Dynamics and Determinants between FinTech and Traditional Financial Industry: Evidence from China," Mathematics, MDPI, vol. 11(19), pages 1-23, September.
    45. Asadi, Mehrad & Roubaud, David & Tiwari, Aviral Kumar, 2022. "Volatility spillovers amid crude oil, natural gas, coal, stock, and currency markets in the US and China based on time and frequency domain connectedness," Energy Economics, Elsevier, vol. 109(C).
    46. Yanting Chen & Peter R. Hartley & Yihui Lan, 2023. "Temperature, storage, and natural gas futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 549-575, April.
    47. Zhang, Jiahao & Chen, Xiaodan & Wei, Yu & Bai, Lan, 2023. "Does the connectedness among fossil energy returns matter for renewable energy stock returns? Fresh insights from the Cross-Quantilogram analysis," International Review of Financial Analysis, Elsevier, vol. 88(C).
    48. 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.
    49. Ouyang, Ruolan & Zhuang, Chengkai & Wang, Tingting & Zhang, Xuan, 2022. "Network analysis of risk transmission among energy futures: An industrial chain perspective," Energy Economics, Elsevier, vol. 107(C).
    50. Huang, Yisu & Xu, Weiju & Huang, Dengshi & Zhao, Chenchen, 2023. "Chinese crude oil futures volatility and sustainability: An uncertainty indices perspective," Resources Policy, Elsevier, vol. 80(C).
    51. Zhang, Weiping & Zhuang, Xintian & Wu, Dongmei, 2020. "Spatial connectedness of volatility spillovers in G20 stock markets: Based on block models analysis," Finance Research Letters, Elsevier, vol. 34(C).
    52. Tian, Xiao & Duong, Huu Nhan & Kalev, Petko S., 2019. "Information content of the limit order book for crude oil futures price volatility," Energy Economics, Elsevier, vol. 81(C), pages 584-597.
    53. Ribeiro Scarcioffolo, Alexandre & Etienne, Xiaoli L., 2018. "Does Economic Policy Uncertainty Affect Energy Market Volatility and Vice-Versa?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273976, Agricultural and Applied Economics Association.
    54. An, Pengli & Li, Huajiao & Zhou, Jinsheng & Li, Yang & Sun, Bowen & Guo, Sui & Qi, Yajie, 2020. "Volatility spillover of energy stocks in different periods and clusters based on structural break recognition and network method," Energy, Elsevier, vol. 191(C).
    55. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2017. "The relationship between regional natural gas markets and crude oil markets from a multi-scale nonlinear Granger causality perspective," Energy Economics, Elsevier, vol. 67(C), pages 98-110.
    56. Ergen, Ibrahim & Rizvanoghlu, Islam, 2016. "Asymmetric impacts of fundamentals on the natural gas futures volatility: An augmented GARCH approach," Energy Economics, Elsevier, vol. 56(C), pages 64-74.
    57. Roy, Archi & Soni, Anchal & Deb, Soudeep, 2023. "A wavelet-based methodology to compare the impact of pandemic versus Russia–Ukraine conflict on crude oil sector and its interconnectedness with other energy and non-energy markets," Energy Economics, Elsevier, vol. 124(C).
    58. Umberto Desideri & Alaa Krayem & Eva Thorin, 2023. "The Unprecedented Natural Gas Crisis in Europe: Investigating the Causes and Consequences with a Focus on Italy," Energies, MDPI, vol. 16(16), pages 1-21, August.
    59. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2022. "Long-memory and volatility spillovers across petroleum futures," Energy, Elsevier, vol. 243(C).
    60. Zhu, Mingxue & Zhang, Hua & Xing, Wanli & Zhou, Xuanru & Wang, Lu & Sun, Haoyu, 2023. "Research on price transmission in Chinese mining stock market: Based on industry," Resources Policy, Elsevier, vol. 83(C).
    61. Yaya, OlaOluwa S. & Tumala, Mohammed M. & Udomboso, Christopher G., 2016. "Volatility persistence and returns spillovers between oil and gold prices: Analysis before and after the global financial crisis," Resources Policy, Elsevier, vol. 49(C), pages 273-281.
    62. Octavian Jude & Avraham Turgeman & Claudiu Boțoc & Laura Raisa Miloș, 2023. "Volatility and Spillover Effects between Central–Eastern European Stock Markets and Energy Markets: An Emphasis on Crisis Periods," Energies, MDPI, vol. 16(17), pages 1-12, August.
    63. Liu, Xueyong & An, Haizhong & Li, Huajiao & Chen, Zhihua & Feng, Sida & Wen, Shaobo, 2017. "Features of spillover networks in international financial markets: Evidence from the G20 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 265-278.
    64. Chiou-Wei, Song-Zan & Chen, Sheng-Hung & Zhu, Zhen, 2020. "Natural gas price, market fundamentals and hedging effectiveness," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 321-337.
    65. Bigerna, Simona & D'Errico, Maria Chiara & Polinori, Paolo & Simshauer, Paul, 2022. "Renewable energy and portfolio volatility spillover effects of GCC oil exporting countries," MPRA Paper 114164, University Library of Munich, Germany.
    66. Liu, Tangyong & Gong, Xu, 2020. "Analyzing time-varying volatility spillovers between the crude oil markets using a new method," Energy Economics, Elsevier, vol. 87(C).
    67. Hoque, Mohammad Enamul & Soo-Wah, Low & Billah, Mabruk, 2023. "Time-frequency connectedness and spillover among carbon, climate, and energy futures: Determinants and portfolio risk management implications," Energy Economics, Elsevier, vol. 127(PB).
    68. Fasanya, Ismail & Adekoya, Oluwasegun & Oyewole, Oluwatomisin & Adegboyega, Soliu, 2022. "Investor sentiment and energy futures predictability: Evidence from Feasible Quasi Generalized Least Squares," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    69. Pham, Son Duy & Nguyen, Thao Thac Thanh & Do, Hung Xuan, 2023. "Natural gas and the utility sector nexus in the U.S.: Quantile connectedness and portfolio implications," Energy Economics, Elsevier, vol. 120(C).
    70. Asadi, Mehrad & Pham, Son D. & Nguyen, Thao T.T. & Do, Hung Xuan & Brooks, Robert, 2023. "The nexus between oil and airline stock returns: Does time frequency matter?," Energy Economics, Elsevier, vol. 117(C).
    71. Newaz, Mohammad Khaleq & Park, Jin Suk, 2019. "The impact of trade intensity and Market characteristics on asymmetric volatility, spillovers and asymmetric spillovers: Evidence from the response of international stock markets to US shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 79-94.
    72. Feng, Sida & Huang, Shupei & Qi, Yabin & Liu, Xueyong & Sun, Qingru & Wen, Shaobo, 2018. "Network features of sector indexes spillover effects in China: A multi-scale view," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 461-473.
    73. Barbaglia, Luca & Croux, Christophe & Wilms, Ines, 2020. "Volatility spillovers in commodity markets: A large t-vector autoregressive approach," Energy Economics, Elsevier, vol. 85(C).
    74. Ashley Ding, 2019. "Information and volatility linkages across energy and financial markets," Australian Journal of Management, Australian School of Business, vol. 44(4), pages 594-613, November.
    75. Chevallier, Julien & Ielpo, Florian, 2017. "Investigating the leverage effect in commodity markets with a recursive estimation approach," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 763-778.
    76. Li, Zepei & Huang, Haizhen, 2023. "Challenges for volatility forecasts of US fossil energy spot markets during the COVID-19 crisis," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 31-45.

  14. Karali, Berna & Dorfman, Jeffrey H. & Thurman, Walter N., 2009. "Does Futures Price Volatility Differ Across Delivery Horizon?," 2009 Conference, April 20-21, 2009, St. Louis, Missouri 53036, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

    Cited by:

    1. Woradee Jongadsayakul, 2015. "Determinants Of Silver Futures Price Volatility: Evidence From The Thailand Futures Exchange," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 9(4), pages 81-87.
    2. Ergen, Ibrahim & Rizvanoghlu, Islam, 2016. "Asymmetric impacts of fundamentals on the natural gas futures volatility: An augmented GARCH approach," Energy Economics, Elsevier, vol. 56(C), pages 64-74.

  15. 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).

  16. Karali, Berna & Thurman, Walter N., 2008. "Volatility Persistence in Commodity Futures:Inventory and Time-to-Delivery Effects," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37612, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

    Cited by:

    1. Power, Gabriel J. & Turvey, Calum G., 2008. "On Term Structure Models of Commodity Futures Prices and the Kaldor-Working Hypothesis," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37608, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

  17. Karali, Berna & Dorfman, Jeffrey H. & Thurman, Walter N., 2008. "Do Inventory and Time-to-Delivery Effects Vary Across Futures Contracts? Insights from a Smoothed Bayesian Estimator," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6084, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Cited by:

    1. Karali, Berna & Dorfman, Jeffrey H. & Thurman, Walter N., 2009. "Does Futures Price Volatility Differ Across Delivery Horizon?," 2009 Conference, April 20-21, 2009, St. Louis, Missouri 53036, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    2. Ergen, Ibrahim & Rizvanoghlu, Islam, 2016. "Asymmetric impacts of fundamentals on the natural gas futures volatility: An augmented GARCH approach," Energy Economics, Elsevier, vol. 56(C), pages 64-74.
    3. Xu, Kewei & Xiong, Xiong & Li, Xiao, 2021. "The maturity effect of stock index futures: Speculation or carry arbitrage?," Research in International Business and Finance, Elsevier, vol. 58(C).

  18. Dorfman, Jeffrey H. & Karali, Berna, 2008. "Do Farmers Hedge Optimally or by Habit? A Bayesian Partial-Adjustment Model of Farmer Hedging," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37596, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

    Cited by:

    1. Bedek, Željka & Njavro, Mario, 2016. "Risks and Competitiveness in Agriculture with Emphasis on Wine Sector in Croatia," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 10(1), pages 1-8, March.
    2. Carrer, Marcelo José & Silveira, Rodrigo Lanna F. & Meirelles De Souza Filho, Hildo, 2017. "Citrus Producers' Choice of Price Risk Management Tools," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258352, Agricultural and Applied Economics Association.

  19. Karali, Berna & Thurman, Walter N., 2007. "Announcement Effects and the Theory of Storage: An Empirical Study of Lumber Futures," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9865, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Cited by:

    1. Christophe Gouel, 2020. "The Value of Public Information in Storable Commodity Markets: Application to the Soybean Market," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 846-865, May.
    2. Liu, Peng & Lu, Xiaomeng & Tang, Ke, 2012. "The determinants of homebuilder stock price exposure to lumber: Production cost versus housing demand," Journal of Housing Economics, Elsevier, vol. 21(3), pages 211-222.
    3. Farhangdoost, Sara & Etienne, Xiaoli L., 2020. "Time-Varying Storage Announcement Effect in Natural Gas Market," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304476, Agricultural and Applied Economics Association.
    4. Karali, Berna & Thurman, Walter N., 2008. "Volatility Persistence in Commodity Futures:Inventory and Time-to-Delivery Effects," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37612, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    5. Berna Karali & Jeffrey H. Dorfman & Walter N. Thurman, 2010. "Do volatility determinants vary across futures contracts? Insights from a smoothed Bayesian estimator," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(3), pages 257-277, March.
    6. Karali, Berna & Power, Gabriel J., 2010. "Is commodity price volatility persistent? Another look using improved, full-sample estimates," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61826, Agricultural and Applied Economics Association.
    7. Hayes Dermot & Jacobs Keri & Schulz Lee & Crespi John, 2023. "Resilience of U.S. Cattle and Beef Sectors: Lessons from COVID-19," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 21(1), pages 53-67, May.
    8. Karali, Berna & Dorfman, Jeffrey H. & Thurman, Walter N., 2009. "Does Futures Price Volatility Differ Across Delivery Horizon?," 2009 Conference, April 20-21, 2009, St. Louis, Missouri 53036, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    9. Bozic, Marin & Newton, John & Thraen, Cameron S. & Gould, Brian W., 2014. "Parametric Bootstrap Tests for Futures Price and Implied Volatility Biases With Application to Rating Dairy Margin Insurance," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170416, Agricultural and Applied Economics Association.
    10. 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.
    11. Olga Isengildina-Massa & Berna Karali & Scott H. Irwin, 2013. "When do the USDA forecasters make mistakes?," Applied Economics, Taylor & Francis Journals, vol. 45(36), pages 5086-5103, December.
    12. Clements, Sherwood & Tidwell, Alan & Jin, Changha, 2017. "Futures markets and real estate public equity: Connectivity of lumber futures and Timber REITs," Journal of Forest Economics, Elsevier, vol. 28(C), pages 70-79.

Articles

  1. Goswami, Alankrita & Karali, Berna, 2022. "The Impact of Fundamentals on Volatility Measures of Agricultural Substitutes," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 54(4), pages 723-768, November.

    Cited by:

    1. Hayhurst, Emma & Brorsen, B. Wade, 2023. "Resilience of Grain Storage Markets to Upheaval in Futures Markets," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 4(2), April.

  2. Goswami, Alankrita & Adjemian, Michael K. & Karali, Berna, 2022. "The impact of futures contract storage rate policy on convergence expectations in domestic commodity markets," Food Policy, Elsevier, vol. 111(C).

    Cited by:

    1. Hayhurst, Emma & Brorsen, B. Wade, 2023. "Resilience of Grain Storage Markets to Upheaval in Futures Markets," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 4(2), April.

  3. Olga Isengildina‐Massa & Berna Karali & Todd H. Kuethe & Ani L. Katchova, 2021. "Joint Evaluation of the System of USDA's Farm Income Forecasts," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(3), pages 1140-1160, September.

    Cited by:

    1. Giri, Anil K & Litkowski, Carrie & Subedi, Dipak & McDonald, Tia, 2022. "COVID-19 Working Paper: Farm Sector Financial Ratios: Pre-COVID Forecasts and Pandemic Performance for 2020," Administrative Publications 327332, United States Department of Agriculture, Economic Research Service.
    2. Giri, Anil K. & Litkowski, Carrie & Subedi, Dipak & McDonald, Tia, 2022. "COVID-19 Working Paper: Farm Sector Financial Ratios: Pre-COVID Forecasts and Pandemic Performance for 2020," USDA Miscellaneous 327371, United States Department of Agriculture.

  4. Isengildina-Massa, Olga & Cao, Xiang & Karali, Berna & Irwin, Scott H. & Adjemian, Michael & Johansson, Robert C., 2021. "When does USDA information have the most impact on crop and livestock markets?," Journal of Commodity Markets, Elsevier, vol. 22(C).

    Cited by:

    1. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    2. Raghav Goyal & Michael K. Adjemian, 2023. "Information rigidities in USDA crop production forecasts," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(5), pages 1405-1425, October.
    3. An N. Q. Cao & Michel A. Robe, 2022. "Market uncertainty and sentiment around USDA announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(2), pages 250-275, February.
    4. Fan, Zaifeng & Jump, Jeff & Tse, Yiuman & Yu, Linda, 2023. "Volatility in US dairy futures markets," Journal of Commodity Markets, Elsevier, vol. 29(C).

  5. Berna Karali & Scott H. Irwin & Olga Isengildina‐Massa, 2020. "Supply Fundamentals and Grain Futures Price Movements," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 548-568, March.
    See citations under working paper version above.
  6. Isengildina-Massa, Olga & Karali, Berna & Irwin, Scott H., 2020. "Can Private Forecasters Beat the USDA? Analysis of Relative Accuracy of Crop Acreage and Production Forecasts," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 52(4), pages 545-561, November.

    Cited by:

    1. Goyal, Raghav & Adjemian, Michael K., 2020. "The 2019 Government Shutdown Increased Uncertainty in Major Agricultural Commodity Markets," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304256, Agricultural and Applied Economics Association.
    2. Etienne, Xiaoli L. & Farhangdoost, Sara & Hoffman, Linwood A. & Adam, Brian D., 2023. "Forecasting the U.S. season-average farm price of corn: Derivation of an alternative futures-based forecasting model," Journal of Commodity Markets, Elsevier, vol. 30(C).

  7. Berna Karali & Shiyu Ye & Octavio A Ramirez, 2019. "Event Study of the Crude Oil Futures Market: A Mixed Event Response Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(3), pages 960-985.
    See citations under working paper version above.
  8. Payne, Nicholas D. & Karali, Berna & Dorfman, Jeffrey H., 2019. "Can Cattle Basis Forecasts Be Improved? A Bayesian Model Averaging Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 51(2), pages 249-266, May.

    Cited by:

    1. Augusto Hauber Gameiro, 2022. "Factors Defining Prices of Finished Cattle in Mato Grosso Contrasted Within Brazil’s Pricing Structure," Journal of Agricultural Studies, Macrothink Institute, vol. 10(4), pages 218-235, December.

  9. Karali, Berna & Isengildina-Massa, Olga & Irwin, Scott H., 2019. "The Changing Role of USDA Inventory Reports in Livestock Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 44(3), September.

    Cited by:

    1. Karali, Berna & Isengildina Massa, Olga & Irwin, Scott H., 2018. "Does Noise in Market Expectations Dilute Price Reactions to USDA Reports?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273973, Agricultural and Applied Economics Association.
    2. Isengildina-Massa, Olga & Cao, Xiang & Karali, Berna & Irwin, Scott H. & Adjemian, Michael & Johansson, Robert C., 2021. "When does USDA information have the most impact on crop and livestock markets?," Journal of Commodity Markets, Elsevier, vol. 22(C).
    3. 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.
    4. Koliadenko, Svitlana & Andreichenko, Andrii & Galperina, Liubov & Minenko, Sofiia & Kovylina, Maria, 2020. "Analysis and forecasting of Ukrainian agrarian exports to the EU countries," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 6(3), September.

  10. Karali, Berna & Isengildina-Massa, Olga & Irwin, Scott H. & Adjemian, Michael K. & Johansson, Robert, 2019. "Are USDA reports still news to changing crop markets?," Food Policy, Elsevier, vol. 84(C), pages 66-76.
    See citations under working paper version above.
  11. Karali, Berna & McNew, Kevin & Thurman, Walter N., 2018. "Price Discovery and the Basis Effects of Failures to Converge in Soft RedWinter Wheat Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.

    Cited by:

    1. Jasdeep S. Banga & B. Wade Brorsen, 2019. "Profitability of alternative methods of combining the signals from technical trading systems," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(1), pages 32-45, January.
    2. Minnix, Luke A. & Yeager, Elizabeth A., 2019. "Kansas Wheat Basis Expectations During Periods of Nonconvergence," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2019.
    3. Anton Bekkerman & Mykel Taylor, 2020. "The Role of Spatial Density and Technological Investment on Optimal Pricing Strategies in the Grain Handling Industry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(1), pages 27-58, August.
    4. Xiaojie Xu, 2019. "Price dynamics in corn cash and futures markets: cointegration, causality, and forecasting through a rolling window approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 155-181, June.
    5. Zhige Wu & Alex Maynard & Alfons Weersink & Getu Hailu, 2018. "Asymmetric spot‐futures price adjustments in grain markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(12), pages 1549-1564, December.
    6. Hayhurst, Emma & Brorsen, B. Wade, 2023. "Resilience of Grain Storage Markets to Upheaval in Futures Markets," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 4(2), April.

  12. Xuedong Wu & Jeffrey H. Dorfman & Berna Karali, 2018. "The impact of data frequency on market efficiency tests of commodity futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 696-714, June.
    See citations under working paper version above.
  13. Olga Isengildina-Massa & Berna Karali & Scott H Irwin, 2017. "Do Markets Correct for Smoothing in USDA Crop Production Forecasts? Evidence from Private Analysts and Futures Prices," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(4), pages 559-583.
    See citations under working paper version above.
  14. Xian, Hui & Colson, Gregory & Karali, Berna & Wetzstein, Michael, 2017. "Do nonrenewable-energy prices affect renewable-energy volatility? The case of wood pellets," Journal of Forest Economics, Elsevier, vol. 28(C), pages 42-48.

    Cited by:

    1. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2020. "Do renewable energy production spillovers matter in the EU?," Renewable Energy, Elsevier, vol. 150(C), pages 786-796.
    2. Afees A. Salisu & Raymond Swaray, 2020. "Forecasting the Return Volatility of Energy Prices: A GARCH-MIDAS Approach," World Scientific Book Chapters, in: Stéphane Goutte & Duc Khuong Nguyen (ed.), HANDBOOK OF ENERGY FINANCE Theories, Practices and Simulations, chapter 3, pages 47-71, World Scientific Publishing Co. Pte. Ltd..
    3. Zhang, Qianxiao & Shah, Syed Ale Raza & Yang, Ling, 2022. "Modeling the effect of disaggregated renewable energies on ecological footprint in E5 economies: Do economic growth and R&D matter?," Applied Energy, Elsevier, vol. 310(C).

  15. Valizadeh, Pourya & Karali, Berna & Ferreira, Susana, 2017. "Ripple effects of the 2011 Japan earthquake on international stock markets," Research in International Business and Finance, Elsevier, vol. 41(C), pages 556-576.

    Cited by:

    1. Zhimei Lei & Kuo-Jui Wu & Li Cui & Ming K Lim, 2018. "A Hybrid Approach to Explore the Risk Dependency Structure among Agribusiness Firms," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    2. Di Tommaso, Caterina & Foglia, Matteo & Pacelli, Vincenzo, 2023. "The impact and the contagion effect of natural disasters on sovereign credit risk. An empirical investigation," International Review of Financial Analysis, Elsevier, vol. 87(C).
    3. Malik, Ihtisham A. & Chowdhury, Hasibul & Alam, Md Samsul, 2023. "Equity market response to natural disasters: Does firm's corporate social responsibility make difference?," Global Finance Journal, Elsevier, vol. 55(C).
    4. Daniel Castillo & Joseph Falzon, 2018. "An Analysis of the Impact of WannaCry Cyberattack on Cybersecurity Stock Returns," Review of Economics & Finance, Better Advances Press, Canada, vol. 13, pages 93-100, August.
    5. Pagnottoni, Paolo & Spelta, Alessandro & Flori, Andrea & Pammolli, Fabio, 2022. "Climate change and financial stability: Natural disaster impacts on global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).

  16. Ye, Shiyu & Karali, Berna, 2016. "The informational content of inventory announcements: Intraday evidence from crude oil futures market," Energy Economics, Elsevier, vol. 59(C), pages 349-364.
    See citations under working paper version above.
  17. Xian, Hui & Karali, Berna & Colson, Gregory & Wetzstein, Michael E., 2015. "Diesel or compressed natural gas? A real options evaluation of the U.S. natural gas boom on fuel choice for trucking fleets," Energy, Elsevier, vol. 90(P2), pages 1342-1348.
    See citations under working paper version above.
  18. Dorfmann, Jeffrey & Karali, Berna, 2015. "A Nonparametric Search for Information Effects from USDA Reports," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(1), pages 1-20.

    Cited by:

    1. Yan, Lei & Irwin, Scott H. & Sanders, Dwight R., 2017. "Identifying the Impact of Financialization in Commodity Futures Prices from Index Rebalancing," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258504, Agricultural and Applied Economics Association.
    2. Karali, Berna & Isengildina Massa, Olga & Irwin, Scott H., 2018. "Does Noise in Market Expectations Dilute Price Reactions to USDA Reports?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273973, Agricultural and Applied Economics Association.
    3. Karali, Berna & Isengildina-Massa, Olga & Irwin, Scott H. & Adjemian, Michael K., 2016. "Changes in Informational Value and the Market Reaction to USDA Reports in the Big Data Era," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235580, Agricultural and Applied Economics Association.
    4. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    5. Pierrick Piette, 2019. "Can Satellite Data Forecast Valuable Information from USDA Reports ? Evidences on Corn Yield Estimates," Working Papers hal-02149355, HAL.
    6. Adjemian, Michael K. & Arnade, Carlos Anthony, 2017. "Not Lost in Translation: The Impact of USDA Reports on International Corn Markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258362, Agricultural and Applied Economics Association.
    7. Ying, Jiahui & Shonkwiler, J. Scott, 2017. "A Temporal Impact Assessment Method for the Informational Content of USDA Reports in Corn and Soybean Futures Markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258201, Agricultural and Applied Economics Association.
    8. P. Figini & S. Cicognani & L. Zirulia, 2019. "Booking in the Rain: Testing the impact of public information on prices," Working Papers wp1137, Dipartimento Scienze Economiche, Universita' di Bologna.
    9. Jesse Tack & Keith H. Coble & Robert Johansson & Ardian Harri & Barry J. Barnett, 2019. "The Potential Implications of “Big Ag Data” for USDA Forecasts," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 668-683, December.
    10. Zhepeng Hu & Mindy Mallory & Teresa Serra & Philip Garcia, 2017. "Measuring Price Discovery between Nearby and Deferred Contracts in Storable and Non-Storable Commodity Futures Markets," Papers 1711.03506, arXiv.org.
    11. Zhou, Xinquan & Bagnarosa, Guillaume & Gohin, Alexandre & Pennings, Joost M.E. & Debie, Philippe, 2023. "Microstructure and high-frequency price discovery in the soybean complex," Journal of Commodity Markets, Elsevier, vol. 30(C).

  19. Susana Ferreira & Berna Karali, 2015. "Do Earthquakes Shake Stock Markets?," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-19, July.
    See citations under working paper version above.
  20. Jeffrey H. Dorfman & Berna Karali, 2014. "The Pattern of Price Linkages Among Commodities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(11), pages 1062-1076, November.

    Cited by:

    1. Long, Shaobo & Li, Jieyu & Luo, Tianyuan, 2023. "The asymmetric impact of global economic policy uncertainty on international grain prices," Journal of Commodity Markets, Elsevier, vol. 30(C).
    2. Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Energy commodities, precious metals and industrial metal markets: A nexus across different investment horizons and market conditions," Resources Policy, Elsevier, vol. 70(C).
    3. Bonato, Matteo, 2019. "Realized correlations, betas and volatility spillover in the agricultural commodity market: What has changed?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 184-202.

  21. Deak, Zsuzsanna & Karali, Berna, 2014. "Stock Market Reactions to Environmental News in the Food Industry," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(2), pages 1-17, May.

    Cited by:

    1. Daniel Buda & Hoinaru Razvan & Mocanu Mihaela & Roman Aureliana-Geta, 2019. "IAS 41 and beyond for a sustainable EU agriculture," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 13(1), pages 829-839, May.
    2. Huang, Xuan & An, Haizhong & Fang, Wei & Gao, Xiangyun & Wang, Lijun & Sun, Xiaoqi, 2016. "Impact assessment of international anti-dumping events on synchronization and comovement of the Chinese photovoltaic stocks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 459-469.
    3. Alam, Md. Mahmudul & Wei, Haitian & , Abu N. M. Wahid, 2021. "COVID-19 Outbreak and Sectoral Performance of the Australian Stock Market: An Event Study Analysis," OSF Preprints gt4wm, Center for Open Science.
    4. Pozo, Veronica F. & Schroeder, Ted C., 2016. "Evaluating the costs of meat and poultry recalls to food firms using stock returns," Food Policy, Elsevier, vol. 59(C), pages 66-77.
    5. Nerger, Gian-Luca & Huynh, Toan Luu Duc & Wang, Mei, 2021. "Which industries benefited from Trump environmental policy news? Evidence from industrial stock market reactions," Research in International Business and Finance, Elsevier, vol. 57(C).

  22. 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.
    See citations under working paper version above.
  23. Lima, Dmitry & Colson, Gregory & Karali, Berna & Guerrero, Bridget & Amosson, Stephen H. & Wetzstein, Michael, 2013. "A New Look at the Economic Evaluation of Wind Energy as an Alternative to Electric and Natural Gas-Powered Irrigation," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45(4), pages 1-12, November.

    Cited by:

    1. Xian, Hui & Colson, Gregory & Mei, Bin & Wetzstein, Michael E., 2015. "Co-firing coal with wood pellets for U.S. electricity generation: A real options analysis," Energy Policy, Elsevier, vol. 81(C), pages 106-116.
    2. Xian, Hui & Karali, Berna & Colson, Gregory & Wetzstein, Michael E., 2015. "Diesel or compressed natural gas? A real options evaluation of the U.S. natural gas boom on fuel choice for trucking fleets," Energy, Elsevier, vol. 90(P2), pages 1342-1348.
    3. Avner Bar-Ilan & Yishay D. Maoz, 2021. "Choosing a Price and Cost Combination—The Role of Correlation," JRFM, MDPI, vol. 14(11), pages 1-13, November.
    4. Mei, Bin & Wetzstein, Michael, 2017. "Burning wood pellets for US electricity generation? A regime switching analysis," Energy Economics, Elsevier, vol. 65(C), pages 434-441.

  24. 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.
  25. Olga Isengildina-Massa & Berna Karali & Scott H. Irwin, 2013. "When do the USDA forecasters make mistakes?," Applied Economics, Taylor & Francis Journals, vol. 45(36), pages 5086-5103, December.
    See citations under working paper version above.
  26. Karali, Berna, 2012. "Do USDA Announcements Affect Comovements Across Commodity Futures Returns?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(1), pages 1-21, April.

    Cited by:

    1. Prilly Oktoviany & Robert Knobloch & Ralf Korn, 2021. "A machine learning-based price state prediction model for agricultural commodities using external factors," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1063-1085, December.
    2. Karali, Berna & Isengildina Massa, Olga & Irwin, Scott H., 2018. "Does Noise in Market Expectations Dilute Price Reactions to USDA Reports?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273973, Agricultural and Applied Economics Association.
    3. Karali, Berna & Isengildina-Massa, Olga & Irwin, Scott H. & Adjemian, Michael K., 2016. "Changes in Informational Value and the Market Reaction to USDA Reports in the Big Data Era," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235580, Agricultural and Applied Economics Association.
    4. Indriawan, Ivan & Martinez, Valeria & Tse, Yiuman, 2021. "The impact of the change in USDA announcement release procedures on agricultural commodity futures," Journal of Commodity Markets, Elsevier, vol. 23(C).
    5. Farhangdoost, Sara & Etienne, Xiaoli L., 2020. "Time-Varying Storage Announcement Effect in Natural Gas Market," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304476, Agricultural and Applied Economics Association.
    6. Plante, Michael & Dhaliwal, Navi, 2017. "Inventory shocks and the oil–ethanol–grain price nexus," Economics Letters, Elsevier, vol. 156(C), pages 58-60.
    7. Yang, Yao & Karali, Berna, 2022. "How far is too far for volatility transmission?," Journal of Commodity Markets, Elsevier, vol. 26(C).
    8. Adrian Fernandez‐Perez & Bart Frijns & Ivan Indriawan & Alireza Tourani‐Rad, 2019. "Surprise and dispersion: informational impact of USDA announcements," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 113-126, January.
    9. Urom, Christian & Anochiwa, Lasbrey & Yuni, Denis & Idume, Gabriel, 2019. "Asymmetric linkages among precious metals, global equity and bond yields: The role of volatility and business cycle factors," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    10. Ying, Jiahui & Shonkwiler, J. Scott, 2017. "A Temporal Impact Assessment Method for the Informational Content of USDA Reports in Corn and Soybean Futures Markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258201, Agricultural and Applied Economics Association.
    11. Bahram Sanginabadi, 2018. "USDA Forecasts: A meta-analysis study," Papers 1801.06575, arXiv.org.
    12. McKenzie, Andrew M. & Ke, Yangmin, 2022. "How do USDA announcements affect international commodity prices?," Journal of Commodity Markets, Elsevier, vol. 28(C).
    13. Terrance Grieb & Nam Hoang, 2019. "The Effects of Hedging and Speculation on Cash-Futures Basis: Results from U.S. Wheat Markets," Review of Economics & Finance, Better Advances Press, Canada, vol. 17, pages 1-15, August.
    14. Xinyue He & Teresa Serra & Philip Garcia, 2021. "Resilience in “Flash Events” in the Corn and Lean Hog Futures Markets," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 743-764, March.
    15. Lusk, Jayson L., 2016. "From Farm Income to Food Consumption: Valuing USDA Data Products," C-FARE Reports 266593, Council on Food, Agricultural, and Resource Economics (C-FARE).

  27. Schnake, Kristin N. & Karali, Berna & Dorfman, Jeffrey H., 2012. "The Informational Content of Distant-Delivery Futures Contracts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-15, August.

    Cited by:

    1. Dorfmann, Jeffrey & Karali, Berna, 2015. "A Nonparametric Search for Information Effects from USDA Reports," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(1), pages 1-20.
    2. Zhepeng Hu & Mindy Mallory & Teresa Serra & Philip Garcia, 2017. "Measuring Price Discovery between Nearby and Deferred Contracts in Storable and Non-Storable Commodity Futures Markets," Papers 1711.03506, arXiv.org.

  28. Gonzalez, Asa O. & Karali, Berna & Wetzstein, Michael E., 2012. "A public policy aid for bioenergy investment: Case study of failed plants," Energy Policy, Elsevier, vol. 51(C), pages 465-473.

    Cited by:

    1. Lima, Dmitry & Colson, Gregory & Karali, Berna & Guerrero, Bridget & Amosson, Stephen & Wetzstein, Michael, 2013. "A New Look at the Economic Evaluation of Wind Energy as an Alternative to Electric and Natural Gas-Powered Irrigation," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 45(4), pages 739-751, November.
    2. Xian, Hui & Karali, Berna & Colson, Gregory & Wetzstein, Michael E., 2015. "Diesel or compressed natural gas? A real options evaluation of the U.S. natural gas boom on fuel choice for trucking fleets," Energy, Elsevier, vol. 90(P2), pages 1342-1348.
    3. McCarty, Tanner & Sesmero, Juan, 2014. "Uncertainty, Irreversibility, and Investment in Second-Generation Biofuels," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 179201, Agricultural and Applied Economics Association.
    4. Yi, Fujin & Lin, C.-Y. Cynthia & Thome, Karen, 2013. "An Analysis of the Effects of Government Subsidies and the Renewable Fuels Standard on the Fuel Ethanol Industry: A Structural Econometric Model," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150224, Agricultural and Applied Economics Association.
    5. Kozlova, Mariia, 2017. "Real option valuation in renewable energy literature: Research focus, trends and design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 180-196.
    6. Sesmero, Juan & McCarty, Tanner, 2014. "Cost Effectiveness of Alternative Policies to Induce Investment in Cellulosic Biofuels," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170598, Agricultural and Applied Economics Association.

  29. 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.

  30. Mullen, Jeffrey D. & Bekchanov, Ulugbek & Karali, Berna & Kissel, David & Risse, Mark L. & Rowles, Kristin & Collier, Sam, 2011. "Assessing the Market for Poultry Litter in Georgia: Are Subsidies Needed to Protect Water Quality?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(4), pages 1-16, November.

    Cited by:

    1. Spiegal, Sheri & Kleinman, Peter J.A. & Endale, Dinku M. & Bryant, Ray B. & Dell, Curtis & Goslee, Sarah & Meinen, Robert J. & Flynn, K. Colton & Baker, John M. & Browning, Dawn M. & McCarty, Greg & B, 2020. "Manuresheds: Advancing nutrient recycling in US agriculture," Agricultural Systems, Elsevier, vol. 182(C).

  31. Dorfman, Jeffrey H. & Karali, Berna, 2010. "Do Farmers Hedge Optimally or by Habit? A Bayesian Partial-Adjustment Model of Farmer Hedging," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(4), pages 1-13, November.
    See citations under working paper version above.
  32. Berna Karali & Jeffrey H. Dorfman & Walter N. Thurman, 2010. "Do volatility determinants vary across futures contracts? Insights from a smoothed Bayesian estimator," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(3), pages 257-277, March.
    See citations under working paper version above.
  33. Karali, Berna & Thurman, Walter N., 2010. "Components of Grain Futures Price Volatility," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(2), pages 1-16, August.

    Cited by:

    1. Joshua G. Maples & B. Wade Brorsen, 2022. "Handling the discontinuity in futures prices when time series modeling of commodity cash and futures prices," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(2), pages 139-152, June.
    2. Karali, Berna, 2012. "Do USDA Announcements Affect Comovements Across Commodity Futures Returns?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(1), pages 1-21, April.
    3. Debopam Rakshit & Ranjit Kumar Paul & Md Yeasin & Walid Emam & Yusra Tashkandy & Christophe Chesneau, 2023. "Modeling Asymmetric Volatility: A News Impact Curve Approach," Mathematics, MDPI, vol. 11(13), pages 1-14, June.
    4. Janis Back & Marcel Prokopczuk & Markus Rudolf, 2011. "Seasonal Stochastic Volatility: Implications for the Pricing of Commodity Options," ICMA Centre Discussion Papers in Finance icma-dp2011-16, Henley Business School, University of Reading.
    5. Laurent Ferrara & Aikaterina Karadimitropoulou & Athanasios Triantafyllou & Theodora Bermpei, 2022. "Commodity currencies revisited: The role of global commodity price uncertainty," Working Papers hal-04159791, HAL.
    6. Algirdas Justinas Staugaitis & Bernardas Vaznonis, 2022. "Financial Speculation Impact on Agricultural and Other Commodity Return Volatility: Implications for Sustainable Development and Food Security," Agriculture, MDPI, vol. 12(11), pages 1-27, November.
    7. Jing Ao & Jihui Chen, 2020. "Price Volatility, the Maturity Effect, and Global Oil Prices: Evidence from Chinese Commodity Futures Markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(4), pages 627-654, October.
    8. Back, Janis & Prokopczuk, Marcel & Rudolf, Markus, 2013. "Seasonality and the valuation of commodity options," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 273-290.
    9. Goyal, Raghav & Steinbach, Sandro, 2023. "Agricultural commodity markets in the wake of the black sea grain initiative," Economics Letters, Elsevier, vol. 231(C).
    10. Nanying Wang & Jack E. Houston, 2016. "The Co-Movement between Non-GM and GM Soybean Prices in China: Evidence from Dalian Futures Market (2004-2014)," Applied Economics and Finance, Redfame publishing, vol. 3(4), pages 37-47, November.
    11. Emiliano Magrini & Ayca Donmez, 2013. "Agricultural Commodity Price Volatility and Its Macroeconomic Determinants: A GARCH-MIDAS Approach," JRC Research Reports JRC84138, Joint Research Centre.
    12. Wang, Nanying & Houston, Jack, 2015. "The Comovement between Non-GM and GM Soybean Price in China: Evidence from Dalian Futures Market," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196775, Southern Agricultural Economics Association.
    13. Wang, Nanying & Houston, Jack E., 2015. "The Co-movement between Non-GM and GM Soybean Price in China: Evidence from China Futures Market," 2015 Conference, August 9-14, 2015, Milan, Italy 211914, International Association of Agricultural Economists.
    14. Woradee Jongadsayakul, 2015. "Determinants Of Silver Futures Price Volatility: Evidence From The Thailand Futures Exchange," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 9(4), pages 81-87.
    15. 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.
    16. Ergen, Ibrahim & Rizvanoghlu, Islam, 2016. "Asymmetric impacts of fundamentals on the natural gas futures volatility: An augmented GARCH approach," Energy Economics, Elsevier, vol. 56(C), pages 64-74.
    17. Wixson, Sarah E. & Katchova, Ani L., 2012. "Price Asymmetric Relationships in Commodity and Energy Markets," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122553, European Association of Agricultural Economists.
    18. Jin, Na, 2011. "Three essays on commodity futures and options markets," ISU General Staff Papers 201101010800001428, Iowa State University, Department of Economics.

  34. Berna Karali & Jeffrey H. Dorfman & Walter N. Thurman, 2010. "Delivery horizon and grain market volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(9), pages 846-873, September.
    See citations under working paper version above.
  35. Berna Karali & Walter N. Thurman, 2009. "Announcement effects and the theory of storage: an empirical study of lumber futures," Agricultural Economics, International Association of Agricultural Economists, vol. 40(4), pages 421-436, July.
    See citations under working paper version above.
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