- (Sarris, A., & Hallam, D. Eds.). (2006). Agricultural commodity markets and trade: New approaches to analyzing market structure and instability. Edward Elgar Publishing and FAO.
Paper not yet in RePEc: Add citation now
Abbott, P., & Borot de Battisti, A. (2011). Recent global food price shocks: Causes, consequences and lessons for African governments and donors. Journal of African Economies, 20(1), i12–i62. https://doi.org/10.1093/jae/ejr007.
- Adjemian, M. K., & Irwin, S. H. (2018). USDA announcement effects in real‐time. American Journal of Agricultural Economics, 100(4), 1151–1171. https://doi.org/10.1093/ajae/aay018.
Paper not yet in RePEc: Add citation now
- Aizenman, J., & Pinto, B. (Eds.). (2005). Managing economic volatility and crises: A practitioner's guide. Cambridge University Press.
Paper not yet in RePEc: Add citation now
- Al‐Tashi, Q., Abdulkadir, S. J., Rais, H. M., Mirjalili, S., & Alhussian, H. (2020). Approaches to multi‐objective feature selection: A systematic literature review. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2020.3007291.
Paper not yet in RePEc: Add citation now
Arnade, C., Cooke, B., & Gale, F. (2017). Agricultural price transmission: China relationships with world commodity markets. Journal of Commodity Markets, 7, 28–40. https://doi.org/10.1016/j.jcomm.2017.07.001.
Assouto, A. B., Houensou, D. A., & Semedo, G. (2020). Price risk and farmers’ decisions: A case study from Benin. Scientific African, 8, e00311. https://doi.org/10.1016/j.sciaf.2020.e00311.
Awartani, B., Aktham, M., & Cherif, G. (2016). The connectedness between crude oil and financial markets: Evidence from implied volatility indices. Journal of Commodity Markets, 4(1), 56–69. https://doi.org/10.1016/j.jcomm.2016.11.002.
Awokuse, T. O., & Wang, X. (2009). Threshold effects and asymmetric price adjustments in US dairy markets. Canadian Journal of Agricultural Economics‐Revue Canadienne D Agroeconomie, 57(2), 269–286. https://doi.org/10.1111/j.1744‐7976.2009.01151.x.
- Ayankoya, K., Calitz, A. P., & Greyling, J. H. (2016). Real‐time grain commodities price predictions in South Africa: A big data and neural networks approach. Agrekon, 55(4), 483–508. https://doi.org/10.1080/03031853.2016.1243060.
Paper not yet in RePEc: Add citation now
Babcock, B. A. (2012). The impact of US biofuel policies on agricultural price levels and volatility. China Agricultural Economic Review, 4(4), 407–426. https://doi.org/10.1108/17561371211284786.
Bachmeier, L. J., & Griffin, J. M. (2003). New evidence on asymmetric gasoline price responses. Review of Economics and Statistics, 85(3), 772–776. https://doi.org/10.1162/003465303322369902.
Balcilar, M., & Bekun, F. V. (2020). Do oil prices and exchange rates account for agricultural commodity market spillovers? Evidence from the Diebold and Yilmaz Index. Agrekon, 59(3), 366–385. https://doi.org/10.1080/03031853.2019.1694046.
- Banker, R., Mitra, S., & Sambamurthy, V. (2011). The effects of digital trading platforms on commodity prices in agricultural supply chains. MIS Quarterly: Management Information Systems, 35(3), 599–611. https://doi.org/10.2307/23042798.
Paper not yet in RePEc: Add citation now
Beck, S. (2001). Autoregressive conditional heteroscedasticity in commodity spot prices. Journal of Applied Econometrics, 16(2), 115–132. https://doi.org/10.1002/jae.591.
Bellemare, M. F., Barrett, C. B., & Just, D. R. (2013). The welfare impacts of commodity price volatility: Evidence from rural Ethiopia. American Journal of Agricultural Economics, 95(4), 877–899. https://doi.org/10.1093/ajae/aat018.
Bellemare, M. F., Lee, Y. N., & Just, D. R. (2020). Producer attitudes toward output price risk: Experimental evidence from the lab and from the field. American Journal of Agricultural Economics, 102(3), 806–825. https://doi.org/10.1002/ajae.12004.
Bettendorf, L., van der Geest, S. A., & Varkevisser, M. (2003). Price asymmetry in the Dutch retail gasoline market. Energy Economics, 25(6), 669–689. https://doi.org/10.1016/S0140‐9883(03)00035‐5.
Bhanumurthy, N. R., Dua, P., & Kumawat, L. (2013). Weather shocks and agricultural commodity prices in India. Climate Change Economics, 4(3). https://doi.org/10.1142/S2010007813500115.
Blanco, M., Ramos, F., Van Doorslaer, B., Martínez, P., Fumagalli, D., Ceglar, A., & Fernández, F. J. (2017). Climate change impacts on EU agriculture: A regionalized perspective taking into account market‐driven adjustments. Agricultural Systems, 156, 52–66. https://doi.org/10.1016/j.agsy.2017.05.013.
Bohl, M. T., Siklos, P. L., & Wellenreuther, C. (2018). Speculative activity and returns volatility of Chinese agricultural commodity futures. Journal of Asian Economics, 54, 69–91. https://doi.org/10.1016/j.asieco.2017.12.003.
Bolotova, Y., McIntosh, C. S., Muthusamy, K., & Patterson, P. E. (2008). The impact of coordination of production and marketing strategies on price behavior: Evidence from the Idaho potato industry. International Food and Agribusiness Management Review, 11(3), 1–29.
Bonroy, O., Gervais, J.‐P., & Larue, B. (2007). Are exports a monotonic function of exchange rate volatility? Evidence from disaggregated pork exports. Canadian Journal of Economics, 40(1), 127–154. https://doi.org/10.1111/j.1365‐2966.2007.00402.x.
Boyd, C. M., & Bellemare, M. F. (2020). The microeconomics of agricultural price risk. Annual Review of Resource Economics, 12, 149–169. https://doi.org/10.1146/annurev‐resource‐100518‐093807.
Bozic, M., Kanter, C. A., & Gould, B. W. (2012). Tracing the evolution of the aggregate U.S. milk supply elasticity using a herd dynamics model. Agricultural Economics (United Kingdom), 43(5), 515–530. https://doi.org/10.1111/j.1574‐0862.2012.00600.x.
- Bozorgmehr, K., Gabrysch, S., Mueller, O., Neuhann, F., Jordan, I., Knipper, M., & Razum, O. (2013). Relationship between financial speculation and food prices or price volatility: Applying the principles of evidence‐based medicine to current debates in Germany. Globalization and Health, 9. https://doi.org/10.1186/1744‐8603‐9‐44.
Paper not yet in RePEc: Add citation now
Cariolle, J., & Goujon, M. (2015). Measuring macroeconomic instability: A critical survey illustrated with exports series. Journal of Economic Surveys, 29(1), 1–26. https://doi.org/10.1111/joes.12036.
- Carvalho, J. M., Paiva, E. L., & Vieira, L. M. (2016). Quality attributes of a high specification product: Evidences from the speciality coffee business. British Food Journal, 118(1), 132–149. https://doi.org/10.1108/BFJ‐02‐2015‐0059.
Paper not yet in RePEc: Add citation now
Chang, C.‐L., Huang, B.‐W., Chen, M.‐G., & McAleer, M. (2011). Modelling the asymmetric volatility in hog prices in Taiwan: The impact of joining the WTO. Mathematics and Computers in Simulation, 81(7), SI, 1491–1506. https://doi.org/10.1016/j.matcom.2010.06.003.
Chavas, J.‐P., & Kim, K. (2004). A heteroskedastic multivariate Tobit analysis of price dynamics in the presence of price floors. American Journal of Agricultural Economics, 86(3), 576–593. https://doi.org/10.1111/j.0002‐9092.2004.00602.x.
Chavas, J.‐P., & Mehta, A. (2004). Price dynamics in a vertical sector: The case of butter. American Journal of Agricultural Economics, 86(4), 1078–1093. https://doi.org/10.1111/j.0002‐9092.2004.00654.x.
- Ciaian, P., & Kancs, D. (2011). Credit constraints, heterogeneous farms and price volatility: Micro‐evidence from the new EU member states. Outlook on Agriculture, 40(2), 105–117. https://doi.org/10.5367/oa.2011.0039.
Paper not yet in RePEc: Add citation now
- Dehn, J., Gilbert, C. L., & Varangis, P. (2005). Agricultural commodity price volatility. In J. Aizenman & B. Pinto (Eds.), Managing economic volatility and crises: A practitioner's guide (pp. 137–185). Cambridge University Press.
Paper not yet in RePEc: Add citation now
- Dev, S. M., & Rao, N. C. (2010). Agricultural price policy, farm profitability and food security. Economic and Political Weekly, 45(26–27), 174–182. https://www.scopus.com/inward/record.uri?eid=2-s2.0-83455249305&partnerID=40&md5=9ba2c786a49ec92c229245c13c70fd29.
Paper not yet in RePEc: Add citation now
- El Benni, N., & Finger, R. (2013). Gross revenue risk in Swiss dairy farming. Journal of Dairy Science, 96(2), 936–948. https://doi.org/10.3168/jds.2012‐5695.
Paper not yet in RePEc: Add citation now
Elmarzougui, E., & Larue, B. (2013). On the evolving relationship between corn and oil prices. Agribusiness, 29(3), 344–360. https://doi.org/10.1002/agr.21337.
Elobeid, A., & Tokgoz, S. (2008). Removing distortions in the U.S. ethanol market: What does It imply for the United States and Brazil? American Journal of Agricultural Economics, 90(4), 918–932. https://doi.org/10.1111/j.1467‐8276.2008.01158.x.
- Ezeaku, H. C., Asongu, S. A., & Nnanna, J. (2021a). Volatility of international commodity prices in times of COVID‐19: Effects of oil supply and global demand shocks. Extractive Industries and Society, 8(1), 257–270. https://doi.org/10.1016/j.exis.2020.12.013.
Paper not yet in RePEc: Add citation now
- Ezeaku, H. C., Asongu, S. A., & Nnanna, J. (2021b). Volatility of international commodity prices in times of COVID‐19: Effects of oil supply and global demand shocks. Extractive Industries and Society, 8(1), 257–270. https://doi.org/10.1016/j.exis.2020.12.013.
Paper not yet in RePEc: Add citation now
Fang, Y., Guan, B., Wu, S., & Heravi, S. (2020). Optimal forecast combination based on ensemble empirical mode decomposition for agricultural commodity futures prices. Journal of Forecasting, 39(6), 877–886. https://doi.org/10.1002/for.2665.
Femenia, F. (2010). Impacts of stockholding behaviour on agricultural market volatility: A dynamic computable general equilibrium approach. German Journal of Agricultural Economics, 59(3), 187–201.
- Feng, S., Patton, M., Binfield, J., & Davis, J. (2014). Uneven natural hedge effects in the wheat sector and implications for risk management tools. EuroChoices, 13(3), 19–25. https://doi.org/10.1111/1746‐692X.12067.
Paper not yet in RePEc: Add citation now
Fofana, I., Chitiga, M., & Mabugu, R. (2009). Oil prices and the South African economy: A macro–meso–micro analysis. Energy Policy, 37(12), 5509–5518. https://doi.org/10.1016/j.enpol.2009.08.030.
Franken, J. R. V., Pennings, J. M. E., & Garcia, P. (2014). Measuring the effect of risk attitude on marketing behavior. Agricultural Economics (United Kingdom), 45(5), 525–535. https://doi.org/10.1111/agec.12104.
Fraser, E. D. G., Legwegoh, A., & KC, K. (2015). Food stocks and grain reserves: Evaluating whether storing food creates resilient food systems. Journal of Environmental Studies and Sciences, 5(3), 445–458. https://doi.org/10.1007/s13412‐015‐0276‐2.
Fretheim, T., & Kristiansen, G. (2015). Commodity market risk from 1995 to 2013: An extreme value theory approach. Applied Economics, 47(26), 2768–2782. https://doi.org/10.1080/00036846.2015.1011307.
Frey, G., & Manera, M. (2007). Econometric models of asymmetric price transmission. Journal of Economic surveys, 21(2), 349‐415.
- FSIN and Global Network Against Food Crises. 2021a. Global Report on Food Crises 2021. Rome. https://www.fsinplatform.org/sites/default/files/resources/Afiles/GRFC2021.pdf.
Paper not yet in RePEc: Add citation now
- FSIN and Global Network Against Food Crises. 2021b. Global Report on Food Crises 2021. Rome. https//www.fsinplatform.org/sites/default/files/resources/Afiles/GRFC2021.pdf.
Paper not yet in RePEc: Add citation now
Ghoshray, A. (2011). A reexamination of trends in primary commodity prices. Journal of Development Economics, 95(2), 242–251. https://doi.org/10.1016/j.jdeveco.2010.04.001.
Gontijo, T. S., Rodrigues, A. C., De Muylder, C. F., la Falce, J. L., & Pereira, T. H. M. (2020). Analysis of olive oil market volatility using the arch and garch techniques. International Journal of Energy Economics and Policy, 10(3), 423–428. https://doi.org/10.32479/ijeep.9138.
Gouel, C. (2012). Agricultural price instability: A survey of competing explanations and remedies. Journal of Economic Surveys, 26(1), 129–156. https://doi.org/10.1111/j.1467‐6419.2010.00634.x.
Gródek‐Szostak, Z., Malik, G., Kajrunajtys, D., Szeląg‐Sikora, A., Sikora, J., Kuboń, M., Niemiec, M., Kapusta‐Duch, J., Grodek‐Szostak, Z., Malik, G., Kajrunajtys, D., Szelag‐Sikora, A., Sikora, J., Kubon, M., Niemiec, M., & Kapusta‐Duch, J. (2019). Modeling the dependency between extreme prices of selected agricultural products on the derivatives market using the linkage function. Sustainability, 11(15), 4144. https://doi.org/10.3390/su11154144.
Guerra, V., E, A., Bobenrieth, H., E, S. A., Bobenrieth, H., J, R. A., Cafiero, C., Guerra, E. A., Bobenrieth, H. V., E, S. A., Bobenrieth, H., J, R. A., & Cafiero, C. (2015). Empirical commodity storage model: the challenge of matching data and theory. European Review of Agricultural Economics, 42(4), 607–623. https://doi.org/10.1093/erae/jbu037.
- Haile, M. G., Wossen, T., & Kalkuhl, M. (2019). Access to information, price expectations and welfare: The role of mobile phone adoption in Ethiopia. Technological Forecasting and Social Change, 145, 82–92. https://doi.org/10.1016/j.techfore.2019.04.017.
Paper not yet in RePEc: Add citation now
Harwood, J., Heifner, R., Coble, K., Perry, J., & Somwaru, A. (1999). Managing risk in farming: Concepts, research, and analysis. U.S. Department of Agriculture, ERS.
- Headey, D. D. (2013). The impact of the global food crisis on self‐assessed food security. The World Bank Economic Review, 27(1), 1–27. https://doi.org/10.1093/wber/lhs033.
Paper not yet in RePEc: Add citation now
- Heyder, M., Theuvsen, L., & Davier, Z. V. (2010). Strategies for coping with uncertainty: The adaptation of food chains to volatile markets. Journal on Chain and Network Science, 10(1), 17–25. https://doi.org/10.3920/JCNS2010.x102.
Paper not yet in RePEc: Add citation now
Huang, J., Serra, T., & Garcia, P. (2021). The value of USDA announcements in the electronically traded corn futures market: A modified sufficient test with risk adjustments. Journal of Agricultural Economics. https://doi.org/10.1111/1477‐9552.12426.
Huffaker, R. (2015). Building economic models corresponding to the real world. Applied Economic Perspectives and Policy, 37(4), 537–552. https://doi.org/10.1093/aepp/ppv021.
- Huffaker, R., Berg, E., & Canavari, M. (2018). Reconstructing deterministic economic dynamics from volatile time series data. In The Routledge Handbook of Agricultural Economics (pp. 533–547). Routledge.
Paper not yet in RePEc: Add citation now
Isengildina‐Massa, O., Irwin, S. H., Good, D. L., & Gomez, J. K. (2008). Impact of WASDE reports on implied volatility in corn and soybean markets. Agribusiness, 24(4), 473–490. https://doi.org/10.1002/agr.20174.
- Istudor, N., Armeanu, D., Sgardea, F. M., & Dinicǎ, M.‐C. (2014). Price uncertainty and optimal hedging in the agricultural market. Transylvanian Review of Administrative Sciences, 42, 32–48. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903139369&partnerID=40&md5=71ba0399af73b0bff4a263f17c7c46dc.
Paper not yet in RePEc: Add citation now
Jones, A., & Hiller, B. (2017). Exploring the dynamics of responses to food production shocks. Sustainability, 9(6), 960. https://doi.org/10.3390/su9060960.
Kahiluoto, H. (2020). Food systems for resilient futures. Food Security, 12(4), 853–857. https://doi.org/10.1007/s12571‐020‐01070‐7.
- Karia, A. A., & Bujang, I. (2011). Progress accuracy of CPO price prediction: Evidence from ARMA family and artificial neural network approach. International Research Journal of Finance and Economics, 64, 66–79. https://www.scopus.com/inward/record.uri?eid=2-s2.0-79955551242&partnerID=40&md5=6894aa44d7e0bd45dd43f4b58bc4e833.
Paper not yet in RePEc: Add citation now
Kilima, F. T. M., Chung, C., Kenkel, P., & Mbiha, E. R. (2008). Impacts of market reform on spatial volatility of maize prices in Tanzania. Journal of Agricultural Economics, 59(2), 257–270. https://doi.org/10.1111/j.1477‐9552.2007.00146.x.
Kim, K., & Chavas, J.‐P. P. (2002). A dynamic analysis of the effects of a price support program on price dynamics and price volatility. Journal of Agricultural and Resource Economics, 27(2), 495–514. https://www.scopus.com/inward/record.uri?eid=2-s2.0-0037002626&partnerID=40&md5=b34248d4d93bf769bc5d574f7f5a252b.
- Koizumi, T. (2019). Impact of agricultural investments on world wheat market under climate change: Effects of agricultural knowledge and innovation system, and development and maintenance of infrastructure. Japan Agricultural Research Quarterly, 53(2), 109–125. https://doi.org/10.6090/jarq.53.109.
Paper not yet in RePEc: Add citation now
- Koizumi, T., & Furuhashi, G. (2020). Global rice market projections distinguishing japonica and indica rice under climate change. Japan Agricultural Research Quarterly, 54(1), 63–91.
Paper not yet in RePEc: Add citation now
Kunimitsu, Y., Sakurai, G., & Iizumi, T. (2020). Systemic risk in global agricultural markets and trade liberalization under climate change: Synchronized crop‐yield change and agricultural price volatility. Sustainability, 12(24). https://doi.org/10.3390/su122410680.
Larson, D. F. (2004). Policies on managing risk in agricultural markets. The World Bank Research Observer, 19(2), 199–230. https://doi.org/10.1093/wbro/lkh022.
Lefebvre, M., Midler, E., & Bontems, P. (2020). Adoption of environment‐friendly agricultural practices with background risk: Experimental evidence. Environmental and Resource Economics, 76(2–3), 405–428. https://doi.org/10.1007/s10640‐020‐00431‐2.
Legrand, N. (2019). The empirical merit of structural explanations of commodity price volatility: Review and perspectives. Journal of Economic Surveys, 33(2), 639–664. https://doi.org/10.1111/joes.12291.
- LI, J., Rodriguez, D., WANG, H.‐X., & WU, L.‐S. (2018). Designing price‐contingent vegetable rotation schedules using agent‐based simulation. Journal of Integrative Agriculture, 17(2), 461–472. https://doi.org/10.1016/S2095‐3119(17)61741‐6.
Paper not yet in RePEc: Add citation now
Liu, X., Lehtonen, H., Purola, T., Pavlova, Y., Rötter, R., & Palosuo, T. (2016). Dynamic economic modelling of crop rotations with farm management practices under future pest pressure. Agricultural Systems, 144, 65–76. https://doi.org/10.1016/j.agsy.2015.12.003.
- Mainardi, S. (2012a). Duration dependence and dynamic conditional covariance of seasonal food price shocks in semi‐arid African countries. Food Security, 4(2), 235–252. https://doi.org/10.1007/s12571‐012‐0179‐y.
Paper not yet in RePEc: Add citation now
- Mainardi, S. (2012b). Duration dependence and dynamic conditional covariance of seasonal food price shocks in semi‐arid African countries. Food Security, 4(2), 235–252. https://doi.org/10.1007/s12571‐012‐0179‐y.
Paper not yet in RePEc: Add citation now
- Mao, Q., Ren, Y., & Loy, J.‐P. (2021). Price bubbles in agricultural commodity markets and contributing factors: Evidence for corn and soybeans in China. China Agricultural Economic Review, 13(1), 91–122. https://doi.org/10.1108/CAER‐10‐2019‐0190.
Paper not yet in RePEc: Add citation now
- Marcos‐Pablos, S., & García‐Peñalvo, F. J. (2018). Decision support tools for SLR search string construction. Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality. https://doi.org/10.1145/3284179.3284292.
Paper not yet in RePEc: Add citation now
- Misra, M. (2012). Does government intervention matter? Revisiting recent rice price increases in Bangladesh. Perspectives on Global Development and Technology, 11(1), 112–130. https://doi.org/10.1163/156914912.620770.
Paper not yet in RePEc: Add citation now
- Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta‐analyses: The PRISMA statement. BMJ, 339(jul21 1), b2535–b2535. https://doi.org/10.1136/bmj.b2535.
Paper not yet in RePEc: Add citation now
Monk, M. J. J., Jordaan, H., Grove, B., & Grové, B. (2010). Factors affecting the price volatility of July futures contracts for white maize in South Africa. Agrekon, 49(4), 446–458. https://doi.org/10.1080/03031853.2010.526420.
Muflikh, Y. N., Smith, C., Brown, C., & Aziz, A. A. (2021). Analyzing price volatility in agricultural value chains using systems thinking: A case study of the Indonesian chilli value chain. Agricultural Systems, 192. https://doi.org/10.1016/j.agsy.2021.103179.
Ott, H. (2014). Extent and possible causes of intrayear agricultural commodity price volatility. Agricultural Economics, 45(2), 225–252. https://doi.org/10.1111/agec.12043.
- Pindyck, R. S., & Rotemberg, J. J. (1990). The excess co‐movement of commodity prices. The Economic Journal, 100, 1173–1189.
Paper not yet in RePEc: Add citation now
Roussy, C., Ridier, A., Chaib, K., & Boyet, M. (2018). Marketing contracts and risk management for cereal producers. Agribusiness, 34(3), 616–630. https://doi.org/10.1002/agr.21549.
Santeramo, F. G., Lamonaca, E., Contò, F., Nardone, G., Stasi, A., Conto, F., Nardone, G., & Stasi, A. (2018). Drivers of grain price volatility: A cursory critical review. Agricultural Economics (Zemědělská Ekonomika), 64(No. 8), 347–356. https://doi.org/10.17221/55/2017‐AGRICECON.
- Santeramo, F. G., Miljkovic, D., & Lamonaca, E. (2021). Agri‐food trade and climate change. Economia Agro‐Alimentare, 1, 1–18. https://doi.org/10.3280/ecag1‐2021oa11676.
Paper not yet in RePEc: Add citation now
- Santeramo, Fabio G. (2022). Price dynamics, LOP and quantile regressions. Journal of Agricultural and Resource Economics, 1–15.
Paper not yet in RePEc: Add citation now
Shively, G., & Thapa, G. (2017). Markets, transportation infrastructure, and food prices in Nepal. American Journal of Agricultural Economics, 99(3), 660–682. https://doi.org/10.1093/ajae/aaw086.
Srinivasan, P. V, & Jha, S. (2001). Liberalized trade and domestic price stability. The case of rice and wheat in India. Journal of Development Economics, 65(2), 417–441. https://doi.org/10.1016/S0304‐3878(01)00143‐2.
Turvey, C. G., & Komar, S. (2007). Martingale Restrictions and the Implied Market Price of Risk. Canadian Journal of Agricultural Economics/Revue Canadienne d’agroeconomie, 55(1), 138–158. https://doi.org/10.1111/j.1744‐7976.2007.00084_2.x.
- Url, T., Sinabell, F., & Heinschink, K. (2018). Addressing basis risk in agricultural margin insurances: The case of wheat production in Austria. Agricultural Finance Review, 78(2), 233–245. https://doi.org/10.1108/AFR‐06‐2017‐0055.
Paper not yet in RePEc: Add citation now
Valenzuela, E., Hertel, T. W., Keeney, R., & Reimer, J. J. (2007). Assessing global computable general equilibrium model validity using agricultural price volatility. American Journal of Agricultural Economics, 89(2), 383–397. https://doi.org/10.1111/j.1467‐8276.2007.00977.x.
- Vidaurreta, I., Orengo, J., de la Fe, C., Maria Gonzalez, J., Gomez‐Martin, A., & Benito, B. (2020). Price fluctuation, protected geographical indications and employment in the Spanish small ruminant sector during the COVID‐19 crisis. Animals, 10(12). https://doi.org/10.3390/ani10122221.
Paper not yet in RePEc: Add citation now
Winne, J. D., & Peersman, G. (2016). Macroeconomic effects of disruptions in global food commodity markets: evidence for the United States. Brookings Papers on Economic Activity, Fall, (2), 183–286. https://doi.org/10.1353/eca.2016.0028.
- Winters, L. A., & (Sapsford, D. Eds.). (1990). Primary commodity prices: Economic models and policy. Cambridge University Press.
Paper not yet in RePEc: Add citation now
- Xie, R., Isengildina‐Massa, O., Dwyer, G. P., & Sharp, J. L. (2016). The impact of public and semi‐public information on cotton futures market. Applied Economics, 48(36), 3416–3431. https://doi.org/10.1080/00036846.2016.1139677.
Paper not yet in RePEc: Add citation now
Yang, J., Balyeat, R. B., & Leatham, D. J. (2005). Futures trading activity and commodity cash price volatility. Journal of Business Finance & Accounting, 32(1‐2), 297‐323.
Yang, J., Haigh, M. S., & Leatham, D. J. (2001). Agricultural liberalization policy and commodity price volatility: A GARCH application. Applied Economics Letters, 8(9), 593–598. https://doi.org/10.1080/13504850010018734.
- Yoshimoto, A. (2005). Option approach to search for threshold rice price toward sustainable paddy field management. Asia‐Pacific Financial Markets, 12(2), 181–198. https://doi.org/10.1007/s10690‐006‐9018‐5.
Paper not yet in RePEc: Add citation now
Zhang, C., Meng, C., & Getz, L. (2014). Food prices and inflation dynamics in China. China Agricultural Economic Review, 6(3), 395–412. https://doi.org/10.1108/CAER‐12‐2012‐0140.
Zhang, D. (2015). The trade effect of price risk: a system‐wide approach. Empirical Economics, 48(3), 1149–1167. https://doi.org/10.1007/s00181‐014‐0818‐6.
Zivkov, D., Njegic, J., & Pecanac, M. (2019). Multiscale interdependence between the major agricultural commodities. Agricultural Economics‐Zemedelska Ekonomika, 65(2), 82–92. https://doi.org/10.17221/147/2018‐AGRICECON.