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Magdalena Cornejo

Personal Details

First Name:Magdalena
Middle Name:
Last Name:Cornejo
Suffix:
RePEc Short-ID:pco814
[This author has chosen not to make the email address public]
http://www.utdt.edu/ver_contenido.php?id_contenido=10743&id_item_menu=20045

Affiliation

Escuela de Negocios
Universidad Torcuato Di Tella

Buenos Aires, Argentina
http://www.utdt.edu/negocios
RePEc:edi:eeutdar (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Cornejo, Magdalena & Merener, Nicolas & Merovich, Ezequiel, 2024. "Extreme Dry Spells and Larger Storms in the U.S. Midwest Raise Crop Prices," 2024 Annual Meeting, July 28-30, New Orleans, LA 343690, Agricultural and Applied Economics Association.
  2. Magdalena Cornejo & Michelle Hallack & Matias David, 2024. "The Transition to Renewables: Dampening the Impact of Fossil Fuel Price Shocks on Local Inflation," Working Papers 345, Red Nacional de Investigadores en Economía (RedNIE).
  3. Cornejo, Magdalena & Sosa Escudero, Walter, 2022. "Predicciones agregadas de pobreza con información a escala micro y macro: evaluación, diagnóstico y propuestas," Estudios Estadísticos 48018, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  4. Hildegart Ahumada & Magdalena Cornejo, 2020. "The effect of Amazon deforestation on global climate variables," Asociación Argentina de Economía Política: Working Papers 4332, Asociación Argentina de Economía Política.
  5. Hildegart Ahumada & Magdalena Cornejo, 2019. "How econometrics can help us understand the effects of climate change on crop yields: the case of soybeans," School of Government Working Papers 201902, Universidad Torcuato Di Tella.

Articles

  1. Dams Carolina & Sarria Allende Virginia & Cornejo Magdalena & Pasquini Ricardo A. & Robiolo Gabriela, 2022. "Impact of Accelerators, as Education & Training Programs, on Female Entrepreneurs," Entrepreneurship Research Journal, De Gruyter, vol. 12(3), pages 329-362, July.
  2. Hildegart Ahumada & Magdalena Cornejo, 2021. "Are Soybean Yields Getting a Free Ride from Climate Change? Evidence from Argentine Time Series Data," Econometrics, MDPI, vol. 9(2), pages 1-14, June.
  3. Magdalena Cornejo, 2021. "Forecasting crop yields through climate variables using mixed frequency data. The case of Argentine soybeans," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 67, pages 93-106, January-D.
  4. Ariel A. Casarin & Magdalena Cornejo & María Eugenia Delfino, 2020. "Market Power Absent Merger Review: Brewing in Perú," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(3), pages 535-556, May.
  5. Magdalena Cornejo, 2020. "Modeling the determinants of commodity prices," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(75), pages 82-117, November.
  6. Ahumada, H. & Cornejo, M., 2016. "Forecasting food prices: The case of corn, soybeans and wheat," International Journal of Forecasting, Elsevier, vol. 32(3), pages 838-848.
  7. Hildegart Ahumada & Magdalena Cornejo, 2016. "Out-of-sample testing price discovery in commodity markets: the case of soybeans," Agricultural Economics, International Association of Agricultural Economists, vol. 47(6), pages 709-718, November.
  8. Hildegart Ahumada & Magdalena Cornejo, 2015. "Long-run effects of commodity prices on the real exchange rate: evidence from Argentina," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 61, pages 3-33, January-D.
  9. Hildegart Ahumada & Magdalena Cornejo, 2015. "Explaining commodity prices by a cointegrated time series-cross section model," Empirical Economics, Springer, vol. 48(4), pages 1667-1690, June.

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

    Sorry, no citations of working papers recorded.

Articles

  1. Hildegart Ahumada & Magdalena Cornejo, 2021. "Are Soybean Yields Getting a Free Ride from Climate Change? Evidence from Argentine Time Series Data," Econometrics, MDPI, vol. 9(2), pages 1-14, June.

    Cited by:

    1. Guo, Kun & Li, Yichong & Zhang, Yunhan & Ji, Qiang & Zhao, Wanli, 2023. "How are climate risk shocks connected to agricultural markets?," Journal of Commodity Markets, Elsevier, vol. 32(C).
    2. Sergej Gricar & Stefan Bojnec & Tea Baldigara, 2022. "Insight into Predicted Shocks in Tourism: Review of an Ex-Ante Forecasting," JRFM, MDPI, vol. 15(10), pages 1-17, September.
    3. Hildegart Ahumada & Magdalena Cornejo, 2019. "How econometrics can help us understand the effects of climate change on crop yields: the case of soybeans," School of Government Working Papers 201902, Universidad Torcuato Di Tella.

  2. Ariel A. Casarin & Magdalena Cornejo & María Eugenia Delfino, 2020. "Market Power Absent Merger Review: Brewing in Perú," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(3), pages 535-556, May.

    Cited by:

    1. Dai, Jiawa & Feng, Yuchen & Wang, Ziuqing & Yuan, Guang, 2021. "Does higher market power necessarily reduce efficiency? Evidence from Chinese rice processing enterprises," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(1).
    2. Arancibia, Rodrigo García & Masaro, Jimena Vicentin & Coronel, Mariano, 2024. "Latin American beer production and import demand for regional malt and malted barley," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 15(02), June.

  3. Ahumada, H. & Cornejo, M., 2016. "Forecasting food prices: The case of corn, soybeans and wheat," International Journal of Forecasting, Elsevier, vol. 32(3), pages 838-848.

    Cited by:

    1. Wuyue An & Lin Wang & Yu‐Rong Zeng, 2023. "Text‐based soybean futures price forecasting: A two‐stage deep learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 312-330, March.
    2. Crespo-Cuaresma, Jesus & Fortin, Ines & Hlouskova, Jaroslava & Obersteiner, Michael, 2021. "Regime-dependent commodity price dynamics: A predictive analysis," IHS Working Paper Series 28, Institute for Advanced Studies.
    3. Mei, Dexiang & Xie, Yutang, 2022. "U.S. grain commodity futures price volatility: Does trade policy uncertainty matter?," Finance Research Letters, Elsevier, vol. 48(C).
    4. Hedi Ben Haddad & Imed Mezghani & Abdessalem Gouider, 2021. "The Dynamic Spillover Effects of Macroeconomic and Financial Uncertainty on Commodity Markets Uncertainties," Economies, MDPI, vol. 9(2), pages 1-22, June.
    5. Lorenzo Menculini & Andrea Marini & Massimiliano Proietti & Alberto Garinei & Alessio Bozza & Cecilia Moretti & Marcello Marconi, 2021. "Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices," Forecasting, MDPI, vol. 3(3), pages 1-19, September.
    6. Wang, Yudong & Liu, Li & Wu, Chongfeng, 2020. "Forecasting commodity prices out-of-sample: Can technical indicators help?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 666-683.
    7. Boxuan Li & Meng Niu & Jing Zhao & Xi Zheng & Ran Chen & Xiao Ling & Jinxin Li & Yuxiao Wang, 2023. "Agricultural Cultivation Structure in Arid Areas Based on Water–Carbon Nexus—Taking the Middle Reaches of the Heihe River as an Example," Land, MDPI, vol. 12(7), pages 1-18, July.
    8. Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
    9. Rotem Zelingher & David Makowski, 2022. "Forecasting Global Maize Prices From Regional Productions [Prévision des prix mondiaux du maïs à partir des productions régionales]," Post-Print hal-03764942, HAL.
    10. Iuga, Iulia Cristina & Mudakkar, Syeda Rabab & Dragolea, Larisa Loredana, 2024. "Agricultural commodities market reaction to COVID-19," Research in International Business and Finance, Elsevier, vol. 69(C).
    11. Binrong Wu & Zhongrui Wang & Lin Wang, 2024. "Interpretable corn future price forecasting with multivariate time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1575-1594, August.
    12. Li, Jianping & Li, Guowen & Liu, Mingxi & Zhu, Xiaoqian & Wei, Lu, 2022. "A novel text-based framework for forecasting agricultural futures using massive online news headlines," International Journal of Forecasting, Elsevier, vol. 38(1), pages 35-50.
    13. Dinggao Liu & Zhenpeng Tang & Yi Cai, 2022. "A Hybrid Model for China’s Soybean Spot Price Prediction by Integrating CEEMDAN with Fuzzy Entropy Clustering and CNN-GRU-Attention," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    14. Liu, Guangqiang & Luo, Keyu & Xu, Pengfei & Zhang, Simeng, 2023. "Climate policy uncertainty and its impact on major grain futures," Finance Research Letters, Elsevier, vol. 58(PB).
    15. Jesus Crespo Cuaresma & Jaroslava Hlouskova & Michael Obersteiner, 2021. "Agricultural commodity price dynamics and their determinants: A comprehensive econometric approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1245-1273, November.
    16. Liwen Ling & Dabin Zhang & Shanying Chen & Amin W. Mugera, 2020. "Can online search data improve the forecast accuracy of pork price in China?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 671-686, July.
    17. Su, Yuandong & Liang, Chao & Zhang, Li & Zeng, Qing, 2022. "Uncover the response of the U.S grain commodity market on El Niño–Southern Oscillation," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 98-112.
    18. Shahnoushi, Naser & Sayed, Saghaian & Hezareh, Reza & Tirgari Seraji, Mohammad, 2017. "Investigation of Relationship Between World Food Prices and Energy Price: A Panel SUR Approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252782, Southern Agricultural Economics Association.
    19. Rui Luo & Jinpei Liu & Piao Wang & Zhifu Tao & Huayou Chen, 2024. "A multisource data‐driven combined forecasting model based on internet search keyword screening method for interval soybean futures price," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 366-390, March.
    20. Mathias Schneid Tessmann & Carlos Enrique Carrasco-Gutierrez & Alexandre Vasconcelos Lima, 2023. "Determinants of Corn and Soybean Futures Prices Traded on the Brazilian Stock Exchange: An ARDL Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 15(1), pages 1-65, January.
    21. Andree,Bo Pieter Johannes, 2021. "Estimating Food Price Inflation from Partial Surveys," Policy Research Working Paper Series 9886, The World Bank.

  4. Hildegart Ahumada & Magdalena Cornejo, 2016. "Out-of-sample testing price discovery in commodity markets: the case of soybeans," Agricultural Economics, International Association of Agricultural Economists, vol. 47(6), pages 709-718, November.

    Cited by:

    1. 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.
    2. Emmanuel Paroissien, 2020. "Forecasting bulk prices of Bordeaux wines using leading indicators," Post-Print hal-02408202, HAL.
    3. Xiaojie Xu, 2018. "Cointegration and price discovery in US corn cash and futures markets," Empirical Economics, Springer, vol. 55(4), pages 1889-1923, December.

  5. Hildegart Ahumada & Magdalena Cornejo, 2015. "Long-run effects of commodity prices on the real exchange rate: evidence from Argentina," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 61, pages 3-33, January-D.

    Cited by:

    1. Wanling Huang & André Varella Mollick & Khoa Huu Nguyen, 2017. "Dynamic responses and tail-dependence among commodities, the US real interest rate and the dollar," Empirical Economics, Springer, vol. 53(3), pages 959-997, November.

  6. Hildegart Ahumada & Magdalena Cornejo, 2015. "Explaining commodity prices by a cointegrated time series-cross section model," Empirical Economics, Springer, vol. 48(4), pages 1667-1690, June.

    Cited by:

    1. Crespo-Cuaresma, Jesus & Fortin, Ines & Hlouskova, Jaroslava & Obersteiner, Michael, 2021. "Regime-dependent commodity price dynamics: A predictive analysis," IHS Working Paper Series 28, Institute for Advanced Studies.
    2. Ahumada, H. & Cornejo, M., 2016. "Forecasting food prices: The case of corn, soybeans and wheat," International Journal of Forecasting, Elsevier, vol. 32(3), pages 838-848.
    3. Sima Siami‐Namini, 2021. "U.S. Monetary Policy and Commodity Prices: A SVECM Approach," Economic Papers, The Economic Society of Australia, vol. 40(4), pages 288-312, December.
    4. Chen, Peng & Miao, Xinru, 2024. "Understanding the role of China's factors in international commodity price fluctuations: A perspective of monetary-fiscal policy interaction," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1464-1483.
    5. Fabian Lutzenberger & Benedikt Gleich & Herbert G. Mayer & Christian Stepanek & Andreas W. Rathgeber, 2017. "Metals: resources or financial assets? A multivariate cross-sectional analysis," Empirical Economics, Springer, vol. 53(3), pages 927-958, November.
    6. Drachal, Krzysztof, 2019. "Forecasting prices of selected metals with Bayesian data-rich models," Resources Policy, Elsevier, vol. 64(C).
    7. Jesus Crespo Cuaresma & Jaroslava Hlouskova & Michael Obersteiner, 2021. "Agricultural commodity price dynamics and their determinants: A comprehensive econometric approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1245-1273, November.
    8. Mathias Schneid Tessmann & Carlos Enrique Carrasco-Gutierrez & Alexandre Vasconcelos Lima, 2023. "Determinants of Corn and Soybean Futures Prices Traded on the Brazilian Stock Exchange: An ARDL Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 15(1), pages 1-65, January.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-AGR: Agricultural Economics (5) 2020-02-10 2021-04-26 2022-01-24 2024-02-26 2024-08-12. Author is listed
  2. NEP-ENV: Environmental Economics (4) 2020-02-10 2021-04-26 2022-01-24 2024-02-26. Author is listed
  3. NEP-ENE: Energy Economics (2) 2021-04-26 2022-01-24. Author is listed
  4. NEP-BIG: Big Data (1) 2022-09-05
  5. NEP-HIS: Business, Economic and Financial History (1) 2024-02-26

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