IDEAS home Printed from https://ideas.repec.org/p/ags/aaea22/343541.html
   My bibliography  Save this paper

Dynamic Linkages in Agricultural and Energy Markets: A Quantile Impulse Response Approach

Author

Listed:
  • Wang, Linjie
  • Chavas, Jean-Paul
  • Li, Jian

Abstract

No abstract is available for this item.

Suggested Citation

  • Wang, Linjie & Chavas, Jean-Paul & Li, Jian, 2024. "Dynamic Linkages in Agricultural and Energy Markets: A Quantile Impulse Response Approach," 2024 Annual Meeting, July 28-30, New Orleans, LA 343541, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea22:343541
    DOI: 10.22004/ag.econ.343541
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/343541/files/27902.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.343541?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
    2. Fadi Abdelradi & Teresa Serra, 2015. "Asymmetric price volatility transmission between food and energy markets: The case of Spain," Agricultural Economics, International Association of Agricultural Economists, vol. 46(4), pages 503-513, July.
    3. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    4. Gal Hochman & David Zilberman, 2018. "Corn Ethanol and U.S. Biofuel Policy 10 Years Later: A Quantitative Assessment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(2), pages 570-584.
    5. Sun, Yunpeng & Gao, Pengpeng & Raza, Syed Ali & Shah, Nida & Sharif, Arshian, 2023. "The asymmetric effects of oil price shocks on the world food prices: Fresh evidence from quantile-on-quantile regression approach," Energy, Elsevier, vol. 270(C).
    6. Eric Jondeau & Michael Rockinger, 2006. "Optimal Portfolio Allocation under Higher Moments," European Financial Management, European Financial Management Association, vol. 12(1), pages 29-55, January.
    7. Helmut Herwartz & Alberto Saucedo, 2020. "Food–oil volatility spillovers and the impact of distinct biofuel policies on price uncertainties on feedstock markets," Agricultural Economics, International Association of Agricultural Economists, vol. 51(3), pages 387-402, May.
    8. Newton, John & Kuethe, Todd, 2015. "Changing Landscape of Corn and Soybean Production and Potential Implications in 2015," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 5, March.
    9. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Linjie Wang & Jean‐Paul Chavas & Jian Li, 2024. "Dynamic linkages in agricultural and energy markets: A quantile impulse response approach," Agricultural Economics, International Association of Agricultural Economists, vol. 55(4), pages 639-676, July.
    2. Mokni, Khaled & Youssef, Manel, 2019. "Measuring persistence of dependence between crude oil prices and GCC stock markets: A copula approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 14-33.
    3. Haas, Markus & Mittnik, Stefan, 2008. "Multivariate regimeswitching GARCH with an application to international stock markets," CFS Working Paper Series 2008/08, Center for Financial Studies (CFS).
    4. Kei Nakagawa & Yusuke Uchiyama, 2020. "GO-GJRSK Model with Application to Higher Order Risk-Based Portfolio," Mathematics, MDPI, vol. 8(11), pages 1-12, November.
    5. Hilde C Bjørnland & Håvard Hungnes, 2008. "The Commodity Currency Puzzle," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(2), pages 7-30, May.
    6. Dalheimer, Bernhard & Herwartz, Helmut & Lange, Alexander, 2021. "The threat of oil market turmoils to food price stability in Sub-Saharan Africa," Energy Economics, Elsevier, vol. 93(C).
    7. Bernardi, Mauro & Catania, Leopoldo, 2018. "Portfolio optimisation under flexible dynamic dependence modelling," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 1-18.
    8. Yudong Wang & Li Liu, 2016. "Crude oil and world stock markets: volatility spillovers, dynamic correlations, and hedging," Empirical Economics, Springer, vol. 50(4), pages 1481-1509, June.
    9. Ruge-Murcia, Francisco J., 2004. "The inflation bias when the central bank targets the natural rate of unemployment," European Economic Review, Elsevier, vol. 48(1), pages 91-107, February.
    10. Travkin, Alexandr, 2013. "Pair copula constructions in portfolio optimization ploblem," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 32(4), pages 110-133.
    11. Guglielmo Caporale & Luca Onorante & Paolo Paesani, 2012. "Inflation and inflation uncertainty in the euro area," Empirical Economics, Springer, vol. 43(2), pages 597-615, October.
    12. Chen, Hongtao & Liu, Li & Li, Xiaolei, 2018. "The predictive content of CBOE crude oil volatility index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 837-850.
    13. Hilde Christiane Bjørnland & Håvard Hungnes, 2002. "Fundamental determinants of the long run real exchange rate: The case of Norway," Discussion Papers 326, Statistics Norway, Research Department.
    14. 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).
    15. Taras Bodnar & Nestor Parolya & Wolfgang Schmid, 2015. "A closed-form solution of the multi-period portfolio choice problem for a quadratic utility function," Annals of Operations Research, Springer, vol. 229(1), pages 121-158, June.
    16. Saghaian, Sayed H. & Nemati, Mehdi & Walters, Cory G. & Chen, Bo, 2017. "Asymmetric Price Volatility Interaction between U.S. Food and Energy Markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258240, Agricultural and Applied Economics Association.
    17. Díaz, Antonio & Escribano, Ana & Esparcia, Carlos, 2024. "Sustainable risk preferences on asset allocation: a higher order optimal portfolio study," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    18. Yang (Greg) Hou & Mark Holmes, 2020. "Do higher order moments of return distribution provide better decisions in minimum-variance hedging? Evidence from US stock index futures," Australian Journal of Management, Australian School of Business, vol. 45(2), pages 240-265, May.
    19. Giuseppe Arbia & Riccardo Bramante & Silvia Facchinetti, 2020. "Least Quartic Regression Criterion to Evaluate Systematic Risk in the Presence of Co-Skewness and Co-Kurtosis," Risks, MDPI, vol. 8(3), pages 1-14, September.
    20. Virbickaitė, Audronė & Nguyen, Hoang & Tran, Minh-Ngoc, 2023. "Bayesian predictive distributions of oil returns using mixed data sampling volatility models," Resources Policy, Elsevier, vol. 86(PA).

    More about this item

    Keywords

    Risk And Uncertainty; Agribusiness; Demand And Price Analysis;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea22:343541. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

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