IDEAS home Printed from https://ideas.repec.org/a/ibn/ijefaa/v12y2020i8p1.html
   My bibliography  Save this article

Optimal Hedging Strategies for Natural Gas

Author

Listed:
  • Changfeng Zhou
  • Huan Cai

Abstract

This study examines the optimal hedge performance between natural gas market and crude oil, ECO, gold and US-bonds markets. To calculate optimal hedge ratios and hedging effectiveness, we apply several multivariate volatility models, namely CCC, DCC, cDCC and bayesDCC. The empirical results show that crude oil is the best asset to hedge natural gas followed by gold and ECO. This is a new result relative to the existing literature on natural gas prices. Additionally, we find that the bayesDCC model has the best performance on optimal hedge ratios (OHRs) calculation in terms of hedging effectiveness. Our findings will hold important financial risk management implications and asset portfolio for those invest in natural gas market.

Suggested Citation

  • Changfeng Zhou & Huan Cai, 2020. "Optimal Hedging Strategies for Natural Gas," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(8), pages 1-1, August.
    • Handle: RePEc:ibn:ijefaa:v:12:y:2020:i:8:p:1
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijef/article/download/0/0/43062/45058
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/ijef/article/view/0/43062
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gian Piero Aielli, 2013. "Dynamic Conditional Correlation: On Properties and Estimation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 282-299, July.
    2. van Goor, Harm & Scholtens, Bert, 2014. "Modeling natural gas price volatility: The case of the UK gas market," Energy, Elsevier, vol. 72(C), pages 126-134.
    3. Nick, Sebastian & Thoenes, Stefan, 2014. "What drives natural gas prices? — A structural VAR approach," Energy Economics, Elsevier, vol. 45(C), pages 517-527.
    4. Wang, TianTian & Zhang, Dayong & Clive Broadstock, David, 2019. "Financialization, fundamentals, and the time-varying determinants of US natural gas prices," Energy Economics, Elsevier, vol. 80(C), pages 707-719.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Živkov, Dejan & Balaban, Suzana & Simić, Milica, 2024. "Hedging gas in a multi-frequency semiparametric CVaR portfolio," Research in International Business and Finance, Elsevier, vol. 67(PA).

    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. Li, Yan & Chevallier, Julien & Wei, Yigang & Li, Jing, 2020. "Identifying price bubbles in the US, European and Asian natural gas market: Evidence from a GSADF test approach," Energy Economics, Elsevier, vol. 87(C).
    2. Halser, Christoph & Paraschiv, Florentina & Russo, Marianna, 2023. "Oil–gas price relationships on three continents: Disruptions and equilibria," Journal of Commodity Markets, Elsevier, vol. 31(C).
    3. Palma, Alessia & Paltrinieri, Andrea & Goodell, John W. & Oriani, Marco Ercole, 2024. "The black box of natural gas market: Past, present, and future," International Review of Financial Analysis, Elsevier, vol. 94(C).
    4. Theodosios Perifanis & Athanasios Dagoumas, 2020. "Price and Volatility Spillovers between Crude Oil and Natural Gas markets in Europe and Japan-Korea," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 432-446.
    5. Wang, Tiantian & Qu, Wan & Zhang, Dayong & Ji, Qiang & Wu, Fei, 2022. "Time-varying determinants of China's liquefied natural gas import price: A dynamic model averaging approach," Energy, Elsevier, vol. 259(C).
    6. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2016. "The behaviour mechanism analysis of regional natural gas prices: A multi-scale perspective," Energy, Elsevier, vol. 101(C), pages 266-277.
    7. 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.
    8. Szafranek Karol & Rubaszek Michał, 2024. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 507-530.
    9. Wang, Lu & Wang, Xing & Liang, Chao, 2024. "Natural gas volatility prediction via a novel combination of GARCH-MIDAS and one-class SVM," The Quarterly Review of Economics and Finance, Elsevier, vol. 98(C).
    10. Wang, Tiantian & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020. "Market reforms and determinants of import natural gas prices in China," Energy, Elsevier, vol. 196(C).
    11. Akcora, Begum & Kandemir Kocaaslan, Ozge, 2023. "Price bubbles in the European natural gas market between 2011 and 2020," Resources Policy, Elsevier, vol. 80(C).
    12. Shen, Yiran & Sun, Xiaolei & Ji, Qiang & Zhang, Dayong, 2023. "Climate events matter in the global natural gas market," Energy Economics, Elsevier, vol. 125(C).
    13. Xie, Gang & Jiang, Fuxin & Zhang, Chengyuan, 2023. "A secondary decomposition-ensemble methodology for forecasting natural gas prices using multisource data," Resources Policy, Elsevier, vol. 85(PA).
    14. Akhtaruzzaman, Md & Boubaker, Sabri & Lucey, Brian M. & Sensoy, Ahmet, 2021. "Is gold a hedge or a safe-haven asset in the COVID–19 crisis?," Economic Modelling, Elsevier, vol. 102(C).
    15. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    16. Dukhanina, Ekaterina & Massol, Olivier & Lévêque, François, 2019. "Policy measures targeting a more integrated gas market: Impact of a merger of two trading zones on prices and arbitrage activity in France," Energy Policy, Elsevier, vol. 132(C), pages 583-593.
    17. Natalia Turdyeva, 2020. "Effects of Terms of Trade Shocks on the Russian Economy," Russian Journal of Money and Finance, Bank of Russia, vol. 79(2), pages 43-69, June.
    18. Francq, Christian & Zakoian, Jean-Michel, 2014. "Estimating multivariate GARCH and stochastic correlation models equation by equation," MPRA Paper 54250, University Library of Munich, Germany.
    19. Gautam, Tej K. & Paudel, Krishna P., 2018. "The demand for natural gas in the Northeastern United States," Energy, Elsevier, vol. 158(C), pages 890-898.
    20. Jochen Güntner & Magnus Reif & Maik Wolters, 2024. "Sudden stop: Supply and demand shocks in the German natural gas market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1282-1300, November.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijefaa:v:12:y:2020:i:8:p:1. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.