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Volatility spillover in seafood markets

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  • Dahl, Roy Endré
  • Jonsson, Erlendur

Abstract

There is a considerable body of research studying market integration in seafood, focusing on the relationship between prices. In this paper, we consider market connectedness, assessing volatility spillover between the world's three largest seafood markets, the EU, Japan and the USA, for fish and crustaceans. The data spans from 1990 to 2015, capturing a period of strong growth in the seafood trade, as both the EU and US increased their share of the global seafood trade. We find time-varying and significant spillover between all markets. The results suggest that volatility spillover originates from the net exporting market and is transmitted to the net importing markets, which is particularly evident for crustaceans, where Japan is a positive net transmitter to the EU and US. Further, we can identify several peaks in volatility spillover and relate them to events like El Niño/La Niña and to the financial crisis as a period of high volatility spillover.

Suggested Citation

  • Dahl, Roy Endré & Jonsson, Erlendur, 2018. "Volatility spillover in seafood markets," Journal of Commodity Markets, Elsevier, vol. 12(C), pages 44-59.
  • Handle: RePEc:eee:jocoma:v:12:y:2018:i:c:p:44-59
    DOI: 10.1016/j.jcomm.2017.12.005
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    Cited by:

    1. Yang, Yao & Karali, Berna, 2022. "How far is too far for volatility transmission?," Journal of Commodity Markets, Elsevier, vol. 26(C).
    2. Antonakakis, Nikolaos & Cunado, Juncal & Filis, George & Gabauer, David & de Gracia, Fernando Perez, 2023. "Dynamic connectedness among the implied volatilities of oil prices and financial assets: New evidence of the COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 114-123.
    3. Haarstad, Aleksander H. & Lavrutich, Maria & Strypet, Kristian & Strøm, Eivind, 2022. "Multi-commodity price risk hedging in the Atlantic salmon farming industry," Journal of Commodity Markets, Elsevier, vol. 25(C).
    4. Ying-Ying Shen & Zhi-Qiang Jiang & Jun-Chao Ma & Gang-Jin Wang & Wei-Xing Zhou, 2022. "Sector connectedness in the Chinese stock markets," Empirical Economics, Springer, vol. 62(2), pages 825-852, February.
    5. Lai T. Hoang & Dirk G. Baur, 2021. "Spillovers and Asset Allocation," JRFM, MDPI, vol. 14(8), pages 1-31, July.
    6. Mishra Arunendra & Kumar R Prasanth, 2021. "Agricultural commodities: An integrated approach to assess the volatility spillover and dynamic connectedness," Economics and Business Review, Sciendo, vol. 7(4), pages 28-53, December.

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    More about this item

    Keywords

    Seafood markets; Fish; Price volatility; Volatility spillover;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G1 - Financial Economics - - General Financial Markets

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