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Spillovers and portfolio optimization of agricultural commodity and global equity markets

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  • Jose Arreola Hernandez
  • Sang Hoon Kang
  • Seong-Min Yoon

Abstract

We investigate the portfolio allocation and risk contribution characteristics of agricultural commodities, and the volatility spillovers between agricultural commodities and global and regional equity markets. We draw our results by applying a directional spillover index and a nonlinear portfolio optimization method. We find that the largest transmission and reception of spillovers occur among wheat, corn and soybeans, and between sugar cane and sugar beets. All global and regional stock market indices considered most largely spillover on cotton and cocoa. The global and Americas stock market indices are most largely spillovered by corn and soybeans. Also, while the European stock market index is most largely spillovered by cotton, the Asia Pacific stock market index is most largely spillovered by wheat and coffee. The portfolio optimization shows that sugar cane, followed by wheat and corn, are the largest risk contributors to total portfolio risk, whereas, cocoa, followed by lumber and cotton, are the lowest risk contributors to total portfolio risk. Cocoa and lumber are the most desirable for investment. Implications of the results are discussed.

Suggested Citation

  • Jose Arreola Hernandez & Sang Hoon Kang & Seong-Min Yoon, 2021. "Spillovers and portfolio optimization of agricultural commodity and global equity markets," Applied Economics, Taylor & Francis Journals, vol. 53(12), pages 1326-1341, March.
    • Handle: RePEc:taf:applec:v:53:y:2021:i:12:p:1326-1341
    DOI: 10.1080/00036846.2020.1830937
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    Cited by:

    1. Zhuhua Jiang & Rim El Khoury & Muneer M. Alshater & Seong‐Min Yoon, 2024. "Impact of global macroeconomic factors on spillovers among Australian sector markets: Fresh findings from a wavelet‐based analysis," Australian Economic Papers, Wiley Blackwell, vol. 63(1), pages 78-105, March.
    2. Akyildirim, Erdinc & Cepni, Oguzhan & Pham, Linh & Uddin, Gazi Salah, 2022. "How connected is the agricultural commodity market to the news-based investor sentiment?," Energy Economics, Elsevier, vol. 113(C).
    3. Jose Arreola Hernandez & Sang Hoon Kang & Ron P. McIver & Seong-Min Yoon, 2021. "Network Interdependence and Optimization of Bank Portfolios from Developed and Emerging Asia Pacific Countries," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 613-647, December.
    4. Dejan Živkov & Suzana Balaban & Marijana Joksimović, 2022. "Making a Markowitz portfolio with agricultural commodity futures," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(6), pages 219-229.
    5. Bossman, Ahmed & Agyei, Samuel Kwaku, 2022. "Interdependence structure of global commodity classes and African equity markets: A vector wavelet coherence analysis," Resources Policy, Elsevier, vol. 79(C).
    6. Cagli, Efe Caglar & Mandaci, Pinar Evrim & Taskin, Dilvin, 2023. "The volatility connectedness between agricultural commodity and agri businesses: Evidence from time-varying extended joint approach," Finance Research Letters, Elsevier, vol. 52(C).

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