Agric. Econ. - Czech, 2022, 68(3):87-96 | DOI: 10.17221/298/2021-AGRICECON
Measuring the risk-adjusted performance of selected soft agricultural commoditiesOriginal Paper
- 1 Novi Sad School of Business, University of Novi Sad, Novi Sad, Serbia
- 2 Institute of Agricultural Economics, Belgrade, Serbia
In this paper, we used several elaborate return-to-risk methods to investigate the risk-adjusted performances of five soft commodities. Regarding only the level of risk, we found that cocoa had the highest risk of losses, followed by orange juice. Cotton and coffee had the lowest risk of losses. However, according to the return-to-risk output, cotton was the worst asset in which to invest because it had negative average returns. In contradistinction, sugar had a relatively high risk of losses but also the highest average returns, which put it in the first place according to the Sharpe, Sortino and modified Sharpe ratios. Although orange juice had the second-worst downside risk performance, it came in second place according to the return-to-risk ratio because it had relatively high average returns.
Keywords: conditional volatility model; downside risk; return-to-risk methods
Published: March 17, 2022 Show citation
References
- Altun E., Alizadeh M., Ozel G., Tatlidil H., Maksayi N. (2017): Forecasting value-at-risk with two-step method: GARCH-exponentiated odd log-logistic normal model. Romanian Journal of Economic Forecasting, 20: 97-115.
- Babirath J., Malec K., Schmitl R., Sahatqija J., Maitah M., Kotaskova S.K., Maitah K. (2021): Sugar futures as an investment alternative during market turmoil: Case study of 2008 and 2020 market drop. Sugar Tech, 23: 296-307.
Go to original source...
Go to PubMed...
- Cavenaile L., Lejeune T. (2012): A note on the use of the modified value-at-risk. Journal of Alternative Investments, 14: 79-83.
Go to original source...
- El Ghourabi M., Nani A., Gammoudi I. (2020): A value-at-risk computation based on heavy-tailed distribution for dynamic conditional score models. International Journal of Finance and Economics, 26: 2790-2799.
Go to original source...
- Favre L., Galeano J.A. (2002): Mean-modified value-at-risk optimization with hedge funds. Journal of Alternative Investments, 5: 21-25.
Go to original source...
- Gregoriou G.N., Gueyie J.P. (2003): Risk-adjusted performance of funds of hedge funds using a modified Sharpe ratio. Journal of Wealth Management, 6: 77-83.
Go to original source...
- Guth M., Smedzik-Ambrozy K. (2020): Economic resources versus the efficiency of different types of agricultural production in regions of the European Union. Economic Research - Ekonomska Istraživanja, 33: 1036-1051.
Go to original source...
- He Y., Nakajima T., Hamori S. (2020): Can BRICS's currency be a hedge or a safe haven for energy portfolio? An evidence from vine copula approach. Singapore Economic Review, 65: 805-836.
Go to original source...
- Investing.com (2021): US Cotton #2 Futures - May 22 (CTK2). [Dataset]. Investing.com, Fusion Media Limited. Available at https://www.investing.com/commodities/uscotton-no.2 (accessed July, 2021).
- Janzen J.P., Smith A., Carter C.A. (2018): Commodity price comovement and financial speculation: The case of cotton. American Journal of Agricultural Economics, 100: 264-285.
Go to original source...
- Palanska T. (2020): Measurement of volatility spillovers and asymmetric connectedness on commodity and equity markets. Finance a úvěr - Czech Journal of Economics and Finance, 70: 42-69.
- Sharpe W.F. (1966): Mutual fund performance. Journal of Business, 39: 119-138.
Go to original source...
- Sortino F.A., Price L.N. (1994): Performance measurement in a downside risk framework. Journal of Investing, 3: 59-64.
Go to original source...
- Treynor J.L. (1965): How to rate management investment funds. Harvard Business Review, 43: 63-75.
- Vuta M., Cioaca S.I., Vuta M., Sgardea F.M. (2019): A financial-economic assessment of the food security in the European Union. Economic Computation and Economic Cybernetics Studies and Research, 53: 185-202.
Go to original source...
- Živkov D., Njegić J., Pavlović J. (2016): Dynamic correlation between stock returns and exchange rate and its dependence on the conditional volatilities - The case of several Eastern European countries. Bulletin of Economic Research, 68: 28-41.
Go to original source...
- Živkov D., Joksimović M., Balaban S. (2021): Measuring parametric and semiparametric downside risk of the selected agricultural commodities. Agricultural Economics (Zemědělská ekonomika), 67: 305-315.
Go to original source...
This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.