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Measuring bulk shipping prices risk

Author

Listed:
  • Javier Población

    (D.G.A. Supervisión, Banco de España)

  • Gregorio Serna

    (Universidad de Alcalá)

Abstract

In this paper, we study the risk management implications of different assumptions about the stationarity of freight rates. Specifically, we compare freight rate volatility estimations derived from two different two-factor models; a stationary and a non-stationary one. Based on these volatility estimations, we provide a simple method for estimating the value at risk, VaR, for a single route. The results indicate that when using the non-stationary model, risk managers may overestimate risk, since VaR estimations grow monotonically over time, whereas when using the stationary model, they may underestimate the risk, because VaR estimations are bounded. We also provide estimations of the freight rates option prices based on these two models. Option prices tend to be higher when using the non-stationary model. Finally, we provide a Monte-Carlo simulation method for jointly estimating the VaRs for two routes based on a two-factor model with a common long-term trend, which allows risk managers to take advantage of the benefits of diversification.

Suggested Citation

  • Javier Población & Gregorio Serna, 2021. "Measuring bulk shipping prices risk," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 291-309, June.
    • Handle: RePEc:pal:marecl:v:23:y:2021:i:2:d:10.1057_s41278-019-00129-3
    DOI: 10.1057/s41278-019-00129-3
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    References listed on IDEAS

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    1. Wessam Abouarghoub & Iris Biefang-Frisancho Mariscal & Peter Howells, 2013. "A two-state Markov-switching distinctive conditional variance application for tanker freight returns," Working Papers 20131314, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    2. Eduardo Schwartz & James E. Smith, 2000. "Short-Term Variations and Long-Term Dynamics in Commodity Prices," Management Science, INFORMS, vol. 46(7), pages 893-911, July.
    3. Christos Argyropoulos & Ekaterini Panopoulou, 2018. "Measuring the market risk of freight rates: A forecast combination approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(2), pages 201-224, March.
    4. Gonzalo Cortazar & Carlos Milla & Felipe Severino, 2008. "A multicommodity model of futures prices: Using futures prices of one commodity to estimate the stochastic process of another," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(6), pages 537-560, June.
    5. Kavussanos, Manolis G. & Dimitrakopoulos, Dimitris N., 2011. "Market risk model selection and medium-term risk with limited data: Application to ocean tanker freight markets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 258-268.
    6. Kavussanos, Manolis G. & Alizadeh-M, Amir H., 2002. "Seasonality patterns in tanker spot freight rate markets," Economic Modelling, Elsevier, vol. 19(5), pages 747-782, November.
    7. Halbleib, Roxana & Pohlmeier, Winfried, 2012. "Improving the value at risk forecasts: Theory and evidence from the financial crisis," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1212-1228.
    8. Javier Poblacion, 2015. "The stochastic seasonal behavior of freight rate dynamics," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 17(2), pages 142-162, June.
    9. Jostein Tvedt, 2003. "A new perspective on price dynamics of the dry bulk market," Maritime Policy & Management, Taylor & Francis Journals, vol. 30(3), pages 221-230, July.
    10. Andr�s Garc�a Mirantes & Javier Población & Gregorio Serna, 2012. "Analyzing the dynamics of the refining margin: implications for valuation and hedging," Quantitative Finance, Taylor & Francis Journals, vol. 12(12), pages 1839-1855, December.
    11. Andrés García Mirantes & Javier Población & Gregorio Serna, 2012. "The Stochastic Seasonal Behaviour of Natural Gas Prices," European Financial Management, European Financial Management Association, vol. 18(3), pages 410-443, June.
    12. Carsten Sørensen, 2002. "Modeling seasonality in agricultural commodity futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 22(5), pages 393-426, May.
    13. Timotheos Angelidis & George Skiadopoulos, 2008. "Measuring The Market Risk Of Freight Rates: A Value-At-Risk Approach," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 11(05), pages 447-469.
    14. Javier Población & Gregorio Serna, 2018. "A common long-term trend for bulk shipping prices," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(3), pages 421-432, September.
    15. Dempster, M.A.H. & Medova, Elena & Tang, Ke, 2008. "Long term spread option valuation and hedging," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2530-2540, December.
    16. Javier Población, 2017. "Are recent tanker freight rates stationary?," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(4), pages 650-666, December.
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