Shipping markets in turmoil: An analysis of the Covid-19 outbreak and its implications
Open accessAbstract
In the current study, we examine, for the first time in the literature, the impact of exogenous effects in the shipping industry by employing data from the recent Covid-19 pandemic outbreak and explore the reactions of freight rates for dry bulk, clean, and dirty tankers. Our results, using both GARCH (1,1) and VAR specifications, suggest that such events are directly affecting the dry bulk and the dirty tanker segments. In addition, the results also suggest that second round effects, mostly via the decline in oil prices and, in some cases, third round effects via the impact from the stock market, also exist. Finally, by employing daily port calls a proxy variable for the demand for transportation services, we show that both the dry bulk and clean tankers are highly affected by the demand side of the economy, while vessels which transport crude oil do not register such a relationship.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the first half of 2020, about 10% of the crude tanker fleet and 9% of the products fleet were used for floating storage.
“The first half of 2020 saw about 10% of the crude tanker fleet and 9% of the products fleet being used for floating storage due to the oil market dynamics, causing a significant spike in tanker markets.”
From Challenges and Security Risks in the Red Sea: Impact of Houthi Attacks on Maritime Traffic (2024) · cites this paper as [76]
Section 4 (p. 4) says tankers served as floating storage during the coronavirus crisis and that lower oil prices can raise tanker freight rates. It reports a 37% increase in floating-storage volumes over two months, but does not give the claimed 10% crude-tanker or 9% products-fleet shares for the first half of 2020. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Pathological findings of COVID-19 associated with acute respiratory distress syndrome
Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., Liu, S., Zhao, P., Liu, H., Zhu, L., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30076-x · Cited by 8,545 · see citing works
Flagged first, then by citations
Research works printed but not linked: 42
- Alexander, C. (Economist), 2008. Market risk analysis. Volume 2, Practical Financial Econometrics. Wiley.
- Alexandrou, G., Gounopoulos, D., Thomas, H.M., 2014. Mergers and acquisitions in shipping. Transp. Res. Part E Logist. Transp. Rev. 61, 212 -234. https://doi.org/10.1016/j. tre.2013.11.007. · DOI
- Andersen, T.G., Bollerslev, T., 1998. Answering the skeptics: yes, standard volatility models do provide accurate forecasts. Int. Econ. Rev. (Philadelphia) 39, 885. https://doi.org/ 10.2307/2527343. · DOI
- Angelopoulos, J., Sahoo, S., Visvikis, I.D., 2020. Commodity and transportation economic market interactions revisited: new evidence from a dynamic factor model. Transp. Res. Part E Logist. Transp. Rev. 133, 101836. https://doi.org/10.1016/j.tre.2019.101836. · DOI
- Atkeson, A., 2020. What will be the economic impact of COVID-19 in the US? Rough estimates of disease scenarios. NBER Work. Pap. Ser vol. 25. https://doi.org/10.3386/ w26867.
- Baltic Exchange, 2020. Guide to Market Benchmarks. London. http://refhub.elsevier.com/S2590-1982(2030089-0/rf0025)
- Bollerslev, T., 1986. Generalized autoregressive conditional heteroskedasticity. J. Econ. 31, 307 -327. https://doi.org/10.1016/0304-4076(86)90063-1. · DOI
- Campbell, J.Y., Lo, A.W., Andrew, W.-C., MacKinlay, A.C., 1997. The Econometrics of Financial Markets. Princeton University Press.
- Drobetz, W., Schilling, D., Tegtmeier, L., 2010. Common risk factors in the returns of shipping stocks. Marit. Policy Manag. 37, 93 -120. https://doi.org/10.1080/03088830903533726. · DOI
- Erdogan, O., Tata, K., Karahasan, B.C., Sengoz, M.H., 2013. Dynamics of the co-movement between stock and maritime markets. Int. Rev. Econ. Financ. 25, 282 -290. https://doi.org/ 10.1016/j.iref.2012.07.007. · DOI
- Gavriilidis, K., Kambouroudis, D.S., Tsakou, K., Tsouknidis, D.A., 2018. Volatility forecasting across tanker freight rates: the role of oil price shocks. Transp. Res. Part E Logist. Transp. Rev. 118, 376 -391. https://doi.org/10.1016/J.TRE.2018.08.012. · DOI
- Gazola, L., Fernandes, C., Pizzinga, A., Riera, R., 2008. The log-periodic-AR(1)-GARCH(1,1) model for fi nancial crashes. Eur. Phys. J. B 61, 355 -362. https://doi.org/10.1140/ epjb/e2008-00085-1.
- Gong, Y., Li, K.X., Chen, S.L., Shi, W., 2020. Contagion risk between the shipping freight and stock markets: evidence from the recent US-China trade war. Transp. Res. Part E Logist. Transp. Rev. 136, 101900. https://doi.org/10.1016/j.tre.2020.101900. · DOI
- Grammenos, C.T., Arkoulis, A.G., 2002. Macroeconomic factors and international shipping stock returns. Int. J. Marit. Econ. 4, 81 -99. https://doi.org/10.1057/palgrave.ijme.9100033. · DOI
- Grant, W.B., Giovannucci, E., 2009. The possible roles of solar ultraviolet-B radiation and vitamin D in reducing case-fatality rates from the 1918 -1919 in fl uenza pandemic in the United States. Dermatoendocrinol 1, 215 -219. https://doi.org/10.4161/derm.1.4.9063. · DOI
- Hamilton, J., 2008. Macroeconomics and ARCH. Cambridge, MA. https://doi.org/10.3386/ w14151.
- Hansen, P.R., Lunde, A., 2005. A forecast comparison of volatility models: does anything beat a GARCH(1,1)? J. Appl. Econ. 20, 873 -889. https://doi.org/10.1002/jae.800. · DOI
- Jarque, C.M., Bera, A.K., 1980. Ef fi cient tests for normality, homoscedasticity and serial independence of regression residuals. Econ. Lett. 6, 255 -259. https://doi.org/10.1016/01651765(80)90024-5. · DOI
- Javaheri, A., Wilmott, P., Haug, E.G., 2004. GARCH and volatility swaps. Quant. Financ. 4, 589 -595. https://doi.org/10.1080/14697680400008700. · DOI
- Johansen, S., Juselius, K., 1990. Maximum likelihood estimation and inference on cointegration -with applications to the demand for money. Oxf. Bull. Econ. Stat. 52, 169 -210. https://doi.org/10.1111/j.1468-0084.1990.mp52002003.x. · DOI · Paper page
- Kavussanos, M.G., Visvikis, I.D., 2016. The International Handbook of Shipping Finance, Theory and Practice. 1st ed. Palgrave Macmillan, London, UK. http://refhub.elsevier.com/S2590-1982(2030089-0/rf0100)
- Kavussanos, M.G., Visvikis, I.D., Dimitrakopoulos, D.N., 2014. Economic spillovers between related derivatives markets: the case of commodity and freight markets. Transp. Res. Part E Logist. Transp. Rev. 68, 79 -102. https://doi.org/10.1016/j.tre.2014.05.003. · DOI
- Kothari, S.P., Warner, J.B., 2007. Econometrics of event studies. Handbook of Empirical Corporate Finance SET. Elsevier, pp. 3 -36 https://doi.org/10.1016/B978-0-444-532657.50015-9. · DOI
- Lau, H., Khosrawipour, V., Kocbach, P., Mikolajczyk, A., Schubert, J., Bania, J., Khosrawipour, T., 2020. The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China. J. Travel Med. https://doi.org/10.1093/jtm/taaa037. · DOI · Paper page
- Liu, Y., Gayle, A.A., Wilder-Smith, A., Rocklöv, J., 2020. The reproductive number of COVID19 is higher compared to SARS coronavirus. J. Travel Med. 27. https://doi.org/10.1093/ jtm/taaa021.
- Marín, P.L., Sicotte, R., 2003. Exclusive contracts and market power: evidence from ocean shipping. J. Ind. Econ. 51, 193 -214. https://doi.org/10.1111/1467-6451.00198. · DOI
- Michail, N.A., 2019. Examining the stability of Okun ' s coef fi cient. Bull. Econ. Res. 71, 240 -256. https://doi.org/10.1111/boer.12157. · DOI
- Michail, N.A., 2020. World economic growth and seaborne trade volume: quantifying the relationship. Transp. Res. Interdiscip. Perspect. 100108. https://doi.org/10.1016/J. TRIP.2020.100108. · DOI
- Panayides, P.M., Gong, X., 2002. The stock market reaction to merger and acquisition announcements in liner shipping. Int. J. Marit. Econ. 4, 55 -80. https://doi.org/10.1057/ palgrave.ijme.9100030.
- Ramelli, S., Wagner, A.F., 2020. Feverish Stock Price Reactions to COVID-19, CEPR Discussion Paper No. DP14511. SSRN Electron. J.
- Regli, F., Adland, R., 2019. Crude oil contango arbitrage and the fl oating storage decision. Transp. Res. Part E Logist. Transp. Rev. 122, 100 -118. https://doi.org/10.1016/j. tre.2018.11.007. · DOI
- Rothan, H.A., Byrareddy, S.N., 2020. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. J. Autoimmun. 109, 102433. https://doi.org/10.1016/J. JAUT.2020.102433. · DOI
- Samitas, A.G., Kenourgios, D.F., 2007. Impact of mergers and acquisitions on stock returns of tramp shipping fi rms. Int. J. Financ. Serv. Manag. 2, 327. https://doi.org/10.1504/ ijfsm.2007.016288.
- Sims, C.A., 1980. Macroeconomics and reality. Econometrica 48 (1). https://doi.org/ 10.2307/1912017. · DOI
- Sohrabi, C., Alsa fi , Z., O ' Neill, N., Khan, M., Kerwan, A., Al-Jabir, A., Iosi fi dis, C., Agha, R., 2020. World health organization declares global emergency: a review of the 2019 novel coronavirus (COVID-19). Int. J. Surg. 76, 71 -76. https://doi.org/10.1016/j. ijsu.2020.02.034. · DOI
- Stock, J.H., 1987. Measuring business cycle time. J. Polit. Econ. 95, 1240 -1261. https://doi. org/10.1086/261513. · DOI
- Stopford, M., 2013. Maritime Economics. 3rd ed. Maritime EconomicsRoutledge, New York https://doi.org/10.4324/9780203442661. · DOI
- Syriopoulos, T., Theotokas, I., 2007. Value creaiton through corporate destruction? Corporate governance in shipping takeovers. Marit. Policy Manag. 34, 225 -242. https://doi.org/ 10.1080/03088830701342973. · DOI
- Theodossiou, P., Tsouknidis, D.A., Savva, C.S., 2020. Freight rates in downside and upside markets: pricing of own and spillover risks from other shipping segments. J. R. Stat. Soc. Ser. A https://doi.org/10.2139/ssrn.3514142. · DOI
- UNCTAD, 2019. Review of Maritime Transport 2019, Review of Maritime Transport. New York. https://doi.org/10.18356/d4f1aa11-en. · DOI
- Zhang, T., Wu, Q., Zhang, Z., 2020. Probable pangolin origin of SARS-CoV-2 associated with the COVID-19 outbreak. Curr. Biol. 30, 1346 -1351.e2. https://doi.org/10.1016/J. CUB.2020.03.022. · DOI
- Zis, T.P.V., Cullinane, K., 2020. The desulphurisation of shipping: past, present and the future under a global cap. Transp. Res. Part D Transp. Environ. 82, 102316. https://doi.org/ 10.1016/j.trd.2020.102316. · DOI
Cited by
Sorted by citations
Challenges and Security Risks in the Red Sea: Impact of Houthi Attacks on Maritime Traffic
Rodriguez-Diaz, E., Alcaide, J. I., & Garcia-Llave, R. (2024) · Journal of Marine Science and Engineering · doi:10.3390/jmse12111900 · Cited by 28 · see citing works
- Authors
- Michail, N. A., & Melas, K. D.
- Affiliations
- Central Bank of Cyprus (CY)
- Venue
- Transportation Research Interdisciplinary Perspectives
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 7
- Pages
- 100178
- ISSN
- 2590-1982 (ISSN-L)
- PMC
- PMC7381896
- OpenAlex
- W3045453754
- Cited by
- 162
- References
- 1
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 35 · 2023: 28 · 2022: 30 · 2021: 36 · 2020: 4
- FWCI
- 20.83
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Transportation Research Interdisciplinary Perspectives (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Ktisis at Cyprus University of Technology (Cyprus University of Technology) (submittedVersion, cc-by-nc-nd)
- SSRN Electronic Journal (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Market Dynamics and Volatility
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Maritime Ports and Logistics
- Keywords
- shipping market, COVID-19 pandemic, freight rates, dry bulk shipping, tanker shipping, crude oil tankers, oil prices, stock market effects, port calls, travel demand, external shocks, GARCH, vector autoregression
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review