Journals / Journal of Eta Maritime Science / 2018 / Cilt: 6 - Sayı: 3

Efficiency in Dirty Tanker Market

Kirli Tanker Piyasasında Etkinlik

Pages
275–287
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This situation makes it possible to obtain excessprofits using past data and some trading strategies.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The maritime industry is highly capital intensive.
📊
Key Findings & Data:In this direction, the daily values of the 1-year times charter ratesof Aframax, Suezmax and VLCC ship types were used and the efficiencies of these three sub marketswere tested using the Brock, Dechert and Scheinkman (BDS) independence test.
💡
Conclusion & Impact:This situation makes it possible to obtain excessprofits using past data and some trading strategies.
🔬Design:Research Article
📍Scope:2005 Verileri
⚙️Variables:Domain Parameters

Abstract

The maritime industry is highly capital intensive. From this point of view, it is very important that thereturn of the investments made is healthy. This can be achieved by efficiency of the freight market.The aim of this study is to contribute to the literature by testing the efficiency of the dirty tankerfreight market used for the transportation of crude oil, which still has a great demand in the worldeconomy, using an alternative test. In this direction, the daily values of the 1-year times charter ratesof Aframax, Suezmax and VLCC ship types were used and the efficiencies of these three sub marketswere tested using the Brock, Dechert and Scheinkman (BDS) independence test. The data set coveringthe years 2005 and 2017 and consisting of 663 observations per ship type on a weekly basis was used.As a result of the study, it is determined that the dirty tanker market does not exhibit random walk,in other words, does not have the characteristics of the Efficient Market Hypothesis (EMH), and thatthe time charter rates are related to their past values. This situation makes it possible to obtain excessprofits using past data and some trading strategies.

Özet

Denizcilik sektörü oldukça sermaye yoğun bir sektördür. Bu açıdan yapılan yatırımların karşılığının sağlıklı bir şekilde geri dönmesi oldukça önemlidir. Bu da navlun piyasasının etkin olmasıyla sağlanabilir. Bu çalışmanın amacı, dünya ekonomisinde hala büyük bir talep gören ham petrolün taşımacılığında kullanılan kirli tanker navlun piyasasının etkinliğini alternatif bir test kullanarak test ederek literature katkıda bulunmaktır. Bu doğrultuda Aframax, Suezmax ve VLCC gemi tiplerinin 1 yıllık zaman kiralama bedellerinin günlük değerleri kullanılmıştır ve bu üç alt piyasanın etkinlikleri test edilmiştir. 2005 ve 2017 yıllarını kapsayan ve haftalık bazda her gemi türü için 663’er gözlemden oluşan veri seti kullanılmıştır. Veri seti Brock, Dechert ve Scheinkman (BDS) bağımsızlık testi kullanılarak analiz edilmiştir. Çalışmanın sonucunda kirli tanker piyasasının rassal yürüyüş sergilemediği, başka bir deyişle Etkin Piyasa Hipotezi (EPH) özelliklerine sahip olmadığı ve zaman kiralama bedeli değerlerinin geçmiş değerleriyle aralarında bir bağlantı olduğu tespit edilmiştir. Bu durum, geçmiş verilerin ve bazı stratejilerin kullanılarak olağanüstü karlar elde edilebilmesini mümkün kılmaktadır.

🔖

Cite This Article

BAŞER, S. Ö., AÇIK, A. (2022). Efficiency in Dirty Tanker Market. Journal of Eta Maritime Science, Cilt: 6 - Sayı: 3, 275–287. https://ajindex.com/articles/562856

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Kuleyin, B., & Cerit, A. G. (2017). Turkish Seaborne Trade and The Effects of the Strategic Developments in The International Energy and Transport Corridors; A Qualitative Research. Journal of ETA Maritime Science, 5(2): 120-138
  2. Carmalt, S. W. (2017). The Economics of Oil: A Primer Including Geology, Energy, Economics, Politics. Springer
  3. Lun, Y. V., Hilmola, O. P.,Goulielmos, A. M., Lai, K. H. and Cheng, T. E. (2012). Oil Transport Management. Springer Science & Business Media
  4. Stopford, M. (2009). Maritime Economics. Routledge, New York [5] Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. Journal of Finance, 25(2): 373–417
  5. Engelen, S., Dullaert, W.andVernimmen, B. (2009). Market Efficiency within Dry Bulk Markets in The Short Run: A Multi-Agent System Dynamics Nash Equilibrium. Maritime Policy & Management: The Flagship Journal of International Shipping and Port Research, 36(5): 385-396
  6. Adland, R.and Strandenes, S. (2006). Market Efficiency in The Bulk Freight Market Revisited.Maritime Policy & Management: The Flagship Journal of International Shipping and Port Research, 33(2): 107-117
  7. Adland, R. amdKoekebakker, S. (2004). Market Efficiency in the Second-hand Market for Bulk Ships. Maritime Economics & Logistics, 6: 1–15
  8. Fearnley Weekly Review. (2018). 1 Year Time Charter Earnings. Access Date: 20.02.2018, https://www. fearnleys.com/weekly-research
  9. Brock, W. A., Dechert, W. D. and Scheinkman, J. A. (1987). A Test for Independence Based On the Correlation Dimension, Manuscript, Social Systems Research Unit, University of Wisconsin
  10. Alizadeh, A. H., and N. K. Nomikos. 2007. Investment Timing and Trading Strategies in the Sale and Purchase Market for Ships.Transportation Research Part B: Methodological, 41(1): 126–143
  11. Tsioumas, V. and Papadimitriou, S. (2015). Excess Returns in The Spot Market for Bulk Carriers. Maritime Economics & Logistics, 17(4): 399- 415
  12. Nomikos, N. and K. Doctor. (2013). Market Timing Strategies in the Freight Derivatives Market.Transportation Research Part E: Logistics and Transportation Review, 52: 77–93
  13. Açık, A. and Başer, S. Ö. (2018). Is Baltic Dry Index Efficient?.Journal of Yasar University, 13(50):140–149
  14. Brooks, C. (2014). Introductory Econometrics for Finance. Cambridge University Press
  15. Broock, W. A., Scheinkman, J. A., Dechert, W. D. and LeBaron, B.(1996). A Test for Independence Based on the Correlation Dimens