Developing a logit model for the provision of the process of managing the conclusion of voyage chartering transactions
DOI:
https://doi.org/10.15587/1729-4061.2016.85233Keywords:
logit model, chartering, voyage charter, success, evaluation, transaction, freight rateAbstract
A balance of interests between the parties and possible risks, linked to the set of conditions of a voyage charter, reflected in the offer, predetermines the success of concluding a freight transaction between a ship-owner and a charterer.
A mathematical basis for the formalization of the decision-making process regarding a transaction, based on the set of conditions, are the models of binary choice, the experience of using which in different areas of activity is analyzed.
A logit model was developed for evaluating the success of the conclusion of the voyage chartering transaction based on the example of a particular market segment. The logit model evaluates probability of concluding a voyage chartering transaction based on the set of values, which correspond to quantitative conditions of the offer (for example, demurrage, level of the freight rate, intensity of cargo operations, interval of time of vessel delivery). We established by empirical way a boundary value of the probability, obtained by the logit model, which predermines the existence of balance of interests between the parties and the possibility of the conclusion of transaction under the given conditions.
An empirical verification of the obtained logit model demonstrated the share of erroneous conclusions, which may be considered acceptable (less than 5 %), that predetermines its theoretical and practical significance.
We developed a procedure for the application of the logit model in the activity of freight brokers for analysis of information from the offers and preparation of the substantiated recommendations to the parties involved to reach the balance of interests under existing market conditions.
References
- Onyshchenko, S. P., Koskina, Yu. O. (2015). Research of the effect of terms and conditions of an offer on successful conclusion of the freight transaction. Eastern-European Journal of Enterprise Technologies, 6 (3(78)), 25–32. doi: 10.15587/1729-4061.2015.55738
- Elven, R. (2013). Time Charter Contracts in the Shipping Industry. A Fair Valuation Perspective Aarhus University, Business and Social Sciences, 85.
- Adland, R., Cariou, P., Wolff, F.-C. (2016). The influence of charterers and owners on bulk shipping freight rates. Transportation Research Part E: Logistics and Transportation Review, 86, 69–82. doi: 10.1016/j.tre.2015.11.014
- Adland, R., Cullinane, K. (2005) A Time-Varying Risk Premium in the Term Structure of Bulk Shipping Freight Rates. Journal of Transport Economics & Policy, 39, 191–208.
- Koekebakker, S., Adland, R. O., Sodal, S. (2006). Are spot freight rates stationary? Journal of Transport Economics and Policy, 40 (3), 449–472.
- Adland, R., Cullinane, K. (2006). The non-linear dynamics of spot freight rates in tanker markets. Transportation Research Part E: Logistics and Transportation Review, 42 (3), 211–224. doi: 10.1016/j.tre.2004.12.001
- Borger, B., Nonneman, W. (1981). Statistical cost functions for dry bulk carries. Journal of Transport Economics and Policy, 15 (2), 155–165.
- Alizadeh, A. H., Talley, W. K. (2010). Microeconomic determinants of dry bulk shipping freight rates and contract times. Transportation, 38 (3), 561–579. doi: 10.1007/s11116-010-9308-7
- Onishchenko, S. P. (2009). Modelirovanie processov organizacii i funkcionirovaniya sistemy marketinga morskih transportnyh predpriyatij. Odesa: «Feniks», 328.
- Hosmer, D., Lemeshow, S. (2000). Applied Logistic Regression (Second Edition). New York: John Wiley & Sons, Inc.
- King, G. (1989). Unifying Political Methodology: The Likelihood Theory of Statistical Inference. Cambridge University Press, 288.
- King, G., Keohane, R. O., Verba, S. (1994). Designing Social Inquiry: Scientific Inference in Qualitative Research. Princeton University Press, 264.
- Williams, R. (2010). Generalized Ordered Logit Models Midwest Sociological Meetings. Chicago.
- Buis, M. L., Stata, J. (2010.) Direct and indirect effects in a logit model. Winter, 10 (1), 11–29.
- Albert, J. H., Chib, S. (1993). Bayesian Analysis of Binary and Polychotomous Response Data. Journal of the American Statistical Association, 88 (422), 669–679. doi: 10.1080/01621459.1993.10476321
- Fan, L., Luo, M. (2013). Analyzing ship investment behaviour in liner shipping. Maritime Policy & Management, 40 (6), 511–533. doi: 10.1080/03088839.2013.776183
- Luo, M., Fanm L. Х. (2011). Determinants of Container Ship Investment Decision and Ship Choice. International Forum on Shipping, Ports and Airports (IFSPA) 2010 – Integrated Transportation Logistics: From Low Cost to High Responsibility, 449–461.
- Veldman, S., Garcia-Alonso, L., Liu, M. (2015). Testing port choice models using physical and monetary data: a comparative case study for the Spanish container trades. Maritime Policy & Management, 43 (4), 495–508. doi: 10.1080/03088839.2015.1099754
- Klieštik, T., Kočišová, K., Mišanková, M. (2015). Logit and Probit Model used for Prediction of Financial Health of Company. Procedia Economics and Finance, 23, 850–855. doi: 10.1016/s2212-5671(15)00485-2
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2016 Svitlana Onyshсhenko, Yulіia Koskina, Iryna Savelieva
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.