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Legal and Economic Analysis of Tramp Maritime Services
EU Report COMP/2006/D2/002 LEGAL AND ECONOMIC ANALYSIS OF TRAMP MARITIME SERVICES Submitted to: European Commission Competition Directorate-General (DG COMP) 70, rue Joseph II B-1000 BRUSSELS Belgium For the Attention of Mrs Maria José Bicho Acting Head of Unit D.2 "Transport" Prepared by: Fearnley Consultants AS Fearnley Consultants AS Grev Wedels Plass 9 N-0107 OSLO, Norway Phone: +47 2293 6000 Fax: +47 2293 6110 www.fearnresearch.com In Association with: 22 February 2007 LEGAL AND ECONOMIC ANALYSIS OF TRAMP MARITIME SERVICES LEGAL AND ECONOMIC ANALYSIS OF TRAMP MARITIME SERVICES DISCLAIMER This report was produced by Fearnley Consultants AS, Global Insight and Holman Fenwick & Willan for the European Commission, Competition DG and represents its authors' views on the subject matter. These views have not been adopted or in any way approved by the European Commission and should not be relied upon as a statement of the European Commission's or DG Competition's views. The European Commission does not guarantee the accuracy of the data included in this report, nor does it accept responsibility for any use made thereof. © European Communities, 2007 LEGAL AND ECONOMIC ANALYSIS OF TRAMP MARITIME SERVICES ACKNOWLEDGMENTS The consultants would like to thank all those involved in the compilation of this Report, including the various members of their staff (in particular Lars Erik Hansen of Fearnleys, Maria Bertram of Global Insight, Maria Hempel, Guy Main and Cécile Schlub of Holman Fenwick & Willan) who devoted considerable time and effort over and above the working day to the project, and all others who were consulted and whose knowledge and experience of the industry proved invaluable. -
Dylan WHISKY BAR
THE Dylan WHISKY BAR Menu 5 John Street • Kilkenny • Ireland Telephone: 056 77 21616 www.thedylanwhiskybar.com “A whiskey is the creation of something harmonious, balanced and fundamentally social... It brings together the mastery of the distilling process with the mystery of its humble ingredients. It is this indefinable nature that makes a Premium Whiskey far more than the sum of its parts.” The Jameson Masters Midleton distillery and irish Whiskey Midleton Distillery, located in County Cork, is the largest distillery in Ireland. • It is a diverse distillery in that it can produce a wide variety of whiskey types including Single Pot Still and Grain Irish Whiskey. • The location of Midleton Distillery is perfect, with the abundance of quality barley grown locally in the rich soils of east Cork and the plentiful supply of fresh water from the Dungourney river running through the distillery. • The term ‘Single Distillery’ refers to the practice of conducting the entire whiskey production process within the confines of one distillery. • Midleton Distillery is also unique as the location where the craft of traditional Irish ‘Single Pot Still’ Whiskey distillation has been protected, nurtured and perfected for almost 200 years. • Single Pot Still Irish Whiskey is triple distilled from a mash of malted and unmalted barley in large copper pot stills. • The Midleton distillers also produce grain whiskey which is triple distilled from a mash of maize and malt in column stills. • Grain whiskey is blended with pot still whiskey to produce some of the distillery’s most famous brands including Jameson and the Jameson Reserves. -
Characteristics of Spot-Market Rate Indexes for Truckload Transportation ASSACHS NSTTUT By
Characteristics of Spot-market Rate Indexes for Truckload Transportation ASSACHS NSTTUT by Andrew Bignell I ' B.A. (Hons), Business Administration University of Western Ontario, 2007 Submitted to the Engineering Systems Division In partial fulfillment of the requirements for the degree of Master of Engineering in Logistics at the Massachusetts Institute of Technology June 2013 © 2013 Andrew Bignell. All rights reserved. The author hereby grants to MIT permission to reproduce and to distribute publicly Paper and electronic copies of this document in whole or in part. Signature of A uthor.................................................... Andrew Bignell Master of Engineering in Logistics Program, Engineering Systems Division ayWO;013 C ertified by ................................................ (j/ Dr. Chris Caplice Executiv e Director, Center for Transportation and Logistics Thesis Supervisor A ccepted by................................................. ... ...................... Prof Yossi Sheffi ia Gray II Professor, Engineering Systems Division Civil and Environmental Engineering Department Director, Center for Transportation and Logistics Director, Engineering Systems Division 1 Characteristics of Spot-market Rate Indexes for Truckload Transportation by Andrew Bignell Submitted to the Engineering Systems Division In Partial Fulfillment of the Requirements for the Degree of Master of Engineering in Logistics ABSTRACT In the truckload transportation industry in the United States, a number of indexes are published that attempt to measure changes in rates, but no single index has emerged as an industry standard. Industry participants, particularly those exposed to the spot-market, have found that existing indexes do not effectively represent their experiences in the marketplace. A widely-used and valid spot-market index could allow for more effective tactical decision-making, the development of freight derivatives, stronger analysis and negotiation of contract rates, and contracts with index-tied rates. -
Artificial Neural Networks in Freight Rate Forecasting
LJMU Research Online Yang, Z and Mehmed, EE Artificial neural networks in freight rate forecasting http://researchonline.ljmu.ac.uk/id/eprint/10666/ Article Citation (please note it is advisable to refer to the publisher’s version if you intend to cite from this work) Yang, Z and Mehmed, EE (2019) Artificial neural networks in freight rate forecasting. Maritime Economics and Logistics. ISSN 1479-2931 LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LJMU Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain. The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription. For more information please contact [email protected] http://researchonline.ljmu.ac.uk/ Artificial Neural Networks in Freight Rate Forecasting Abstract Reliable freight rate forecasts are essential to stimulate ocean transportation and ensure stakeholder benefits in a highly volatile shipping market. However, compared to traditional time series approaches, there are few studies using artificial intelligence techniques (e.g. artificial neural networks - ANNs) to forecast shipping freight rates, and fewer still incorporating forward freight agreement (FFA) information for accurate freight forecasts. -
Economic Information Transmissions and Liquidity Between Shipping Markets: New Evidence from Freight Derivatives ⇑ G
Transportation Research Part E 98 (2017) 82–104 Contents lists available at ScienceDirect Transportation Research Part E journal homepage: www.elsevier.com/locate/tre Economic information transmissions and liquidity between shipping markets: New evidence from freight derivatives ⇑ G. Alexandridis a, S. Sahoo a, I. Visvikis b, a ICMA Centre, Henley Business School, University of Reading, Whiteknights, Reading RG6 6BA, UK b World Maritime University, Fiskehamnsgatan 1, SE-211 18 Malmö, Sweden article info abstract Article history: Economic return and volatility spillovers of derivatives markets on a number of assets have Received 6 July 2016 been extensively examined in the general economics literature. However, there are only a Received in revised form 24 November 2016 limited number of studies that investigate such interactions between freight rates and the Accepted 5 December 2016 freight futures, and no studies that also consider potential linkages with freight options. This study fills this gap by investigating the economic spillovers between time-charter rates, freight futures and freight options prices in the dry-bulk sector of the international JEL Classification: shipping industry. Empirical results indicate the existence of significant information trans- C32 mission in both returns and volatilities between the three related markets, which we attri- G13 G14 bute to varying trading activity and market liquidity. The results also point out that, consistent with theory, the freight futures market informationally leads the freight rate Keywords: market, though surprisingly, freight options lag behind both futures and physical freight Freight derivatives rates. The documented three-way economic interactions between the related markets Options contracts can be used to enhance budget planning and risk management strategies, potentially Price discovery attract more investors, and thus, improve the liquidity of the freight derivatives market. -
A Global Maritime Power
A Global Maritime Power Building a Better Future For Post-Brexit Britain Nusrat Ghani MP, Benjamin Barnard, Dominic Walsh, William Nicolle A Global Maritime Power Building a Better Future For Post-Brexit Britain Nusrat Ghani MP, Benjamin Barnard, Dominic Walsh, William Nicolle Policy Exchange is the UK’s leading think tank. We are an independent, non-partisan educational charity whose mission is to develop and promote new policy ideas that will deliver better public services, a stronger society and a more dynamic economy. Policy Exchange is committed to an evidence-based approach to policy development and retains copyright and full editorial control over all its written research. We work in partnership with academics and other experts and commission major studies involving thorough empirical research of alternative policy outcomes. We believe that the policy experience of other countries offers important lessons for government in the UK. We also believe that government has much to learn from business and the voluntary sector. Registered charity no: 1096300. Trustees Diana Berry, Alexander Downer, Pamela Dow, Andrew Feldman, David Harding, Patricia Hodgson, Greta Jones, Edward Lee, Charlotte Metcalf, David Ord, Roger Orf, Andrew Roberts, George Robinson, Robert Rosenkranz, William Salomon, Peter Wall, Simon Wolfson, Nigel Wright. A Global Maritime Power About the Author Nusrat Ghani MP is the Conservative MP for Wealden and a Senior Fellow at Policy Exchange. She previously served in the Department of Transport as Minister for Maritime between January 2018 and February 2020, during which time she became the first female Muslim Minister to speak from the House of Commons despatch box. -
Pricing and Hedging in the Freight Futures Market
Pricing and Hedging in the Freight Futures Market CCMR Discussion Paper 04-2012 Marcel Prokopczuk Pricing and Hedging in the Freight Futures Market Marcel Prokopczuk∗ April 2010 Abstract In this article, we consider the pricing and hedging of single route dry bulk freight futures contracts traded on the International Maritime Exchange. Thus far, this relatively young market has received almost no academic attention. In contrast to many other commodity markets, freight services are non-storable, making a simple cost-of-carry valuation impossible. We empirically compare the pricing and hedging accuracy of a variety of continuous-time futures pricing models. Our results show that the inclusion of a second stochastic factor significantly improves the pricing and hedging accuracy. Overall, the results indicate that the Schwartz and Smith (2000) two-factor model provides the best performance. JEL classification: G13, C50, Q40 Keywords: Freight Futures, Hedging, Shipping Derivatives, Imarex ∗ICMA Centre, Henley Business School, University of Reading, Whiteknights, Reading, RG6 6BA, United Kingdom. e-mail:[email protected]. Telephone: +44-118- 378-4389. Fax: +44-118-931-4741. Electronic copy available at: http://ssrn.com/abstract=1565551 I Introduction In a globalised world, efficient goods transport from continent to continent is an increasingly indispensable economic growth factor. More than 95 % of world trade (in volume) is carried by marine vessels. Transport volume has risen worldwide from 2800 Mio tons in 1986 to 4700 in 2005.1 The world relies on fleets of ships with a cargo carrying capacity of 960 million deadweight tons (dwt)2 to carry every conceivable type of product. -
BANCOSTA Weekly Market Report
weekly market report Week 17/2021 (24 Apr – 30 Apr) Comment: Indonesian coal exports COMMENT MARKET REPORT – WEEK 17/2021 2 INDONESIAN COAL EXPORTS 2020 proved to be a truly terrible exports performed particularly badly 85.6 mln tonnes, compared to a year for global seaborne coal trade. in the past 12 months, and that -8.3% y-o-y decline in overall global Total global loadings in the 12 Indonesia, Australia’s main coal exports in the same quarter. months of 2020 were down -12.7% competitor, would have benefitted. Indonesia again performed much year-on-year to 1130 million tonnes, However, you certainly don’t see this worse than the global average, according to vessels tracking data in the actual numbers. recording a steep -14.3% y-o-y from Refinitiv. In the 12 months of 2020, global decline in coal exports to 81.8 mln Despite all the global talk about Australian coal exports declined by tonnes in 1Q 2021. “going green” and “fight on carbon”, just -7.8% year-on-year to 357.8 mln The main coal export terminals in coal trade was still growing strongly tonnes. This was a smaller decline, Indonesia are: Samarinda (59.7 mln until 2019. It expanded by +2.5% in in percentage terms, than most tonnes loaded in 2020), Tabuneo 2019 and by 3.2% in 2018. other major coal exporters. Banjarmasin (54.3 mln t), Tanjung However, Covid-19 and its On the other hand, Indonesian coal Bara Sanggata (44.6 mln t), associated lockdowns proved a body exports in the 12 months of 2020 Balikpapan (24.2 mln t), Muara blow for coal demand. -
Implementing the New Science of Risk Management to Tanker Freight Markets
Implementing the New Science of Risk Management to Tanker Freight Markets Wessam M. T. Abouarghoub A thesis submitted in partial fulfilment of the requirements of the University of the West of England, Bristol For the Degree of Doctor of Philosophy Bristol Business School, University of the West of England, Bristol August 2013 This thesis is dedicated to my father, Mohamed Taher, Abouarghoub He was and remains my inspiration and best role model in life. Acknowledgements All Thanks And Praises Are Due To Allah, The Sustainer Of All The Worlds, And May Allah’s Mercy And Peace Be Upon Our Master, Muhammad, His Family And All His Companions. Many people have contributed greatly to this thesis. Without their assistance, completing this work would not have been possible. To each of them, I owe my sincere thanks and gratitude. First and foremost, I am sincerely grateful to my supervisor Professor Peter Howells for his continued support and patience in reviewing my work. His suggestions and comments helped to greatly improve the standard and quality of this thesis. To him I will be forever grateful. Second, my supervisor Iris Biefang-Frisancho Mariscal, that through her suggestions, comments and stimulating discussions helped to improve the quantitative techniques employed in this thesis. Both of my supervisors have been very patience and supportive, especially during the hard times that my country Libya had to go through after the start of the great revolution of 17th of February. With out their support and encouragement I wouldn‟t have been able to complete an important mile stone in my life. -
Predicting Shipping Freight Rate Movements Using Recurrent Neural Networks and AIS Data
Predicting Shipping Freight Rate Movements Using Recurrent Neural Networks and AIS Data On the tanker route between the Arabian Gulf and Singapore Stian Røyset Salen Gisle Hoel Århus Industrial Economics and Technology Management Submission date: June 2018 Supervisor: Sjur Westgaard, IØT Norwegian University of Science and Technology Department of Industrial Economics and Technology Management Preface This master's thesis represents the finalisation of our second Master of Science (MSc) degrees at the Norwegian University of Science and Technology (NTNU), after completing our MSc degrees in Marine Technology at NTNU in 2016. The current thesis is part of the specialisation program Financial Engineering in the study program Industrial Economics and Technology Management, and it was written in the spring of 2018. There are several people to whom we would like to express our sincere gratitude, for making this thesis possible. Firstly, we would like to thank our supervisor, Professor Sjur Westgaard at the Department of Industrial Economics and Technology Management at NTNU. Further, we want to thank Professor Keith Downing, at the Department of Computer and Information Science at NTNU, for kindly helping us with machine learning related issues. Moreover, the Norwegian Coastal Administration, Professor Bjørn Egil Asbjørnslett at the Department of Marine Technology at NTNU, and particularly PhD in Marine Technology, Carl Fredrik Rehn, and MSc in Marine Technology, Bjørnar Brende Smestad, deserve a thanks for providing AIS data, inspiration, useful discussions and help along the way. Lastly, we give thanks to our friends who have supported us, proofread the thesis and provided useful advices. Trondheim, June 11, 2018 Gisle Hoel Arhus˚ and Stian Røyset Salen ii Abstract The purpose of this thesis is twofold. -
City Research Online
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by City Research Online City Research Online City, University of London Institutional Repository Citation: Kyriakou, I., Pouliasis, P. K., Papapostolou, N. C. and Andriosopoulos, K. (2017). Freight Derivatives Pricing for Decoupled Mean-Reverting Diffusion and Jumps. Transportation Research Part E: Logistics and Transportation Review, 108, pp. 80-96. doi: 10.1016/j.tre.2017.09.002 This is the accepted version of the paper. This version of the publication may differ from the final published version. Permanent repository link: http://openaccess.city.ac.uk/18168/ Link to published version: http://dx.doi.org/10.1016/j.tre.2017.09.002 Copyright and reuse: City Research Online aims to make research outputs of City, University of London available to a wider audience. Copyright and Moral Rights remain with the author(s) and/or copyright holders. URLs from City Research Online may be freely distributed and linked to. City Research Online: http://openaccess.city.ac.uk/ [email protected] Freight derivatives pricing for decoupled mean-reverting diffusion and jumps Ioannis Kyriakou,∗ Panos K. Pouliasis,† Nikos C. Papapostolou‡and Kostas Andriosopoulos§ Abstract We develop an accurate valuation setup for freight options, featuring an exponential mean- reverting model for the freight rate with distinct reversion scales for its jump and diffusion components. We calibrate to Baltic option prices and analyze the freight rate dynamics. More specifically, we observe that jumps dissipate faster than the diffusive deviations about the equi- librium level. We benchmark against practitioners’ model of choice, i.e., the lognormal model and variants, and find that our approach reduces the pricing error while preserving analytical tractability and computational competence. -
Shipping Market Review – May 2021
SHIPPING MARKET REVIEW – MAY 2021 DISCLAIMER The persons named as the authors of this report hereby certify that: (i) all of the views expressed in the research report accurately reflect the personal views of the authors on the subjects; and (ii) no part of their compensation was, is, or will be, directly or indirectly, related to the specific recommendations or views expressed in the research report. This report has been prepared by Danish Ship Finance A/S (“DSF”). This report is provided to you for information purposes only. Whilst every effort has been taken to make the information contained herein as reliable as possible, DSF does not represent the information as accurate or complete, and it should not be relied upon as such. Any opinions expressed reflect DSF’s judgment at the time this report was prepared and are subject to change without notice. DSF will not be responsible for the consequences of reliance upon any opinion or statement contained in this report. This report is based on information obtained from sources which DSF believes to be reliable, but DSF does not represent or warrant such information’s accuracy, completeness, timeliness, merchantability or fitness for a particular purpose. The information in this report is not intended to predict actual results, and actual results may differ substantially from forecasts and estimates provided in this report. This report may not be reproduced, in whole or in part, without the prior written permission of DSF. To Non-Danish residents: The contents hereof are intended for the use of non-private customers and may not be issued or passed on to any person and/or institution without the prior written consent of DSF.