Abstract: Abstract The aftermath of the financial crisis has threatened the stability of several financial institutions over the past years. Most heavily hit were banks with a notable exposure to ship finance, who saw the collateral value of many loans being diminished. Industry observers trace back the rare occurrence of actual defaults of ship loans to the use of the Long-Term-Asset Value (LTAV), a valuation method explicitly designed for ship investments. As the LTAV is based on a discounted cash-flow approach, it accounts for investment risks in the discount rate. Consequently, the LTAV bundles the time value of money and risk in a single value, which begs the question if this method oversimplifies the incorporation of risk in the evaluation of ship investments. In the context of infrastructure investments, the Decoupled Net Present Value (DNPV) has recently been proposed as an alternative method that addresses the problem of using risk-adjusted discount rates. It separates the time value of money from risks by quantifying risk factors individually and treating them as costs to the investment. We provide a proof-of-concept regarding the applicability of the DNPV in the context of ship investments. To this end, we develop a DNPV valuation model and instantiate a prototype in Python. We then perform a simulation study that evaluates a ship investment using both the LTAV and the DNPV. The results of our study confirm the applicability of the DNPV to ship investments and point to both its advantages and limitations compared to the LTAV.
Date: 2018
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text
Ordering information: This item can be ordered from
http://www.springer.com/9783319899206
More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .