Ships are investments that require significant capital and therefore the factors affecting their value must be analyzed carefully. The study in the paper is determined to what extent the effect of age, which is one of the most influential factors in sales value, differs in terms of ship type. The reports including the ship sale activities cover the period between January 2013 and December 2019 and consist of 84 monthly reports. Regression analysis was performed as the sales price as the dependent variable, age, freight, and size as independent variables. According to the results, it was determined that the ship types whose value decreases the most due to the age change are those used in gas transportation, while the least affected ship type by age is those used in bulk transportation. In addition, it has been determined that the ship type most affected by freight is those used in gas transportation and that the ship type most affected by the size is those used in container transportation. It can also be said that the ship type with the lowest risk of investment is bulk ships and the ship type with the greatest risk is gas ships. It is hoped that these results provide important information especially for players conducting their commercial activities upon sale & purchase transactions in the market.

Konteyner taşımacılığı, dünyanın üretilen tüketim malları için çok önemli bir taşımacılık çeşididir. Deniz yoluyla yapılan ticaret ve dolayısıyla konteyner taşımacılığı çeşitli faktörlerden oldukça etkilenir. Küresel ekonomik büyüme, uluslararası ticaret, konteyner taşımacılığı pazarındaki arz-talep dengesi, konteyner taşımacılığı sektörünü etkileyen faktörlerden bazılarıdır. Küresel ekonomi en önemli talep faktörüdür. Konteyner taşımacılığında arz, esnek olmayan konteyner filosu kapasitesidir ve piyasa ani talep değişikliklerine cevap veremez. Ancak talep tarafındaki değişikler navlun oranları üzerinde ani etkiler yapabilir. Bu çalışmanın amacı, talepteki değişimlerin konteyner taşımacılığı navlun oranları üzerindeki etkisini ampirik olarak incelemektir. Analizde, dünyanın en büyük ekonomisi olan ABD'nin GSYİH'sindeki değişimin ABD ile Çin arasındaki konteyner navlun oranlarına etkisi regresyon analizi yöntemi ile incelenmiştir. Araştırma sonuçlarında, yapısal kırılmalar dikkate alındığında değişkenler arasındaki ilişkinin pozitif olduğu ve GSYİH'deki %1'lik bir değişimin navlun oranlarında %3,17'lik bir değişime neden olduğu tespit edilmiştir. COVİD-19'un da etkisiyle 2020 1. çeyrek sonrasında modelde yapısal kırılma olduğu da belirlenmiştir.

The interest rates significantly affect maritime markets, both with their role in determining the cost of ship investments and their role in determining the demand for goods in the world economy. We examined the impact on the freight market, which is the fundamental of other maritime markets and is much more dynamic than them. Considering that change in interest rates affects the world economy, but this effect may not survive throughout the period, we applied the analysis first with a linear approach and then with a time-varying approach. The federal funds rate is used as an indicator of global interest rates, and the Baltic Dry Index (BDI) is used as an indicator of the dry bulk freight market. As a result of analysis performed using a data set consisting of 302 monthly observations covering the period between 1995 and 2020, it was determined that the significant relationship does not exist throughout the whole sample, it exists only at certain periods, and the significant effect occurs when BDI tends to increase and decrease. Thus, it was determined that changes in interest rates not only affect the global economy but also the trend of the dry bulk freight market.

Freight revenues are a fundamental objective of the maritime industry, and provide a baseline for stakeholders to plan their current strategies and future investments. Reduction of uncertainty-induced risk is therefore essential for predicting market prospects and for achieving sustainable growth for sector participants. This can be achieved by conceiving the formation of freight rates as well as the macro variables that have the greatest impact on rates. This study aims to contribute to the existing freight rate formation literature by empirically testing the supply–demand balance of China, one of the world’s largest economies. The Baltic Dry Index (BDI) has been selected as a measure of freight rates, trade volume of China has been selected as a demand-side indicator and the dry bulk fleet has been selected as a supply-side indicator in the model. It has been hypothesized that a larger trade volume has the effect of increasing freight rates, while an increasing fleet capacity has the effect of reducing freight rates. Correlation and regression analyses have been applied to test the econometric relationships between variables. The results of the study have confirmed the hypotheses, and it has been found that freight rates reacted more vigorously to changes in the dry bulk fleet, which forms the supply side.