The natural gas market has been expanding in size and has attracted particular attention across the global energy market. Although most natural gas transportation is carried out through pipelines, almost one third of it is done with the help of merchant vessels, capable of carrying liquefied natural gas. These LNG carriers have a special design and thus can be treated as a separate class of global fleet. New vessels are huge capital investments by vessel owning companies and just like other vessel classes; the new shipbuilding prices for the LNG segment continue to be a key aspect in the decision making of business players. Additionally these prices can be volatile as new ship building prices fluctuate with time. This paper attempts to analyse the volatility of new ship building prices of LNG carriers. For the study, the average ship building prices for all the LNG carriers having volume carrying capacity is between 160,000 – 173,000 cbm to be delivered between 2016 – 2019 were taken into account. For the analysis, GARCH and EGARCH methods were applied on the data set. The analysis concluded that there is a great deal of volatility in the new ship building prices of LNG vessels. It was also identified that negative shocks were more persistent the positive shocks.

Main cause of accidents is just not always bad luck. Literature on safety has emphasised on the facts that accident finally leads to unfortunate consequence. The first step of risk assessment is to identify the hazards that are present. The Routine Ship Towage, also called harbour towage, is potentially a hazardous operation. The main objective of this research is to identify and quantify the important factors impacting on the safety of routine ship towage operations in Indian coast. In doing so, initially, the existing literature on factors influencing safety of harbour towage operation was analysed to design questionnaire. Rest necessary data was collected through questionnaires. Finally, the factor analysis (Principal Component analysis) was applied to find grouped dimensions from identified hazard variables from literature and subsequently the critical analysis of incident type frequency, cause and consequences to get a clear picture of critical safety risk factors. As a result, the research found 20 criteria in 6 dimensions safety risk factors such as Crew Incompetency, Rough Weather, Poor Work Process, Suitability of Tug Type, Poor Safety Management System, and Poor Navigational Risk Assessment.