Newbuilding ship price forecasting by parsimonious intelligent model search engine

• Main Authors: Gao, Ruobin, Liu, Jiahui, Zhou, Qin, Duru, Okan, Yuen, Kum Fai
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Maritime studies; Forecasting; Shipping Market
• Online Access: https://hdl.handle.net/10356/162086
• Institution: Nanyang Technological University

Asset prices play a significant role in the financial survival and profitability of ship-owning firms. In a highly volatile shipping market, prices of newbuilding ships must be predicted to detect security shortfalls as well as opportunities for temporal arbitration (gaining on high–low pricing). Ac...