Introduction of sentiment enables us to quantify its impact on freight prices and additional expands our information concerning the maritime industry. Third, based around the above, we are able to, for the first time, empirically assess and analyze the conceptual model of provide and demand as described by Stopford. Finally, the present research introduces the three-stage least squares model, which gives the top setting for an exploration of demand and supply equations (Amemiya 1977; Zellner and Theil 1962) and is actually a methodology that has been small utilised inside the maritime market (Luo et al. 2009). Additionally, our results are important not only for shipowners who can predict the equilibrium cost on the market place, but in addition for the charterers who want to transfer their goods. Lastly, our results are of use for the broader spectrum of the maritime market (i.e., nations, shipyards, shareholders) in that they can compute any off-equilibrium deviations and take the actions needed to improve their respective positions. Following this introduction, the remainder of this paper is organized as follows: Section two supplies a overview on the literature around the concern, Section 3 describes the methodology as well as the data utilised, Section 4 discusses the empirical final results obtained and Section five tends to make conclusions around the findings. 2. Literature Assessment Shipping has served as a fruitful setting for behavioral studies provided its volatile nature (Scarsi 2007; Alexandridis et al. 2018). The all round literature within the field lies mostly in 3 diverse pillars of behavioral investigation, namely over-extrapolation, herding behavior and sentiment. The first researcher that pointed out a common practice that is definitely employed by shipowners was Zannetos (1959), who implied that an extrapolation from the current fundamentals takes location when investment choices are taken. Interestingly, the very first conceptual justification of such an extrapolation was created significantly later, by Tversky and Kahneman (1974). Within the following years, each Metaxas (1971) and Beenstock and Vergottis (1989) looked in to the matter; on the other hand, the restricted availability of information curtailed their potential to reach concrete conclusions around the results from the extrapolating behavioral bias of shipowners. Additionally, Bulut et al. (2013) similarly suggested that shipping firms are additional prone to invest during the boom from the cycle, and consequently have a drop in their return on S-297995 In stock equity. Far more lately, Alizadeh and Nomikos (2007) employed a dataset of monthly data for 28 years and showed that co-integrating approaches can be far more helpful for shipping investors, again showcasing that fundamentals play a vital part. These benefits are complemented by Michail and Melas (2019), who showed that a co-integrating strategy based on fundamentals can also be beneficial for stock trading purposes. Ultimately, within the very same spirit because the preceding investigation, is the study by Greenwood and Hanson (2015). In their investigation, they supplied theoretical proof in the extrapolation of fundamentals by the shipowners. Much more precisely, they showed that shipping investors extrapolate the exogenous demand shocks, and as a result extra vessels are ordered, making an endogenous shock. On the other hand, provided the time lag between ordering and receiving a vessel that exists intrinsically inside the shipping industry, investors LLY-283 Epigenetics develop into disappointed and hence create a shorter than average enterprise cycle. More lately, Moutzouris and Nomikos (2020) created a conceptual behavioral model for the handysize dr.