Chaos theory: forecasting the freight rate of an oil tanker

Thalassinos, Eleftherios; Hanias, M. P.; Curtis, Panayiotis G.; Thalassinos, Yannis

doi:10.1504/ijcee.2009.029154

Cited by 22 publications

(18 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, demand will be less when the price is higher. Investors want to buy at lower prices with the hope that they can obtain profit when they resell (Thalassinos et al, 2013;2009).…”

Section: Theory Of Demand and Supplymentioning

confidence: 99%

Price Formation around Dividend Announcement Date: Empirical Evidence in Indonesian Stock Exchange

Frensidy¹,

Josephine²,

Setyawan³

2019

ERSJ

View full text Add to dashboard Cite

Purpose: This research aims to prove that there is a change in abnormal return around the dividend announcement date. Based on differences in the interests of rational and irrational investors related to the dividend announcement and subsequent event, the authors propose two research questions: first, whether there is an abnormal return around the dividend announcement date; second, whether price changes around that event. Design/Methodology/Approach: The time span of the study was five days before and five days after the announcement date of 15 companies which announced dividends from 2007-2012. To answer the first question, we used the t-test and to answer the second question, we employ the coefficient of multiple regression equations, namely the bid and ask price. Findings: The results of this study indicate significant abnormal returns around the dividend announcement date. The price formation is not influenced by dividend announcement, but it was influenced by the demand and the bid prices which implies that there is an effort of investors to maximize capital gains by selling and buying certain stocks. Practical Implications: Dividend announcement date still contains information for investors, because the possibility of surprise factor has been reduced. Investors have already received the rumors about the dividend announcement date and the event has received financial reports, which may have been used by investors in predicting the stock price. Originality/Value: Our study is the first to link bid and ask price to the price formation process before and after the dividend announcement date. The results of this test have answered the question that there are price changes during the dividend distribution event for testing individual levels of the company.

show abstract

Section: Theory Of Demand and Supplymentioning

confidence: 99%

Price Formation around Dividend Announcement Date: Empirical Evidence in Indonesian Stock Exchange

Frensidy¹,

Josephine²,

Setyawan³

2019

ERSJ

View full text Add to dashboard Cite

show abstract

“…Thalassinos et al [79] predicted the Aframax 105 000 dwt double-hull weekly Tanker Charter Rate Index in a 30 time period ahead with data in 2000-2007. They used 401 weeks and the ''False Nearest Neighbours'' method.…”

Section: Forecasting In the Late 1990s And 2000smentioning

confidence: 99%

“…Our predictions [13] for comparison were better as we had 51% maximum per week deviation outside the sample. Our forecasts were for a bulk carrier for a $60 000 maximum week rate (double amount of that of Thalassinos et al [79]). The software used is not mentioned.…”

Section: Forecasting In the Late 1990s And 2000smentioning

confidence: 99%

Forecasting short-term freight rate cycles: do we have a more appropriate method than a normal distribution?

Γουλιέλμος

Psifia

2011

Maritime Policy & Management

View full text Add to dashboard Cite

“…Each organization, as a unit of the economy, contributes (or does not contribute) to the development of scientific and technological progress, and technology is a key position. Especially valuable is the patenting of technologies, which, first, is the recognition (Grant, 2011) by the state of the technological achievements of the enterprise, second, makes the technology protected from raider capture, and third, it can be taken into account as an invisible asset (Polyakova et al, 2019;Thalassinos et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Cybernetic Solutions in Analytical Management of Company’s Business Activity in Stable Growth Condi-tions

Kuznetsova¹,

Телеев²

2019

IJEBA

View full text Add to dashboard Cite

Purpose:The article is aimed at the formation of a new methodology of accounting and analytical management in business processes. The study of tasks, methods and techniques of cybernetics and refract them through the prism of algorithm of business process, gives the possibility for forecasting in stable economic growth conditions. Design/Methodology/Approach: To realize the possibilities of analyzing and forecasting resources in a business process, it is important to define the "input resources", the information field of business processes, that is expressed in the idea of production, product characteristics data, output volume, generation of information on necessary "input resources" and possible" output resources", sales information, as well as methods of economic analysis such as marketing analysis, managerial analysis etc. and the accounts' forecasting. Findings: To define the influence of the information field of a business process on its key indicators such as actual results, changed of human resources, acquisition, development and implementation of new technologies, there has been an accounting and analytical model developed. Its work is based on bookkeeping and economic analysis tools and a cybernetic feedback method. Practical Implications: The results can be implemented to forecast the outcome at each stage of business process and further on for the organization of any type of activity and any form of ownership. Originality/Value: The main contribution of this research is the generation of accounting and economic analysis tools with methods of cybernetics, which allows us to form a new scientific direction from a theoretical standpoint, and to manage business processes through the information field in practical terms.

show abstract

Chaos theory: forecasting the freight rate of an oil tanker

Cited by 22 publications

References 8 publications

Price Formation around Dividend Announcement Date: Empirical Evidence in Indonesian Stock Exchange

Price Formation around Dividend Announcement Date: Empirical Evidence in Indonesian Stock Exchange

Forecasting short-term freight rate cycles: do we have a more appropriate method than a normal distribution?

Cybernetic Solutions in Analytical Management of Company’s Business Activity in Stable Growth Condi-tions

Contact Info

Product

Resources

About