Decision-making system for stock exchange market using artificial emotions

2015 ◽  
Vol 42 (20) ◽  
pp. 7070-7083 ◽  
Author(s):  
Daniel Cabrera-Paniagua ◽  
Claudio Cubillos ◽  
Rosa Vicari ◽  
Enrique Urra
Keyword(s):  
Decision Making ◽  
Stock Exchange ◽  
Exchange Market ◽  
Artificial Emotions ◽  
Decision Making System

scholarly journals RELATIONSHIP BETWEEN INVESTORS SENTIMENT INDEX WITH FIRST AND SECOND MARKET INDEXES IN TEHRAN STOCK EXCHANGE (TSE)

2015 ◽  
Vol 37 ◽  
pp. 16
Author(s):  
Hadi Fayyazi ◽  
Rasoul Goshtasbi Maharlouei
Keyword(s):  
Decision Making ◽  
Capital Market ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Granger Causality Test ◽  
Financial Assets ◽  
Exchange Market ◽  
Significant Relation ◽  
Causality Test ◽  
Market Indexes

http://dx.doi.org/10.5902/2179460X19424The process of being affected of the investors in decision making from their sentiment has been considered in many recent researches in the field of the financial assets pricing. Some authors suggest that shifts in investor sentiment may in some instances better explain shortterm movement in asset prices than any other set of fundamental factors. The present study tries to investigate the relation between the investors sentiment index and First and Second Market Indexes in Tehran Stock Exchange Market. This paper, an index was used in order to measure the available data on sentiment of the investors in facing the risks in a 142-month period (2001 – 2014) in Tehran Stock Exchange. The used index can reveal and present the situation of the Iranian capital Market in terms of the Investors Sentiments. The results obtained from the present study reveal a positive and significant relation between the investors’ sentiment Index of the Tehran Exchange First and Second Market Indexes; and also by using from Granger Causality Test, it was revealed that there is a mutual causality relation between the investors’ sentiment Indexes of the TEFMIX and TESMIX.

Methodical Framework of the Support and Decision-making System for the Collection and Disposal of Organic Raw Materials

2015 ◽  
Vol 1 (1) ◽  
pp. 29-34
Author(s):  
Sergei Shvorov ◽  
◽  
Dmitry Komarchuk ◽  
Peter Ohrimenko ◽  
Dmitry Chyrchenko ◽  
...  
Keyword(s):  
Decision Making ◽  
Raw Materials ◽  
Decision Making System

PENGARUH CAR, LDR DAN ROA TERHADAP LABA PERUSAHAAN PERBANKAN TERDAFTAR DI BURSA EFEK INDONESIA

2018 ◽  
Vol 23 (1) ◽  
pp. 72-85
Author(s):  
Lasminisih ◽  
Emmy Indrayani
Keyword(s):  
Decision Making ◽  
Multiple Regression ◽  
Stock Exchange ◽  
Financial Statements ◽  
Capital Adequacy ◽  
Financial Statement ◽  
Return On Assets ◽  
Capital Adequacy Ratio ◽  
A Company ◽  
Future Plans

Company financial statement can be used to monitor the performance of a company. Financial statements are also used as a means for decision making so that the company can anticipate future plans. The purpose of this study was to find out the effect of Capital Adequacy Ratio (CAR), Loan to Deposit Ratio (LDR) and Return on Assets (ROA) on profit changes percentage of Banking Companies. The number of sample companies used in this study was 27 Banks listed in the Indonesia Stock Exchange with observation periods from 2007 to 2008. The method used in this study was multiple regression. The results of this study have indicated that CAR, LDR, and ROA gave significant effects on changes in Banks profit so that Banking Companies performances can be measured. Keywords: CAR, LDR, ROA, Profit

Dynamic Decision Making System for Public Transport Routes

2016 ◽  
Vol 5 (3) ◽  
pp. 47-70 ◽  
Author(s):  
Maria Spichkova ◽  
Margaret Hamilton
Keyword(s):  
Decision Making ◽  
Information System ◽  
Public Transport ◽  
User Satisfaction ◽  
Spatial Planning ◽  
Formal Model ◽  
Dynamic Decision Making ◽  
Sustainable Cities ◽  
Decision Making System ◽  
Green Software

This paper presents a formal model of a decision making system for public transport routes. The approach focuses on (1) environmental and societal sustainability aspects of green software engineering, (2) spatial planning and optimisation for smarter sustainable cities, and (3) user satisfaction with this information system for the various contexts of passenger, driver and overall system view.

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