نتایج جستجو برای: trading company

تعداد نتایج: 122634  

2017
Andrey Kudryavtsev

The present study explores the effect of the gambler’s fallacy on stock trading volumes. I hypothesize that if a stock’s price rises (falls) during a number of consecutive trading days, then the gambler’s fallacy may cause at least some of the investors to expect that the stock’s price “has” to subsequently fall (rise), and thus, to increase their willingness to sell (buy) the stock, resulting ...

2007
Nan Li Chao Wang Xun Liang

Within stock exchanges, trading volume and asset price are considered to be vastly volatile, whereas the effective prediction towards them provides constructive advice for financial practitioners. Meanwhile, due to the fast encroachment of information technology into every level of life, financial news holds its very importance in affecting as well as evaluating the market behaviour. It has bee...

Journal: :International Journal of Economics and Management Studies 2020

2015
Atefe Zakeri Farzad Dehghanian Behnam Fahimnia Joseph Sarkis

Carbon pricing (taxes) and carbon emissions trading are two globally practiced carbon regulatory policy schemes. This paper presents an analytical supply chain planning model that can be used to examine the supply chain performance at the tactical/operational planning level under these two policy schemes. Model implementation and analyses are completed using actual data from a company operating...

Journal: :توسعه کارآفرینی 0
بهروز زارعی دانشیار دانشکده کارآفرینی دانشگاه تهران سعدی بالیده دانش آموخته کارشناسی ارشد کارآفرینی دانشگاه تهران پرویز کفچه استادیار دانشگاه تهران

in this paper an embedded framework is proposed to employ corporate entrepreneurship concepts into a business process reengineering (bpr) technique. the former has a strong theoretical background and the latter has application potentials. our case study is a government trading company (g.t.c). we applied a mix research method to answer the research questions, where, by using the grounded theory...

Journal: :CoRR 2013
Sercan Arik Sukru Burc Eryilmaz Adam Goldberg

As the number of publicly traded companies as well as the amount of their financial data grows rapidly and improvements in hardware infrastructure and information processing technologies enable high-speed processing of large amounts of data, it is highly desired to have tracking, analysis, and eventually stock selections automated. Machine learning has already attained an important place in tra...

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