نتایج جستجو برای: share analysis

تعداد نتایج: 2906245  

Journal: :international journal of management and business research 0
s. kumar pradhan department of management studies, pondicherry university, kalapet, pondicherry, india r. kasilingam department of management studies, pondicherry university, kalapet, pondicherry, india

the study attempts to find out the impact of buyback announcement on share price. paired sample t-test is employed to compare share price before and after the buyback announcement. the analysis of variance is also used to find out whether there is any significant difference among industries in the price change due to buyback announcement. the study is carried out from 1st january 2005 to 31st d...

Journal: :international journal of hospital research 2015
abbas saleh ardestani hadi varzeshkar

there are two major methods in predincing the pattern of share value in the stock market: fundamental analysis and technical analysis. i this study we developed a novel model for fundamental analysis of share price and validated it by predicting the behavior of phrama share price in tehran stock market. the efficiency of the fundamental method was compared with that of indicator-based technical...

Journal: :اقتصاد و توسعه کشاورزی 0
مظهری مظهری رحمانی رحمانی

abstract this survey tries to use of competitive advantage analysis of agricultural productions with shift share method. to arrive this target used of official published statistics in ten years priod (1374-1384) were used. the results explained north khorasan has competitive advantage in onion, melon, tomato and grape production. also in this survey, appointment potentials of low plant surface ...

Journal: :The Annals of Regional Science 2003

1999
Andy King Jan-Georg Smaus Patricia M. Hill

Journal: :Turkish Journal of Computer and Mathematics Education (TURCOMAT) 2021

Journal: :International Journal of Economics & Management Sciences 2015

2003
Mark T. Dishaw Diane M. Strong D. Brent Bandy

MIS researchers have developed a number of models for studying the software utilization choices of end users. In this paper, we focus on one of these, the Task-Technology fit model. We explore the addition of various personal characteristic constructs, especially Computer Self-Efficacy and Experience.

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