• DocumentCode
    693924
  • Title

    Securities Analyst´s Forecasting Ability and ITS Influential Factors: Based on Decision-Making Theory

  • Author

    Jiani Wang

  • Author_Institution
    Res. Center on Fictitious Econ. & Data Sci., Beijing, China
  • fYear
    2013
  • fDate
    14-16 Nov. 2013
  • Firstpage
    378
  • Lastpage
    381
  • Abstract
    Based on decision-making theory, applied cognitive psychology and other researches, this paper focuses on Chinese securities analyst´ decision-making behavior and its influential factors by applying the methods of questionnaire, factor analysis and logistic regression model. Empirical result shows that clear differences exist among the impact on securities analyst´ decision-making performance in terms of their personal characteristics, information channels and stock recommendation motive, especially, there is an inverted U type relationship between work stress and decision-making performance. Besides, internal resources, better understanding of the listed companies and a good relationship with the management are among the factors which enhance securities analyst´ forecasting ability.
  • Keywords
    cognition; decision making; forecasting theory; logistics; psychology; regression analysis; securities trading; Chinese securities analyst decision-making behavior; cognitive psychology; decision-making performance; decision-making theory; factor analysis; information channels; inverted U type relationship; listed companies; logistic regression model; personal characteristics; securities analyst forecasting ability; stock recommendation motive; work stress; Companies; Decision making; Forecasting; Logistics; Security; Stress; Decision-making Theory; Forecasting Ability; Information Channel; Recommendation Motive; Securities Analyst;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering (BIFE), 2013 Sixth International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4778-2
  • Type

    conf

  • DOI
    10.1109/BIFE.2013.79
  • Filename
    6961159