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Information Journal Paper

Title

Analyzing risky and no risky approach of investment opportunities levels on share return prediction ability

Pages

  45-56

Abstract

 The goal of this study is analyzing investors’ decision based on different levels of investment opportunities based on risky and no risky approach on share return prediction ability. In this study, concentration is on using three regression models with replacement ability on variable coefficient of investment opportunities levels that can analyze share return prediction ability from viewpoint of risky and no risky investors. Study sample includes 113 firms from accepted companies in Tehran stock exchange that includes a time period of ten years from the beginning of 2008 to the end of 2017. Results show that only when investment opportunities level is average, share return prediction ability based on risky approach exists, and against, when investment opportunities level is high and low, share return prediction ability is performed based on investment no risky return. Thus, investment opportunities level has important roles on basis of no risky approach on share return prediction ability.

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  • Cite

    APA: Copy

    Shirnejhad, Leila, KHERADYAR, SINA, & CHIRANI, EBRAHIM. (2021). Analyzing risky and no risky approach of investment opportunities levels on share return prediction ability. FINANCIAL KNOWLEDGE OF SECURITY ANALYSIS (FINANCIAL STUDIES), 14(50 ), 45-56. SID. https://sid.ir/paper/951583/en

    Vancouver: Copy

    Shirnejhad Leila, KHERADYAR SINA, CHIRANI EBRAHIM. Analyzing risky and no risky approach of investment opportunities levels on share return prediction ability. FINANCIAL KNOWLEDGE OF SECURITY ANALYSIS (FINANCIAL STUDIES)[Internet]. 2021;14(50 ):45-56. Available from: https://sid.ir/paper/951583/en

    IEEE: Copy

    Leila Shirnejhad, SINA KHERADYAR, and EBRAHIM CHIRANI, “Analyzing risky and no risky approach of investment opportunities levels on share return prediction ability,” FINANCIAL KNOWLEDGE OF SECURITY ANALYSIS (FINANCIAL STUDIES), vol. 14, no. 50 , pp. 45–56, 2021, [Online]. Available: https://sid.ir/paper/951583/en

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