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Impact of investors’ status on their evaluation of positive and negative, and past and future information

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  • Anna M. Cianci
  • Diana Falsetta

Abstract

This paper examines the effect of investors’ status (current and prospective) on their evaluation of information varying in valence (negative and positive) and temporality (past and future). Master of Business Administration graduates, proxying for current or prospective investors, rated the relevance of negative, positive, past, and future Management Discussion and Analysis information. Investors’ relevance ratings of information resulted in the following ranking (from highest to lowest): negative‐future, negative‐past, positive‐future, and positive‐past information. Furthermore, prospective investors (relative to current) rated positive and future information as more relevant and negative information as less relevant. Implications for effective disclosure strategies and policies are discussed.

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  • Anna M. Cianci & Diana Falsetta, 2008. "Impact of investors’ status on their evaluation of positive and negative, and past and future information," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(5), pages 719-739, December.
    • Handle: RePEc:bla:acctfi:v:48:y:2008:i:5:p:719-739
    DOI: 10.1111/j.1467-629X.2008.00269.x
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    2. Anna M. Cianci & Satoris S. Culbertson, 2010. "The Impact of Motivational and Cognitive Factors on Optimistic Earnings Forecasts," Chapters, in: Brian Bruce (ed.), Handbook of Behavioral Finance, chapter 11, Edward Elgar Publishing.
    3. Rupali Misra & Sumita Srivastava & D. K. Banwet, 2019. "Are type B investors efficacious? Exploring role of personality in ambidextrous investment decision-making," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 46(1), pages 27-34, March.
    4. Abderrahmane Djaballah & Anne Fortin, 2021. "Value Relevance of Comprehensive Income for the Canadian Market," Accounting Perspectives, John Wiley & Sons, vol. 20(1), pages 49-77, March.
    5. Shuli Liu & Xinwang Liu, 2016. "A Sample Survey Based Linguistic MADM Method with Prospect Theory for Online Shopping Problems," Group Decision and Negotiation, Springer, vol. 25(4), pages 749-774, July.
    6. Isabel‐María García Sánchez & Luis Rodríguez Domínguez & Isabel Gallego Álvarez, 2011. "Corporate governance and strategic information on the internet," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 24(4), pages 471-501, May.
    7. Paul J. Coram, 2010. "The effect of investor sophistication on the influence of nonfinancial performance indicators on investors’ judgments," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 50(2), pages 263-280, June.
    8. Lisa M. Gaynor & Andrea S. Kelton, 2014. "The effects of analyst forecasts and earnings trends on perceptions of management forecast credibility," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 54(1), pages 189-210, March.
    9. Wei Li, 2017. "Level of business insights in the MD&A and nonprofessional investors' judgments," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(4), pages 1043-1069, December.
    10. Pennington, Robin R. & Kelton, Andrea Seaton, 2016. "How much is enough? An investigation of nonprofessional investors information search and stopping rule use," International Journal of Accounting Information Systems, Elsevier, vol. 21(C), pages 47-62.

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