Myopic loss aversion - Open Access .click

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Strategic Communication With A Myopically Loss Averse Investor

We develop a multi-period communication model in which a manager knows the firm's fundamental value before the firm's myopically loss averse investor. The manager may disclose truthfully or provide strategically biased information to influence the investor's evaluation of firm performance. The optimal managerial communication strategy is to report firm
Nils Lohmeier, Thomas Langer, Hannes Mohrschladt +2 more
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Decision Flexibility, Not Information Feedback, Explains Myopic Loss Aversion

Myopic loss aversion (MLA) - the tendency to avoid risk when investment outcomes are evaluated frequently - has long been cited as a key behavioral explanation for overly conservative portfolios. However, importantly it has remained unclear whether MLA is primarily driven by the frequency of performance feedback or by the flexibility to revise ...
Rene Schwaiger, Markus Strucks, Stefan Zeisberger +2 more
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OWNERSHIP STRUCTURE, MYOPIC LOSS AVERSION, AND THE PROBLEM OF 'PRESENTIATION'

Academy of Management Proceedings, 1999
This study examines the influence of institutional investors on firm innovation. Institutions are segmented by their cash flow preferences.
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Transgenerational Succession and R&D Investment: A Myopic Loss Aversion Perspective

Entrepreneurship Theory and Practice, 2022
Weiwen Li, Garry D Bruton
exaly

Measuring The Myopic Loss Aversion Premium: An Experimental Approach

Applied Economics Letters, 2022
Angela-Maria Filip, Balint Zsolt Nagy
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Myopic loss aversion or equate-to-differentiate heuristic? A heuristic decision making model for both single and aggregated plays

Journal of General Psychology, 2023
Fengpei Hu
exaly

Global Optimal Consumption–Portfolio Rules with Myopic Preferences and Loss Aversion

Computational Economics, 2021
Ming-Hui Wang, Nan-Jing Huang
exaly

Measuring The Myopic Loss Aversion Premium: An Experimental Approach

Applied Economics Letters, 2023
exaly

Myopic Loss Aversion and Investment Decisions: From the Laboratory to the Field