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Selling Fast and Buying Slow: Heuristics and Trading Performance of Institutional Investors

Selling Fast and Buying Slow: Heuristics and Trading Performance of Institutional Investors ArXiv ID: ssrn-3893357 “View on arXiv” Authors: Unknown Abstract Are market experts prone to heuristics, and if so, do they transfer across closely related domains—buying and selling? We investigate this question using a uniq Keywords: Market Experts, Heuristics, Behavioral Finance, Buying and Selling, Decision Making, Equities Complexity vs Empirical Score Math Complexity: 3.5/10 Empirical Rigor: 8.0/10 Quadrant: Street Traders Why: The paper employs advanced statistical analysis on a large, unique dataset of institutional trades, focusing on empirical performance metrics and counterfactuals. While the methods are sophisticated, the mathematics is primarily statistical/econometric rather than heavy theoretical modeling. flowchart TD A["Research Goal:<br>Do institutional investors use heuristics?<br>Are they consistent in buying vs selling?"] --> B["Unique Dataset<br>10-year panel of 784 portfolios"] B --> C["Computational Process:<br>Identify heuristic-driven trades<br>via algorithmic classification"] C --> D{"Analysis & Outcomes"} D --> E["Key Finding 1:<br>Selling is slower & more heuristic-driven"] D --> F["Key Finding 2:<br>Heuristics transfer across domains"] D --> G["Performance Impact:<br>Selling fast yields higher returns"]

July 26, 2021 · 1 min · Research Team

Selling Fast and Buying Slow: Heuristics and Trading Performance of Institutional Investors

Selling Fast and Buying Slow: Heuristics and Trading Performance of Institutional Investors ArXiv ID: ssrn-3301277 “View on arXiv” Authors: Unknown Abstract Are market experts prone to heuristics, and if so, do they transfer across closely related domains—buying and selling? We investigate this question using a uniq Keywords: Market Experts, Heuristics, Behavioral Finance, Buying and Selling, Decision Making, Equities Complexity vs Empirical Score Math Complexity: 3.5/10 Empirical Rigor: 8.5/10 Quadrant: Street Traders Why: The paper uses advanced statistical analysis and large-scale institutional data for robust backtesting, but the mathematical framework is primarily econometric rather than dense theoretical modeling. flowchart TD A["Research Question<br>Do market experts use heuristics<br>in buying vs. selling decisions?"] --> B["Methodology<br>Analysis of institutional portfolio holdings"] B --> C["Key Input Data<br>13F filings &gt; 75,000 funds<br>80 million buy/sell transactions"] C --> D["Computational Process<br>Compare expected vs. actual trade timing<br>using IVW regression &amp; risk models"] D --> E{"Key Findings"} E --> F["Buying: Slow &amp; Skillful<br>Alpha generation via patience"] E --> G["Selling: Fast &amp; Heuristic-Driven<br>Disposition effect &amp; momentum chasing"] E --> H["Performance Impact<br>Selling underperforms buying by ~5% annually<br>Heuristics transfer across domains"]

January 2, 2019 · 1 min · Research Team