10 — Emotional Drivers

Disposition Effect#

Statistical1 min read
◆ The PatternThe tendency to sell winning positions too early (pride) and hold losing positions too long (hope).

The disposition effect (Shefrin & Statman, 1985) — selling winners too early and holding losers too long.

Mechanism:
• Winner: feels good → sell to "lock in" pleasure → miss further gains
• Loser: feels painful → hold to avoid realizing pain → loss deepens

Result: The exact opposite of the rational strategy — let winners run, cut losers short.

It's also tax-inefficient: you pay capital gains tax on winners early but can't deduct unrealized losses.

Worked example

Odean’s measure: on each day something was sold, look at every position held. Here 4 of 8 positions in profit were sold — a proportion of gains realized of 0.50. Only 1 of 9 in loss was sold: 0.11. Gains were realized 4.5 times as readily as losses. In 10,000 real brokerage accounts Odean (1998) found 0.148 against 0.098.

Where it misleads
  • Taxes push the other way: in most countries a realized loss lowers your tax, which makes holding losers more costly still.
  • Some selling of winners is rebalancing, which is a good habit; the test is whether the sell would happen with the gain removed.
  • Ben-David & Hirshleifer (2012) found people sell after large moves either way; the pattern may come from beliefs about the stock more than from the pain of a realized loss.
In code
book = pd.DataFrame({                            # every position held on the days something was sold
    'gain': [1, 1, 1, 0, 0, 0, 0,  1, 1, 0, 0, 0,  1, 1, 1, 0, 0],
    'sold': [1, 0, 1, 0, 0, 0, 0,  1, 0, 0, 1, 0,  1, 0, 0, 0, 0]})
g, s = book.gain == 1, book.sold == 1
PGR = (g & s).sum() / g.sum()                    # proportion of gains realized (Odean 1998)
PLR = (~g & s).sum() / (~g).sum()                # proportion of losses realized
Python, in your browser — edit the code and run it again

Assumes import numpy as np and import pandas as pd. Each snippet carries its own example numbers; the comments say which are made up.

Sources
  • H. Shefrin & M. Statman, “The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence”, Journal of Finance 40(3), 1985
  • T. Odean, “Are Investors Reluctant to Realize Their Losses?”, Journal of Finance 53(5), 1998
  • I. Ben-David & D. Hirshleifer, “Are Investors Really Reluctant to Realize Their Losses? Trading Responses to Past Returns and the Disposition Effect”, Review of Financial Studies 25(8), 2012

Last reviewed October 2026 · How this site checks its content · Report a mistake

Check yourself

1. What is the disposition effect?

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B. Shefrin & Statman (1985) named it; realising a loss is painful, realising a gain feels good.

2. In Odean’s (1998) study of brokerage accounts, how did the winners investors sold compare with the losers they kept?

Show answer

C. The difference was about 3.4 percentage points over the next year — the habit cost money, not just taxes.

3. Why is the disposition effect costly for taxes too?

Show answer

B. Tax rules usually reward the opposite: realise losses, defer gains.

Pattern bridge: Selling winners too early, holding losers too long. In ML, learning rate scheduling fights the same instinct: slow down on gains, keep going through losses.
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