Greed, defined as a decision preference
Greed is a decision pattern where a person wants more upside and treats additional potential gain as more important than the downsides of taking that extra upside risk. In practice, greed often shows up when someone increases exposure—such as by holding longer, adding size, or aiming for larger targets—because the “more” feels attractive.
This article uses a worked scenario with explicit assumptions. It does not rely on live market data and does not predict outcomes. It focuses on mechanics: how a decision preference can translate into a measurable choice and then into different cash outcomes.
How a worked example of greed “works”
To make the idea concrete, separate two parts:
- Stable mechanics (the model): greed is treated as a willingness to take additional risk in order to pursue additional upside.
- Variable conditions (what changes reality): costs (spreads/fees), execution timing, and market movement can differ from assumptions.
Scenario structure
Assume a trader considers two ways to manage exposure after a decision point. The trader must choose between:
- Option A (less greedy): keep exposure fixed (stop “adding” or “aiming for more”).
- Option B (more greedy): increase exposure because the trader wants more upside.
Assumptions (state everything used)
- The trader’s position is sized in “units” (not tied to any specific instrument).
- Only one price move is relevant from the decision point to the outcome.
- There are two possible end states: Up and Down.
- Probability of Up is 60%, Down is 40%. (These are placeholders, not a forecast.)
- Net payoff per unit if Up is +10.
- Net payoff per unit if Down is −8.
- There are no additional external costs in this simplified calculation. (This is a limitation; see below.)
- Option A uses 1 unit of exposure.
- Option B uses 2 units of exposure.
Evidence or example: numeric comparison of two options
Compute expected payoff for each option.
Option A (1 unit)
- If Up: payoff = 1 × (+10) = +10
- If Down: payoff = 1 × (−8) = −8
- Expected payoff = 0.60 × 10 + 0.40 × (−8)
- Expected payoff = 6 − 3.2 = +2.8
Option B (2 units, “greed” as more exposure)
- If Up: payoff = 2 × (+10) = +20
- If Down: payoff = 2 × (−8) = −16
- Expected payoff = 0.60 × 20 + 0.40 × (−16)
- Expected payoff = 12 − 6.4 = +5.6
What the worked example shows
Under these assumptions, increasing exposure changes expected payoff from +2.8 to +5.6, so the “more upside” choice can look attractive on average.
However, it also increases the magnitude of the loss in the downside state: from −8 (Option A) to −16 (Option B). Greed is not just wanting more; it is changing exposure in a way that makes both gains and losses larger.
Importantly, the expected value is not a guarantee of results. Any realized outcome depends on whether the path ends in the Up or Down state, plus real-world costs and execution.
Limitations and risks (what can fail)
- Assumptions may not hold: the probabilities (60/40) and per-unit payoffs (+10/−8) are placeholders. Different assumptions can flip the comparison.
- Costs and execution are omitted: spreads, fees, slippage, and delays can reduce upside and worsen downside, especially for larger exposure.
- Single-move simplification: real decisions often involve multiple adjustments (partial closes, stop changes, re-entries). Greed can appear as a sequence of later “additions,” creating nonlinear outcomes.
- Irreversibility risk: increased exposure can create a drawdown so large that later recovery actions become impossible or constrained.
A material failure mode is that a greedy adjustment can convert a manageable loss into an unacceptable one, even if a simplified expected-value comparison looks favorable.
Verification and next question
To independently verify the concept, you can reproduce the calculation with your own assumptions and see how the comparison changes.
A useful check is sensitivity testing: keep the “up” payoff fixed but change the downside magnitude, costs, or probability of the Up state. If Option B’s higher expected payoff disappears when downside is slightly worse or costs are added, that indicates how strongly the result depends on assumptions.