Expected Utility Theory is a foundational concept in economics and decision theory that models how rational individuals make choices under conditions of risk. The theory posits that individuals evaluate potential outcomes based on their subjective utility rather than their objective monetary value. A core assumption is that individuals seek to maximize their expected utility, which is calculated as the sum of the utilities of all possible outcomes weighted by their probabilities.
Decision
The theory provides a framework for understanding risk aversion in financial decisions. According to this model, a risk-averse investor possesses a concave utility function, meaning they derive less utility from additional wealth as their total wealth increases. This explains why investors may prefer a certain, smaller return over a risky investment with a higher expected monetary value, as the certain return provides greater expected utility.
Valuation
In options trading, Expected Utility Theory helps explain why investors may pay a premium for insurance-like derivatives that protect against losses. The value of an option is not solely determined by its expected payoff, but also by the utility derived from avoiding potential negative outcomes. This framework provides a basis for understanding risk premiums and deviations from purely rational pricing models in derivatives markets.
Meaning ⎊ Behavioral economics insights quantify human cognitive biases to enhance risk management and pricing accuracy within decentralized option markets.
Meaning ⎊ The Liquidity Schelling Dynamics framework models the game-theoretic incentives that compel self-interested agents to execute decentralized liquidations, ensuring protocol solvency and systemic stability in derivatives markets.
Meaning ⎊ Non-linear utility describes the disproportionate change in an instrument's value relative to its underlying asset, a defining characteristic of derivatives and advanced risk management.
