The return an investor actually receives can be split into five terms: the time compensation earned by waiting, the risk compensation earned by bearing risk, the information advantage gained by knowing more than others, the costs paid when trading, and luck. All of this rests on the premise that promises are kept. Part One takes the equation apart term by term: where each term comes from, what it means for the market as a whole, and what risks come with it.
Each term in the equation has a return side and a risk side, and the terms differ in what they mean for the market as a whole. Time compensation and risk compensation are available to everyone; information advantage is zero-sum; trading costs are negative-sum; luck averages out to zero over the long run.
ReturnInterest
RiskInflation, maturity mismatch
ReturnRisk premium, factors
RiskVolatility, drawdowns, fat tails
ReturnExcess return
RiskAdverse selection, false confidence in being informed
ReturnNone
RiskLiquidity, execution
ReturnShort-term results
RiskDispersion of outcomes
RiskCounterparty risk, institutional risk
Tap a term in the equation.
Chapter 1 is the opening. It explains what returns are returns on: a financial product delivers a promise. The six sections that follow each correspond to one term of the equation. This part assumes no background in finance and no mathematics; each chapter starts from a concrete phenomenon and uses economic analysis to examine the participants' motives, constraints and outcomes.
Once the return equation is taken apart, the conclusion fits in one sentence: what ordinary investors can reliably earn is time compensation and compensation for systematic risk; information advantage is steadily used up by competition, trading costs must be paid, and short-term results come mostly from luck; and all of this depends on promises being kept.
These conclusions form the first set of constraints on designing financial products. The second set comes from users: what people need to accomplish, what they can bear, and what makes them trust. The third set comes from AI: how much an agent can reliably do on people's behalf.