TL;DR
A stochastic process \( \{M_t\} \) where \( E[M_t | \mathcal{F}_s] = M_s \) for all \( s \leq t \). Intuitively, the best prediction of the future value is the current value.
Martingale
A stochastic process \( \{M_t\} \) where \( E[M_t | \mathcal{F}_s] = M_s \) for all \( s \leq t \). Intuitively, the best prediction of the future value is the current value.
Why it matters for interviews
Martingale theory is the mathematical backbone of fair pricing. Under the risk-neutral measure, discounted asset prices are martingales. The optional stopping theorem provides powerful tools for solving gambling and trading problems.
Definition and Mathematical Foundation
A stochastic process \( \{M_t\} \) where \( E[M_t | \mathcal{F}_s] = M_s \) for all \( s \leq t \). Intuitively, the best prediction of the future value is the current value.
Application in Quantitative Finance
Martingale theory is the mathematical backbone of fair pricing. Under the risk-neutral measure, discounted asset prices are martingales. The optional stopping theorem provides powerful tools for solving gambling and trading problems.
Related Terms
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