TL;DR
A discrete-time process where each step is an independent random variable: \( S_n = S_0 + \sum_{i=1}^n X_i \). The simple random walk has \( X_i \in \{-1, +1\} \) with equal probability.
Random Walk
A discrete-time process where each step is an independent random variable: \( S_n = S_0 + \sum_{i=1}^n X_i \). The simple random walk has \( X_i \in \{-1, +1\} \) with equal probability.
Why it matters for interviews
The discrete analog of Brownian motion. Random walk problems (gambler's ruin, first passage times, ballot problems) are staples of quant interviews. The efficient market hypothesis posits that prices follow a random walk.
Definition and Mathematical Foundation
A discrete-time process where each step is an independent random variable: \( S_n = S_0 + \sum_{i=1}^n X_i \). The simple random walk has \( X_i \in \{-1, +1\} \) with equal probability.
Application in Quantitative Finance
The discrete analog of Brownian motion. Random walk problems (gambler's ruin, first passage times, ballot problems) are staples of quant interviews. The efficient market hypothesis posits that prices follow a random walk.
Related Terms
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