Symmetric Random Walk Trading Strategy: Profit Variance and Expectation
Setup
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Let S_t be a simple symmetric random walk with S_0 = 0 and increments X_t = S_t − S_{t−1} taking values ±1 with equal probability, independent across t.
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Time is discrete: t = 1, 2, ..., T.
Trading Rule
At each time t (after observing the move from t−1 to t):
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If X_t = +1, buy 1 share.
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If X_t = −1, short 1 share.
You accumulate all positions and mark them to market at the terminal time T.
Tasks
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Derive a closed form for the cumulative profit at time T and compute its variance.
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What is the expected profit? Explain.
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How do these results extend if S_t is replaced by continuous-time standard Brownian motion B_t?