Question
Repeat Problem 17.10 assuming that the stock price follows a stochastic volatility model with the stock price and its volatility positively correlated.
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We can represent these processes using the following equations: dS = μS dt + σS dW1 dσ = α(θ - σ) dt + βσ dW2 Here, μ is the expected return, α is the speed of mean reversion, θ is the long-term mean volatility, and β is the volatility of volatility. W1 and W2 Show more…
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Random Walk Down Wall Street? Does a stock price fluctuate randomly from day to day? To answer this question, a stock analyst selected 48 consecutive days in which the stock of Boeing Corporation was traded and computed the daily percentage change in the stock. He indicated positive percentage changes with a P and negative percentage changes with an N. The results are in the following table. What conclusion will the analyst reach if he tests the hypothesis that the stock price fluctuates randomly from day to day at the $\alpha=0.05$ level of significance? $$\begin{array}{cc|cc|cc} \text { Date } & \text { Return } & \text { Date } & \text { Return } & \text { Date } & \text { Return } \\ \hline 11 / 22 / 2010 & \mathrm{N} & 12 / 15 / 2010 & \mathrm{N} & 1 / 7 / 2011 & \mathrm{P} \\ \hline 11 / 23 / 2010 & \mathrm{N} & 12 / 16 / 2010 & \mathrm{P} & 1 / 10 / 2011 & \mathrm{N} \\ \hline 11 / 24 / 2010 & \mathrm{P} & 12 / 17 / 2010 & \mathrm{P} & 1 / 11 / 2011 & \mathrm{N} \\ \hline 11 / 26 / 2010 & \mathrm{N} & 12 / 20 / 2010 & \mathrm{N} & 1 / 12 / 2011 & \mathrm{P} \\ \hline 11 / 29 / 2010 & \mathrm{N} & 12 / 21 / 2010 & \mathrm{P} & 1 / 13 / 2011 & \mathrm{N} \\ \hline 11 / 30 / 2010 & \mathrm{N} & 12 / 22 / 2010 & \mathrm{P} & 1 / 14 / 2011 & \mathrm{P} \\ \hline 12 / 1 / 2010 & \mathrm{P} & 12 / 23 / 2010 & \mathrm{P} & 1 / 18 / 2011 & \mathrm{P} \\ \hline 12 / 2 / 2010 & \mathrm{P} & 12 / 27 / 2010 & \mathrm{N} & 1 / 19 / 2011 & \mathrm{N} \\ \hline 12 / 3 / 2010 & \mathrm{N} & 12 / 28 / 2010 & \mathrm{P} & 1 / 20 / 2011 & \mathrm{N} \\ \hline 12 / 6 / 2010 & \mathrm{P} & 12 / 29 / 2010 & \mathrm{P} & 1 / 21 / 2011 & \mathrm{P} \\ \hline 12 / 7 / 2010 & \mathrm{N} & 12 / 30 / 2010 & \mathrm{N} & 1 / 24 / 2011 & \mathrm{P} \\ \hline 12 / 8 / 2010 & \mathrm{P} & 12 / 31 / 2010 & \mathrm{P} & 1 / 25 / 2011 & \mathrm{N} \\ \hline 12 / 9 / 2010 & \mathrm{N} & 1 / 3 / 2011 & \mathrm{P} & 1 / 26 / 2011 & \mathrm{N} \\ \hline 12 / 10 / 2010 & \mathrm{N} & 1 / 4 / 2011 & \mathrm{P} & 1 / 27 / 2011 & \mathrm{P} \\ \hline 12 / 13 / 2010 & \mathrm{N} & 1 / 5 / 2011 & \mathrm{P} & 1 / 28 / 2011 & \mathrm{N} \\ \hline 12 / 14 / 2010 & \mathrm{P} & 1 / 6 / 2011 & \mathrm{P} & 1 / 31 / 2011 & \mathrm{P} \end{array}$$
Nonparametric Statistics
Runs Test for Randomness
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