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Suppose {rt} represents the continuously compounded weekly return on a stock such that each return is independently identically distributed as a normal distribution with

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Suppose {rt} represents the continuously compounded weekly return on a stock such that each return is independently identically distributed as a normal distribution with mean 0.25% and standard deviation 3%. Assume that a month refers to 4 weeks. We'll be discussing {rt(m)}, the time series of the monthly returns on a basis, i.e. weeks 1 - 4 comprise month 1, weeks 2 - 5 comprise month 2, and so on. 22. What is the mean monthly return? 23. What is the standard deviation of the monthly returns? 24. What is the lag-1 autocovariance of the monthly returns? 25. What is the lag-1 autocorrelations of the monthly returns? 26. How many lag-k autocovariances will be non-zero?

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