One popular concept in stock market pricing is called martingale pricing, which is relevant to rational expectations or the "efficient market hypothesis" in economic theories. A rough statement on this concept is that the logarithm of the stock market price (pt) (e.g. S&P 500 index) is supposed to reflect all the relevant information available up to time t, denoted as E[p|Ft-1] = Pt-1. Therefore, pt log Pt is a martingale.
Under the martingale pricing, it can be shown that the continuously compounded (cc) return for the stock market price is a martingale difference sequence (mds). In what follows, let's assume that the cc return, denoted as rt, is a covariance stationary process.
Prove the following statements:
i. If rt is iid, then rt is an mds.
ii. If rt is an mds, then rt is a weak white noise.
Prove the following statements:
i. If {rt} is iid, then it is strictly stationary.
ii. If {rt} is strictly stationary and E[rt^2] < infinity, then it is covariance stationary.