1. Explain what is meant by Best Linear Unbiaesd Estimator?BLUE?. Which assumptions about the error term ?t must hold, in order for ordinary least squares ?OLS?to be BLUE? 2. Using formulas where appropriate, explain why OLS estimates of Eq.1 are of interest for financial risk management. why is Eq.1 specified in first differences rather than the levels of the variables.

Part B Consider the simple regression model (1) ASt = a+BAF+ + Et where St is the natural logarithm spot price of the Apple stock, Ft is the natural logarithm of the forward price, and & is a white noise error term. 1