This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: J. Wissel Financial Engineering with Stochastic Calculus I Fall 2010 Assignment Sheet 3 1. Let X be a random variable on a probability space (Ω , F ,P ) with E [ X 2 ] < ∞ and G ⊂ F a sub- σ-algebra. a) Show that Y * := E [ X |G ] satisfies E [( X- Y * ) 2 ] ≤ E [( X- Y ) 2 ] (1) for all G-measurable random variables Y with E [ Y 2 ] < ∞ . Moreover, show that if we have equality in (1) for some Y , then Y = Y * a.s. Hint. Consider E [( X- Y ) 2- ( X- Y * ) 2 |G ]. Remark. This result says that the conditional expectation E [ X |G ] minimizes the variance of the error Y- X among all G-measurable estimates Y for X . b) Let Y be a G-measurable random variable with E [ Y 2 ] < ∞ . Show that Cov X- E [ X |G ] ,Y = 0. 2. a) Let M ( t ), t ≥ 0 be a martingale for a filtration ( F t ) t ≥ with E M ( t ) 2 < ∞ for all t ≥ 0. Show that E ( M ( t )- M (0) ) 2 = m- 1 X j =0 E ( M ( t j +1 )- M ( t j ) ) 2 for any times 0 = t < t 1 < ... < t m = t ....
View Full Document
This note was uploaded on 01/25/2011 for the course ORIE 5600 at Cornell.