Suppose that the monthly log returns of GE stock, measured in percentages, follow a smooth threshold IGARCH(1,1) model. For the sampling period from January 1926 to December 2008, the fitted model is r; = 1.14 + a;, a; = 0;€; 1 of = 0.119a-1 + 0.881o1+ -(4.276 – 0.08401), 1+ exp(-10a,-1) where all of the estimates are highly significant, the coefficient 10 in the exponent is fixed a priori to simplify the estimation, and {e;} are iid N(0, 1). Assume that a996 = -5.06 and o6 = 50.5. What is the 1-step-ahead volatility forecast ô996 (1)? Suppose instead that a996 = 5.06. What is the 1-step-ahead volatility forecast ô996(1)?
Suppose that the monthly log returns of GE stock, measured in percentages, follow a smooth threshold IGARCH(1,1) model. For the sampling period from January 1926 to December 2008, the fitted model is r; = 1.14 + a;, a; = 0;€; 1 of = 0.119a-1 + 0.881o1+ -(4.276 – 0.08401), 1+ exp(-10a,-1) where all of the estimates are highly significant, the coefficient 10 in the exponent is fixed a priori to simplify the estimation, and {e;} are iid N(0, 1). Assume that a996 = -5.06 and o6 = 50.5. What is the 1-step-ahead volatility forecast ô996 (1)? Suppose instead that a996 = 5.06. What is the 1-step-ahead volatility forecast ô996(1)?
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
Problem 25EQ
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