Question 6 (Mandatory) (10 points) Service In the estimated GARCH(1.1) with t distribution results for IBM returns (ret_bm) below A) What is the Schwarz criterion and what do you use it for? B) Does the model satisfy standard coefficient restrictions? Explain C) Is the effect of a past returns (ARCH term) significantly different from zero Service at 5% significance level and at 10% significance level? Explain. plain excel sheet.xlsx Title: GARCH Modelling 1: chFit(formula = -garch(1, 1), data = ret_ibm, cond.dist ="std", trace=F) ce plain excel sheet.xlsx Title: GARCH Modelling Call: garchFit (formula = -garch(1, 1), data - ret_ibm, cond.dist "stt". trace-F) Service Estimate std. Error t value Pr>It omega 2.385e-06 1.890e-06 1.262 0.2071 alphal 0.03812 0.02079 1.833 0.0668. betal 0.9406 0.03291 28.582 It omega 2.385e-06 1.890e-06 1.262 0.2071 alphal 0.03812 0.02079 1.833 0.0668. betal 0.9406 0.03291 28.582