Question: Your instructor conducts equity volatility research using a generalized autoregressive conditional heteroscedasticity (GARCH) model. The first two equations in one of his research papers are:
Your instructor conducts equity volatility research using a generalized autoregressive conditional heteroscedasticity (GARCH) model. The first two equations in one of his research papers are: Ri,t,y=i,y+i,yRm,t,y+i,t,y,it,yN(0,hi,t,y)hit,y=0,y+1,yhit1,y+2,yi,t1,y2 (Equation \#1) (Equation \# \#2) where R1,t, and Rm,ty are the daily stock retums on firm i at day t for year y and the value weighted US market return on day , for year y, respectively, i,y is the residual firm-specific component of (abnormal) returns, while hi,t,y represents conditional variance, Which FIN 3200 equation is the best substitute for the equation pair provided above? Var(R)=R2=i=1N(pi(E(ri)E(R))2)NPV0=PVInflowsPVOutflows=i=0T(1+r)tCtr=g+P0C1=P0P1P0+C1PVA0=rgC1[1(1+r1+g)t]CAPMtRi=Rrf+i(RmRrf)
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