April 2013 Q4

Discussion in 'CM2' started by Darragh Kelly, Mar 11, 2022.

  1. Darragh Kelly

    Darragh Kelly Ton up Member

    Hi,

    I'm struggling to get the same answer to part (ii) April 2013 Q4.

    I've used formula Var(rm) = E(rm^2)-[E(rm)]^2

    For E(rm^2) I've calculated it using following method:
    E(rm^2) = Xa*Ea^2 + Xb*Eb^2 + Xc*Ec^2 + Xd*Ed^2

    Where Xa = 10/100 Xb= 20/100 Xc= 40/100 Xd= 30/100
    and
    Ea^2 = =3^2*(0.25) + 5^2*(0.5) +7^2*(0.25)
    Eb^2 = =3^2*(0.25) + 7^2*(0.5) +5^2*(0.25)
    Ec^2 = =3^2*(0.25) + 2^2*(0.5) +8^2*(0.25)
    Ed^2 = =3^2*(0.25) + 8^2*(0.5) +1^2*(0.25)

    My method is incorrect just would like to know why I can't do it this way.

    Thanks,

    Darragh
     
  2. Steve Hales

    Steve Hales ActEd Tutor Staff Member

    Hi
    rm is a random variable given by:

    rm = Xa*ra + Xb*rb + Xc*rc + Xd*rd

    but each of those separate returns (ra, rb, rc and rd) is also a random variable.

    Finding E[rm] is easy enough because of the linear nature of the expectation operator:

    E[rm] = Xa*E[ra] + Xb*E[rb] + Xc*E[rc] + Xd*E[rd]

    However, finding E[rm^2] from the underlying definition will require more terms than you've suggested:

    E[rm^2] = E[(Xa*ra + Xb*rb + Xc*rc + Xd*rd)^2]

    Hope you can see that it's easier to work with the return on the market under each of the four states.
     
  3. Darragh Kelly

    Darragh Kelly Ton up Member

    Yeah it's much easier that way.
    Thanks for your help.
     

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