L5 - Optimal Diversification II Flashcards

1
Q

Langrangian optimisation recap?

A
  1. put in the form max(L) = maximisation conditions + λ(constraint = 0)
  2. find FOC
  3. solve x and y simultaneously
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2
Q

What is the mathematical maximisation problem fund managers are facing?

A
  • Minimise the risk for any given level of return
  • subject to some return we are aiming for and that the weights need to sum to 1
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3
Q

What is the matrix transformation of the optimisation problem?

A
  • L = 0.5*variance - λ(expected return - desired expected return) - µ(weight matrix - equal 1)
    • both terms are the constraints set equal to 0
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4
Q

how do you derive the variance in matrix form?

A
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5
Q

Example of mean-variance model used on two assets?

A
  • round to three decimal places
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6
Q

How do you derive the minimum variance portfolio?

A
  • minimising the variance without the restriction on the return
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7
Q

What is the two-fund separation theory?

A
  • You can combine any two funds in a linear fashion to get any portfolio risk-return that lies on the efficient frontier
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8
Q

What is the lagrangian optimisation problem when we consider a risky portfolio and a risk-free asset?

A
  • add to the first constraint (has part of the fund ‘x’ in the risky asset)
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9
Q

What is the tangency portfolio for a risk-free and risky asset example?

A
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10
Q

What is an easier way to derive the tangency portfolio?

A
  • all in excess return
    • need to know this method and the matrix method as might be asked to do either in the exam
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11
Q

how would we then calculate the optimal complete portfolio?

A
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12
Q

Steps for investing without a risk-free asset?

A
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13
Q

Steps for investing with a risk-free asset?

A
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14
Q

Steps for investing on the CAL?

A
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