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Dynamic Portfolio Strategies

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Title: Dynamic Portfolio Strategies


1
Dynamic Portfolio Strategies
  • Part 4
  • Portfolio Choice Strategic Asset Allocation

2
Strategic Asset Allocation
  • Well now consider the problem of an investor who
    would like to save some portion of their current
    wealth.
  • Well limit our attention to two asset classes
  • A riskless investment (bonds) with relatively low
    returns.
  • A risky investment (stocks) with relatively high
    returns.
  • The strategic asset allocation problem is to
    decide what portion of current wealth to invest
    in each class.

3
Portfolio Selection
  • Investors will form a portfolio from these two
    assets.
  • The return on the portfolio will be a weighted
    average of the individual assets simple returns

4
Portfolio Returns
  • Note
  • There is a technical problem here. Weve assumed
    that the stock return is lognormal but the
    portfolio return is not.
  • The saved wealth is directly proportional to the
    return, and it is not lognormal either.
  • The portfolio weights must add to 1, but are not
    necessarily positive (borrowing and lending of
    both the stock and bond are allowed).

5
Portfolio Theory - The Markowitz Approach
  • Assumptions
  • Investors want to buy and hold a portfolio of
    risky stocks.
  • The investors like high expected returns, dont
    like high variance (equivalently standard
    deviation) and dont care about other aspects of
    portfolio return distributions.

6
The Mean-Variance Tradeoff
  • In the absence of arbitrage opportunities, the
    set of returns from all securities gives rise to
    an efficient frontier.
  • The efficient frontier bounds the tradeoffs that
    are available between mean and variance by
    trading in all securities.

7
Mean-Variance Analysis
Efficient mean/ std. dev. tradeoffs
All possible mean/std. dev. tradeoffs
8
Mean-Variance Analysis
9
Utility
  • Investors are typically thought of as being risk
    averse
  • When given the choice between
  • a) a riskless payment of 10 and
  • b) a 50/50 chance of 20 or 0
  • most people choose a).
  • This is a consequence of diminishing marginal
    utility of wealth.

10
Diminishing Marginal Utility
Utility
Low Marginal Utility
High Marginal Utility
Wealth
11
Indifference Curves
  • If investors have utility functions of a special
    type, they only care about mean and variance.
    (More on this later.)
  • Indifference curves define sets of mean-standard
    deviation pairs that make an investor equally
    well off.

12
Indifference Curves
Mean
Higher Utility
Indifference Curves
Standard Deviation
13
Combining Utility Theory and Mean-Variance Theory
14
Mean-Variance Analysis
  • Properties of MV frontier
  • Higher mean returns can only be achieved by
    increasing portfolio variance.
  • More risk-tolerant investors will choose higher
    variance portfolios but receive higher expected
    returns.
  • These efficient portfolios can be calculated if
    we know the covariance matrix.
  • There are companies who will calculate return
    covariances for you (e.g. BARRA)

15
Portfolio Separation
  • An important result
  • all efficient portfolios are a combination of the
    same two efficient portfolios!
  • Implication
  • If there were no information issues and investors
    cared only about mean and variance, only two
    mutual funds would be required to satisfy all
    investors stock market demands.

16
Mean-Variance Analysis
17
Risk-free Borrowing and Lending
  • You can expand the efficient set if risk-free
    borrowing and lending are possible.
  • If you invest (1-?) in t-bills and ? in an
    efficient portfolio the mean and variance of the
    portfolio are

18
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19
Efficient Set
Tangency portfolio
20
Portfolio Separation
  • If there were no information issues and investors
    cared only about mean and variance, only t-bills
    and one mutual fund (the tangency portfolio)
    would be required to satisfy all investors stock
    market demands.
  • Investments in this tangency portfolio and
    t-bills dominate all other investments.

21
Commonly-used Utility Functions
  • The class of power utility functions are commonly
    employed for the purposes of determining
    portfolio allocations.

22
Maximizing Utility
  • A formal definition of an investors asset
    allocation problem can now be given
  • In words, the problem is to select the asset mix
    that maximizes utility.
  • The investor will make a tradeoff between risk
    and expected return.

23
Mean-Variance Preferences
  • A useful benchmark is the solution to the problem
    of an investor who likes mean but dislikes
    variance (note that this is not a utility
    function as described above)

24
Mean-Variance Preferences
  • This investors optimal portfolio is given by
  • Note
  • S is the Sharpe ratio which is constant for all
    portfolios.
  • The more the investor dislikes variance, the less
    is invested in the risky asset.

25
Maximizing Utility
  • The solution to the portfolio problem in the
    power utility case has no convenient form.
  • If the forecasting horizon is very short, some
    convenient approximations may be used.
  • For longer horizons, numerical solutions can be
    constructed.

26
Maximizing Utility Numerical Solutions by
Simulation
  • The solution to the portfolio choice problem in
    the power utility case must solve
  • This is a non-linear equation in ? to which we
    can find an approximate solution using SOLVER in
    excel.

27
Solution Strategy
  • To solve the equation we need to find a
    convenient way to form the expectation.
  • Using a large number of simulated excess returns
    (the Zt) we can represent this expectation
    arbitrarily accurately with a sum

28
Solution Strategy
  • The solution to the non-linear equation then
    gives an arbitrarily accurate appropriate asset
    allocation for the investor
  • The benefit of this approach is that the effect
    of horizon on asset allocation can be examined in
    a quantitative way.

29
Strategic Asset Allocation Example 1
  • Suppose an index has IID return dynamics.
    Expected returns are 1 per month with a standard
    deviation of 4 per month. The risk-free rate is
    a constant .5 per month. Determine an optimal
    asset allocation for an investor with power
    utility and ? each of (2, 5, 10) if the investing
    horizon is
  • 1 year.
  • 5 years.

30
Strategic Asset Allocation Example 2
  • Suppose an index has return dynamics as given by
    the VAR model we studied earlier. Determine an
    optimal asset allocation for an investor with
    power utility and ? each of (2, 5, 10) if the
    investing horizon is
  • 1 year.
  • 5 years.
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