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Portfolio optimization

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Financial Mathematics

Part of the book series: Unitext ((UNITEXTMAT))

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Abstract

This chapter concerns portfolio optimization, which is one of the historically first problems in financial mathematics. Indeed, one of the basic problems that a given subject (physical person or institution), possessing a certain amount of wealth, has to deal with is the following: how to invest this wealth in the financial market over a given period of time in order to be able to consume optimally (according to a given criterion) from this portfolio over time and at the end have a residual amount leading to benefit, also this one optimal according to a given criterion. The optimality criterion that we shall consider is the most common one, namely the maximization of expected utility of the various monetary amounts.

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Notes

  1. 1.

    1Since we are interested in the utility maximization problem, putting u(v) = −∞ for v ∈ ℝ \ I is equivalent to excluding values outside the interval I from being optimal.

  2. 2.

    2Recall that by our assumptions a≤ 0 and 1 + r> 0.

  3. 3.

    3For a full proof see for example Proposition 2.7.2 in [7].

  4. 4.

    For example, in the one-period case, assuming for simplicity r = 0, we havethat \( Q\in {\mathbb{R}}_{+}^M \) is a martingale measure if

    figure a
  5. 5.

    5The inequality “≥” is obvious. To show the inverse inequality, fix ε> 0 and consider functions η ε N , …, η ε N such that

    figure b

    Then, in the mean, we obtain

    figure c

    from which the thesis follows, given the arbitrariness of ε.

  6. 6.

    6It holds, furthermore, that C max N (υ) = υ.

  7. 7.

    It holds, furthermore, that C maxN (v) = v.

  8. 8.

    It holds, furthermore, that C maxN (v) = v.

  9. 9.

    If V n–1 = 0 then V n K for any π n ∈ ℝ

  10. 10.

    M can be computed explicitly as in (2.129).

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© 2012 Springer-Verlag Italia

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Pascucci, A., Runggaldier, W.J. (2012). Portfolio optimization. In: Financial Mathematics. Unitext(). Springer, Milano. https://doi.org/10.1007/978-88-470-2538-7_2

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