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2022 | OriginalPaper | Buchkapitel

11. Optimization with Performance-Attribution Constraints

verfasst von : W. Brent Lindquist, Svetlozar T. Rachev, Yuan Hu, Abootaleb Shirvani

Erschienen in: Advanced REIT Portfolio Optimization

Verlag: Springer International Publishing

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Abstract

How well a portfolio performs is of primary concern for investors and governs investor confidence in the portfolio’s management. Attribution analysis provides measures for how well a portfolio is being managed. While performance-attribution measures have been used traditionally as a diagnostic tool, this chapter introduces the recent development to include these measures as constraints in portfolio optimization. Two such measures, asset allocation and the selection effect, are used to constrain conditional value-at-risk optimization of the domestic REIT portfolio under historical and dynamic optimization. The results are analyzed in terms of price and reward-to-risk performance measures. Performance improvement is then characterized in terms of the attribution measure used as the constraint, the optimization method, and the level of turnover constraint.

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Fußnoten
1
In the original formulation developed by Brinson et al. (1986) (see also Bacon, 2008, Chap. 5), AAi is defined as \( {\mathrm{AA}}_i=\left({w}_i^{(p)}-{w}_i^{(b)}\right){R}_i^{(b)} \). The definition in Biglova and Rachev (2007), which we follow here, uses the excess return \( {R}_i^{(b)}-{R}^{(b)} \) for benchmark class i relative to the entire benchmark return in the definition (8.​1) of AAi. We note that although this modifies the values for AAi relative to that of the original Brinson et al. formulation, the total value, \( \mathrm{AA}={\sum}_{i=1}^M\left({w}_i^{(p)}-{w}_i^{(b)}\right)\left({R}_i^{(b)}-{R}^{(b)}\right)={\sum}_{i=1}^M\left({w}_i^{(p)}-{w}_i^{(b)}\right){R}_i^{(b)}-{\sum}_{i=1}^M\left({w}_i^{(p)}-{w}_i^{(b)}\right){R}^{(b)}={\sum}_{i=1}^M\left({w}_i^{(p)}-{w}_i^{(b)}\right){R}_i^{(b)}-0 \), is in agreement with the total value of AA in the Brinson et al. approach.
 
2
If \( {R}_i^{(p)},{R}_i^{(b)},{R}^{(b)}, \) and rij were simple (i.e., discrete) returns, the formulas in (11.3) would be exact. However, because they are log-returns, such formulas are approximate. For example, to leading order in a Taylor series expansion \( {R}^{(b)}-\sum \limits_{i=1}^M\sum \limits_{j=1}^{q_i}\ {w}_{ij}^{(b)}\mathbbm{E}\left[{r}_{ij}\right]\approx \) \( \frac{1}{2}\left[\sum \limits_{i=1}^M\sum \limits_{j=1}^{q_i}\ {w}_{ij}^{(b)}\mathbbm{E}{\left[{r}_{ij}\right]}^2-{\left(\sum \limits_{i=1}^M\sum \limits_{j=1}^{q_i}\ {w}_{ij}^{(b)}\mathbbm{E}\left[{r}_{ij}\right]\right)}^2\right] \).
 
3
Also a requirement for class i to be in the portfolio.
 
4
If the underlying profit–loss distribution is continuous, then the definitions of ETL [also known as tail conditional expectation (TCE) or tail value-at-risk (TVaR)] and CVaR [also known as expected shortfall (ES) or average value-at-risk (AVaR)] coincide. In the general case, however, CVaR is a coherent risk measure whereas ETL is not.
 
5
In contrast to Chap. 3, here we use the notation w to refer to vector transpose to avoid confusion with the time value T.
 
6
This assumes that benchmark weight values can be obtained in a timely manner and are not part of the optimization.
 
7
Thus, Q = N and qi = ni, i = 1, …, M.
 
8
In all the optimizations, whether for α = 0.95 or α = 0.99, only the historical, \( {\mathrm{P}}_{0.95}^2 \), optimization with no turnover constraint recorded a timestep (and in fact, only two timesteps) in which an empty feasible set was obtained when attempting a solution using penalty terms. For those two timesteps, optimum weight values from the previous timestep were used.
 
9
To within a relative constraint tolerance of ∣10−6∣ imposed by the sqp solver utilized in the optimization.
 
Literatur
Zurück zum Zitat Artzner, P., Delbaen, F., Eber, J.-M., & Heath, D. (1999). Coherent measures of risk. Risk, 10, 203–228. Artzner, P., Delbaen, F., Eber, J.-M., & Heath, D. (1999). Coherent measures of risk. Risk, 10, 203–228.
Zurück zum Zitat Bacon, C. R. (2008). Practical portfolio performance measurement and attribution (2nd ed.). Wiley. Bacon, C. R. (2008). Practical portfolio performance measurement and attribution (2nd ed.). Wiley.
Zurück zum Zitat Biglova, A., & Rachev, S. T. (2007). Portfolio performance attribution. Investment Management and Financial Innovations, 4, 7–22. Biglova, A., & Rachev, S. T. (2007). Portfolio performance attribution. Investment Management and Financial Innovations, 4, 7–22.
Zurück zum Zitat Brinson, G. P., & Fachler, N. (1985). Measuring non-United-States equity portfolio performance. Journal of Portfolio Management, 11, 73–76.CrossRef Brinson, G. P., & Fachler, N. (1985). Measuring non-United-States equity portfolio performance. Journal of Portfolio Management, 11, 73–76.CrossRef
Zurück zum Zitat Brinson, G. P., Hood, L. R., & Beebower, G. L. (1986). Determinants of portfolio performance. Financial Analysts Journal, 42, 39–44.CrossRef Brinson, G. P., Hood, L. R., & Beebower, G. L. (1986). Determinants of portfolio performance. Financial Analysts Journal, 42, 39–44.CrossRef
Zurück zum Zitat Gava, J., Guevara, F., & Turc, J. (2021). Turning tail risks into tailwinds. Journal of Portfolio Management, 47(4), 41–70.CrossRef Gava, J., Guevara, F., & Turc, J. (2021). Turning tail risks into tailwinds. Journal of Portfolio Management, 47(4), 41–70.CrossRef
Zurück zum Zitat JP Morgan. (1996). Risk metrics technical manual (4th ed.). JP Morgan. JP Morgan. (1996). Risk metrics technical manual (4th ed.). JP Morgan.
Zurück zum Zitat Konno, H., & Yamazaki, H. (1991). Mean-absolute deviation portfolio optimization model and its application to Tokyo stock market. Management Science, 37, 519–531.CrossRef Konno, H., & Yamazaki, H. (1991). Mean-absolute deviation portfolio optimization model and its application to Tokyo stock market. Management Science, 37, 519–531.CrossRef
Zurück zum Zitat Markowitz, H. (1952). Portfolio selection*. Journal of Finance, 7, 77–91. Markowitz, H. (1952). Portfolio selection*. Journal of Finance, 7, 77–91.
Zurück zum Zitat Pflug, G. C. (2000). Some remarks on the value-at-risk and the conditional value-at-risk. In S. P. Uryasev (Ed.), Probabilistic constrained optimization: Methodology and applications (pp. 272–281). Springer.CrossRef Pflug, G. C. (2000). Some remarks on the value-at-risk and the conditional value-at-risk. In S. P. Uryasev (Ed.), Probabilistic constrained optimization: Methodology and applications (pp. 272–281). Springer.CrossRef
Zurück zum Zitat Rachev, S. T., Martin, R. D., Racheva, B., & Stoyanov, S. (2009). Stable ETL optimal portfolios and extreme risk management. In G. Bol, S. T. Rachev, & R. Würth (Eds.), Risk assessment (pp. 235–262). Physica-Verlag HD. Rachev, S. T., Martin, R. D., Racheva, B., & Stoyanov, S. (2009). Stable ETL optimal portfolios and extreme risk management. In G. Bol, S. T. Rachev, & R. Würth (Eds.), Risk assessment (pp. 235–262). Physica-Verlag HD.
Zurück zum Zitat Rockafellar, R. T., & Uryasev, S. (2000). Optimization of conditional value-at-risk. Journal of Risk, 2, 21–41.CrossRef Rockafellar, R. T., & Uryasev, S. (2000). Optimization of conditional value-at-risk. Journal of Risk, 2, 21–41.CrossRef
Metadaten
Titel
Optimization with Performance-Attribution Constraints
verfasst von
W. Brent Lindquist
Svetlozar T. Rachev
Yuan Hu
Abootaleb Shirvani
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-031-15286-3_11