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Wyświetlanie 1-4 z 4
Tytuł:
A recursive procedure for selecting optimal portfolio according to the MAD model
Autorzy:
Michałowski, W.
Ogryczak, W.
Powiązania:
https://bibliotekanauki.pl/articles/205763.pdf
Data publikacji:
1999
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
optymalizacja
programowanie liniowe
downside risk aversion
investment
linear programming
portfolio optimization
quadratic programming
risk management
Opis:
The mathematical model of portfolio optimization is usually represented as a bicriteria optimization problem where a reasonable trade-off between expected rate of return and risk is sought. Im a classical Markowitz model the risk is measured by a variance, thus resulting in a quadratic programming model. As an alternative, the MAD model was proposed where risk is measured by (mean) absolute deviation instead of a variance. The MAD model is computationally attractive, since it is transformed into an easy to solve linear programming program. In this paper we poesent a recursive procedure which allows to identify optimal portfolio of the MAD model depending on investor's downside risk aversion.
Źródło:
Control and Cybernetics; 1999, 28, 4; 725-738
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Two factors utility approach
Autorzy:
Kulikowski, R.
Powiązania:
https://bibliotekanauki.pl/articles/206747.pdf
Data publikacji:
1998
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
optymalizacja
expected return
investment allocation
optimum investment strategies
portfolio optimization
portfolio variance
risk aversion
utility function
worse case return
Opis:
This paper deals with optimization of portfolios composed of securities (equities). The drawbacks of existing methodologies, based on a single factor utility function, are indicated. The two-factor utility function introduced takes into account the expected excess return and expected worst case return (both in monetary units). Assuming that utility is "risk averse" and "constant returns to scale", a theorem on existence of optimum strategy of investments is proven. The optimum strategy is derived in an explicit form. A numerical example is also given.
Źródło:
Control and Cybernetics; 1998, 27, 3; 417-428
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Portfolio optimization - two rules approach
Autorzy:
Kulikowski, R.
Powiązania:
https://bibliotekanauki.pl/articles/206858.pdf
Data publikacji:
1998
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
optymalizacja
optymalizacja portfela
expected return
investment allocation
optimum investment strategies
portfolio optimization
portfolio variance
risk aversion
utility function
worse case return
Opis:
The new approach to the portfolio optimization, based on the concept of two-factor utility function, is proposed. The first factor describes the expected average profit, while the second - the worse case profit. Then, two rules enabling one to compose an optimum portfolio are formulated. The first rule determines the level of acceptance for all assets with given risk/return ratio. The second rule enables one to allocate the investment fund among all the accepted assets. The methodology proposed does not require to specify the individual utility function in an explicit form. It can be used to optimize portfolios composed of equities as well as bond and other securities, using a passive or - active management strategy.
Źródło:
Control and Cybernetics; 1998, 27, 3; 429-446
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic asset allocation under uncertainty for pension fund management
Autorzy:
Pflug, G.
Świętanowski, A.
Powiązania:
https://bibliotekanauki.pl/articles/205561.pdf
Data publikacji:
1999
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
model finansowy
optymalizacja stochastyczna
podejmowanie decyzji
procesy Markowa
asset liability management
financial modeling
investment
pension fund management
portfolio
risk management
stochastic dynamic optimization
Opis:
Decision making in managing the asset and liability structure of a pension fund can be supported by stochastic dynamic optimization. We discuss our model, which is based on data analysis and forecast for the asset-side as well as a simulation model for the liability side. The core of our decision support system consists of the following building blocks : a set of securities, a pricing module based on a multifactor Markov model to derive expected returns of securities, a simulation-based model for liabilities, a carefully chosen objective function suitable for the pension fund and a stochastic optimization problem solver. We consider the use of different objectives in the model and decomposition techniques to solve the stochastic portfolio optimization problem. Our final goal is to design an efficient parallel implementation.
Źródło:
Control and Cybernetics; 1999, 28, 4; 755-777
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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