Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "portfolio" wg kryterium: Temat


Tytuł:
A condition for asset redundancy in the mean-variance model of portfolio investment
Autorzy:
Juszczuk, Przemysław
Kaliszewski, Ignacy
Miroforidis, Janusz
Podkopaev, Dmitry
Powiązania:
https://bibliotekanauki.pl/articles/2050025.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
modern portfolio theory
Markowitz model
meanvariance portfolio optimization
asset redundancy
problem size
Opis:
The mean-variance approach to portfolio investment exploits the fact that the diversification of investments by combination of different assets in one portfolio allows for reducing the financial risks significantly. The mean-variance model is formulated as a bi-objective optimization problem with linear (expected return) and quadratic (variance) objective functions. Given a set of available assets, the investor searches for a portfolio yielding the most preferred combination of these objectives. Naturally, the search is limited to the set of non-dominated combinations, referred to as the Pareto front. Due to the globalization of financial markets, investors nowadays have access to large numbers of assets. We examine the possibility of reducing the problem size by identifying those assets, whose removal does not affect the resulting Pareto front, thereby not deteriorating the quality of the solution from the investor’s perspective. We found a sufficient condition for asset redundancy, which can be verified before solving the problem. This condition is based on the possibility of reallocating the share of one asset in a portfolio to another asset without deteriorating the objective function values. We also proposed a parametric relaxation of this condition, making it possible to removemore assets for a price of a negligible deterioration of the Pareto front. Computational experiments conducted on five real-world problems have demonstrated that the problem size can be reduced significantly using the proposed approach.
Źródło:
Control and Cybernetics; 2020, 49, 2; 179-191
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An interactive compromise programming for portfolio investment problem
Autorzy:
Karelkina, Olga
Powiązania:
https://bibliotekanauki.pl/articles/2050029.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
modern portfolio theory
Markowitz model
meanvariance portfolio optimization
interactive multicriteria optimization
parameterized achievement scalarizing functions
Opis:
This paper addresses an approach for solving multicriteria portfolio investment problem. The original Markowitz mean-variance model is formulated as a problem of bi-objective optimization with linear and quadratic objective functions. In the current work, this model is extended by introducing a new objective, reflecting asset properties that are useful for the portfolio allocation process. A method based on parameterized achievement scalarizing function is applied to produce Pareto optimal portfolios. A mathematical programming formulation that allows for solving the problem with conventional optimization methods is presented. In addition, a method of reflecting the decision maker’s preferences by means of changing the weights in the achievement scalarizing functions is introduced. A decision making process is simulated for the three-objective portfolio optimization problem.
Źródło:
Control and Cybernetics; 2020, 49, 2; 193-210
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On the quasi-efficient frontier of the set of optimal portfolios under hybrid uncertainty with short sales allowed
Autorzy:
Rogonov, Stepan A.
Soldatenko, Ilia S.
Yazenin, Alexander V.
Powiązania:
https://bibliotekanauki.pl/articles/31342749.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
portfolio selection model
hybrid uncertainty
possibility
necessity
quasi-efficient solutions
minimum risk portfolio frontier
fuzzy random variable
Opis:
The paper describes the methods for constructing a quasi-efficient frontier of minimum risk portfolio under conditions of hybrid uncertainty with allowed short sales. Investor’s acceptable level of expected return is defined in crisp and fuzzy forms. Obtained results are illustrated on a model example. The dependence of the quasi-efficient frontier on the value of α-level is investigated.
Źródło:
Control and Cybernetics; 2022, 51, 4; 445-466
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:
Portfolio selection model with information cost
Autorzy:
Banek, T.
Kowalik, P.
Kozłowski, E.
Powiązania:
https://bibliotekanauki.pl/articles/206860.pdf
Data publikacji:
1999
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
model stochastyczny
programowanie nieliniowe
Fischer information
information cost
portfolio
Opis:
A portfolio planning model which takes into account a cost of purchase of market information is considered. In the presented model, the objective of the investor is to maximize probability of attaining or exceeding the required return z. It is shown that the presented stochastic model reduces to a nonlinear programming problem that can be solved efficiently.
Źródło:
Control and Cybernetics; 1999, 28, 1; 89-99
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Performance of robust portfolio optimization in crisis periods
Autorzy:
Balcilar, M.
Ozun, A.
Powiązania:
https://bibliotekanauki.pl/articles/205665.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
robust control procedures
RobustRisk
portfolio optimization
Monte Carlo simulation
global crisis
Opis:
We examin empirical performances of two alterna- tive robust optimization models, namely the worst-case conditional value-at-risk (worst-case CVaR) model and the nominal conditional value-at-risk (CVaR) model in crisis periods. Both models are based on historical value-at-risk methodology. These performances are compared by using a portfolio constructed on the basis of daily clos- ing values of different stock indices in developed markets using data from 1990 to 2013. An empirical evidence is produced with Ro- bustRisk software application. Both a Monte-Carlo simulation and an out-of-sample test show that robust optimization with worst-case CVaR model outperforms the nominal CVaR model in the crisis peri- ods. However, the trade-off between model misspecification risk and return maximization depending on the market movements should be optimized in a robust model selection.
Źródło:
Control and Cybernetics; 2013, 42, 4; 855-871
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Information pricing for portfolio optimization
Autorzy:
Banek, T.
Kulikowski, R.
Powiązania:
https://bibliotekanauki.pl/articles/970590.pdf
Data publikacji:
2003
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
wartość informacji
martyngał
optymalizacja portfela inwestycyjnego
value of information
martingale
portfolio optimization
Opis:
We consider the following problem: is there a rational or fair price for the reports made by analysts, experts, investor advisers concerning the rate of return (RR) of investments? We define the notion of the value of information included in the family of probability distributions of the RR. Next, we illustrate this notion for a linear-quadratic utility function.
Źródło:
Control and Cybernetics; 2003, 32, 4; 867-882
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multiobjective duality for the Markowitz portfolio optimization problem
Autorzy:
Wanka, G.
Powiązania:
https://bibliotekanauki.pl/articles/206011.pdf
Data publikacji:
1999
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
dualność
optymalizacja
duality
expected return
investment
Markowitz model
optimality conditions
portfolio optimization
Opis:
The classical Markowitz approach to portfolio selection leads to a biobjective optimization problem where the objectives are the expected return and the variance of a portfolio. In this paper a biobjective dual optimization problem to the Markowitz portfolio optimization problem is introduced and analyzed. For the Markowitz problem and its dual, weak and strong vector duality assertions are derived. The optimality conditions are also verified.
Źródło:
Control and Cybernetics; 1999, 28, 4; 691-702
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
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:
Model of a minimal risk portfolio under hybrid uncertainty
Autorzy:
Yazenin, Alexander V.
Soldatenko, Ilia S.
Powiązania:
https://bibliotekanauki.pl/articles/2183461.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
minimum risk portfolio
hybrid uncertainty
possibility
necessity
strongest t-norm
weakest t-norm
fuzzy random variable
Opis:
The article is devoted to the development and study of a model of a minimal risk portfolio under conditions of hybrid uncertainty of possibilistic-probabilistic type. In this model, the interaction of fuzzy parameters is described by both the strongest and the weakest triangular norms. The formula for variance of a portfolio is given that allows for estimating its risk. Models of acceptable portfolios are based on the principle of expected possibility or on the basis of fulfilling the restriction on the possibility/necessity and probability of the level of portfolio return that is acceptable to an investor. Equivalent deterministic analogues of the models are constructed and their solution methods are developed. Theorems describing a set of investment opportunities are proven. The obtained results are demonstrated on a model example.
Źródło:
Control and Cybernetics; 2021, 50, 2; 315--333
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On an operational model of single investment selection with information cost
O pewnym operatywnym modelu wyboru pojedynczej inwestycji z kosztem informacji
Autorzy:
Banek, T.
Kozłowski, E.
Powiązania:
https://bibliotekanauki.pl/articles/206710.pdf
Data publikacji:
2003
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
portfel inwestycyjny
koszt informacji
informacja Fishera
optymalny czas zakończenia
portfolio
information cost
Fisher information
optimal stopping time
Opis:
An operational model of portfolio selection is presented. The target of a risk-neutral investor is to select the best portfolio composed of assets with the highest rate of return. The term "best" means that probability of attaining the return required by an investor is the largest for all possible stopping times, for which s/he has the right to buy information concerning the random vector of returns from investments (assets).
Zaprezentowano pewien operatywny model wyboru portfela inwestycyjnego. Celem inwestora neutralnego względem ryzyka jest wybór najlepszego portfela złożonego z walorów o najwyższych stopach zwrotu. Pojęcie "najlepszy" oznacza, że prawdopodobieństwo osiągnięcia zwrotu wymaganego przez inwestora jest najwyższe dla wszystkich możliwych czasów stopu, przy których inwestor ma prawo zakupu informacji dotyczącej losowego wektora zwrotów z inwestycji (z walorów).
Źródło:
Control and Cybernetics; 2003, 32, 1; 87-102
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Numerical simulations of a portfolio selection model with information cost
Autorzy:
Banek, T.
Kowalik, P.
Kozłowski, E.
Powiązania:
https://bibliotekanauki.pl/articles/205773.pdf
Data publikacji:
2000
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
optymalizacja
programowanie stochastyczne
symulacja numeryczna
covariance matrices
investment
numerical simulations
portfolio
purchase of information
Warsaw Stock Exchange
Opis:
Results of numerical simulations of a portfolio selection model with information cost are presented. Simulations are based on the real data from the Warsaw Stock Exchange. The results show that buying the information according to the presented model may lead to an essential reduction of investment risk depending on the required level of return. If the return level is not too high, reduction of risk really takes place.
Źródło:
Control and Cybernetics; 2000, 29, 2; 617-622
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Random approximations in multiobjective programming - with an application to portfolio optimization with shortfall constraints
Autorzy:
Vogel, S.
Powiązania:
https://bibliotekanauki.pl/articles/205947.pdf
Data publikacji:
1999
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
aproksymacja stochastyczna
optymalizacja
prawdopodobieństwo
programowanie matematyczne
stabilność
estimated quantities
Markowitz model
multiobjective progranming
portfolio
probabilistic constraints
stability
Opis:
Decision makers often heave to deal with a programming problem vhere some of the quantities are unknown. They will usually estimate these quantities and solve the problem as it then appears - the "approximate problem". Thus, there is a need to establish conditions which will ensure that the solutions to the approximate problem will come close to the solutions to the true problem in a suitable manner. The paper summarizes such results for multiobjective programming problems. The results ase illustrated by means of the Markowitz model of portfolio optimization. In order to show how probabilistic constraints may be dealt with using this framework, a shortfall constraint is taken into account.
Źródło:
Control and Cybernetics; 1999, 28, 4; 703-724
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A generalization of the Zionts-Wallenius multiple criteria decision making algorithm
Autorzy:
Kaliszewski, I.
Zionts, S.
Powiązania:
https://bibliotekanauki.pl/articles/970490.pdf
Data publikacji:
2004
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
wielokryterialne podejmowanie decyzji
zagadnienie wypukłe
zamiana
selekcja portfela
multiple criteria decision making
convex problems
trade-off
portfolio selection
Opis:
In multicriteria problem solving, much can be learned by observing the decision-making process. Some, if not many, of the theoretical constructs used in some academically-generated models are simply not necessary. Taking this into account, we generalize the Zionts-Wallenius Multiple Criteria Decision Making Algorithm. We generalize the approach so that it can solve general convex problems. We do this by drawing from other methods, and by incorporating what we have learned in our work. To deal with the class of convex problems we face, we broaden the concept of tradeoff, and use global tradeoffs. Theory is developed, and then a method incorporating the theory is presented. A small example is included. We discuss how our development enriches decision-making tools currently available. We discuss applications in finance and technology.
Źródło:
Control and Cybernetics; 2004, 33, 3; 477-500
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies