Informacja

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

Wyszukujesz frazę "Multi-dimensional risk analysis" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Wielowymiarowa warunkowa wartość zagrożona jako miara ryzyka
The Multivariate Conditional Value-At-Risk As a Measure of Risk
Autorzy:
Krzemienowski, Adam
Powiązania:
https://bibliotekanauki.pl/articles/591326.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Analiza wartości zagrożonej
Pomiar ryzyka
Wielowymiarowa analiza ryzyka
Zmienne losowe
Multi-dimensional risk analysis
Random variable
Risk measures
Value at Risk Analysis
Opis:
The Multivariate Conditional Value-at-Risk (MCVaR) is a scalar risk measure for multivariate risks modeled by multivariate random variables. It is assumed that the univariate risk components are perfect substitutes, i.e., they are expressed in the same units. MCVaR is a quantile risk measure that allows one to emphasize the consequences of more pessimistic scenarios. By changing the level of the quantile, the measure permits to parameterize prudent attitudes toward risk ranging from extreme risk aversion to risk neutrality. In terms of definition, MCVaR is slightly different from the popular and well-researched Conditional Value-at-Risk (CVaR). Nevertheless, this small difference allows one to efficiently solve MCVaR portfolio optimization problems based on the full information carried by a multivariate random variable using column generation technique, which is not possible in the case of CVaR.
Źródło:
Studia Ekonomiczne; 2013, 154; 53-60
2083-8611
Pojawia się w:
Studia Ekonomiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie wybranych elementów analizy fundamentalnej do wyznaczania portfeli optymalnych
Applications of Selected Fundamental Analysis Methods in Building an Optimal Portfolio
Autorzy:
Mastalerz-Kodzis, Adrianna
Pośpiech, Ewa
Powiązania:
https://bibliotekanauki.pl/articles/590001.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Analiza fundamentalna
Mierniki taksonomiczne
Portfel inwestycyjny
Rynek kapitałowy
Wielowymiarowa analiza porównawcza
Zarządzanie ryzykiem
Capital market
Fundamental analysis
Investment portfolio
Multi-dimensional comparative analysis
Risk management
Taxonomic indicators
Opis:
There are many methods that are used by investors in decision making process. The main approach in portfolio analysis is the classical one based on basic characteristics such as return rate and return rate variance. However, market analyses show that basing only on those measures when building an optimal portfolio is not the most effective way. The alternative approach is, for example, fundamental one which uses not only classical measures but also diagnostic features that characterize financial and economic condition of companies. The work presents practical applications of selected fundamental methods that are used for risk management on capital market (especially for designing an optimal portfolio). Moreover, elements of multivariate comparative analysis have been taken into considerations. The analysis provides methods that make it possible to examine phenomenon which is described by different variables, it allows to compare objects that are specified by many features. On the basis of data describing variables many synthetic measures can be built. These measures may be used to examine the attractiveness of investments and economic situation of companies. In analyses, three synthetic measures were provided for - module taxonomic measure of investment attractiveness (TMAI) and two non-module measures. Solving respective optimization problems (allowing for synthetic measures) fundamental optimal portfolios were built. To compare the results it was also built a classical portfolio based on Markowitz approach. The profit rate of each designed fundamental portfolio was about 50% and was higher than the profit rate of classical one. It confirms that using in analyses financial and economic indices may bring in interesting results.
Źródło:
Studia Ekonomiczne; 2013, 146; 68-78
2083-8611
Pojawia się w:
Studia Ekonomiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

    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