diplomsko delo
Iva Klančnik (Author), Vesna Čančer (Mentor)

Abstract

V diplomski nalogi smo podrobneje obravnavali vzajemne sklade, ki so vse bolj priljubljena naložbena možnost za vse vrste vlagateljev. Problem izbire vzajemnega sklada smo reševali po korakih z računalniškima programoma Web-HIPRE in Expert Choice. Osredotočili smo se predvsem na metode za določanje uteži kriterijev, ki temeljijo na različnih skalah, in na individualno odločanje. V prvem primeru smo oblikovali dva modela, na podlagi preferenc odločevalca 1, ki se razlikujeta v izbiri metode za določanje uteži kriterijev in primerjali dobljene rezultate. V drugem primeru pa smo analizirali vpliv ocen dveh odločevalcev,z različnimi preferencami, na končno izbiro vzajemnega sklada.

Keywords

večkriterialno odločanje;matematične metode;alternative;kriteriji;metode;računalniški programi;vzajemni skladi;reševanje problemov;

Data

Language: Slovenian
Year of publishing:
Source: Maribor
Typology: 2.11 - Undergraduate Thesis
Organization: UM EPF - Faculty of Economics and Business
Publisher: [I. Klančnik]
UDC: 519.85:336.76
COBISS: 10638108 Link will open in a new window
Views: 2325
Downloads: 296
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Other data

Secondary language: English
Secondary title: Weighting methods in the mutual fund selection
Secondary abstract: Our assignment is focused on mutual funds. Mutual funds are more and more popular investment options for all types of investors.The problem of choosing the best mutual fund was solved by two computer programmes Web-HIPRE and Expert Choice. We were focusing on weighting methods, which are based on ordinal, interval and ratio scale and on individual decision making.In the first case, we created two models based on decision-maker 1 preferences. Models differ in the choice of weighting methods.In the second case, we analyzed the impact evaluation of two decision makers with different preferences on the final selection of the mutual fund.
Secondary keywords: multi-criteria decision making;alternatives;attribute;criteria;weighting methods;Web-HIPRE;SMART;SVING;SMARTER;direct method;Expert Choice;AHP;mutual fund;
URN: URN:SI:UM:
Type (COBISS): Undergraduate thesis
Thesis comment: Univ. v Mariboru, Ekonomsko-poslovna fak.
Pages: 68 str., 9 str. pril.
Keywords (UDC): mathematics;natural sciences;naravoslovne vede;matematika;mathematics;matematika;operational research (or): mathematical theories and methods;operacijsko raziskovanje;mathematical programming;social sciences;družbene vede;economics;economic science;ekonomija;ekonomske vede;finance;finance;money;monetary system;banking;stock exchanges;denar;monetarni sistem;bančništvo;borzništvo;
ID: 1013660