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    <link>https://www.um.edu.mt/library/oar/handle/123456789/28489</link>
    <description />
    <pubDate>Wed, 15 Apr 2026 09:58:30 GMT</pubDate>
    <dc:date>2026-04-15T09:58:30Z</dc:date>
    <item>
      <title>Structuring portfolio selection criteria for interactive decision support</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/30338</link>
      <description>Title: Structuring portfolio selection criteria for interactive decision support
Authors: Hurson, Christian; Ricci-Xella, Nadine
Abstract: A trichotomic evaluation system for portfolio selection support is proposed&#xD;
through this paper. The methodology works in two phases: First, Arbitrage&#xD;
Pricing Theory (APT) is used to estimate portfolios’ expected return and to&#xD;
identify influence factors and risk origins. ELECTRE TRI method aggregates&#xD;
all the common risk criteria into a unique one, which is more understandable&#xD;
by real investors or portfolio managers. By this way each alternative portfolio&#xD;
is evaluated on three criteria only including return, residual risk and common&#xD;
risk. In the second phase, the MINORA multicriteria interactive system based&#xD;
on preference disaggregation is proposed to select attractive portfolios. The&#xD;
whole methodological framework is illustrated by an application to the French&#xD;
stock market.</description>
      <pubDate>Tue, 01 Jan 2002 00:00:00 GMT</pubDate>
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      <dc:date>2002-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Qualitative modelling of credit scoring : a case study in banking</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/30337</link>
      <description>Title: Qualitative modelling of credit scoring : a case study in banking
Authors: Bana e Costa, Carlos A. E.; Soares, Joao Oliveira; Barroso, Luis Antunes
Abstract: Several modelling procedures have been suggested in the literature that&#xD;
aim to help credit granting decisions. Most of these utilize statistical, operational&#xD;
research and artificial intelligence techniques to identify patterns&#xD;
among past applications, in order to enable a more well-informed assessment of risk as well as the automation of credit scoring. For some types of&#xD;
loans, we find that the modelling procedure must permit the consideration of&#xD;
qualitative expert judgements concerning the performance attractiveness of&#xD;
the applications. In this paper, we describe in detail the various steps taken to&#xD;
build such a model in the context of the banking sector, using the MACBETH interactive&#xD;
approach. The model addresses the scoring of medium and long&#xD;
term loans to firms, to enable the multicriteria assignment of each application&#xD;
to a category which may range from rejection to acceptance with different&#xD;
spreads.</description>
      <pubDate>Tue, 01 Jan 2002 00:00:00 GMT</pubDate>
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      <dc:date>2002-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Evaluation of Greek construction companies’ securities using UTADIS method</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/30336</link>
      <description>Title: Evaluation of Greek construction companies’ securities using UTADIS method
Authors: Dimitras, Augustinos I.
Abstract: The evaluation of stocks and the selection of the ‘best’ ones is an important&#xD;
step in the process of constructing an optimal portfolio. This study proposes&#xD;
the multicriteria method UTADIS (UTilités Additives DIScriminantes) for&#xD;
the sorting of stocks in categories incorporating, not only quantitative meas -&#xD;
ures, but also the knowledge as well as the preferences of experts. The study&#xD;
illustrates the application of the method on the construction industry stocks in&#xD;
Athens Stock Exchange, using the financial characteristics of the companies.&#xD;
The model developed is evaluated according to its usefulness in a decision&#xD;
process. Further research and the application of the method in other indus -&#xD;
tries’ stocks can establish the method as an important tool in stock evaluation&#xD;
and the relative decision making process.</description>
      <pubDate>Tue, 01 Jan 2002 00:00:00 GMT</pubDate>
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      <dc:date>2002-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>An integrated investment decision analysis procedure combining simulation and utility theory</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/30335</link>
      <description>Title: An integrated investment decision analysis procedure combining simulation and utility theory
Authors: Luban, Florica
Abstract: In this paper we examine several methods that management could use to&#xD;
cope with the problem of risk in capital investment decision – making. We use&#xD;
the net present value model as a measure of profitability of an investment&#xD;
project. This measure is discussed in relation to their applicability and interpretation&#xD;
in risk analysis models. It is shown that it may be worth developing&#xD;
an integrated decision analysis procedure. The proposed procedure includes&#xD;
the Monte Carlo simulation to obtain a probability distribution of net present&#xD;
values, the calculation of the expected net present value, risk profiles analysis&#xD;
by stochastic dominance criterion, and as a final step the sensitivity analysis&#xD;
using utility functions with different levels of risk aversion. Numerical results&#xD;
obtained with this procedure are given. Finally, we discuss about relatively&#xD;
new approach of "real options" which can be used to expand our analysis&#xD;
methods.</description>
      <pubDate>Tue, 01 Jan 2002 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.um.edu.mt/library/oar/handle/123456789/30335</guid>
      <dc:date>2002-01-01T00:00:00Z</dc:date>
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