Browsing by Author "Ferreira, Fernando A. F."
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- Comparing trade-off adjustments in credit risk analysis of mortgage loans using AHP, Delphi and MACBETHPublication . Ferreira, Fernando A. F.; Santos, Sérgio Pereira dosDue to the severe restrictions on access to credit resulting from the current economic climate, credit risk analysis of mortgage loans has been considered paramount for banking institutions and is currently accompanied by higher credit underwriting standards. In this paper, we present an empirical comparison of three decision support tools (i.e. Analytic Hierarchy Process (AHP), Delphi, and Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH)) in the specific context of trade-off readjustments in credit risk analysis of mortgage loans. We conducted a panel study with credit analysts and focused on five lines of comparison: ease of use; time-consumption; ease of applicability; accuracy; and overall evaluation. Results indicate that Delphi surpasses AHP and MACBETH in terms of ease of use, time-consumption and ease of applicability. As for accuracy, the differences obtained between AHP and MACBETH are not significant, and both methods perform better than Delphi. Most of the decision makers considered AHP the "overall best" approach.
- Two decades on the MACBETH approach: a bibliometric analysisPublication . Ferreira, Fernando A. F.; Santos, SérgioMACBETH stands for measuring attractiveness by a categorical based evaluation technique. It is a multiple criteria decision analysis technique created by Carlos Bana e Costa and Jean-Claude Vansnick in the early 1990s. Due to both the increasing application of the technique and progress achieved to date, this study aims to conduct a bibliometric literature review on MACBETH. The database for the review contains 192 scientific articles published in scholarly publications indexed in the Scopus database from 1994 to 2016. Although other literature reviews of the technique exist, this study has a different emphasis and uses two distinct citation analysis methods-bibliographic coupling and co-citation-, allowing us to generate new insights regarding some of the most active and influential articles, journals and authors, as well as to reveal rankings, clusters of contributions and collaboration networks. The results obtained are important to enhance our understanding of the technique's anatomy (i.e., its intellectual structure), and can support the identification of new lines of application and development.