By Kyriaki Kosmidou, Michael Doumpos, Constantin Zopounidis (eds.)
Financial globalization has elevated the importance of equipment utilized in the overview of kingdom possibility, one of many significant learn themes in economics and finance. Written through specialists within the fields of multicriteria technique, credits danger review, operations study, and fiscal administration, this e-book develops a accomplished framework for comparing versions in accordance with numerous class recommendations that emerge from diverse theoretical instructions. This e-book compares varied statistical and information mining ideas, noting some great benefits of each one process, and introduces new multicriteria methodologies which are very important to kingdom possibility modeling.
Key themes include:
- A evaluate of nation hazard definitions and an outline of the newest instruments in state possibility management
In-depth research of statistical, econometric and non-parametric class techniquesSeveral real-world functions of the methodologies defined through the text
- Future study instructions for kingdom danger review problems
This paintings is an invaluable toolkit for economists, monetary managers, financial institution managers, operations researchers, administration scientists, and hazard analysts. in addition, the ebook is also used as a supplementary textual content for graduate classes in finance and monetary threat management.
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Extra resources for Country Risk Evaluation
The former leads to capital cost (loss of the amount of credit granted to a firm), whereas the latter leads to opportunity cost (loss of profit that would result from granting a credit to a healthy firm). 4) so that the costs of each individual error are also considered. 5) where: • Kkl is the misclassification cost involving the classification of an alternative of group Ck into group Cl (l = k). • Ekl j is a binary 0−1 variable defined such that Ekl j = 1 if an alternative x j ∈ Ck is classified into group Cl (l = k) and Ekl j = 0 if x j is not classified into group Cl .
After the solution of LP1, MIP, and LP2 at stage k of the hierarchical discrimination process, the “optimal” classification is achieved between the alternatives belonging in group Ck and the alternatives belonging in the groups Ck> . 3 Statistical and Econometric Techniques 43 “optimal” refers to the number of misclassifications and to the clarity of the obtained discrimination. , k = q − 1), then the model development procedure stops because all utility functions required to classify the alternatives have been estimated.
1 The UTADIS Method 27 U(g) Group C1 x1 x2 . xm1 Utility threshold u1 Group C2 x1 x2 . xm2 Classification error σ−(xj) Classification error σ+(xj) Fig. 4 The classification errors (two-group case) classification error may involve either the violation of the upper bound of the group (utility threshold uk−1 ) or the violation of the lower bound uk . Henceforth, the violation of the lower bound of a group will be denoted by σ + , whereas σ − will be used to denote the violation of the upper bound of a group.
Country Risk Evaluation by Kyriaki Kosmidou, Michael Doumpos, Constantin Zopounidis (eds.)