Seminareinladung

[Peter Brandner]

Einladung zu zwei Seminarvortr=E4gen  von

Prof. Adi Raveh

School of Business Administration and Statistics Department
The Hebrew University of Jerusalem, Israel



THE GREEK BANKING SYSTEM: REANALYSIS OF PERFORMANCE

Abstract:
 Multiattribute Evaluation of Greek Banking Performance has been done
 recently by Zopounidis et.al. (1995). They used an ordinal regression
 analysis as well as an additive utility model to obtain final ranking
 of a representative sample of greek banks. In this paper we reanalyze
 their data by means of two multivariate analysis methods. One method
 is a nonmetric multidimensional saling type called Smalliest Space
 Analysis (SSA-I), which is designated to analyze variables (e.g., 7
 attributes). The second method is called Co-plot. It is also a
 graphic display that is designated to analyze observations (e.g., 16
 banks) and attributes simultaneously. Some further comments and
 findings are uncovered from our analysis.

key words: Banking Performance, Co-plot, Graphic Display, Smallest
Space Analysis

Zeit: Montag, 6.5.1996, 13.00 Uhr
Ort:
Kleiner Sitzungssaal, =D6sterreichisches Institut f=FCr Wirtschaftsforschu=
ng (WIFO)
Arsenal, Objekt 20
1030 Wien


                                                              und


CO-PLOT DISPLAY TECHNIQUE AS AN AID TO THE PREDICTION OF CORPORATE
BANKRUPTCY

Abstarct:
 CO-PLOT, a new graphic display method for multivariate data analysis,
 is introduced and used to aid the prediction of corporate bankruptcy.
 Co-plot maps the rows of a matrix   in such a way that similar rows
 (observations) will be closely located on the map. The sample units
 are exhibited as n points and the variables as p arrows, relative to
 the same axis and origin. Co-plot enables the simultaneous study of
 observations and variables for a set of data, hence its name. This
 method is applied here to study similarity among companies, the
 correlation structure among financial ratios (variables), and the
 mutual relationships between the companies' observations and
 financial ratios. Co-plot yielded clearer findings for the data set
 analyzed previously by Altman for the same purpose of prediction.

key words: Dissimilarity, Maximum Correlation, Multidimensional
Scaling (MDS).


Zeit:
Dienstag, 7.5.1996, 16.00 Uhr
Ort:
HS 12, BWZ, Br=FCnner Stra=DFe 72, 1210 Wien



Peter Brandner
Department of Economics        email: peter.brandner@univie.ac.at
University of Vienna           voice: +43-1-40103-3371
Hohenstaufengasse 9            fax:   +43-1-5321498
A-1010 Vienna, Austria
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