Prediction of Greek company takeovers via multivariate analysis of financial ratios

1997 ◽  
Vol 48 (7) ◽  
pp. 678-687 ◽  
Author(s):  
S H Zanakis ◽  
C Zopounidis
Keyword(s):  
Multivariate Analysis ◽  
Financial Ratios

scholarly journals A Comparison of the Financial Characteristics of U.S. and European Manufacturing Firms

2016 ◽  
Vol 11 (2) ◽  
pp. 58-67
Author(s):  
Gulser Meric ◽  
T. Jerome Bentley ◽  
W. Charles McCall ◽  
Ilhan Meric
Keyword(s):  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Growth Rates ◽  
Manufacturing Firms ◽  
Research Topic ◽  
Financial Ratios ◽  
Multivariate Analysis Of Variance ◽  
Accounts Receivable ◽  
Fixed Assets ◽  
Financial Characteristics

Abstract Comparing the financial characteristics of firms in different countries and regions has been a popular research topic in finance. In this paper, we compare the financial characteristics of U.S. and European manufacturing firms with the MANOVA (Multivariate Analysis of Variance) method and financial ratios. Our findings indicate that the overall financial characteristics of U.S. and European manufacturing firms are significantly different. We find that U.S. manufacturing firms are more profitable and they have less liquidity and bankruptcy risks compared with European manufacturing firms. European manufacturing firms are more efficient in managing their fixed assets. However, U.S. manufacturing firms are more efficient in managing their accounts receivable and total assets. U.S. manufacturing firms are able to achieve significantly higher sales and total assets growth rates compared with European manufacturing firms.

scholarly journals Evaluating the Stability of the Financial Ratios of Jordanian Industrial Companies

2015 ◽  
Vol 1 (1) ◽  
pp. 315
Author(s):  
Ghaleb Abu Rumman ◽  
Imad Kutum
Keyword(s):  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Cash Flow ◽  
Significant Interaction ◽  
Financial Information ◽  
Financial Ratios ◽  
Multivariate Analysis Of Variance ◽  
Industrial Companies ◽  
The Stability ◽  
Over Time

The purpose of the study was to identify if the financial ratios of Jordanian industrial companies remained stable across sector and over time. The study used six financial ratios from fifty-six companies across six sectors with financial information from 2010 to 2014. A two way multivariate analysis of variance was performed to identify the stability of the ratios across the sectors and over the time. The results of the study showed that the financial ratios which showed some difference across sector were EBITTA (Earnings before Interest and Tax), CAT (Current Assets Turnover) and CFTA (Cash Flow to Total Assets). There were no differences observed between the financial ratios over time. The interaction of Time and Sector revealed no significant interaction effects. This suggests that as a whole, the financial ratios remained stable over time and sectors over the sectors and period chosen for the study.

scholarly journals COMPARISON OF ISLAMIC BANKS PERFORMANCE AND CONVENTIONAL BANKS PERFORMANCE IN MUSLIM-MAJORITY PROVINCES AND NON-MUSLIM MAJORITY PROVINCES

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Eko Fajar Cahyono ◽  
M. Fariz Fadillah Mardianto ◽  
Tika Widiastuti
Keyword(s):  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Financial Ratios ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Multivariate Analysis Of Variance ◽  
Muslim Population ◽  
Muslim Majority ◽  
Conventional Banks ◽  
Conventional Bank

This study aims to look a universality services Islāmic banking and conventional bank services and products in Indonesia by testing whether the services and products of conventional Islāmic banks and conventional banks accepted by all groups, both Muslims and non-Muslims. The method used was the Multivariate Analysis of Variance (MANOVA) test by comparing Islāmic banks performance and conventional banks performance represented by several financial ratios in a number of provinces in Indonesia. There are two provincial categories, namely the first group is a provincial province with a most Muslim population and the second is a class of provincial provinces with a most non-Muslim population in Indonesia.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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