Long-term forecasting of wind speed in the UAE using nonlinear canonical correlation analysis (NLCCA)

2020 ◽  
Vol 13 (18) ◽  
Author(s):  
Haile Woldesellasse ◽  
Prashanth R. Marpu ◽  
Taha B.M.J. Ouarda
2018 ◽  
Vol 15 (3-1) ◽  
pp. 230-238
Author(s):  
Houda Ben Said ◽  
Zouari-Hadiji Rim

The aim of this paper is to analyze asset-liability management behaviour in Tunisian banks between 2000 and 2014. The liberalization process in the Tunisian economy coupled with global developments exposed banks for various kinds of risks (interest rate risk, liquidity risk, exchange risk, operational risk etc...) which have a direct impact on their profitability and efficiency. Then asset liability management is one of a most important tool for decision making that sets out to maximize stakeholder value and an instrument to measure the sustainability of the financial sector in a country. A sample consisting of public, private, and foreign banks operating in the Tunisian territory was considered and the multivariate statistical technique, canonical correlation analysis has been used to capture the nature and strength of the relationship between the assets and liabilities in these banks. Assets analyzed were subdivided into fixed assets, liquid assets, short-term loans, long-term loans, short-term securities and long-term securities; and liabilities into net worth, borrowings, short-term deposits and long-term deposits. From the analysis, different degrees of the association have been found among various constituents of assets and liabilities and among banks. In most cases, there has been a poor and judicious matching of assets and liabilities in terms of their explicit cost and revenue as well as their maturity and liquidity. It is further observed that most Tunisian banks were asset-managed: these banks were actively managing assets and liabilities and were dependent on how well the assets are managed.


1985 ◽  
Vol 24 (02) ◽  
pp. 91-100 ◽  
Author(s):  
W. van Pelt ◽  
Ph. H. Quanjer ◽  
M. E. Wise ◽  
E. van der Burg ◽  
R. van der Lende

SummaryAs part of a population study on chronic lung disease in the Netherlands, an investigation is made of the relationship of both age and sex with indices describing the maximum expiratory flow-volume (MEFV) curve. To determine the relationship, non-linear canonical correlation was used as realized in the computer program CANALS, a combination of ordinary canonical correlation analysis (CCA) and non-linear transformations of the variables. This method enhances the generality of the relationship to be found and has the advantage of showing the relative importance of categories or ranges within a variable with respect to that relationship. The above is exemplified by describing the relationship of age and sex with variables concerning respiratory symptoms and smoking habits. The analysis of age and sex with MEFV curve indices shows that non-linear canonical correlation analysis is an efficient tool in analysing size and shape of the MEFV curve and can be used to derive parameters concerning the whole curve.


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