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Research Article Open Access

A New Modified Farlie-Gumbel-Morgenstern Copula

1Department of Banking and Finance, Graduate School of Social Sciences, Yıldırım Beyazıt University 
2Department of Statistics, Graduate School of Natural and Applied Sciences, Gazi University  
✉ Corresponding author: Ferhan Baş Kaman · basferhan@gmail.com
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Abstract

Copulas are the special functions obtained with a combination of functions. Therefore, appropriate conversions can be made to create new copulas or to improve the existing copulas. Many researchers have recently aimed to obtain variables with higher correlation by improving the existing copulas or constructing new copulas. In this study, a new copula which has negative quadrant dependency has been introduced. A new form of FarlieGumbel-Morgenstern (FGM) copula is obtained by applying FGM copula. Kendall’s T and Spearman’s p values for the new form of FGM copula has been obtained to have larger bounds on the negative side. The data set is simulated from FGM copula and the new form of FGM copula. Then, dependency structure is analyzed with scatter plot of data obtained from copulas.  

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Cite this article

Baş Kaman, F., & Olmuş, H. (2018). A New Modified Farlie-Gumbel-Morgenstern Copula. In Ist International Symposium on Innovative Approaches in Scientific Studies (pp. 137). SET Technology.

Article History

Published
23 Jun 2018

License

© 2018 SET Technology. This article is distributed under the terms of the CC BY 4.0.

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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