New Approach of Directional Dependence in Exchange Markets Using Generalized FGM Copula Function

References

• Bairamov , I. , Kotz , S. ( 2002 ). Dependence structure and symmetry of Huang-Kotz FGM distributions and their extensions . Metrika 56 : 55 – 72 .
   Web of Science ®Google Scholar
• Bairamov , I. , Kotz , S. , Bekci , M. ( 2001 ). New generalized Farile-Gumbel-Morgenstern distributions and concomitants of order statistics . Journal of Applied Statistics 28 ( 5 ): 521 – 536 .
   Web of Science ®Google Scholar
• Bairamov , I. , Kotz , S. , Kozubowski , T. J. ( 2003 ). A new measure of linear local dependence . Statistics 37 ( 3 ): 243 – 258 .
   Web of Science ®Google Scholar
• Breymann , W. , Dias , A. , Embrechts , P. ( 2003 ). Dependence structures for multivariate high-frequency data in finance . Quantitative Finance 3 ( 1 ): 1 – 16 .
   Web of Science ®Google Scholar
• Dodge , Y. , Rousson V. ( 2000 ). Direction dependence in regression line . Communications in Statistics—Theory and Methods 29 ( 9–10 ): 1957 – 1972 .
   Web of Science ®Google Scholar
• Falk , R. , Well A. D. ( 1997 ). Many faces of the correlation coefficient . Journal of Statistical Education 5 ( 3 ).
   Google Scholar
• Longin , F. , Solnik , B. ( 2001 ). Extreme correlation of international equity markets . Journal of Finance 56 : 649 – 676 .
   Web of Science ®Google Scholar
• Muddapur , M. V. ( 2003 ). On directional dependence in a regression line . Communications in Statistics—Theory and Methods 32 ( 10 ): 2053 – 2057 .
   Web of Science ®Google Scholar
• Nelson , R. ( 1999 ). An Introduction to Copulas . New York : Springer .
   Google Scholar
• Patton , A. J. ( 2002 ). Applications of Copula Theory in Financial Econometrics. Ph.D. Thesis, University of California at San Diego .
   Google Scholar
• Poon , S. , Rockinger , M. , Tawn , J. ( 2003 ). Modeling extreme-value dependence in international stock markets . Statistica Sinica 13 : 929 – 953 .
   Web of Science ®Google Scholar
• Poon , S. , Rockinger , M. , Tawn , J. ( 2004 ). Extreme value dependence in financial markets: diagnostics, models, and financial implications . The Review of Financial Studies 17 ( 2 ): 581 – 610 .
   Web of Science ®Google Scholar
• Rodgers , J. L. , Nicewander , W. A. (1988). Thirteen ways to look at the correlation coefficient. The American Statistician 42:59–66.
   Web of Science ®Google Scholar
• Rodríguez-Lallena , J. A. , Úbeda-Flores , M. ( 2004 ). A new class of bivariate copulas . Statistical Probability Letters 66 : 315 – 325 .
   Web of Science ®Google Scholar
• Rovine , M. J. , Von Eye , A. C. ( 1997 ). A 14th way to look at a correlation coefficient: correlation as the proportiion of matches . The American Statistician 51 : 42 – 46 .
   Web of Science ®Google Scholar
• Sklar , A. ( 1973 ). Random variables, joint distributions, and copulas . Kybernetica 9 : 449 – 460 .
   Google Scholar
• Sungur , E. A. ( 2005 ). Some observations on copula regression functions . Communications in Statistics—Theory and Methods 34 : 1967 – 1978 .
   Web of Science ®Google Scholar