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  • 标题:Legal Origins and the Financial Conservatism of Private Firms
  • 本地全文:下载
  • 作者:Hongzhong Fan ; Mirza Nouman Ali Talib ; Pan Chen
  • 期刊名称:International Journal of Economics and Finance
  • 印刷版ISSN:1916-971X
  • 电子版ISSN:1916-9728
  • 出版年度:2019
  • 卷号:11
  • 期号:5
  • 页码:103-113
  • DOI:10.5539/ijef.v11n5p103
  • 出版社:Canadian Center of Science and Education
  • 摘要:The estimation of the error rates is of vital importance in classification problems as this is used as a basis to choose the best discriminant function; that is, the one with a minimum misclassification error. The quadratic discriminant function (QDF), Euclidean Distance Classifier (EDC), and Fisher’s Linear Discriminant Function (FLDC) have been in use for a long time for the purpose of classification. In this paper, we compare the misclassification error rate of the QDF, EDC, and FLDC with the Vine Copulas based on Gaussian and Clayton models. The results were obtained for the general case where the means are unequal and the covariance matrices are unequal.
  • 关键词:legal origins; financial conservatism; financial crises; dividends; tax shields
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