Auditing Journal Entries Using Extreme Value Theory

While a wealth of statutory and auditing pronouncements attest to the importance of the auditing of journal entries for preventing and detecting material misstatements to financial statements, exis ...

[1]  I. Hilmi Elifoglu,et al.  AU ‐C 240 Consideration of Fraud in a Financial Statement Audit , 2003, Wiley Practitioner's Guide to GAAS 2021.

[2]  Contagion Risk in the International Banking System and Implications for London as a Global Financial Center , 2007 .

[3]  J. Corcoran Modelling Extremal Events for Insurance and Finance , 2002 .

[4]  PAUL EMBRECHTS,et al.  Modelling of extremal events in insurance and finance , 1994, Math. Methods Oper. Res..

[5]  Jorge A. Chan-Lau,et al.  Contagion Risk in the International Banking System and Implications for London as a Global Financial Center , 2007 .

[6]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[7]  Younes Bensalah Asset Allocation Using Extreme Value Theory , 2002 .

[8]  Richard A. Riley,et al.  Financial Statement Fraud: Insights from the Academic Literature , 2008 .

[9]  Ken T. Trotman,et al.  Fifty-Year Overview of Judgment and Decision-Making Research in Accounting , 2011 .

[10]  Roger S. Debreceny,et al.  Data mining journal entries for fraud detection: An exploratory study , 2010, Int. J. Account. Inf. Syst..

[11]  S. Coles,et al.  An Introduction to Statistical Modeling of Extreme Values , 2001 .

[12]  R. Reiss,et al.  Statistical Analysis of Extreme Values-with applications to insurance , 1997 .

[13]  David J. Hand,et al.  Statistical fraud detection: A review , 2002 .

[14]  VARUN CHANDOLA,et al.  Anomaly detection: A survey , 2009, CSUR.

[15]  David A. Clifton,et al.  Novelty Detection with Multivariate Extreme Value Statistics , 2011, J. Signal Process. Syst..

[16]  Eckhardt Kriel Ca Discussion of 'Data mining journal entries for fraud detection: An exploratory study' , 2010 .

[17]  Hyoungjoo Lee,et al.  On-line novelty detection using the Kalman filter and extreme value theory , 2008, 2008 19th International Conference on Pattern Recognition.

[18]  F. Longin,et al.  From value at risk to stress testing : The extreme value approach Franc ß ois , 2000 .

[19]  A. McNeil,et al.  Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach , 2000 .

[20]  J. Pickands Statistical Inference Using Extreme Order Statistics , 1975 .