Showing posts with label Statistics. Show all posts
Showing posts with label Statistics. Show all posts

Tuesday, May 24, 2016

Analyzing Event Statistics in Corporate Finance: Methodologies, Evidences, and Critiques (Repost)




Analyzing Event Statistics in Corporate Finance: Methodologies, Evidences, and Critiques By Jau-Lian Jeng
2015 | 200 Pages | ISBN: 1137397179 | PDF | 1 MB



Analyzing Event Statistics in Corporate Finance provides new alternative methodologies to increase accuracy when performing statistical tests for event studies within corporate finance. In contrast to conventional surveys or literature reviews, Jeng focuses on various methodological defects or deficiencies that lead to inaccurate empirical results, which ultimately produce bad corporate policies. This work discusses the issues of data collection and structure, the recursive smoothing for systematic components in excess returns, the choices of event windows, different time horizons for the events, and the consequences of applications of different methodologies. In providing improvement for event studies in corporate finance, and based on the fact that changes in parameters for financial time series are common knowledge, a new alternative methodology is developed to extend the conventionalanalysis to more robust arguments.



Monday, May 16, 2016

Michael J. Panik - Advanced Statistics from an Elementary Point of View [Repost]




Michael J. Panik – Advanced Statistics from an Elementary Point of View
2005 | ISBN: 0120884941 | English | 824 pages | PDF | 4.2 MB


The highly readable text captures the flavor of a course in mathematical statistics without imposing too much rigor; students can concentrate on the statistical strategies without getting lost in the theory.


Students who use this book will be well on their way to thinking like a statistician. Practicing statisticians will find this book useful in that it is replete with statistical test procedures (both parametric and non-parametric) as well as numerous detailed examples.


· Comprehensive coverage of descriptive statistics


· More detailed treatment of univariate and


bivariate probability distributions


· Thorough coverage of probability theory with


numerous event classifications