An Industry Analysis Of Firms Forming Part Of Our Subsamples

Table 1A provides an industry analysis of firms forming part of our subsamples. While the analysis reveals that a quarter of our sample is made of mining companies, this doesn’t mislead the interpretation of our results because the actual weights of all industries in our sample are consistent with what we observe in the index ASX 200. In general we observe that the key variables of the assembled data are skewed. According to Merhebi et al. (2006) the skewness of data variables is also found in distribution of data from USA, UK and Canada. Therefore logarithmic models are more appropriate to alleviate skewness in companies data variables or the effect of extreme values and to avoid any heteroscedasticity problem that might end contaminating our regressed models. To detect any multicollinearity problem in our independent variables, we need to establish correlation matrix table, thus avoiding the use of highly correlated independent variables in the same model. We have used a co rrelation matrix to verify the existence or non-existence of linear relationship among independent variables or between explanatory variables and independent variables. CEO remuneration and firm size do exhibit a somewhat moderate link. However there is little evidence of multicollinearity among the explanatory variables since the correlation among them is not strong hence all the variables can be incorporated into the subsequent regression analysis as stated in different hypothesis. To investigate theShow MoreRelatedEconometrics of Event Studies14937 Words   |  60 Pagesmethods have improved, serious limitations remain. A challenge is to continue to refine long-horizon methods. We present new evidence illustrating that properties of event study methods can vary by calendar time period and can depend on event sample firm characteristics such as volatility. This reinforces the importance of using stratified samples to examine event study statistical properties. 3 Table of Contents 1. Introduction and Background 2. The Event Study Literature 2.1 The stock andRead MoreFinancial Statements Fraud56771 Words   |  228 PagesDetecting financial statement fraud: Three essays on fraud predictors, multi-classifier combination and fraud detection using data mining Johan L. Perols University of South Florida Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the American Studies Commons Scholar Commons Citation Perols, Johan L., Detecting financial statement fraud: Three essays on fraud predictors, multi-classifier combination and fraud detection using data mining (2008). Graduate School Theses andRead MoreStrategic Human Resource Management View.Pdf Uploaded Successfully133347 Words   |  534 Pagesstorage or retrieval system, must be arranged with the individual copyright holders noted. This special edition published in cooperation with Pearson Custom Publishing. Printed in the United States of America 10 9 8 7 6 5 4 3 2 1 Please visit our web site at www.pearsoncustom.com ISBN 0–536–72690–6 BA 996748 PEARSON CUSTOM PUBLISHING 75 Arlington Street, Suite 300 Boston, MA 02116 A Pearson Education Company iii iv Table of Contents SECTION ONE .................................Read MoreInnovators Dna84615 Words   |  339 Pageshabits—habits that can boost anyone’s creative capacity.† author, e 7 Habits of Highly E ective People and e Leader in Me â€Å"Having worked with Clayton Christensen on innovation for over a decade, I can see that e Innovator’s DNA continues to stretch our thinking with insights that challenge convention and enable progress in the important cause of innovation . . . so critical to competitiveness and growth.† retired Chairman of the Board and CEO, e Procter Gamble Company Also by Clayton M. Christensen: Read MoreHemp Cultivation in China42289 Words   |  170 Pages96 Austria report 98 German textiles 101 Book reviews 103 NAIHF 104 Debate Corner 106 Journal of the International Hemp Association, Volume 2, Number 2, 1995 58 DEAR MEMBERSHIP First, we owe our readers and authors an apology for all of the typographic errors and other mistakes apparent in our last issue. Because of editorial staff changes and scheduling pressures, proof-reading of that issue after its preliminary page set-up was sorely inadequate. We hope you will agree that this issue hasRead More_x000C_Introduction to Statistics and Data Analysis355457 Words   |  1422 Pagesto Statistics and Data Analysis This page intentionally left blank Introduction to Statistics and Data Analysis Third Edition Roxy Peck California Polytechnic State University, San Luis Obispo Chris Olsen George Washington High School, Cedar Rapids, IA Jay Devore California Polytechnic State University, San Luis Obispo Australia †¢ Brazil †¢ Canada †¢ Mexico †¢ Singapore †¢ Spain †¢ United Kingdom †¢ United States Introduction to Statistics and Data Analysis, Third Edition Roxy Peck