A quantitative approach to commercial damages : applying statistics to the measurement of lost profits / Mark Filler, James A. DiGabriele.

Format:

Book

Author/Creator:

Filler, Mark, 1942-

Contributor:

DiGabriele, James A., 1962-

Language:

English

Subjects (All):

Lost profits damages--Valuation--Statistical methods.

Lost profits damages.

Business losses--Accounting.

Business losses.

Physical Description:

1 online resource (347 p.)

Edition:

1st edition

Place of Publication:

Hoboken, N.J. : Wiley, c2012.

Language Note:

English

System Details:

text file

Summary:

How-to guidance for measuring lost profits due to business interruption damages A Quantitative Approach to Commercial Damages explains the complicated process of measuring business interruption damages, whether they are losses are from natural or man-made disasters, or whether the performance of one company adversely affects the performance of another. Using a methodology built around case studies integrated with solution tools, this book is presented step by step from the analysis damages perspective to aid in preparing a damage claim. Over 250 screen shots are included and ke

Contents:

A Quantitative Approach to Commercial Damages; Contents; Preface; Is This a Course in Statistics?; How This Book Is Set Up; The Job of the Testifying Expert; About the Companion Web Site-Spreadsheet Availability; Note; Acknowledgments; INTRODUCTION The Application of Statistics to the Measurement of Damages for Lost Profits; The Three Big Statistical Ideas; Variation; Correlation; Rejection Region or Area; Introduction to the Idea of Lost Profits

Stage 1. Calculating the Difference Between Those Revenues That Should Have Been Earned and What Was Actually Earned During the Period of InterruptionStage 2. Analyzing Costs and Expenses to Separate Continuing from Noncontinuing; Stage 3. Examining Continuing Expenses Patterns for Extra Expense; Stage 4. Computing the Actual Loss Sustained or Lost Profits; Choosing a Forecasting Model; Type of Interruption; Length of Period of Interruption; Availability of Historical Data; Regularity of Sales Trends and Patterns; Ease of Explanation; Conventional Forecasting Models; Simple Arithmetic Models

More Complex Arithmetic ModelsTrendline and Curve-Fitting Models; Seasonal Factor Models; Smoothing Methods; Multiple Regression Models; Other Applications of Statistical Models; Conclusion; Notes; CHAPTER 1 Case Study 1-Uses of the Standard Deviation; The Steps of Data Analysis; Shape; Spread; Conclusion; Notes; CHAPTER 2 Case Study 2-Trend and Seasonality Analysis; Claim Submitted; Claim Review; Occupancy Percentages; Trend, Seasonality, and Noise; Trendline Test; Cycle Testing; Conclusion; Note

CHAPTER 3 Case Study 3-An Introduction to Regression Analysis and Its Application to the Measurement of Economic DamagesWhat Is Regression Analysis and Where Have I Seen It Before?; A Brief Introduction to Simple Linear Regression; I Get Good Results with Average or Median Ratios-Why Should I Switch to Regression Analysis?; How Does One Perform a Regression Analysis Using Microsoft Excel?; Why Does Simple Linear Regression Rarely Give Us the Right Answer, and What Can We Do about It?

Should We Treat the Value Driver Annual Revenue in the Same Manner as We Have Seller's Discretionary Earnings?What Are the Meaning and Function of the Regression Tool's Summary Output?; Regression Statistics; Tests and Analysis of Residuals; Testing the Linearity Assumption; Testing the Normality Assumption; Testing the Constant Variance Assumption; Testing the Independence Assumption; Testing the No Errors-in-Variables Assumption; Testing the No Multicollinearity Assumption; Conclusion; Note; CHAPTER 4 Case Study 4-Choosing a Sales Forecasting Model: A Trial and Error Process

Correlation with Industry Sales

Notes:

Description based upon print version of record.

Description based on print version record and CIP data provided by publisher.

Includes bibliographical references and index.

ISBN:

9786613622457

9781118236376

1118236378

9781119202646

1119202647

9781280592621

1280592621

9781118222447

111822244X

OCLC:

774697304