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DLOM Using Path Dependent Options Corrected for Imputed Value Bias




 DLOM Using Path Dependent Options Corrected for Imputed Value Bias
CPE Credit

Program Type: Recorded Webinar(Audio, PPT Presentation)
Program Level: Advanced
Prerequisites: Good knowledge of subject matter and experience in the field.
Advanced Preparation: None
Delivery Method: Group Internet-Based
CPE Credits: Two (2) Hours
Fields of Study: Finance; Management Advisory Services
Item Number: 16PBVWDC0921D
Shipping Weight: 0lbs. 0oz.
Price: $110.00
Program Description

Longstaff and Finnerty Models have been used to model the discount for lack of marketability/liquidity, and have been the subject of substantial controversy. A considerable part of this confusion arises from a failure to distinguish between the premium for liquidity and the discount for lack of liquidity.

This webinar makes the distinction clear and explains how removing the imputed value bias can lead to results that are clean and defensible.

Learning Objectives

After completing this webinar, attendees will be able to:

- Differentiate between the premium for liquidity and the discount for lack of liquidity
- Identify appropriate models to use under different conditions of information asymmetry
- Develop defensible discounts for lack of marketability/liquidity

Who Should Attend

Financial professionals

Presenter(s)

Dr. Ashok Abbott, PhD
Dr. Ashok Abbott is a tenured associate professor of Finance at West Virginia University in Morgantown, West Virginia.

Professor Abbott received his MBA and PhD in Finance from Virginia Tech, Blacksburg, VA. His PhD dissertation title was, "The Valuation Effects of Tax Legislation in Corporate Sell-offs."

Professor Abbott provides analytical and research support to members of the legal and valuation communities. He has served as an expert witness in state and federal court for depositions, hearings, and trials. His recent assignments include
working with S&P, Duff & Phelps, and Willamette Management Associates.

Professor Abbott's 25 years of experience in academia, 16 years of industry experience, and 20 years of litigation consulting experience, uniquely qualify him to analyze complex economic issues and develop reasoned opinions to meet the needs of dispute and valuation engagements.

In addition to publishing extensively in scholarly finance research journals, he has presented at national and international finance and valuation conferences. Professor Abbott's classroom experience allows him to present complex ideas to nonexperts in a manner that is both educational and engaging.

Professor Abbott supports valuation practitioners and litigators with quantitative research, statistical analysis, and economic modeling. His statistical capabilities include sampling and research design, testing for statistical significance, modeling and estimation and regression, and time series analysis. He works closely with litigation teams, presenting them with his independent analysis of financial and economic data. He also provides a professional critique of the opposing party expert's analysis.