Learn to access real stock market data (with more than 40 million data points) and develop discount estimates specific to the valuation date, industry group, market value decile, and block size for the transaction all from your laptop or smartphone in a matter of minutes, not weeks. You don’t want to miss this webinar if you use DLOM or blockage discounts in your valuation work!

Blockage and DLOM discounts have a significant impact on valuation conclusions. The discounts are often contested. Quoting “studies” and wading through compilations of “average” discounts from half a century ago is difficult to defend. Market conditions, (volatility and liquidity) and the regulatory environment are changing continuously, and so do the applicable discounts for liquidity (blockage) and marketability (DLOM). Option-based DLOM models generate discount estimates tailored to a specific transaction and can be supported with publicly available empirical data.

This webinar introduces recent advances in the application of the three exchange option models (Margrabe, Asian average, and look back, also known as Black-Scholes, Finnerty, and Longstaff) all in one place.

PLEASE NOTE: To get the most out of this webinar, we encourage all attendees to create a FREE account to access Ashok Abbott's DLOM calculator here: https://dev.liquiditydiscount.com . Our presenter will be using the calculator as part of his presentation and attendees will draw the most value if they are able to register ahead of the program start.

 

  

a. Theoretical models for estimating liquidity discounts;
b. Empirical data sources for estimating inputs for theoretical models;
c. Available online utility to access empirical data, calculate estimated discounts, and download tabular outputs;
d. An application of the utility to calculate discounts for transactions included in the Stout restricted stock placement database; and
e. An application of the utility to calculate discounts applicable to guideline public companies for blocks of the same size and the same date as the target transaction.

a. Theoretical models for estimating liquidity discounts;
b. Empirical data sources for estimating inputs for theoretical models;
c. Available online utility to access empirical data, calculate estimated discounts, and download tabular outputs;
d. An application of the utility to calculate discounts for transactions included in the Stout restricted stock placement database; and
e. An application of the utility to calculate discounts applicable to guideline public companies for blocks of the same size and the same date as the target transaction.