Abstract ABSTRACT: Publicly traded stock is normally valued in tax settings by multiplying the mean between the highest and lowest sales price on the valuation date by the number of shares of stock. However, when a large block of publicly traded stock must be valued, the valuation process is more complex. This study identifies the variables cited by the courts and the tax literature in these valuation cases. Multiple regression analysis is then used to develop mathematical models of the courts' decision results. The model developed using Tax Court cases is compared to a model developed using cases from the Tax Court, the Court of Claims, and the district courts.
Sandra S. Kramer (Fri,) studied this question.