Fundamental Investment Analysis

In this paper we develop a residual-income model showing how taxes on dividends affect the relative valuation of retained earnings versus contributed equity, as well as the value of expected future earnings. Tests of predictions from our model for a sample of Compustat firms from 1975-94 suggest that overall firm value, and the relative valuation weights investors assign to retained earnings, contributed equity, and current earnings, all critically depend on dividend taxes.

This paper lays out alternative equity valuation models that involve forecasting for finite periods and shows how they are related to each other. It contrasts dividend discounting models, discounted cash flow models, and "residual income" models based on accrual accounting. It shows that some models that are apparently different yield the same valuation. It gives the general form of the terminal value calculation in these models and shows how this calculation serves to correct errors in the model.

Our goal in this paper is to challenge the following popular argument: projected returns to Social Security are low relative to expected returns on stocks and bonds, and therefore everyone would receive higher returns and be better off if the United States moved to a privatized system where individuals could directly invest their contributions in stocks and bonds. We argue that for household with access to diversified capital markets, privatization without prefunding would not increase Social Security returns, when properly measured.

It is common to apply multipliers to both earnings and book value to calculate approximate equity values. However, applying a price-earnings multiplier or a price-to-book multiplier typically produces two valuations and the analyst is left with the question of how to combine them into one valuation. This paper calculates weights that combine the valuations and shows that these weights vary over the difference between earnings and book value, doing so systematically over time.

It is common to apply multipliers to both earnings and book value to calculate approximate equity values. However, applying a price-earnings multiplier or a price-to-book multiplier typically produces two valuations and the analyst is left with the question of how to combine them into one valuation. This paper calculates weights that combine the valuations and shows that these weights vary over the difference between earnings and book value, doing so systematically over time.

It is argued that, with respect to efficiency gains, the distinction between reform toward a broad-based income tax and reform toward a broad-based consumption tax is relatively minor. This is not to say that there are not important efficiency and distributional consequences of moving from the current tax system to a broad-based consumption tax. Most such consequences can be traced to reform of the income tax.

The Monte Carlo approach has proved to be a valuable and flexible computational tool in modern finance. This paper discusses some of the recent applications of the Monte Carlo method to security pricing problems, with emphasis on improvements in efficiency. We first review some variance reduction methods that have proved useful in finance. Then we describe the use of deterministic low-discrepancy sequences, also known as quasi-Monte Carlo methods, for the valuation of complex derivative securities.

We develop a simulation algorithm for estimating the prices of American-style securities, i.e., securities with opportunities for early exercise. Our algorithm provides both point estimates and error bounds for the true security price. It generates two estimates, one biased high and one biased low, both asymptotically unbiased and converging to the true price. Combining the two estimators yields a confidence interval for the true price.