Asset Management

In this paper, we analyze the optimal policy for a risk averse agent who wants to sell a large block of shares of a risky security in the presence of price impact and transactions costs. Our framework reduces to the standard Merton portfolio problem in the absence of any market frictions. Optimal liquidation results in revenue distributions which are substantially different from those generated by a naive strategy. The main tradeoff involves choosing between revenue distributions which have high means versus those which have low variances.

Using pooled cross-sectional data from the Surveys of Consumer Finances, and new panel data from TIAA-CREF, we examine the empirical relationship between age and portfolio choice, focusing on the observed relationship between age and the fraction of wealth held in the stock market. We illustrate and discuss the importance of the well-known identification problem that prevents unrestricted estimation of age, time and cohort effects in longitudinal data.

In asset pricing models, the uncertainty surrounding firm fundamentals plays a central role, driving expected returns, volatility, and valuation ratios. In this paper, we extract estimates of the uncertainty embedded in earnings announcements using option prices. To do this, we take seriously the fact that the timing of earnings announcements, although not the response of equity prices, is known in advance. We develop a no-arbitrage option pricing model incorporating jumps on earnings announcement dates.

We model the trade-off between low-asset risk and low leverage to satisfy preferences for low-risk deposits and apply it to interwar New York City banks. During the 1920s, profitable lending and low costs of raising capital produced increased bank asset risk and increased capital, with no deposit risk change. Differences in the costs of raising equity explain differences in asset risk and capital ratios. In the 1930s, rising deposit default risk led to deposit withdrawals. In response, banks increased riskless assets and cut dividends.

Everyone who has studied international equity returns has noticed the episodes of high volatility and unusually high correlations coinciding with a bear market. We develop quantitative models of asset returns that match these patterns in the data and use them in two quantitative asset allocation analyses. First, we show that the presence of regimes with different correlations and expected returns is difficult to exploit with within a global asset allocation framework focussed on equities. The benefits of international diversification dominate the costs of ignoring the regimes.

We investigate whether the accruals anomaly is a manifestation of the glamour stock phenomenon documented in the finance literature. Value (glamour) stocks, characterized by low (high) past sales growth, high (low) book-to-market (B/M), high (low) earnings-to-price (E/P), and high (low) cash flow-to-price (C/P), are known to earn positive (negative) future abnormal returns. Note that "C" or cash flow is operationalized in the finance literature as earnings adjusted for depreciation.

We propose a dynamic equilibrium model of asset prices and trading volume when agents face fixed transactions costs. We show that even small fixed costs can give rise to large "no-trade" regions for each agent's optimal trading policy. The inability to trade more frequently reduces the agents' asset demand and in equilibrium gives rise to a significant illiquidity discount in asset prices.

We assemble bank-level and other data for Fed member banks to model determinants of bank failure. Fundamentals explain bank failure risk well. The first two Friedman-Schwartz crises are not associated with positive unexplained residual failure risk, or increased importance of bank illiquidity for forecasting failure. The third Friedman-Schwartz crisis is more ambiguous, but increased residual failure risk is small in the aggregate. The final crisis (early 1933) saw a large unexplained increase in bank failure risk.