NBER Publications by Peter Tufano

We analyze a national sample of Americans with respect to their debt literacy, financial experiences, and their judgments about the extent of their indebtedness. Debt literacy is measured by questions testing knowledge of fundamental concepts related to debt and by self-assessed financial knowledge. Financial experiences are the participants' reported experiences with traditional borrowing, alternative borrowing, and investing activities. Overindebtedness is a self-reported measure. Overall, we find that debt literacy is low: only about one-third of the population seems to comprehend interest compounding or the workings of credit cards. Even after controlling for demographics, we find a strong relationship between debt literacy and both financial experiences and debt loads. Specifically...

We study a firm that justifies its novel use of equity derivatives as a cash-flow hedging strategy. Our purpose is to understand the challenge of translating risk management theory into managerial action. Cephalon Inc., a biotech firm, bought a large block of call options on its own stock. If the FDA approved the firm's new drug, the firm would have large cash needs, which the options were designed to meet. We analyze this stated rationale for the firm's choice, applying the cash flow hedging concepts articulated by Froot, Scharfstein and Stein (1993). In applying the theory to practice, there are lessons for both managers and theorists. Managers consider deadweight costs of financing and of risk management, whereas theory tends to ignore the latter costs. While theory is driven by c...

In 1997, France T‚l‚com, the state-owned French telephone company, went through a partial privatization. The government offered current and prior France T‚l‚com employees the opportunity to buy portfolios of shares with various combinations of discounts, required holding periods, leverage, tax treatment, and levels of downside protection. We adapt a neoclassical model of investment decision-making that takes into account firm-specific human capital and holding period restrictions to predict how employees might respond to the share offers. Using a database that tracks over 200,000 eligible participants, we analyze the employees' characteristics and their decisions whether to participate; how much to invest; and what form of stock alternatives they selected.