This article presents a model for valuing claims subject to default by both contracting parties, such as swaps and forwards. With counterparties of different default risk, the promised cash flows of a swap are discounted by a switching discount rate that, at any given state and time, is equal to the discount rate of the counterparty for whom the swap is currently out of the money (that is, a liability). The impact of credit‐risk asymmetry and of netting is presented through both theory and numerical examples, which include interest rate and currency swaps.
This article provides the causes and symptoms of special repo rates in a competitive market for repurchase agreements. A repo rate is, in effect, an interest rate on loans collateralized by a specific instrument. A “special” is a repo rate significantly below prevailing market riskless interest rates. This article shows that specials can occur when those owning the collateral are inhibited, whether from legal or institutional requirements or from frictional costs, from supplying collateral into repurchase agreements. Specialness increases the equilibrium price for the underlying instrument by the present value of savings in borrowing costs associated with the repo specials.
The aggregate volume of equity issues is used to search for periods when seasoned equity capital can be raised at favorable terms. We find that the price reaction to equity issue announcements in high equity issue volume (HOT) periods is approximately 200 basis points lower on average than in low equity issue volume (COLD) periods. The lower price reaction in hot markets is economically important and is independent of the macroeconomic characteristics of hot and cold markets. The evidence supports the existence of windows of opportunity for equity issues that result at least partially from reduced levels of asymmetric information.
An analysis of stock and sell recommendations by security analysts at fourteen major U.S. brokerage firms shows significant, systematic discrepancies between prices and eventual values, in contrast to the conclusions of many previous studies. The average initial price change at the time of the recommendations is large, even though few recommendations coincide with other public information releases or provide previously unavailable facts. These price changes which are then ostensibly due primarily to information processing and dissemination are consistent with the expanded Grossman and Stiglitz (1980) definition of market efficiency where informed investors earn a return on their information gathering and processing efforts. Furthermore, these initial price reactions are incomplete. Post-recommendation risk-adjusted price drift implies that analysts' recommendations provide tradable value for investors. For recommendations, the mean, post-event drift is modest (+2.4%) and short-lived (one month), but for sell recommendations, the drift is larger (-9.1%), accruing over a longer six-month interval. Analysts appear to have market timing as well as stock picking abilities. Also, accurate industry predictions appear to be an important component for pessimistic recommendations (sell and removed from buy ) but not for optimistic ones (buy and removed from sell).
We test the hypothesis that when their compensation is linked to relative performance, managers of investment portfolios likely to end up as will manipulate fund risk differently than those managing portfolios likely to be An empirical investigation of the performance of 334 growth-oriented mutual funds during 1976 to 1991 demonstrates that mid-year losers tend to increase fund volatility in the latter part of an annual assessment period to a greater extent than mid-year winners. Further, we show that this effect became stronger as industry growth and investor awareness of fund performance increased over time.
We analyze a multi‐period model of trading with differentially informed traders, liquidity traders, and a market maker. Each informed trader's initial information is a noisy estimate of the long‐term value of the asset, and the different signals received by informed traders can have a variety of correlation structures. With this setup, informed traders not only compete with each other for trading profits, they also learn about other traders' signals from the observed order flow. Our work suggests that the initial correlation among the informed traders' signals has a significant effect on the informed traders' profits and the informativeness of prices.
Purchased order flow refers to the practice of dealers or trading locales paying brokers for retail order flow. It is alleged that such agreements are used to “cream skim” uninformed liquidity trades, leaving the information‐based trades to established markets. We develop a test of this hypothesis, using a model of the stochastic process of trades. We then estimate the model for a sample of stocks known to be used in order purchase agreements that trade on the New York Stock Exchange (NYSE) and the Cincinnati Stock Exchange. Our main empirical result is that there is a significant difference in the information content of orders executed in New York and Cincinnati, and that this difference is consistant with cream‐skimming.
The use of predetermined variables to represent public information and time-variation has produced new insights about asset pricing models, but the literature on mutual fund performance has not exploited these insights. This paper advocates conditional performance evaluation in which the relevant expectations are conditioned on public information variables. We modify several classical performance measures to this end and find that the predetermined variables are both statistically and economically significant. Conditioning on public information controls for biases in traditional market timing models and makes the average performance of the mutual funds in our sample look better.
Trading systems differ in their degree of transparency, here defined as the extent to which market makers can observe the size and direction of the current order flow. We investigate whether greater transparency enhances market liquidity by reducing the opportunities for taking advantage of uninformed participants. We compare the price formation process in several stylized trading systems with different degrees of transparency: various types of auction markets and a stylized dealer market. We find that greater transparency generates lower trading costs for uninformed traders on average, although not necessarily for every size of trade.
Capital requirements linked solely to credit risk are shown to increase equilibrium credit rationing and lower aggregate lending. The model predicts that the bank's decision to lend will cause an abnormal runup in the borrower's stock price and that this reaction will be greater the more capital‐constrained the bank. I provide empirical support for this prediction. The model explains the recent inability of the Federal Reserve to stimulate bank lending by increasing the money supply. I show that increasing the money supply can either raise or lower lending when capital requirements are linked only to credit risk.