Using the model structure of Easley and O'Hara (Journal of Finance, 47, 577–604), we demonstrate how the parameters of the market-maker's beliefs can be estimated from trade data. We show how to extract information from both trade and no-trade intervals, and how intraday and interday data provide information. We derive and evaluate tests of model specification and estimate the information content of differential trade sizes. Our work provides a framework for testing extant microstructure models, shows how to extract the information contained in the trading process, and demonstrates the empirical importance of asymmetric information models for asset prices.

This article provides a Markov model for the term structure of credit risk spreads. The model is based on Jarrow and Turnbull (1995), with the bankruptcy process following a discrete state space Markov chain in credit ratings. The parameters of this process are easily estimated using observable data. This model is useful for pricing and hedging corporate debt with imbedded options, for pricing and hedging OTC derivatives with counterparty risk, for pricing and hedging (foreign) government bonds subject to default risk (e.g., municipal bonds), for pricing and hedging credit derivatives, and for risk management.

[Using a sample of publicly traded savings and loan associations (S&Ls), this paper provides evidence that off-balance-sheet derivatives activities are positively associated with lower stock-price interest rate sensitivity. Similar to the results for derivatives, on-balance-sheet exposures to interest rate changes, as measured by the maturity mismatch of institutions' assets and liabilities, are also value relevant. Currently, the measures of on-balance-sheet interest rate risk and the corresponding impact of derivatives used in this study are not required annual report disclosures. Rather, these data are obtained from regulatory filings. The reporting of the impact of derivatives on the corresponding measure of on-balance-sheet risk is analogous to the concept of "at-risk" disclosures for derivatives which have been encouraged by the FASB and SEC. Therefore, the results suggest that the proposed disclosures will provide value-relevant information about interest rate risk for S&Ls.]

This study tests assertions that Economic Value Added (EVA®) is more highly associated with stock returns and firm values than accrual earnings, and evaluates which components of EVA, if any, contribute to these associations. Relative information content tests reveal earnings to be more highly associated with returns and firm values than EVA, residual income, or cash flow from operations. Incremental tests suggest that EVA components add only marginally to information content beyond earnings. Considered together, these results do not support claims that EVA dominates earnings in relative information content, and suggest rather that earnings generally outperforms EVA.

This paper reports measures of preference parameters relating to risk tolerance, time preference, and intertemporal substitution. These measures are based on survey responses to hypothetical situations constructed using an economic theorist's concept of the underlying parameters. The individual measures of preference parameters display heterogeneity. Estimated risk tolerance and the elasticity of intertemporal substitution are essentially uncorrelated across individuals. Measured risk tolerance is positively related to risky behaviors, including smoking, drinking, failing to have insurance, and holding stocks rather than Treasury bills. These relationships are both statistically and quantitatively significant, although measured risk tolerance explains only a small fraction of the variation of the studied behaviors.

This paper presents a model to estimate the rate of capacity utilization (CU) in the manufacturing sector by state. Consistent measures of state-level CU rates have been unavailable since 1982. The lack of a capacity measure has hindered regional studies of capital formation, long-run output growth, and productivity growth. Our model employs a neoclassical approach to estimate CU. We estimate a model to determine the optimal level of production and compare it with the actual level in order to define our CU index. Our results show that states in the West North Central, South Atlantic, and Pacific census divisions tend to have a CU index consistently above the nation's average. On the other hand, states in the East North Central and West South Central census divisions tend to have a CU index below the nation's average.

This paper investigates the empirical effect of volatility on irreversible investments. We use a sample of chemical products in the United States and the European Union to test the impact of volatility on new investments in capacity. We distinguish among three sources of volatility: exchange rates, input prices, and product demand. We find that the effects of volatility on the amount of capacity investment differ depending on the source of volatility. Input prices and product demand volatility do not appear to have a material and statistically significant effect in either the United States or the European Union. In contrast, exchange rate volatility has a significant negative impact on investment by chemical manufacturers in the European Union.

Real output in most advanced capitalist economies fluctuates around a rising trend. One can argue about whether it is best to think about that trend as passing through successive cyclical averages, defined in one way or another, or best to think of it as passing through cyclical peaks, or some other measure of output. While the outcome of that argument has consequences for macroeconomic theory, I will bypass it for now. The important observation is that, on the whole, the observed fluctuations around trend are contained within a moderately narrow corridor. Unemployment rates tend to run between, say, 5 percent and 10 percent in the United States. (Other countries have different typical ranges, and in each of them, the range can shift from time to time. It is important, theoretically and practically, to understand why; but that remains an open question.) There are notable exceptions to this generalization, of course, the most famous being the depression of the 1930's; but they are exceptions. Again it is important to know why fluctuations are so contained. This could reflect some natural equilibrating process, or it could reflect the intervention of automatic or discretionary government policy, or it could be a mixture of both. That is another issue on which opinions differ. I think it is part of the usable common core of macroeconomics that the trend movement is predominantly driven by the supply side of the economy (the supply of factors of production and total factor productivity) and that the appropriate vehicle for analyzing the trend motion is some sort of growth model, preferably mine. Now, what about those fluctuations around the trend of potential output? A moment ago I put the normal range of unemployment rates at 5-10 percent. By Okun's law I am talking about fluctuations of real GDP with an amplitude of 8-10 percent or so from peak to trough-contained, but not trivial. In my picture of the usable common core of macroeconomics, those fluctuations are predominantly driven by aggregate demand impulses, and the appropriate vehicle for analyzing them is some model of the various sources of expenditure. I am not so obtuse as not to have observed that the whole point of theory is the assertion that these short-run motions of the economy are in fact supplydriven. But my view is that this explanation has been an empirical failure, or at best a nonsuccess. There are now two possibilities. As for the first, I entertain the hope that flexible, observant members of the real-business-cycle school, like Martin Eichenbaum and his coworkers, have come more or less to the same conclusion, and they have found ways to open up the fabric of their underlying model so that it will allow-or insist-that demand-side impulses play the dominant role in short-run macroeconomic fluctuations. Then this proposition is indeed part of the usable core of macroeconomics, and economists can go on to argue back and forth about the best way of modeling those demand-side forces. The other case is that the situation is as before, and the real-business-cycle school holds monolithically to the view that short-run fluctuations are just optimal supply-side adjustments to unforeseeable shocks to tastes and * Department of Economics, Massachusetts Institute of Technology, Cambridge, MA 02139.