Learning and the monetary policy strategy of the European Central Bank

This paper examines the welfare implications of alternative inflation targeting proposals for the monetary policy of the European Central Bank. We assume that policy makers have to “learn” the laws of motion of inflation in an economy characterized by “stickiness” in domestic price setting behavior and subjected to recurring shocks to productivity, exports and foreign price. We find that a switch from an “asymmetric” inflation targeting strategy to an “symmetric” makes little difference in welfare payoffs, but it comes at a cost of much higher interest-rate variability. We also find that there are practically no welfare gains from switching from an inflation-targeting strategy based on the Harmonized Index of Consumer Prices (HICP) to a strategy based on the domestic price component of the HICP.     

Competition and Information Production in Market Maker Models

Abstract:   The microstructure literature models the mechanisms through which fundamental information is incorporated into market prices. This paper extends previous models by endogenising information production and analysing incentives for costly information production. In contrast to the existing literature, increasing the number of informed traders can result in reduced price informativeness. When prices have an allocative role this has welfare consequences: the regulatory implications of a dichotomy between private and public incentives for information gathering are discussed.     

A Re-Examination of Financial Analysts' Differential Earnings Forecast Accuracy*

Abstract. This research re-examines whether there are differences in the forecast accuracy of financial analysts through a comparison of their annual earnings per share forecasts. The comparison of analyst forecast accuracy is made on both an ex post (within sample) and an ex ante (out of sample) basis. Early examinations of this issue by Richards (1976), Brown and Rozeff (1980), O'Brien (1987), Coggin and Hunter (1989), O'Brien (1990), and Butler and Lang (1991) were ex post and suggest the absence of analysts who can provide relatively more accurate forecasts over multiple years. Contrary to the results of prior research and consistent with the belief in the popular press, we document that differences do exist in financial analysts' ex post forecast accuracy. We show that the previous studies failed to find differences in forecast accuracy due to inadequate (or no) control for differences in the recency of forecasts issued by the analysts. It has been well documented in the literature that forecast recency is positively related to forecast accuracy (Crichfield, Dyckman, and Lakonishok 1978; O'Brien 1988; Brown 1991). Thus, failure to control for forecast recency may reduce the power of tests, making it difficult to reject the null hypothesis of no differences in forecast accuracy even if they do exist. In our analysis, we control for the differences in recency of analysts' forecasts using two different approaches. First, we use an estimated generalized least squares estimation procedure that captures the recency-induced effects in the residuals of the model. Second, we use a matched-pair design whereby we measure the relative forecast accuracy of an analyst by comparing his/her forecast error to the forecast error of another randomly selected analyst making forecasts for the same firm in the same year on or around the same date. Using both approaches, we find that differential forecast accuracy does exist amongst analysts, especially in samples with minimum forecast horizons of five and 60 trading days. We show that these differences are not attributable to differences in the forecast issuance frequency of the financial analysts. In sum, after controlling for firm, year, forecast recency, and forecast issuance frequency of individual analysts, the analyst effect persists. To validate our findings, we examine whether the differences in the forecast accuracy of financial analysts persist in holdout periods. Analysts were assigned a “superior” (“inferior”) status for a firm-year in the estimation sample using percentile rankings on the distribution of absolute forecast errors for that firm-year. We use estimation samples of one- to four-year duration, and consider two different definitions of analyst forecast superiority. Analysts were classified as firm-specific “superior” if they maintained a “superior” status in every year of the estimation sample. Furthermore, they were classified as industry-specific “superior” if they were deemed firm-specific “superior” with respect to at least two firms and firm-specific “inferior” with respect to no firm in that industry. Using either definition, we find that analysts classified as “superior” in estimation samples generally remain superior in holdout periods. In contrast, we find that analysts identified as “inferior” in estimation samples do not remain inferior in holdout periods. Our results suggest that some analysts' earnings forecasts should be weighted higher than others when formulating composite earnings expectations. This suggestion is predicated on the assumption that capital markets distinguish between analysts who are ex ante superior, and that they utilize this information when formulating stock prices. Our study provides an ex ante framework for identifying those analysts who appear to be superior. When constructing weighted forecasts, a one-year estimation period should be used because we obtain the strongest results of persistence in this case.     

Unemployment compensation and episodes of nonemployment

This paper examines the influence of unemployment insurance (UI) on the length of nonemployment spells experienced by young workers. The analysis introduces a flexible duration model to estimate the effects of the weekly benefit amount and weeks of eligibility on the amount of time spent between jobs by men, distinguishing between the experiences of UI and non-UI recipients. The empirical findings suggest three conclusions: (1) UI recipients experience longer spells of nonemployment than their non-UI recipient counterparts, at least up to the point of exhaustion of UI benefits; (2) the level of the weekly benefit amount does not significantly affect the length of nonemployment spells; and (3) increasing the number of weeks of eligibility offered by a UI program leads to longer episodes of nonemployment.     

The Distribution of Multifamily Mortgage Originations: What We Know and Why We Care

Three policy-relevant questions about multifamily mortgage originations (MFOs) are addressed. First, what is the annual volume of MFOs? This analysis highlights differences and problems among three publicly available multifamily lending surveys; the 1993 volume is estimated at $30 billion. Second, what is the size distribution of multifamily mortgages? Using kernel density estimation, variation in this distribution among central cities and suburbs, underserved areas, and lender type is examined. Third, what are the primary determinants of the variation in multifamily lending? A relatively simple regression model is estimated to shed light on the variables most highly correlated with multifamily lending. Tract income relative to MSA median income and minority concentrations are shown to be highly correlated with lending volume, but the largest source of variation is the number of multifamily rental units in the tract.     

INITIAL PUBLIC OFFERINGS: GOING BY THE BOOK

In the U.S., and increasingly in other countries as well, IPO securities are marketed to investors in a process known as "book-building"—one that amounts to polling institutional investors to establish a demand schedule for the issue and then allotting stock to individual investors according to the strength of their professed interest. Although book-building methods require use of discriminatory tactics that have attracted strong criticism from investors and regulators, this article defends such practices by demonstrating that book-building is more efficient than alternative methods. It effectively allows issuers to increase the net proceeds of their offerings by making better use of information about market demand conditions.
In the process of explaining the efficiency of the book-building method, this article also offers a plausible explanation for a phenomenon that has long puzzled economists: the systematic underpricing of IPOs. The key to the success of a book-building effort lies in the use of a strategic pricing and allocation policy designed to offset the investor's incentive to understate his or her interest in an IPO. By committing to favor investors who provide strong indications of interest with relatively large allocations of underpriced shares, the investment bank can limit the distortion of investor's incentives in bidding and so increase the level of proceeds the issuing firm can expect to generate from its IPO.     

Endogenous communication among lenders and entrepreneurial incentives

If banks have an informational monopoly about their clients,borrowers may curtail their effort level for fear of being exploitedvia high interest rates in the future. Banks can correct thisincentive problem by committing to share private informationwith other lenders. The fiercer competition triggered by informationsharing lowers future interest rates and future profits of banks.But, provided banks retain an initial informational advantage,their current profits are raised by the borrowers' higher effort.This trade-off determines the banks' willingness to share information.Their decision affects credit market competition, interest rates,volume of lending, and social welfare.