Forward and spot exchange rates in a bivariate TAR framework

Structural exchange rate models explain only a small part of the movements in dollar exchange rate. Recent empirical work has focused on the failure to account for nonlinearities in the data generating mechanism, as an explanation of this bad performance. Here two bivariate threshold autoregressive models for the spot and forward exchange rates are considered. In the first model the regimes are determined by the log difference of the two rates; in the second one the regimes are driven by the forward spot no-arbitrage condition. These processes are able to capture the ‘swing’ behaviour observed in the exchange rate market. Finally the forecasting ability of the models for the dollar/DM exchange rate is evaluated by stochastic simulation.     

Decision‐Making about Workplace Disputes: A Policy‐Capturing Study of Employment Arbitrators,Labor Arbitrators,and Jurors

Firms are increasingly turning to the controversial practice of employment arbitration to resolve workplace disputes. Yet little is know about how decisions are made by employment arbitrators or how their decisions compare to those made in traditional dispute‐resolution forums. This study uses a policy‐capturing design and hierarchical linear modeling to compare how decisions about termination cases are made by employment arbitrators, labor arbitrators, and jurors. The results indicate significant differences in the overall willingness to uphold termination, with labor arbitrators being the most likely to rule in favor of the employee, followed by jurors, employment arbitrators judging statutory and for‐cause claims, and employment arbitrators judging statutory‐only claims. Significant differences were also observed between categories of decision makers in the weight given to procedural compliance, evidence of discrimination, employee work history, and stress‐inducing personal circumstances.     

Market reactions to the disclosure of internal control weaknesses and to the characteristics of those weaknesses under section 302 of the Sarbanes Oxley Act of 2002

We examine the stock price reaction to management’s disclosure of internal control weaknesses under §302 of the Sarbanes Oxley Act and to the characteristics of these weaknesses, controlling for other material announcements in the event window. We find that some characteristics of the weaknesses—their severity, management’s conclusion regarding the effectiveness of the controls, their auditability, and the vagueness of the disclosures—are informative. We also find that the information content of internal control weakness disclosures depends on the severity of the internal control weakness. Moreover, in a sub-sample uncontaminated by other announcements in the event window, we find negative price reactions to the disclosure of internal control weaknesses and material weaknesses.

Inflation Band Targeting and Optimal Inflation Contracts

In this paper we provide a theoretical treatment of how inflation target ranges cope with the time-inconsistency problem arising from incentives for the monetary policymaker to exploit the short-run trade-off between employment and inflation to pursue short-run employment objectives, as in a Barro-Gordon (1983) model. Inflation band targets are able to achieve many of the benefits that arise under practically less attractive solutions such as the conservative central banker and optimal inflation contracts. Our theoretical model also shows how an inflation targeting range should be set and how it should respond to changes in the nature of shocks to the economy.     

Developing a House Price Index for The Netherlands: A Practical Application of Weighted Repeat Sales

This paper describes the development of a house price index that has been introduced in May 2005 in The Netherlands. This monthly index, called Woningwaarde Index Kadaster (House Price Index Kadaster), is designed to detect changes in the price of the overall stock of owner-occupied homes. Fifty-five indices are calculated: one overall index, four regional indices, 12 provincial indices and 38 indices based on combinations of region/province and dwelling type. We used Case and Shiller’s geometric Weighted Repeat Sales Model to calculate monthly house price indices. We used recorded data on the sales of over 500,000 owner-occupied homes in The Netherlands, all representing repeat sales between January 1993 and December 2006. The accuracy of the index was determined using the 95% confidence interval. We observed that accuracy might become a problem in smaller sub samples. Revision volatility was explored by comparing the index values computed from all available data until December 2005 with the index values computed from the data available until December 2006. Our analysis showed that revision volatility does not seem to be a major problem to the index. We also explored heteroskedasticity in the Repeat Sales method but did not find conclusive evidence for the proposed heteroskedasticity. Given our target (a geometric mean index value) and the characteristics of the dataset (very large but without property characteristics) the Repeat Sales Method seems to be adequate for calculating a house price index for The Netherlands.

The Effect of Removing Geographic Restrictions on Banking in the United States: Lessons for Europe*

In this paper the author argues that cross‐border, intra‐European bank mergers are likely to generate benefits similar to those enjoyed in the United States when interstate banking restrictions were removed. These benefits include greater banking efficiency, higher economic and employment growth, more entrepreneurial activity, and reduced economic volatility.     

Is earnings management opportunistic or beneficial? An agency theory perspective

Earnings management has been cast into negative light due to the recent corporate scandals and, therefore, is viewed as detrimental to the firm. Enron and Worldcom represent two of the most egregious cases of opportunistic earnings management that led to the largest bankruptcies in U.S. history. However, some argue that earnings management may be beneficial because it improves the information value of earnings by conveying private information to the stockholders and the public. We offer agency theory as a tool to distinguish between the opportunistic and beneficial uses of earnings management. The empirical evidence suggests that firms where earnings management occurs to a larger (less) extent suffer less (more) agency costs. Moreover, a positive relation is documented between firm value and the extent of earnings management. Taken together, the results reveal that earnings management is, on average, not detrimental.     

Valuing the Redevelopment Option Component of Urban Land Values

This study draws from the redevelopment, real option, and urban spatial growth literatures to explore the spatial dynamics of the components of house prices. More specifically, the paper proposes that the capitalized value of the option to redevelop housing at the property level can be estimated by incorporating the likelihood of exercising the redevelopment option (the probability of redevelopment) into spatial and nonspatial hedonic house price models. Accordingly, option values are estimated for properties across the spectrum of the housing life cycle. Results from the study reveal a substantial level of spatial variation and clustering in the predicted option values, indicating that location is a major determinant of redevelopment and real option values. Furthermore, the results provide new evidence in support of the theoretical construct that properties purchased for immediate redevelopment are only valued for the underlying land.     

The Performance Effect of Feedback Frequency and Detail: Evidence from a Field Experiment in Customer Satisfaction

This paper presents the results from a field experiment that examines the effects of nonfinancial performance feedback on the behavior of professionals working for an insurance repair company. We vary the frequency (weekly and monthly) and the level of detail of the feedback that the 800 professionals receive. Contrary to what we would expect if these professionals conformed to the model of the Bayesian decision maker, more (and more frequent) information does not always help improve performance. In fact, we find that professionals achieve the best outcomes when they receive detailed but infrequent (monthly) feedback. The treatment groups with frequent feedback, regardless of how detailed it is, perform no better than the control group (with monthly and aggregate information). The results are consistent with the information in the latest feedback report being most salient and professionals in the weekly treatments overweighting their most recent performance, hampering their ability to learn.