FX volatility forecasts and the informational content of market data for volatility

The paper examines the medium-term forecasting ability of several alternative models of currency volatility. The data period covers more than eight years of daily observations, January 1991 to March 1999, for the spot exchange rate, 1- and 3-month volatility of the DEM/JPY, GBP/DEM, GBP/USD, USD/CHF, USD/DEM and USD/JPY. Comparing with the results of ‘pure’ time series models, the reported work investigates whether market implied volatility data can add value in terms of medium-term forecasting accuracy. This is done using data directly available from the marketplace in order to avoid the potential biases arising from ‘backing out’ volatility from a specific option pricing model. On the basis of the over 34 000 out-of-sample forecasts produced, evidence tends to indicate that, although no single volatility model emerges as an overall winner in terms of forecasting accuracy, the ‘mixed’ models incorporating market data for currency volatility perform best most of the time.     

Economic Integration and Manufacturing Concentration Patterns: Evidence from MERCOSUR

Over the past two decades, Argentina, Brazil, Paraguay, and Uruguay have implemented unilateral trade liberalization programs and formed MERCOSUR. The effects of these reforms on production structures in these countries have not received a great deal of attention. This paper analyses patterns of relative manufacturing concentration in Argentina, Brazil, and Uruguay over the period 1985–1998. Our results indicate that localisation of demand and comparative advantages are the main driving forces of these patterns. The establishment of MERCOSUR has fostered the relative importance of factor endowments and production linkages in shaping the spatial distribution of manufacturing in the above three countries. JEL Classification Numbers: F14, F15, L60, C23     

The Role of Interest Rates in Influencing Long-Run Homeownership Rates

As a stated policy objective, the U.S. Department of Housing and Urban Development (HUD) seeks to boost the national homeownership rate to 70 percent by 2006. To accomplish this goal, they estimate that 3.8 million additional families be added to the ranks of U.S. homeowners. Furthermore, HUD estimates that the homeownership gap between minority and nonminority families must be reduced by a full 15 percent. Many policy instruments—both targeted and otherwise—have been suggested to increase homeownership. These range from low downpayment loans, greater access to credit in underserved areas, and interest rates subsidies. However, little is know about the efficacy of these measures to raise long-term homeownership rates. In this analysis, we focus on the role of interest rates on homeownership rates and the housing stock. In particular, we provide a critical review of the literature on the relationship between housing and interest rates in contrast to other determinants of homeownership and changes in housing supply. We then present our own estimates of the influence of interest rates on homeownership and housing starts. We find that interest rates play little direct role in changing homeownership rates. While changes in interest rates may affect the timing of changes in tenure status from renter to owner, the long-run ownership rate appears independent of interest rates. We find housing starts are, however, sensitive to changes in the interest rate. This implies that housing supply, or at least the timing of changes in housing supply, is sensitive to interest rates. It is though this mechanism that the stock of owner-occupied housing expands, though household formation and immigration may leave the ownership rate unchanged. We conclude by discussing whether other instruments, such as low down payment loans and improved technology for assessment of credit risk, may potentially be better suited to increasing long-term homeownership rates.     

OPTIMAL IMPLEMENTATION DELAYS: WHEN SHOULD POLICIES BE ANNOUNCED?

While a delay between the publication and implementation of a policy can make the time‐consistent solution capture the expectational effects that make commitment superior to discretion, this comes at the cost of a suboptimal present‐period policy. This cost is larger the longer the delay, and the more extreme the prevailing conditions, making the optimal duration of an implementation delay vary over time as initial conditions change. Therefore, we integrate over these to choose the implementation delay that will do best on average. The optimal delay is usually of intermediate length, balancing commitment gains with the loss of responsiveness to contemporary needs.     

Managerial expertise,learning potential and dynamic incentives: get more for less?

In this paper the impact of ability and learning potential on incentive contracts is analyzed. A central feature of the model is that the true ability will not be revealed. The learning potential of an agent is modeled as the magnitude of impact on the agent's expected ability that learning‐by‐doing has in a given task. Absent a managerial labor market, depending on an agent's learning potential, a monotone or non‐monotone pay structure may be optimal. The second important result is that using agents' ability distributions as inputs to information systems, higher learning potentials lead to less costly information systems, i.e. actions can be implemented at lower costs. Additionally, it is proven that the criteria cost minimization and value maximization are equivalent in the model's context. Copyright © 2007 John Wiley & Sons, Ltd.