The Effects of Inflation and Money Supply Announcements on Interest Rates

This paper examines the impact of the money supply and inflation rate announcements on interest rates. Survey data on expectations of the money supply and consumer and producer price indexes are used to distinguish anticipated and unanticipated components of the announcements. This distinction is used to test for the efficiency of the financial market response to the announcements of new information. The results indicate that the unanticipated components of the announced changes in the Producers Price Index and in the money supply have an immediate positive effect on short-term interest rates. The Consumer Price Index announcement has no apparent effect. There is no evidence of a delayed announcement effect. However, there is some indication of a liquidity effect of the money supply change on interest rates. This takes place when reserves are changing and several weeks prior to the information announcement.     

Mortgage Redlining: Race,Risk, and Demand

Charges that geographical redlining is widely practiced by mortgage lenders and is associated with racial discrimination have received much attention. However, empirical research in this area has yet to document a convincing answer to the question of whether redlining even exists. Much of the previous research in this area has suffered from failure to account for variations in risk, and/or failure to adequately control for geographical differences in demand. This study addresses these problems in an effort to determine whether the disparity in the flow of mortgage credit can be explained by differences in risk and demand.     

Housing Benefit and Financial Returns to Employment for Tenants in the Social Sector

This paper examines the impact of the UK housing benefit system on the financial returns to employment of people in local authority or Housing Association accommodation. It outlines the current structure of housing benefit and examines its effects on the returns to employment using data from the Family Expenditure Survey. It analyses the consequences of a number of reforms to the current system — lowering social rents, increasing the levels of housing benefit received in work and restricting the amount of rent covered by housing benefit payments. This analysis highlights the trade-offs involved in various strategies available for restructuring the present system. JEL classification: H3, H4, J3.     

How Do Anticipated Changes to Short‐Term Market Rates Influence Banks' Retail Interest Rates? Evidence from the Four Major Euro Area Economies

In this paper, we argue that banks anticipate short‐term market rates when setting interest rates on loans and deposits. In order to include anticipated rates in an empirical model, we use two methods to forecast market rates—a level, slope, curvature model, and a principal components model—before including them in a model of retail rate adjustment for four retail rates in four major euro area economies. Using both aggregate data and data from individual French banks, we find a significant role for forecasts of market rates in determining retail rates; alternative specifications with futures information yield comparable results.     

Genetic Variation in Financial Decision‐Making

Individuals differ in how they construct their investment portfolios, yet empirical models of portfolio risk typically account only for a small portion of the cross‐sectional variance. This paper asks whether genetic variation can explain some of these individual differences. Following a major pension reform Swedish adults had to form a portfolio from a large menu of funds. We match data on these investment decisions with the Swedish Twin Registry and find that approximately 25% of individual variation in portfolio risk is due to genetic variation. We also find that these results extend to several other aspects of financial decision‐making.     

Standard Error Biases When Using Generated Regressors in Accounting Research

We analyze the standard error bias associated with the use of generated regressors—independent variables generated from first-step regressions—in accounting research settings. Under general conditions, generated regressors do not affect the consistency of coefficient estimates. However, commonly used generated regressors can cause standard errors to be understated. Problematic generated regressors include predicted values, coefficient estimates, and measures derived from these estimates. Widely used generated regressors in accounting include measures of earnings persistence, normal accruals, litigation risk, and conditional conservatism. Using simple regression models and simulation, we demonstrate how generated regressors can produce understated standard errors in accounting research settings. We also demonstrate how the magnitude of the standard error bias is inversely related to the precision of the generated regressor. Finally, we discuss bootstrapping as a correction for the bias and demonstrate the pairs cluster bootstrap as a tool to improve inferences in common accounting settings involving generated regressors.     

Informed Trading through the Accounts of Children

This study shows that the guardians behind underaged accounts are successful at picking stocks. Moreover, they tend to channel their best trades through the accounts of children, especially when they trade just before major earnings announcements, large price changes, and takeover announcements. Building on these results, we argue that the proportion of total trading activity through underaged accounts (labeled BABYPIN) should serve as an effective proxy for the probability of information trading in a stock. Consistent with this claim, we show that investors demand a higher return for holding stocks with a greater likelihood of private information, proxied by BABYPIN.