How to measure mutual fund performance: economic versus statistical relevance

In the present paper a comprehensive assessment of existing mutual fund performance models is presented. Using a survivor‐bias free database of all US mutual funds, we explore the added value of introducing extra variables such as size, book‐to‐market, momentum and a bond index. In addition to that we evaluate the use of introducing time‐variation in betas and alpha. The search for the most suitable model to measure mutual fund performance will be addressed along two lines. First, we are interested in the statistical significance of adding more factors to the single factor model. Second, we focus on the economic importance of more elaborate model specifications. The added value of the present study lies both in the step‐wise process of identifying relevant factors, and the use of a rich US mutual fund database that was recently released by the Center for Research in Security Prices.     

Building Small City and Town Sams and CGE Models

In this paper we attempt to describe both the data sources and organizational methods that allow for effective and easily created SAMs and regional computable general equilibrium (CGE) models. Small cities of around 100,000 people will face very different constraints than a town of 2000 people. Unfortunately, most CGE models typically describe relatively large geographical areas and are therefore not able to capture the uniqueness of individual cities within the region. An illustrative example using these methods demonstrates that the economic impacts vary substantially over different municipalities to the same economic shock.     

Project Evaluation and Uncertainty in Practice: A Statistical Analysis of Rate-of-Return Divergences of 1,015 World Bank Projects

This article analyzes the World Bank's experience with projectevaluation for a sample of 1,015 projects by comparing estimatedrates of return at appraisal with reestimated rates of returnwhen construction works are completed, usually 5 to 10 yearsafter appraisal. The analysis highlights the high degree ofuncertainty in project analysis. A wide range of variables hasbeen introduced to explain the observed divergence in appraisaland reestimated rates of return, but only a relatively smallpart of the divergence can be explained, even with the benefitof hindsight. Project analysis thus has to cope with a largedegree of uncertainty, which the traditional methods of projectevaluation and selection have not been able to reduce.     

The Returns to Academic and Vocational Qualifications in Britain

This paper uses data from the 1991 sweep of the National Child Development Study (NCDS) and the 1998 Labour Force Survey (LFS) to provide a comprehensive analysis of the labour market returns to academic and vocational qualifications. The results show that the wage premia from academic qualifications are typically higher than from vocational qualifications. However, this gap is reduced somewhat, when we control for the amount of time taken to acquire different qualifications. This is particularly important for vocational courses, which generally take shorter time periods to complete. In the paper we also investigate how returns vary by gender, subsequent qualifications, and the natural ability of individuals. Finally, by comparing the NCDS results with those from the LFS, we estimate the bias that can result from not controlling for factors such as ability, family background and measurement error. The results reveal that the estimated returns in the NCDS equations controlling for ability, family background and measurement error are similar to the simple OLS estimates obtained with the LFS, which do not control for these factors. This suggests that the biases generally offset one another.     

Corporate precautionary cash holdings

This paper models the precautionary motive for a firm's cash holdings. A two-period investment model shows that the cash holdings of financially constrained firms are sensitive to cash flow volatility because financial constraints create an intertemporal trade-off between current and future investments. When future cash flow risk cannot be fully diversifiable, this intertemporal trade-off gives constrained firms the incentives of precautionary savings: they increase their cash holdings in response to increases in cash flow volatility. However, there is no systematic relationship between cash holdings and cash flow volatility for unconstrained firms. We test the empirical implications of our theory using quarterly information from a sample of U.S. publicly traded companies from 1997 to 2002, and find that the empirical evidence supports our theory.     

Impact factors

In this paper we discuss sensitivity of forecasts with respect to the information set considered in prediction; a sensitivity measure called impact factor, IF, is defined. This notion is specialized to the case of VAR processes integrated of order 0, 1 and 2. For stationary VARs this measure corresponds to the sum of the impulse response coefficients. For integrated VAR systems, the IF has a direct interpretation in terms of long-run forecasts. Various applications of this concept are reviewed; they include questions of policy effectiveness and of forecast uncertainty due to data revisions. A unified approach to inference on the IF is given, showing under what circumstances standard asymptotic inference can be conducted also in systems integrated of order 1 and 2. It is shown how the results reported here can be used to calculate similar sensitivity measures for models with a simultaneity structure.     

Changing monetary transmission mechanisms within the EU

The paper presents a comparative analysis of monetary transmission mechanisms and changes in them after the secondERM in March 1983. The empirical model investigates the determination of money, income, prices, and interest rates in Germany, Denmark, and Italy based on the cointegratedVAR model. It provides empirical results on the macroeconomic effects of joining theERM and financial deregulation.