Globalization, Financial Volatility and Monetary Policy

Recently it has often been claimed that globalization eases the job of central banks as it helps to tame inflation. This is used to argue that central banks (particularly the ECB, referring to the objectives as laid down in the EU Treaty) could or should reduce their efforts in the fight against inflation in favor of supporting the general economic policies of the governments. This paper takes a critical look at this argument, pointing to the structural changes associated with globalization and to the corresponding increase in uncertainty by which the central banks are affected. As an example of this, the increase in financial volatility is analyzed and explained as the result of optimal portfolio allocation, and its implications for monetary policy are discussed.     

Equal opportunity and poverty reduction: How should aid be allocated?

This paper analyzes a model of aid allocation equalizing the opportunity between recipient countries to reach a common poverty reduction goal. We propose a fair and efficient aid allocation based on a multicriteria principle. The model considers structural handicaps in recipient countries in terms of lack of human capital and economic vulnerability, their initial poverty, and the natural gap between the growth rate required to reach a development goal and the observed one. We show that our proposed aid allocation favors poor and vulnerable countries with our multicriteria principle. It substantially differs from the observed allocation. Analyses also shed light on the impact of the donors' aversion to the low natural growth gap in recipient countries on the optimal aid allocation and the marginal efficiency of aid.     

An Empirical Analysis of and Policy Recommendations to Improve the Nutritional Quality of School Meals

The National School Lunch Program is not meeting its nutritional goals. Data for 330 Minnesota school districts are analyzed to derive recommendations for improving the nutritional quality of school lunches. This study finds, contrary to widely held views, that lunch sales do not decline when healthier meals with less fat, for example, are served and that more nutritious lunches do not necessarily cost more. Healthier meals have higher labor costs, but lower costs for processed foods. Indirect costs, paid by the food service to the school district, negatively affect meal quality by decreasing funds to upgrade kitchens and train staff to prepare more nutritious meals.     

The pernicious effects of contaminated data in risk management

Banks hold capital to guard against unexpected surges in losses and long freezes in financial markets. The minimum level of capital is set by banking regulators as a function of the banks’ own estimates of their risk exposures. As a result, a great challenge for both banks and regulators is to validate internal risk models. We show that a large fraction of US and international banks uses contaminated data when testing their models. In particular, most banks validate their market risk model using profit-and-loss (P/L) data that include fees and commissions and intraday trading revenues. This practice is inconsistent with the definition of the employed market risk measure. Using both bank data and simulations, we find that data contamination has dramatic implications for model validation and can lead to the acceptance of misspecified risk models. Moreover, our estimates suggest that the use of contaminated data can significantly reduce (market-risk induced) regulatory capital.     

Robust estimation of intraweek periodicity in volatility and jump detection

Opening, lunch and closing of financial markets induce a periodic component in the volatility of high-frequency returns. We show that price jumps cause a large bias in the classical periodicity estimators and propose robust alternatives. We find that accounting for periodicity greatly improves the accuracy of intraday jump detection methods. It increases the power to detect the relatively small jumps occurring at times for which volatility is periodically low and reduces the number of spurious jump detections at times of periodically high volatility. We use the series of detected jumps to estimate robustly the long memory parameter of the squared EUR/USD, GBP/USD and YEN/USD returns.     

Banking efficiency in transition economies

An increasing share of the banking sector is controlled by foreign capital in the majority of transition countries. To analyse the effects of this trend on the performance of the banking sector in these countries, this study conducts a comparative analysis of the performance of foreign‐owned and domestic‐owned banks operating in the Czech Republic and Poland. We use the stochastic frontier approach to compute cost efficiency scores. Following Mester (1996 ), financial capital is included in the cost frontier model to control for risk preferences. Our finding is that on average foreign‐owned banks are more efficient than domestic‐owned banks. We conclude, however, that this advantage does not result from differences in the scale of operations or the structure of activities.     

Export Intensity and Plant Characteristics: What Can We Learn from Quantile Regression?

Using quantile regression and a rich cross section data set for German manufacturing plants this paper documents that the impact of plant characteristics on export activities varies along the conditional size distribution of the export/sales ratio. For example, firm size is statistically significant at a conventional level for the 0.25 quantile only; branch plant status matters at the upper tail of the conditional distribution of the export/sales ratio only; the craft shop dummy is only significant for the very top quantile; and patents do not matter at the very lower end of the conditional distribution of export over sales. This has implications both for understanding what makes a successful exporter, and for the design of policy measures with a focus on supporting exporters. JEL no. F10, D21, L60