Knowledge that Transforms

Countries that joined the European Union in 2004 have to decide when to adopt the Euro. This decision depends on the evaluation of the relative costs and benefits associated with giving up the exchange rate instrument. Recent empirical work on several new EU members has questioned the role of the exchange rate as a shock absorber, thus downplaying the potential costs in terms of macroeconomic stabilization. In this paper, we address the issue from a different perspective, emphasizing the role of pass-through from exchange rate to domestic inflation in new EU members. The focus is on four countries (Czech Republic, Hungary, Poland and Slovenia – NM-4) that have adopted some form of floating or managed exchange rate regimes. The paper reports empirical results indicating high pass-through coefficients and links them to the degree of policy accommodation. High exchange rate pass-through in NM-4 indicates that stabilization of nominal exchange rates would lower inflationary pressures and help fulfill criteria to enter the EMU.

Dynamic models for credit rating transitions are important ingredients for dynamic credit risk analyses. We compare the properties of two such models that have recently been put forward. The models mainly differ in their treatment of systematic risk, which can be modeled either using discrete states (e.g., expansion versus recession) or continuous states. It turns out that the implied asset correlations and default rate volatilities for discrete state switching models are implausibly low compared to empirical estimates from the literature. We conclude that care has to be taken when discrete state regime switching models are employed for dynamic credit risk management. As a side result of our analysis, we obtain indirect evidence that asset correlations may change over the business cycle.

Volatility risk plays an important role in the management of portfolios of derivative assets as well as portfolios of basic assets. This risk is currently managed by volatility “swaps” or futures. However, this risk could be managed more efficiently using options on volatility that were proposed in the past but were never introduced mainly due to the lack of a cost efficient tradable underlying asset. The objective of this paper is to introduce a new volatility instrument, an option on a straddle, which can be used to hedge volatility risk. The design and valuation of such an instrument are the basic ingredients of a successful financial product. In order to value these options, we combine the approaches of compound options and stochastic volatility. Our numerical results show that the straddle option is a powerful instrument to hedge volatility risk. An additional benefit of such an innovation is that it will provide a direct estimate of the market price for volatility risk.

Due to the new regulatory guidelines known as Basel II for banking and Solvency 2 for insurance, the financial industry is looking for qualitative approaches to and quantitative models for operational risk. Whereas a full quantitative approach may never be achieved, in this paper we present some techniques from probability and statistics which no doubt will prove useful in any quantitative modelling environment. The techniques discussed are advanced peaks over threshold modelling, the construction of dependent loss processes and the establishment of bounds for risk measures under partial information, and can be applied to other areas of quantitative risk management.1This paper was presented as an invited contribution at the meeting “Implementing an AMA for Operational Risk”, Federal Reserve Bank of Boston, May 18–20, 2005.1

This paper addresses the credit channel in Germany by using aggregate data. We present a stylized model of the banking firm in which banks decide on their loan supply in the light of expectations about the future course of monetary policy. Applying a VAR model, we estimate the response of bank loans to a monetary policy shock taking account of the reaction of the output level and the loan rate. We estimate our model to evaluate the response of bank loans by matching the theoretical impulse responses with the empirical impulse responses to a monetary policy shock. Evidence in support of the credit channel can be reported.

We measure regression model performance (as perceived by a conservative investor betting on a complete market) via the out-of-sample expected utility for the allocation that maximizes expected utility under a most adverse model-consistent measure. This robust allocation is optimal under the minimum generalized relative entropy (MGRE) measure. We analyze our performance measure in the (practical) case of an investor whose utility function is a member of a three-parameter logarithmic family with a wide range of possible risk aversions. Here, our performance measure is independent of the market prices, and the MGRE measure minimizes the Kullback–Leibler relative entropy.

This paper shows that the well known “duration” and “cohort” methods for estimating transition probabilities of external bond ratings are not suitable for internal rating data. More precisely, the duration method cannot and the cohort method should not be used in connection with banks’ ratings generated from internal models. Structural differences within the borrower monitoring process of banks and rating agencies are responsible for this result. A Maximum Likelihood (ML) estimation procedure, which accounts for the peculiarities of internal bank ratings, is introduced and applied to data from a German bank. The empirical results indicate that the differences between cohort and ML transition matrices are both, statistically and economically significant. Furthermore, evidence of rating reversals, business cycle dependent transition probabilities and on the factors which determine the borrower monitoring intensity of banks is provided.

This paper develops and estimates a heteroskedastic variant of Campbell’s [Campbell, J., 1993. Intertemporal asset pricing without consumption data. American Economic Review 83, 487–512] ICAPM, in which risk factors include a stock market return and variables forecasting stock market returns or variance. Our main innovation is the use of a new set of predictive variables, which not only have superior forecasting abilities for stock returns and variance, but also are theoretically motivated. In contrast with the early authors, we find that Campbell’s ICAPM performs significantly better than the CAPM. That is, the additional factors account for a substantial portion of the two CAPM-related anomalies, namely, the value premium and the momentum profit.

New Member States (NMS) coming from central planning are often advised against early Euro adoption because of their rigid labour markets. But are labour markets so rigid in these countries? We argue in this paper that this is not the case. Labour market institutions are no more “rigid” than among current EMU Members whilst wage bargaining institutions are actually better equipped for microeconomic wage flexibility than in the EU-15. NMS also achieved substantial reallocation of jobs and workers in the transition to markets, display relatively large job turnover rates and are reducing their regional mismatch. The view that NMS have rigid labour markets is fuelled by the low job content of growth in the region. But there is evidence that the latter is related to productivity enhancing job destruction in the aftermath of prolonged labour hoarding. Reduced-form employment equations estimated in this paper also suggest that tight fiscal policies, rather than being harmful to job creation, may actually improve the employment performance of the region. Our interpretation of this result is that loose fiscal policies weaken the confidence of investors and crowd-out private employment growth through generous pay rises to civil servants.