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What do academics have to offer market risk management practitioners in financial institutions? Current industry practice largely follows one of two extremely restrictive approaches: historical simulation or RiskMetrics. In contrast, we favor flexible methods based on recent developments in financial econometrics, which are likely to produce more accurate assessments of market risk. Clearly, the demands of real-world risk management in financial institutions - in particular, real-time risk tracking in very high-dimensional situations - impose strict limits on model complexity. Hence we stress parsimonious models that are easily estimated, and we discuss a variety of practical approaches for high-dimensional covariance matrix modeling, along with what we see as some of the pitfalls and problems in current practice. In so doing we hope to encourage further dialog between the academic and practitioner communities, hopefully stimulating the development of improved market risk management technologies that draw on the best of both worlds.
From a macroeconomic perspective, the short-term interest rate is a policy instrument under the direct control of the central bank. From a finance perspective, long rates are risk-adjusted averages of expected future short rates. Thus, as illustrated by much recent research, a joint macro-finance modeling strategy will provide the most comprehensive understanding of the term structure of interest rates. We discuss various questions that arise in this research, and we also present a new examination of the relationship between two prominent dynamic, latent factor models in this literature: the Nelson-Siegel and affine no-arbitrage term structure models. JEL Klassifikation: G1, E4, E5.
We selectively survey, unify and extend the literature on realized volatility of financial asset returns. Rather than focusing exclusively on characterizing the properties of realized volatility, we progress by examining economically interesting functions of realized volatility, namely realized betas for equity portfolios, relating them both to their underlying realized variance and covariance parts and to underlying macroeconomic fundamentals.
This paper introduces a method for solving numerical dynamic stochastic optimization problems that avoids rootfinding operations. The idea is applicable to many microeconomic and macroeconomic problems, including life cycle, buffer-stock, and stochastic growth problems. Software is provided. Klassifikation: C6, D9, E2 . July 28, 2005.
Under a conventional policy rule, a central bank adjusts its policy rate linearly according to the gap between inflation and its target, and the gap between output and its potential. Under "the opportunistic approach to disinflation" a central bank controls inflation aggressively when inflation is far from its target, but concentrates more on output stabilization when inflation is close to its target, allowing supply shocks and unforeseen fluctuations in aggregate demand to move inflation within a certain band. We use stochastic simulations of a small-scale rational expectations model to contrast the behavior of output and inflation under opportunistic and linear rules. Klassifikation: E31, E52, E58, E61. July, 2005.
This paper starts out by pointing out the challenges and weaknesses which the German banking systems faces according to the prevailing views among national and international observers. These challenges include a generalproblem of profitability and, possibly as its main reason, the strong role of public banks. These concerns raise the questions whether the facts support this assessment of a general profitability problem and whether there are reasons to expect a fundamental or structural transformation of the German banking system. The paper contains four sections. The first one presents the evidence concerning the profitability problem in a comparative, international perspective. The second section presents information about the so-called three-pillar system of German banking. What might be surprising in this context is that the group of pub lic banks is not only the largest segment of the German banking system, but that the primary savings banks also are its financially most successful part. The German banking system is highly fragmented. This fact suggests to discuss past, present and possible future consolidations in the banking system in the third section. The authors provide evidence to the effect that within- group consolidation has been going on at a rapid pace in the public and the cooperative banking groups in recent years and that this development has not yet come to an end, while within-group consolidation among the large private banks, consolidation across group boundaries at a national level and cross-border or international consolidation has so far only happened at a limited scale, and do not appear to gain momentum in the near future. In the last section, the authors develop their explanation for the fact that large-scale and cross border consolidation has so far not materialized to any great extent. Drawing on the concept of complementarity, they argue that it would be difficult to expect these kinds of mergers and acquisitions happening within a financial system which is itself surprisingly stable, or, as one cal also call it, resistant to change.
The German corporate governance system has long been cited as the standard example of an insider-controlled and stakeholder-oriented system. We argue that despite important reforms and substantial changes of individual elements of the German corporate governance system the main characteristics of the traditional German system as a whole are still in place. However, in our opinion the changing role of the big universal banks in the governance undermines the stability of the corporate governance system in Germany. Therefore a breakdown of the traditional system leading to a control vacuum or a fundamental change to a capital market-based system could be in the offing.
We provide insights into determinants of the rating level of 371 issuers which defaulted in the years 1999 to 2003, and into the leader-follower relationship between Moody’s and S&P. The evidence for the rating level suggests that Moody’s assigns lower ratings than S&P for all observed periods before the default event. Furthermore, we observe two-way Granger causal-ity, which signifies information flow between the two rating agencies. Since lagged rating changes influence the magnitude of the agencies’ own rating changes it would appear that the two rating agencies apply a policy of taking a severe downgrade through several mild down-grades. Further, our analysis of rating changes shows that issuers with headquarters in the US are less sharply downgraded than non-US issuers. For rating changes by Moody’s we also find that larger issuers seem to be downgraded less severely than smaller issuers.
This paper makes an attempt to present the economics of credit securitisation in a non-technical way, starting from the description and the analysis of a typical securitisation transaction. The paper sketches a theoretical explanation for why tranching, or nonproportional risk sharing, which is at the heart of securitisation transactions, may allow commercial banks to maximize their shareholder value. However, the analysis makes also clear that the conditions under which credit securitisation enhances welfare, are fairly restrictive, and require not only an active role of the banking supervisory authorities, but also a price tag on the implicit insurance currently provided by the lender of last resort.
We derive the effects of credit risk transfer (CRT) markets on real sector productivity and on the volume of financial intermediation in a model where banks choose their optimal degree of CRT and monitoring. We find that CRT increases productivity in the up-market real sector but decreases it in the low-end segment. If optimal, CRT unambiguously fosters financial deepening, i.e., it reduces credit-rationing in the economy. These effects rely upon the ability of banks to commit to the optimal CRT at the funding stage. The optimal degree of CRT depends on the combination of moral hazard, general riskiness, and the cost of monitoring in non-monotonic ways.