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We model the motives for residents of a country to hold foreign assets, including the precautionary motive that has been omitted from much previous literature as intractable. Our model captures many of the principal insights from the existing specialized literature on the precautionary motive, deriving a convenient formula for the economy’s target value of assets. The target is the level of assets that balances impatience, prudence, risk, intertemporal substitution, and the rate of return. We use the model to shed light on two topical questions: The “upstream” flows of capital from developing countries to advanced countries, and the long-run impact of resorbing global financial imbalances
We present a tractable model of the effects of nonfinancial risk on intertemporal choice. Our purpose is to provide a simple framework that can be adopted in fields like representative-agent macroeconomics, corporate finance, or political economy, where most modelers have chosen not to incorporate serious nonfinancial risk because available methods were too complex to yield transparent insights. Our model produces an intuitive analytical formula for target assets, and we show how to analyze transition dynamics using a familiar Ramsey-style phase diagram. Despite its starkness, our model captures most of the key implications of nonfinancial risk for intertemporal choice.
Instabile Finanzmärkte
(2009)
Die Vorstellung selbst-stabilisierender, zum Gleichgewicht tendierender Finanzmärkte, lange Zeit als Selbstverständlichkeit angesehen, ist durch die aktuelle Banken- und Kreditkrise in Frage gestellt. Trotz ausgefeilten Risikomanagements der Banken und einer an Basel II orientierten Aufsicht ist es in den Jahren 2007-2009 zu einem Zusammenbruch des Interbankenmarktes und weiter Teile der Anleihemärkte gekommen. Die hierdurch erzwungenen massiven Staatsinterventionen zur Bankenrettung sind ohne Beispiel in der modernen Wirtschaftsgeschichte. In diesem Essay suchen wir nach Ansatzpunkten einer Erklärung für die Instabilität der Finanzmärkte. Als zentrale Krisenursache sehen wir Schwächen der Informationsarchitektur, deren Aufgabe darin besteht, glaubwürdige Information für Investoren bereitzustellen. Drei Determinanten der Instabilität werden herausgestellt, erstens die Nutzung von Schuldtiteln verbunden mit hohen Verschuldungsgraden, zweitens die Handelbarkeit von Titeln verbunden mit erhöhter Risikoübernahme, sowie drittens die zunehmende Komplexität von Finanzprodukten und Finanznetzwerken verbunden mit einer Homogenisierung der Aktiva- und Risikostrukturen von Finanzinstituten. Alle drei Faktoren verstärken die Anfälligkeit des Finanzsystems und zugleich die Bedeutung der Informationsarchitektur. Hieraus lassen sich Anforderungen an eine sinnvolle Reform der Regulierung ableiten. Neben den Anreizproblemen, die Gegenstand einer weiteren Arbeit sind (Franke/Krahnen 2009), diskutieren wir hier vier Kernthemen: glaubwürdige Informationen, makroprudentielle Aufsicht, robuste Eigenkapitalstandards und eine notwendige Risikobegrenzung auf Derivatemärkten
American households have received a triple dose of bad news since the beginning of the current recession: The greatest collapse in asset values since the Great Depression, a sharp tightening in credit availability, and a large increase in unemployment risk. We present measures of the size of these shocks and discuss what a benchmark theory says about their immediate and ultimate consequences. We then provide a forecast based on a simple empirical model that captures the effects of wealth shocks and unemployment fears. Our short-term forecast calls for somewhat weaker spending, and somewhat higher saving rates, than the Consensus survey of macroeconomic forecasters. Over the longer term, our best guess is that the personal saving rate will eventually approach the levels that preceded period of financial liberalization that began in the late 1970s. Classification: C61, D11, E24
This paper analyzes the risk properties of typical asset-backed securities (ABS), like CDOs or MBS, relying on a model with both macroeconomic and idiosyncratic components. The examined properties include expected loss, loss given default, and macro factor dependencies. Using a two-dimensional loss decomposition as a new metric, the risk properties of individual ABS tranches can directly be compared to those of corporate bonds, within and across rating classes. By applying Monte Carlo Simulation, we find that the risk properties of ABS differ significantly and systematically from those of straight bonds with the same rating. In particular, loss given default, the sensitivities to macroeconomic risk, and model risk differ greatly between instruments. Our findings have implications for understanding the credit crisis and for policy making. On an economic level, our analysis suggests a new explanation for the observed rating inflation in structured finance markets during the pre-crisis period 2004-2007. On a policy level, our findings call for a termination of the 'one-size-fits-all' approach to the rating methodology for fixed income instruments, requiring an own rating methodology for structured finance instruments. JEL Classification: G21, G28 Keywords: credit risk, risk transfer, systematic risk
This dissertation consists of three chapters. The first two chapters investigate the real effects of inflation and the third chapter the role of child care for fertility and female female labor supply. Chapter 1 introduces a generalized panel threshold model to analyze the relation between inflation and economic growth for a sample of developing countries. It is demonstrated that allowing for regime intercepts can be crucial for obtaining unbiased estimates of both, inflation thresholds and its marginal effects on growth in the various regimes. The empirical results confirm that the omitted variable bias of standard panel threshold models can be statistically and economically significant. Chapter 2, which is joined work with Dieter Nautz, investigates the impact of inflation on relative price variability (RPV) as a further important channel of the real effects of inflation. With a view to the recent debate on the Fed's implicit lower and upper bounds of its inflation objective, the econometric model introduced in Chapter 1 is used to explore the inflation-RPV linkage in U.S. cities. Chapter 3 investigates the relationship between fertility, female labor supply and child care in the context of a life cycle model for Germany. A particular emphasis is placed on the differences between West and East Germany. Counterfactual policy experiments mimicking recent policy reforms on maternal leave and the provision of subsidized child care are conducted with a structurally estimated version of the model.
Das House of Finance hat im Sommer 2008 sein Gebäude bezogen. Unter seinem Dach führt das House of Finance drei Abteilungen aus den Fachbereichen Rechtswissenschaft und Wirtschaftswissenschaften der Goethe-Universität sowie sechs rechtlich selbstständige Institute – darunter auch das E-Finance Lab - zusammen. Neben den traditionellen Aufgaben in der Forschung und Lehre verfolgt das House of Finance das Vorhaben, die Ergebnisse der Forschung für die Praxis und auch für den Finanzplatz Deutschland nutzbar zu machen. Als ein Element dieses Wissenstransfers veröffentlicht das House of Finance die „Newsletter“. Der „Newsletter“ gibt Auskunft über - drei aktuelle Forschungsergebnisse, - die Entwicklungen in der Executive Education, - die neuesten Veröffentlichungen der im House of Finance ansässigen Wissenschaftler, - den Veranstaltungskalender. Der Newsletter umfasst jeweils 16 Seiten und erscheint vierteljährlich in englischer Sprache.
This paper analyzes the risk properties of typical asset-backed securities (ABS), like CDOs or MBS, relying on a model with both macroeconomic and idiosyncratic components. The examined properties include expected loss, loss given default, and macro factor dependencies. Using a two-dimensional loss decomposition as a new metric, the risk properties of individual ABS tranches can directly be compared to those of corporate bonds, within and across rating classes. By applying Monte Carlo Simulation, we find that the risk properties of ABS differ significantly and systematically from those of straight bonds with the same rating. In particular, loss given default, the sensitivities to macroeconomic risk, and model risk differ greatly between instruments. Our findings have implications for understanding the credit crisis and for policy making. On an economic level, our analysis suggests a new explanation for the observed rating inflation in structured finance markets during the pre-crisis period 2004-2007. On a policy level, our findings call for a termination of the 'one-size-fits-all' approach to the rating methodology for fixed income instruments, requiring an own rating methodology for structured finance instruments. JEL Classification: G21, G28
Algorithmic trading engines versus human traders – do they behave different in securities markets?
(2009)
After exchanges and alternative trading venues have introduced electronic execution mechanisms worldwide, the focus of the securities trading industry shifted to the use of fully electronic trading engines by banks, brokers and their institutional customers. These Algorithmic Trading engines enable order submissions without human intervention based on quantitative models applying historical and real-time market data. Although there is a widespread discussion on the pros and cons of Algorithmic Trading and on its impact on market volatility and market quality, little is known on how algorithms actually place their orders in the market and whether and in which respect this differs form other order submissions. Based on a dataset that – for the first time – includes a specific flag to enable the identification of orders submitted by Algorithmic Trading engines, the paper investigates the extent of Algorithmic Trading activity and specifically their order placement strategies in comparison to human traders in the Xetra trading system. It is shown that Algorithmic Trading has become a relevant part of overall market activity and that Algorithmic Trading engines fundamentally differ from human traders in their order submission, modification and deletion behavior as they exploit real-time market data and latest market movements.
The recent financial crisis has led to a vigorous debate about the pros and cons of fair-value accounting (FVA). This debate presents a major challenge for FVA going forward and standard setters’ push to extend FVA into other areas. In this article, we highlight four important issues as an attempt to make sense of the debate. First, much of the controversy results from confusion about what is new and different about FVA. Second, while there are legitimate concerns about marking to market (or pure FVA) in times of financial crisis, it is less clear that these problems apply to FVA as stipulated by the accounting standards, be it IFRS or U.S. GAAP. Third, historical cost accounting (HCA) is unlikely to be the remedy. There are a number of concerns about HCA as well and these problems could be larger than those with FVA. Fourth, although it is difficult to fault the FVA standards per se, implementation issues are a potential concern, especially with respect to litigation. Finally, we identify several avenues for future research. JEL Classification: G14, G15, G30, K22, M41, M42