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We reconsider the issue of price discovery in spot and futures markets. We use a threshold error correction model to allow for arbitrage operations to have an impact on the return dynamics. We estimate the model using quote midpoints, and we modify the model to account for time-varying transaction costs. We find that the futures market leads in the process of price discovery. The lead of the futures market is more pronounced in the presence of arbitrage signals. Thus, when the deviation between the spot and the futures market is large, the spot market tends to adjust to the futures market.
The budget constraint requires that, eventually, consumption must adjust fully to any permanent shock to income. Intuition suggests that, knowing this, optimizing agents will fully adjust their spending immediately upon experiencing a permanent shock. However, this paper shows that if consumers are impatient and are subject to transitory as well as permanent shocks, the optimal marginal propensity to consume out of permanent shocks (the MPCP) is strictly less than 1, because buffer stock savers have a target wealth-to-permanent-income ratio; a positive shock to permanent income moves the ratio below its target, temporarily boosting saving. Keywords: Risk, Uncertainty, Consumption, Precautionary Saving, Buffer Stock Saving, Permanent Income Hypothesis.
We use a novel disaggregate sectoral euro area dataset with a regional breakdown that allows explicit estimation of the sectoral component of price changes (rather than interpreting the idiosyncratic component as sectoral as done in other papers). Employing a new method to extract factors from over-lapping data blocks, we find for our euro area data set that the sectoral component explains much less of the variation in sectoral regional inflation rates and exhibits much less volatility than previous findings for the US indicate. Country- and region-specific factors play an important role in addition to the sector-specific factors. We conclude that sectoral price changes have a “geographical” dimension, as yet unexplored in the literature, that might lead to new insights regarding the properties of sectoral price changes.
This paper reviews the rationale for quantitative easing when central bank policy rates reach near zero levels in light of recent announcements regarding direct asset purchases by the Bank of England, the Bank of Japan, the U.S. Federal Reserve and the European Central Bank. Empirical evidence from the previous period of quantitative easing in Japan between 2001 and 2006 is presented. During this earlier period the Bank of Japan was able to expand the monetary base very quickly and significantly. Quantitative easing translated into a greater and more lasting expansion of M1 relative to nominal GDP. Deflation subsided by 2005. As soon as inflation appeared to stabilize near a rate of zero, the Bank of Japan rapidly reduced the monetary base as a share of nominal income as it had announced in 2001. The Bank was able to exit from extensive quantitative easing within less than a year. Some implications for the current situation in Europe and the United States are discussed.
The recent financial crisis has led to a major debate about fair-value accounting. Many critics have argued that fair-value accounting, often also called mark-to-market accounting, has significantly contributed to the financial crisis or, at least, exacerbated its severity. In this paper, we assess these arguments and examine the role of fair-value accounting in the financial crisis using descriptive data and empirical evidence. Based on our analysis, it is unlikely that fair-value accounting added to the severity of the current financial crisis in a major way. While there may have been downward spirals or asset-fire sales in certain markets, we find little evidence that these effects are the result of fair-value accounting. We also find little support for claims that fair-value accounting leads to excessive write-downs of banks’ assets. If anything, empirical evidence to date points in the opposite direction, that is, towards overvaluation of bank assets.
The global financial crisis has lead to a renewed interest in discretionary fiscal stimulus. Advocates of discretionary measures emphasize that government spending can stimulate additional private spending — the so-called Keynesian multiplier effect. Thus, we investigate whether the discretionary spending announced by Euro area governments for 2009 and 2010 is likely to boost euro area GDP by more than one for one. Because of modeling uncertainty, it is essential that such policy evaluations be robust to alternative modeling assumptions and different parameterizations. Therefore, we use five different empirical macroeconomic models with Keynesian features such as price and wage rigidities to evaluate the impact of fiscal stimulus. Four of them suggest that the planned increase in government spending will reduce private spending for consumption and investment purposes significantly. If announced government expenditures are implemented with delay the initial effect on euro area GDP, when stimulus is most needed, may even be negative. Traditional Keynesian multiplier effects only arise in a model that ignores the forward-looking behavioral response of consumers and firms. Using a multi-country model, we find that spillovers between euro area countries are negligible or even negative, because direct demand effects are offset by the indirect effect of euro appreciation.
Recent evaluations of the fiscal stimulus packages recently enacted in the United States and Europe such as Cogan, Cwik, Taylor and Wieland (2009) and Cwik and Wieland (2009) suggest that the GDP effects will be modest due to crowding-out of private consumption and investment. Corsetti, Meier and Mueller (2009a,b) argue that spending shocks are typically followed by consolidations with substantive spending cuts, which enhance the short-run stimulus effect. This note investigates the implications of this argument for the estimated impact of recent stimulus packages and the case for discretionary fiscal policy.
In this paper we investigate the comparative properties of empirically-estimated monetary models of the U.S. economy. We make use of a new data base of models designed for such investigations. We focus on three representative models: the Christiano, Eichenbaum, Evans (2005) model, the Smets and Wouters (2007) model, and the Taylor (1993a) model. Although the three models differ in terms of structure, estimation method, sample period, and data vintage, we find surprisingly similar economic impacts of unanticipated changes in the federal funds rate. However, the optimal monetary policy responses to other sources of economic fluctuations are widely different in the different models. We show that simple optimal policy rules that respond to the growth rate of output and smooth the interest rate are not robust. In contrast, policy rules with no interest rate smoothing and no response to the growth rate, as distinct from the level, of output are more robust. Robustness can be improved further by optimizing rules with respect to the average loss across the three models.
Renewed interest in fiscal policy has increased the use of quantitative models to evaluate policy. Because of modeling uncertainty, it is essential that policy evaluations be robust to alternative assumptions. We find that models currently being used in practice to evaluate fiscal policy stimulus proposals are not robust. Government spending multipliers in an alternative empirically-estimated and widely-cited new Keynesian model are much smaller than in these old Keynesian models; the estimated stimulus is extremely small with GDP and employment effects only one-sixth as large.
Venture capital exit rights
(2009)
Theorists argue that exit rights can mitigate hold-up problems in venture capital. Using a hand-collected data-set of venture capital contracts from Germany we show that exit rights are included more frequently in venture capital contracts when a hold-up problem associated with the venture capitalist's exit decision is likely. Examples include drag-along and tag-along rights. Additionally, we find that almost all exit rights are allocated to the venture capitalist rather than to the entrepreneur. In addition, we show that besides the basic hold-up mechanism there are other mechanisms such as ex-ante bargaining power and the degree of pledgeable income that drive the allocation of exit rights. JEL Classification: G24, G34, D80
Governance und Vertragsstrukturen in der deutschen VC Industrie: eine empirische Einschätzung
(2009)
Diese Arbeit analysiert die wesentlichen Elemente der Vertragsstrukturen in der Venture Capital-Industrie. Aufbauend auf einem sehr umfangreichen und detaillierten Datensatz, der die Verträge zwischen Venture Capital-Investoren und deren Portfoliounternehmen abbildet, werden die Kontroll-, Entscheidungs- und Vetorechte einer detaillierten Analyse unterzogen. Dabei zeigt sich eine klare Tendenz in der Entwicklung der Vertragsstrukturen in Deutschland hin zu angelsächsisch strukturierten Verträgen. Dies beinhaltet unter anderem eine verstärkte Verwendung von Kontroll- und Entscheidungsrechten aber auch ein breiteres Spektrum dieser Rechte. Außerdem finden wir eine klare Interaktionen zwischen Kontrollrechten, Cash-Flow Rechten und Liquidationsrechten. Insbesondere ist zu betonen, dass Cash-Flow und Kontrollrechte einerseits und Stimmrechte und Aufsichtsratsanteile andererseits separat alloziiert werden und viele Kontrollrechte als Komplemente und nicht als Substitute zueinander aufgefasst werden müssen. JEL Classification: G24, G32, D86, D80, G34
Suppliers play a major role in innovation processes. We analyze ownership allocations and the choice of R&D technology in vertical R&D cooperations. Given incomplete contracts on the R&D outcome, there is a tradeoff between R&D specifically designed towards a manufacturer (increasing investment productivity) and a general technology (hold-up reduction). We find that the market solution yields the specific technology in too few cases. More intense product market competition shifts optimal ownership towards the supplier. The use of exit clauses increases the gains from the collaboration. JEL Classification: L22, L24, O31, O32
Content A. EXECUTIVE SUMMARY, INCLUDING MAJOR RECOMMENDATIONS B. COMPLETE REPORT 1. INTRODUCTION 2. RISK MAP 2.1 Why a Risk Map is needed, and for what purpose 2.1.1 Creating a unified data base 2.1.2 Assessing systemic risk 2.1.3 Allowing for coordinated policy action 2.2 Recommendations 3. GLOBAL REGISTER FOR LOANS (CREDIT REGISTER) AND BONDS (SECURITIES REGISTER) 3.1 Objectives of a credit register 3.2 Credit registers in Europe (and beyond) 3.3 Suggestions for a supra-national Credit Register 3.4 Integrating a supra-national Securities Register 3.5 Recommendations 4. HEDGE FUNDS: REGULATION AND SUPERVISION 4.1 What are hedge funds (activities, location, size, regulation)? 4.2 What are the risks posed by hedge funds (systematic risks, interaction with prime brokers)? 4.3 Routes to better regulation (direct, indirect) 4.4 Recommendations 5. RATING AGENCIES: REGULATION AND SUPERVISION 5.1 The role of ratings in bond and structured finance markets, past and present 5.2 Elements of rating integrity (independence, compensation and incentives, transparency) 5.3 Recommendations (registration, transparency, annual report on rating performance) 6. PROCYCLICALITY: PROBLEMS AND POTENTIAL SOLUTIONS 6.1 What is meant by “procyclicality” and why is it a problem? 6.2 The roots of procyclicality and the lessons it suggests for policymakers 6.2.1 Underpinnings of the phenomenon 6.2.2 Lessons to be learned 6.3 Characteristics of a macrofinancial stability framework 6.4 Recommendations 7. THE ROLE OF INTERNATIONAL INSTITUTIONS AND FORA, IN PARTICULAR THE IMF, BIS AND FSF 7.1 Legitimacy 7.2 Re-focusing the work 7.3 Recommendations
Content New Financial Architecture (Short Version) 1. Purpose of the paper – causes of the crisis 2. Recommendations 2.1. Incentives 2.2. Transparency 2.3. Regulation and Supervision 2.4. International Institutions 3. Concluding remarks Appendix (Full text) A 1. Causes of the crisis A 2. Improving the Framework A 2.1. Incentives A 2.2. Transparency A 2.3. Regulation and Supervision A 2.4. International Institutions A 3. Concluding remarks
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
We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are assumed to follow multivariate dynamics and are modelled using a vector autoregressive model. Applying the framework to four stocks traded at the Australian Stock Exchange (ASX) in 2002, we show that the suggested model captures the spatial and temporal dependencies of the limit order book. Relating the shape of the curves to variables reflecting the current state of the market, we show that the recent liquidity demand has the strongest impact. In an extensive forecasting analysis we show that the model is successful in forecasting the liquidity supply over various time horizons during a trading day. Moreover, it is shown that the model’s forecasting power can be used to improve optimal order execution strategies.
Analyzing interest rate risk: stochastic volatility in the term structure of government bond yields
(2009)
We propose a Nelson-Siegel type interest rate term structure model where the underlying yield factors follow autoregressive processes with stochastic volatility. The factor volatilities parsimoniously capture risk inherent to the term structure and are associated with the time-varying uncertainty of the yield curve’s level, slope and curvature. Estimating the model based on U.S. government bond yields applying Markov chain Monte Carlo techniques we find that the factor volatilities follow highly persistent processes. We show that slope and curvature risk have explanatory power for bond excess returns and illustrate that the yield and volatility factors are closely related to industrial capacity utilization, inflation, monetary policy and employment growth. JEL Classification: C5, E4, G1
Despite their importance in modern electronic trading, virtually no systematic empirical evidence on the market impact of incoming orders is existing. We quantify the short-run and long-run price effect of posting a limit order by proposing a high-frequency cointegrated VAR model for ask and bid quotes and several levels of order book depth. Price impacts are estimated by means of appropriate impulse response functions. Analyzing order book data of 30 stocks traded at Euronext Amsterdam, we show that limit orders have significant market impacts and cause a dynamic (and typically asymmetric) rebalancing of the book. The strength and direction of quote and spread responses depend on the incoming orders’ aggressiveness, their size and the state of the book. We show that the effects are qualitatively quite stable across the market. Cross-sectional variations in the magnitudes of price impacts are well explained by the underlying trading frequency and relative tick size.