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This chapter discusses whether and how 'new quantitative trade models' (NQTMs) can be fruitfully applied to quantify the welfare effects of trade liberalization, thus shedding light on the trade-related effects of further European integration. On the one hand, it argues that NQTMs have indeed the potential of being used to supplement traditional 'computable general equilibrium' (CGE) analysis thanks to their tight connection between theory and data, appealing micro-theoretical foundations, and enhanced attention to the estimation of structural parameters. On the other hand, further work is still needed in order to fully exploit such potential.
Especially in developing countries credit constraints are often perceived as one of the most important market frictions constraining firm innovation and growth. Huge amounts of public money are being devoted to the removal of such constraints but their effectiveness is still subject to an intense policy debate. This paper contributes to this debate by analysing the effects of the Brazilian Development Bank (BNDES) loans. It finds that, before receiving BNDES support, granted firms are indeed more credit constrained than comparable non-granted firms. It also finds that BNDES support allows granted firms to achieve the same level of performance as similar non-granted firms that are not credit constrained. However, it does not allow granted firms to outperform similar non-granted ones.
We develop a model of an order-driven exchange competing for order flow with off-exchange trading mechanisms. Liquidity suppliers face a trade-off between benefits and costs of order exposure. If they display trading intentions, they attract additional trade demand. We show, in equilibrium, hiding trade intentions can induce mis-coordination between liquidity supply and demand, generate excess price fluctuations and harm price efficiency. Econometric high-frequency analysis based on unique data on hidden orders from NASDAQ reveals strong empirical support for these predictions: We find abnormal reactions in prices and order flow after periods of high excess-supply of hidden liquidity.
We propose a framework for estimating network-driven time-varying systemic risk contributions that is applicable to a high-dimensional financial system. Tail risk dependencies and contributions are estimated based on a penalized two-stage fixed-effects quantile approach, which explicitly links bank interconnectedness to systemic risk contributions. The framework is applied to a system of 51 large European banks and 17 sovereigns through the period 2006 to 2013, utilizing both equity and CDS prices. We provide new evidence on how banking sector fragmentation and sovereign-bank linkages evolved over the European sovereign debt crisis and how it is reflected in network statistics and systemic risk measures. Illustrating the usefulness of the framework as a monitoring tool, we provide indication for the fragmentation of the European financial system having peaked and that recovery has started.
Futures markets are a potentially valuable source of information about market expectations. Exploiting this information has proved difficult in practice, because the presence of a time-varying risk premium often renders the futures price a poor measure of the market expectation of the price of the underlying asset. Even though the expectation in principle may be recovered by adjusting the futures price by the estimated risk premium, a common problem in applied work is that there are as many measures of market expectations as there are estimates of the risk premium. We propose a general solution to this problem that allows us to uniquely pin down the best possible estimate of the market expectation for any set of risk premium estimates. We illustrate this approach by solving the long-standing problem of how to recover the market expectation of the price of crude oil. We provide a new measure of oil price expectations that is considerably more accurate than the alternatives and more economically plausible. We discuss implications of our analysis for the estimation of economic models of energy-intensive durables, for the debate on speculation in oil markets, and for oil price forecasting.
This paper shows that a capital budgeting process in which the division manager is required to engage in personally costly influence activities prior to a project approval has beneficial incentive effects: It provides the manager with incentives to acquire costly information about project prospects and helps to elicit the revelation of the acquired information. As a consequence, imposing influence costs on the manager can lead to improved capital allocations. The optimal level of influence costs, chosen by the firm, trades off ex ante incentives for information acquisition against efficient use of the acquired information ex post.
We analyze the effect of committee formation on how corporate boards perform two main functions: setting CEO pay and overseeing the financial reporting process. The use of performance-based pay schemes induces the CEO to manipulate earnings, which leads to an increased need for board oversight. If the whole board is responsible for both functions, it is inclined to provide the CEO with a compensation scheme that is relatively insensitive to performance in order to reduce the burden of subsequent monitoring. When the functions are separated through the formation of committees, the compensation committee is willing to choose a higher pay-performance sensitivity as the increased cost of oversight is borne by the audit committee. Our model generates predictions relating the board committee structure to the pay-performance sensitivity of CEO compensation, the quality of board oversight, and the level of earnings management.
Open-end real estate funds are of particular importance in the German bank-dominated financial system. However, recently the German open-end fund industry came under severe distress which triggered a broad discussion of required regulatory interventions. This paper gives a detailed description of the institutional structure of these funds and of the events that led to the crisis. Furthermore, it applies recent banking theory to openend real estate funds in order to understand why the open-end fund structure was so prevalent in Germany. Based on these theoretical insights we evaluate the various policy recommendations that have been raised.
Collateral, default risk, and relationship lending : an empirical study on financial contracting
(1999)
This paper provides further insights into the nature of relationship lending by analyzing the link between relationship lending, borrower quality and collateral as a key variable in loan contract design. We used a unique data set based on the examination of credit files of five leading German banks, thus relying on information actually used in the process of bank credit decision-making and contract design. In particular, bank internal borrower ratings serve to evaluate borrower quality, and the bank's own assessment of its housebank status serves to identify information-intensive relationships. Additionally, we used data on workout activities for borrowers facing financial distress. We found no significant correlation between ex ante borrower quality and the incidence or degree of collateralization. Our results indicate that the use of collateral in loan contract design is mainly driven by aspects of relationship lending and renegotiations. We found that relationship lenders or housebanks do require more collateral from their debtors, thereby increasing the borrower's lock-in and strengthening the banks' bargaining power in future renegotiation situations. This result is strongly supported by our analysis of the correlation between ex post risk, collateral and relationship lending since housebanks do more frequently engage in workout activities for distressed borrowers, and collateralization increases workout probability.
In this paper, we investigate how the introduction of complex, model-based capital regulation affected credit risk of financial institutions. Model-based regulation was meant to enhance the stability of the financial sector by making capital charges more sensitive to risk. Exploiting the staggered introduction of the model-based approach in Germany and the richness of our loan-level data set, we show that (1) internal risk estimates employed for regulatory purposes systematically underpredict actual default rates by 0.5 to 1 percentage points; (2) both default rates and loss rates are higher for loans that were originated under the model-based approach, while corresponding risk-weights are significantly lower; and (3) interest rates are higher for loans originated under the model-based approach, suggesting that banks were aware of the higher risk associated with these loans and priced them accordingly. Further, we document that large banks benefited from the reform as they experienced a reduction in capital charges and consequently expanded their lending at the expense of smaller banks that did not introduce the model-based approach. Counter to the stated objectives, the introduction of complex regulation adversely affected the credit risk of financial institutions. Overall, our results highlight the pitfalls of complex regulation and suggest that simpler rules may increase the efficacy of financial regulation.
The recent decline in euro area inflation has triggered new calls for additional monetary stimulus by the ECB in order to counter the threat of a self‐reinforcing deflation and recession spiral. This note reviews the available evidence on inflation expectations, output gaps and other factors driving current inflation through the lens of the Phillips curve. It also draws a comparison to the Japanese experience with deflation in the late 1990s and the evidence from Japan concerning the outputinflation nexus at low trend inflation. The note concludes from this evidence that the risk of a selfreinforcing deflation remains very small. Thus, the ECB best await the impact of the long‐term refinancing operations decided in June that have the potential to induce substantial monetary accommodation once implemented for the first time in September.
Die Anpassung der EU-Richtlinie über Märkte für Finanzinstrumente (MiFID II) und die Einführung einer begleitenden Verordnung (MiFIR) im Jahr 2014 werden erhebliche Auswirkungen auf die Finanzmärkte in Europa haben und zu einer grundlegenden Neuordnung der Finanzmarktstrukturen führen. Ausgehend von einer Diskussion der Zielerreichung der ursprünglichen Richtlinie (MiFID I) aus dem Jahr 2004 werden im vorliegenden Artikel die Zielsetzungen und Maßnahmen der Neuregelung beleuchtet. Wesentliche Elemente im Hinblick auf Marktstrukturen und den Wertpapierhandel sind die Einführung einer neuen Handelsplatzkategorie, des organisierten Handelssystems („Organised Trading Facility“; OTF), sowie die Ausweitung der bislang für Aktien geltenden Transparenzvorschriften auf weitere Finanzinstrumente. Zudem werden eine Handelsverpflichtung für Aktien und Derivate sowie eine Clearingpflicht für Derivate, die auf geregelten Märkten gehandelt werden, neu eingeführt. Schließlich werden der algorithmische Handel und der Hochfrequenzhandel auf europäischer Ebene reguliert, wobei die Regelungen weitgehend dem 2013 eingeführten deutschen Hochfrequenzhandelsgesetz angelehnt sind. Im Ausblick wird zunächst der weitere Prozess der Regulierung skizziert (insbesondere die sog. Level II-Maßnahmen). Abschließend werden mögliche Auswirkungen von MiFID II und MiFIR auf die Marktstruktur und den Wertpapierhandel aufgezeigt.
This essay reviews a cornerstone of the European Banking Union project, the resolution of systemically important banks. The focus is on the inherent conflict between a possible intervention by resolution authorities, conditional on a crisis situation, and effective prevention prior to a crisis. Moreover, the paper discusses the rules for bail-in debt and conversion rules for different layers of debt. Finally, some organizational requirements to achieve effective resolution results will be analyzed.
Rating agencies state that they take a rating action only when it is unlikely to be reversed shortly afterwards. Based on a formal representation of the rating process, I show that such a policy provides a good explanation for the puzzling empirical evidence: Rating changes occur relatively seldom, exhibit serial dependence, and lag changes in the issuers’ default risk. In terms of informational losses, avoiding rating reversals can be more harmful than monitoring credit quality only twice per year.
Evaluating the quality of credit portfolio risk models is an important question for both banks and regulators. Lopez and Saidenberg (2000) suggest cross-sectional resampling techniques in order to make efficient use of available data and to produce measures of forecast accuracy. We first show that their proposal disregards crosssectional dependence in simulated subportfolios, which renders standard statistical inference invalid. We proceed by suggesting another evaluation methodology which draws on the concept of likelihood ratio tests. Specifically, we compare the predictive quality of alternative models by comparing the probabilities that observed data have been generated by these models. The distribution of the test statistic can be derived through Monte Carlo simulation. To exploit differences in cross-sectional predictions of alternative models, the test can be based on a linear combination of subportfolio statistics. In the construction of the test, the weight of a subportfolio depends on the difference in the loss distributions which alternative models predict for this particular portfolio. This makes efficient use of the data, and reduces computational burden. Monte Carlo simulations suggest that the power of the tests is satisfactory.
JEL classification: G2; G28; C52
Evaluating the quality of credit portfolio risk models is an important issue for both banks and regulators. Lopez and Saidenberg (2000) suggest cross-sectional resampling techniques in order to make efficient use of available data. We show that their proposal disregards cross-sectional dependence in resampled portfolios, which renders standard statistical inference invalid. We proceed by suggesting the Berkowitz (1999) procedure, which relies on standard likelihood ratio tests performed on transformed default data. We simulate the power of this approach in various settings including one in which the test is extended to incorporate cross-sectional information. To compare the predictive ability of alternative models, we propose to use either Bonferroni bounds or the likelihood-ratio of the two models. Monte Carlo simulations show that a default history of ten years can be sufficient to resolve uncertainties currently present in credit risk modeling.
SAFE Newsletter : 2014, Q3
(2014)
This paper examines whether an exogenous anticipated monetary shock causes real economic effects, i.e. whether anticipated money is neutral. A major finding is that an anticipated monetary shock can in fact be massively non-neutral in the shortrun, if the economic environment is characterized by strategic complementarity. If the environment is characterized by strategic substitutability, anticipated monetary shocks are largely neutral.
Is wider access to stockholding opportunities related to reduced wealth inequality, given that it creates challenges for small and less sophisticated investors? Counterfactual analysis is used to study the influence of changes in the US stockholder pool and economic environment, on the distribution of stock and net household wealth during a period of dramatic increase in stock market participation. We uncover substantial shifts in stockholder pool composition, favoring smaller holdings during the 1990s upswing but larger holdings around the burst of the Internet bubble. We find no evidence that widening access to stocks was associated with reduced net wealth inequality.
We propose a novel approach on how to estimate systemic risk and identify its key determinants. For US financial companies with publicly traded equity options, we extract option-implied value-at-risks and measure the spillover effects between individual company value-at-risks and the option-implied value-at-risk of a financial index. First, we study the spillover effect of increasing company risks on the financial sector. Second, we analyze which companies are mostly affected if the tail risk of the financial sector increases. Key metrics such as size, leverage, market-to-book ratio and earnings have a significant influence on the systemic risk profiles of financial institutions.
Low interest rates are becoming a threat to the stability of the life insurance industry, especially in countries such as Germany, where products with relatively high guaranteed returns sold in the past still represent a prominent share of the total portfolio. This contribution aims to assess and quantify the effects of the current low interest rate phase on the balance sheet of a representative German life insurer, given the current asset allocation and the outstanding liabilities. To do so, we generate a stochastic term structure of interest rates as well as stock market returns to simulate investment returns of a stylized life insurance business portfolio in a multi-period setting. Based on empirically calibrated parameters, we can observe the evolution of the life insurers' balance sheet over time with a special focus on their solvency situation. To account for different scenarios and in order to check the robustness of our findings, we calibrate different capital market settings and different initial situations of capital endowment. Our results suggest that a prolonged period of low interest rates would markedly affect the solvency situation of life insurers, leading to relatively high cumulative probability of default for less capitalized companies.
This paper analyzes how on-the-job search (OJS) by an agent impacts the moral hazard problem in a repeated principal-agent relationship. OJS is found to constitute a source of agency costs because efficient search incentives require that the agent receives all gains from trade. Further, the optimal incentive contract with OJS matches the design of empirically observed compensation contracts more accurately than models that ignore OJS. In particular, the optimal contract entails excessive performance pay plus efficiency wages. Efficiency wages reduce the opportunity costs of work effort and hence serve as a complement to bonuses. Thus, the model offers a novel explanation for the use of efficiency wages. When allowing for renegotiation, the model generates wage and turnover dynamics that are consistent with empirical evidence. I argue that the model contributes to explaining the concomitant rise in the use of performance pay and in competition for high-skill workers during the last three decades.
We study consumption-portfolio and asset pricing frameworks with recursive preferences and unspanned risk. We show that in both cases, portfolio choice and asset pricing, the value function of the investor/ representative agent can be characterized by a specific semilinear partial differential equation. To date, the solution to this equation has mostly been approximated by Campbell-Shiller techniques, without addressing general issues of existence and uniqueness. We develop a novel approach that rigorously constructs the solution by a fixed point argument. We prove that under regularity conditions a solution exists and establish a fast and accurate numerical method to solve consumption-portfolio and asset pricing problems with recursive preferences and unspanned risk. Our setting is not restricted to affine asset price dynamics. Numerical examples illustrate our approach.
We build on previous work on operational performance evaluation of private equity portfolio companies as we are able to at least partially decrypt the black box consisting of restructuring tools these investors use and the corresponding impact on their portfolio companies. Beyond answering whether private equity improves operating efficiency we figure out which of the typical restructuring tools drive operating efficiency. Using a set of over 300 international leveraged buyout transactions in the last thirty years we find that while there is vast improvement in operational efficiency these gains vary considerably. Our top performing transactions are subject to strong equity incentives, frequent asset restructuring and tight control by the investor. Furthermore, investors experience has a positive and financial leverage a negative influence on operational performance.
Homestead exemptions to personal bankruptcy allow households to retain their home equity up to a limit determined at the state level. Households that may experience bankruptcy thus have an incentive to bias their portfolios towards home equity. Using US household data from the Survey of Income and Program Participation for the period 1996-2006, we find that especially households with low net worth maintain a larger share of their wealth as home equity if a larger homestead exemption applies. This home equity bias is also more pronounced if the household head is in poor health, increasing the chance of bankruptcy on account of unpaid medical bills. The bias is further stronger for households with mortgage finance, shorter house tenures, and younger household heads, which taken together reflect households that face more financial uncertainty.
Using fiscal reaction functions for 3a panel of actual euro-area countries the paper investigates whether euro membership has reduced the responsiveness of countries to increases in the level of inherited debt compared to the period prior to succession to the euro. While we find some evidence for such a loss in prudence, the results are not robust to changes in the specification, as for example an exclusion of Greece from the panel. This suggests that the current debt problems may result to a large extent from pre-existing debt levels prior to entry or from a larger need for fiscal prudence in a common currency, while an adverse change in the fiscal reaction functions for most countries does not apply.
Trust in policy makers fluctuates signi
cantly over the cycle and affects the transmission mechanism. Despite this it is absent from the literature. We build a monetary model embedding trust cycles; the latter emerge as an equilibrium phenomenon of a game-theoretic interaction between atomistic agents and the monetary authority. Trust affects agents' stochastic discount factors, namely the price of future risk, and through this it interacts with the monetary transmission mechanism. Using data from the Eurobarometer surveys, we analyze the link between trust and the transmission mechanism of macro and monetary shocks: Empirical results are in line with theoretical ones.
We develop a dynamic network model with heterogenous banks which undertake optimizing portfolio decisions subject to liquidity and capital constraints and trade in the interbank market whose equilibrium is governed by a tatonnement process. Due to the micro-funded structure of the decisional process as well as the iterative dynamic adjustment taking place in the market, the links in the network structures are endogenous and evolve dynamically. We use the model to assess the diffusion of systemic risk, the contribution of each bank to it as well as the evolution of the network in response to financial shocks and across different prudential policy regimes.
We develop a dynamic network model with heterogenous banks which undertake optimizing portfolio decisions subject to liquidity and capital constraints and trade in the interbank market whose equilibrium is governed by a tatonnement process. Due to the micro-funded structure of the decisional process as well as the iterative dynamic adjustment taking place in the market, the links in the network structures are endogenous and evolve dynamically. We use the model to assess the diffusion of systemic risk (measured as default probability), the contribution of each bank to it as well as the evolution of the network in response to financial shocks and across different prudential policy regimes.
This paper analyzes the equilibrium pricing implications of contagion risk in a two-tree Lucas economy with CRRA preferences. The dividends of both trees are subject to downward jumps. Some of these jumps are contagious and increase the risk of subsequent jumps in both trees for some time interval. We show that contagion risk leads to large price-dividend ratios for small assets, a joint movement of prices in the case of a regime change from the calm to the contagion state, significantly positive correlations between assets, and large positive betas for small assets. Whereas disparities between the assets with respect to their propensity to trigger contagion barely matter for pricing, the prices of robust assets that are hardly affected by contagion and excitable assets that are severely hit by contagion differ significantly. Both in absolute terms and relatively to the market, the price of a small safe haven increases if the economy reaches the contagion state. On the contrary, the price of a small, contagion-sensitive asset exhibits a pronounced downward jump.
This paper presents a theory that explains why it is beneficial for banks to engage in circular lending activities on the interbank market. Using a simple network structure, it shows that if there is a non-zero bailout probability, banks can significantly increase the expected repayment of uninsured creditors by entering into cyclical liabilities on the interbank market before investing in loan portfolios. Therefore, banks are better able to attract funds from uninsured creditors. Our results show that implicit government guarantees incentivize banks to have large interbank exposures, to be highly interconnected, and to invest in highly correlated, risky portfolios. This can serve as an explanation for the observed high interconnectedness between banks and their investment behavior in the run-up to the subprime mortgage crisis.
We analyse the coordination problem in multi-creditor relationships empirically, relying on a unique panel data set that contains detailed credit-file information on distressed lending relationships in Germany, including information on creditor pools, a legal institution aiming at coordinating lender interests in borrower distress. We report three major findings. First, the existence of creditor pools increases the probability of workout success. Second, the results are consistent with coordination costs being positively related to pool size. Third, major determinants of pool formation are found to be the number of banks, the distribution of lending shares, and the severity of the distress shock.
We document and study international differences in both ownership and holdings of stocks, private businesses, homes, and mortgages among households aged fifty or more in thirteen countries, using new and comparable survey data. We employ counterfactual techniques to decompose observed differences across the Atlantic, within the US, and within Europe into those arising from differences in population characteristics and differences in economic environments. We then correlate the latter differences to country-level indicators. Ownership across the range of the assets considered tends to be more widespread among US households. We document that shortly prior to the current crisis, US households tended to invest larger amounts in stocks and smaller ones in homes, and to have larger mortgages in older age, even controlling for characteristics. This is consistent with the high prevalence of negative equity associated with the current crisis. More generally, we find that differences in household characteristics often play a small role, while differences in economic environments tend to explain most of the observed differences in ownership rates and in amounts held. The latter differences are much more pronounced among European countries than among US regions, suggesting further potential for harmonization of policies and institutions.
Regulation of investor access to financial products is often based on product familiarity indicated by previous use. The underlying premise that lack of familiarity with a product class causes unwarranted participation is difficult to test. This paper uses household-level data from the ‘experiment’ of German reunification that (exogenously) offered to East Germans access to capitalist products (exogenously) unfamiliar to them. We compare the evolution of post-unification participation of former East and West Germans in financial products, controlling for relevant household characteristics. We vary familiarity differentials by considering (i) both unfamiliar ‘capitalist’ products (stocks, bonds, and consumer credit) and ones available in the East (savings accounts and life insurance); and (ii) cohorts with different exposure to capitalism. We find that East Germans participated immediately in unfamiliar risky securities, at rates comparable to West Germans of similar characteristics. They phased out disproportionate participation in previously familiar assets as familiarity with capitalist products grew. They were more likely to use consumer debt, partly to catch up with richer new peers. We find no signs of abrupt participation drops that could suggest mistakes or regret related to lack of familiarity.
In this paper we investigate the implications of providing loan officers with a compensation structure that rewards loan volume and penalizes poor performance versus a fixed wage unrelated to performance. We study detailed transaction information for more than 45,000 loans issued by 240 loan officers of a large commercial bank in Europe. We examine the three main activities that loan officers perform: monitoring, originating, and screening. We find that when the performance of their portfolio deteriorates, loan officers increase their effort to monitor existing borrowers, reduce loan origination, and approve a higher fraction of loan applications. These loans, however, are of above-average quality. Consistent with the theoretical literature on multitasking in incomplete contracts, we show that loan officers neglect activities that are not directly rewarded under the contract, but are in the interest of the bank. In addition, while the response by loan officers constitutes a rational response to a time allocation problem, their reaction to incentives appears myopic in other dimensions.
The paper analyzes the mutual influence of the capital structure and the investment decision of a bank, as well as the incentive effects of the bank executives compensation schemes on these decisions. In case the government implicitly or explicitly insures deposits and/or the banks debt, banks are incentivized to invest in risky assets and to have a high leverage. Capital regulation could potentially solve this excessive risk taking problem. However, this is only possible if the regulator can observe and properly measure the investment risks of the bank, which was called into question during the 2008-09 financial crisis. Hence, we propose a regulatory approach that is also able to implement the first best risk taking levels by the bank, but does not require the regulator to know the investment risk of the bank. The regulatory approach involves the implementation of capital requirements, which are made contingent on the management compensation.
We assess, through VAR evidence, the effects of monetary policy on banks’ risk exposure and find the presence of a risk-taking channel. A model combining fragile banks prone to risk mis-incentives and credit constrained firms, whose collateral fluctuations generate a balance sheet channel, is used to rationalize the evidence. A monetary expansion increases bank leverage. With two consequences: on the one side this exacerbates risk exposure; on the other, the risk spiral depresses output, therefore dampening the conventional amplification effect of the financial accelerator.
Euro area data show a positive connection between sovereign and bank risk, which increases with banks’ and sovereign long run fragility. We build a macro model with banks subject to moral hazard and liquidity risk (sudden deposit withdrawals): banks invest in risky government bonds as a form of capital buffer against liquidity risk. The model can replicate the positive connection between sovereign and bank risk observed in the data. Central bank liquidity policy, through full allotment policy, is successful in stabilizing the spiraling feedback loops between bank and sovereign risk.
Option-implied information and predictability of extreme returns : [Version 24 September 2012]
(2012)
We study whether option-implied conditional expectation of market loss due to tail events, or tail loss measure, contains information about future returns, especially the negative ones. Our tail loss measure predicts future market returns, magnitude, and probability of the market crashes, beyond and above other option-implied variables. Stock-specific tail loss measure predicts individual expected returns and magnitude of realized stock-specific crashes in the cross-section of stocks. An investor, especially the one who cares about the left tail of her wealth distribution (e.g., disappointment-averse), benefits from using the tail loss measure as an information variable to construct managed portfolios of a risk-free asset and market index. The tail loss measure is motivated by the results of the extreme value theory, and it is computed from observed prices of out-of-the-money put as the risk-neutral expected value of a loss beyond a given relative threshold.
We study the dispersion of debt maturities across time, which we call "granularity of corporate debt,'' using a model in which a firm's inability to roll over expiring debt causes inefficiencies, such as costly asset sales or underinvestment. Since multiple small asset sales are less costly than a single large one, firms diversify debt rollovers across maturity dates. We construct granularity measures using data on corporate bond issuers for the 1991-2012 period and establish a number of novel findings. First, there is substantial variation in granularity in that we observe both very concentrated and highly dispersed maturity structures. Second, observed variation in granularity supports the model's predictions, i.e. maturities are more dispersed for larger and more mature firms, for firms with better investment oppo
This paper explains why the collection of panel (reinterview) data on a comprehensive measure of household expenditures is of great value both for measuring budget shares (the core mission of a Consumer Expenditure survey) and for the most important research and public policy uses to which CE data can be applied, including construction of spending-based measures of poverty and inequality and estimating the effects of fiscal policy.
The Great Recession confirmed a bedrock principle of modern consumption theory: It is impossible to explain aggregate spending behavior without knowledge of the underlying microeconomic distribution of circumstances and choices across households. National accounting frameworks therefore need to be augmented by “bottom up” measures that both (a) capture the microeconomic heterogeneity (in expenditures, income, assets, debt, and beliefs) in the population and (b) sum up to statistics that have a recognizable relationship to the aggregate totals that are already reasonably well measured.
Multiple lenders and corporate distress: evidence on debt restructuring : [Version Juli 2002]
(2002)
In the recent theoretical literature on lending risk, the common pool problem in multi-bank relationships has been analyzed extensively. In this paper we address this topic empirically, relying on a unique panel data set that includes detailed credit-fie information on distressed lending relationships in Germany. In particular, it includes information on bank pools, a legal institution aimed at coordinating lender interests in borrower distress. We find that the existence of small bank pools increases the probability of workout success and that coordination costs are positively related to pool size. We identify major determinants of pool formation, in particular the distribution of lending shares among banks, the number of banks, and the severity of the distress shock to the borrower.
Wir halten das bisher in Deutschland und anderen Ländern praktizierte Krisenmanagement für ordnungspolitisch inakzeptabel. Die aktuelle Notlage 2007 und 2008, verbunden mit einem enormen Überraschungsmoment, ließ möglicherweise keine andere Wahl, als die betroffenen Banken unbürokratisch zu retten - aber nun ist es Zeit, grundlegende Lehren aus den Rettungsaktionen zu ziehen.
Dem Druck standhalten
(2013)
We develop a methodology to identify and rank “systemically important financial institutions” (SIFIs). Our approach is consistent with that followed by the Financial Stability Board (FSB) but, unlike the latter, it is free of judgment and it is based entirely on publicly available data, thus filling the gap between the official views of the regulator and those that market participants can form with their own information set. We apply the methodology to annual data on three samples of banks (global, EU and euro area) for the years 2007-2012. We examine the evolution of the SIFIs over time and document the shifs in the relative weights of the major geographic areas. We also discuss the implication of the 2013 update of the identification methodology proposed by the FSB.
We examine the effects of credit default swaps (CDS), a major type of over-the-counter derivative, on the corporate liquidity management of the reference firms. CDS help firms to access the credit market since the lenders can hedge their credit risk more easily using these contracts. However, CDS-protected creditors can be tougher in debt renegotiations and less willing to support distressed borrowers, causing some firms to become more cautious. Consequently, we find that firms hold significantly more cash after the inception of CDS trading on their debt. The increase in cash holdings by CDS firms is more pronounced for financially constrained firms and firms facing higher refinancing risk. Moreover, bank relationships and outstanding credit facilities intensify the CDS effect on cash holding. Finally, firms with greater financial expertise hold more cash when their debt is referenced by CDS. These findings suggest that CDS, which are primarily a risk management tool for lenders, induce firms to adopt more conservative liquidity policies.
We use a unique data set from the Trade Reporting and Compliance Engine (TRACE) to study liquidity effects in the US structured product market. Our main contribution is the analysis of the relation between the accuracy in measuring liquidity and the potential degree of disclosure. Having access to all relevant trading information, we provide evidence that transaction cost measures that use dealer specific information such as trader identity and trade direction can be efficiently proxied by measures that use less detailed information. This finding is important for all market participants in the context of OTC markets, as it fosters our understanding of the information contained in transaction data. Thus, our results provide guidance for improving transparency while maintaining trader confidentiality. In addition, we analyze liquidity in the structured product market in general and show that securities that are mainly institutionally traded, guaranteed by a federal authority, or have low credit risk, tend to be more liquid.
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflation, output growth and the federal funds rate. Model parameters are estimated and forecasts are derived successively from historical U.S. data vintages synchronized with the Fed’s Greenbook projections. Point forecasts of some models are of similar accuracy as the forecasts of nonstructural large dataset methods. Despite their common underlying New Keynesian modeling philosophy, forecasts of different DSGE models turn out to be quite distinct. Weighted forecasts are more precise than forecasts from individual models. The accuracy of a simple average of DSGE model forecasts is comparable to Greenbook projections for medium term horizons. Comparing density forecasts of DSGE models with the actual distribution of observations shows that the models overestimate uncertainty around point forecasts.