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This paper investigates what we can learn from the financial crisis about the link between accounting and financial stability. The picture that emerges ten years after the crisis is substantially different from the picture that dominated the accounting debate during and shortly after the crisis. Widespread claims about the role of fair-value (or mark-to-market) accounting in the crisis have been debunked. However, we identify several other core issues for the link between accounting and financial stability. Our analysis suggests that, going into the financial crisis, banks’ disclosures about relevant risk exposures were relatively sparse. Such disclosures came later after major concerns about banks’ exposures had arisen in markets. Similarly, banks delayed the recognition of loan losses. Banks’ incentives seem to drive this evidence, suggesting that reporting discretion and enforcement deserve careful consideration. In addition, bank regulation through its interlinkage with financial accounting may have dampened banks’ incentives for corrective actions. Our analysis illustrates that a number of serious challenges remain if accounting and financial reporting are to contribute to financial stability.
We analyze cyclical co-movement in credit, house prices, equity prices, and longterm interest rates across 17 advanced economies. Using a time-varying multi-level dynamic factor model and more than 130 years of data, we analyze the dynamics of co-movement at different levels of aggregation and compare recent developments to earlier episodes such as the early era of financial globalization from 1880 to 1913 and the Great Depression. We find that joint global dynamics across various financial quantities and prices as well as variable-specific global co-movements are important to explain fluctuations in the data. From a historical perspective, global co-movement in financial variables is not a new phenomenon, but its importance has increased for some variables since the 1980s. For equity prices, global cycles play currently a historically unprecedented role, explaining more than half of the fluctuations in the data. Global cycles in credit and housing have become much more pronounced and longer, but their importance in explaining dynamics has only increased for some economies including the US, the UK and Nordic European countries. We also include GDP in the analysis and find an increasing role for a global business cycle.
We propose a simple modification of the time series filter by Hamilton (2018) that yields reliable and economically meaningful real-time output gap estimates. The original filter relies on 8-quarter-ahead forecast errors of a simple autoregression of log real GDP. While this approach yields a cyclical component of GDP that is hardly revised with new incoming data due to the one-sided filtering approach, it does not cover typical business cycle frequencies evenly, but short business cycles are muted and medium length business cycles are amplified. Further, the estimated trend is as volatile as GDP itself and can thus hardly be interpreted as potential GDP. A simple modification that is based on the mean of 4- to 12-quarter-ahead forecast errors shares the favorable real-time properties of the Hamilton filter, but leads to a much better coverage of typical business cycle frequencies and a smooth estimated trend. Based on output growth and inflation forecasts and a comparison to revised output gap estimates from policy institutions, we find that real-time output gaps based on the modified Hamilton filter are economically much more meaningful measures of the business cycle than those based on other simple statistical trend-cycle decomposition techniques such as the HP or the Bandpass filter.
The financial crisis of 2007-08 has stressed the importance of a sound financial system. Unlike other studies weighing the pros and cons of market versus bank-based systems, this paper investigates whether the main elements of the German financial system can be regarded as complementary and consistent. This assessment refers to the idea that there is a potential for positive interaction between different elements in the system that is actually used to make it more valuable to economy and society and more robust to crises. It is shown that the old German bank-based system, where the risk of long-term lending by large private commercial banks was limited by the membership in supervisory boards and strong personal ties between all stakeholders, was a consistent system of well-adjusted complementary elements. After reunification, a hybrid system has emerged where, on the one hand, public savings banks and cooperative banks maintain their role as lenders, but on the other, large private banks have withdrawn from their former dominant role in financing and corporate governance. It is argued that this transition to stronger capital-market and, accordingly, shareholder value orientations has occurred at the expense of consistency.
The term structure of interest rates is crucial for the transmission of monetary policy to financial markets and the macroeconomy. Disentangling the impact of monetary policy on the components of interest rates, expected short rates and term premia, is essential to understanding this channel. To accomplish this, we provide a quantitative structural model with endogenous, time-varying term premia that are consistent with empirical findings. News about future policy, in contrast to unexpected policy shocks, has quantitatively significant effects on term premia along the entire term structure. This provides a plausible explanation for partly contradictory estimates in the empirical literature.
In the course of the crisis, the European System of Central Banks (ESCB) has acted several times to support the EU Member States and banking systems in financial distress by purchasing debt instruments: Covered Bonds Programmes (CBP), Securities Market Programmes (SMP), Long Term Refinancing Operations (LTRO), and Targeted Long Term Refinancing Operations (TLTRO), followed by the Outright Monetary Transactions (OMT) and then the Extended Asset Purchase Programmes (EAPP) – colloquially labelled as Quantitative Easing (QE).
Initially, the support measures of the ESCB might have to be judged as monetary policy but the selectivity of OMT and – even more – SMP in conjunction with the transfer of risks to the ESCB speak against it.
We analyze debt and debt management of Americans nearing retirement age. We show that older people have numerous financial obligations that can lead to financial distress. Using data from the 2015 National Financial Capability Study and an extensive literature review, we show that lack of financial literacy, lack of information, and behavioral biases help explain the prevalence of debt later in life. Our evidence indicates that debt at older ages can negatively influence retirement well-being.
We study the information flow from the ECB on policy dates since its inception, using tick data. We show that three factors capture about all of the variation in the yield curve but that these are different factors with different variance shares in the window that contains the policy decision announcement and the window that contains the press conference. We also show that the QE-related policy factor has been dominant in the recent period and that Forward Guidance and QE effects have been very persistent on the longer-end of the yield curve. We further show that broad and banking stock indices' responses to monetary policy surprises depended on the perceived nature of the surprises. We find no evidence of asymmetric responses of financial markets to positive and negative surprises, in contrast to the literature on asymmetric real effects of monetary policy. Lastly, we show how to implement our methodology for any policy-related news release, such as policymaker speeches. To carry out the analysis, we construct the Euro Area Monetary Policy Event- Study Database (EA-MPD). This database, which contains intraday asset price changes around the policy decision announcement as well as around the press conference, is a contribution on its own right and we expect it to be the standard in monetary policy research for the euro area.
We show that "quasi-dark" trading venues, i.e., markets with somewhat non-transparent trading mechanisms, are important parts of modern equity market structure alongside lit markets and dark pools. Using the European MiFID II regulation as a quasi-natural experiment, we find that dark pool bans lead to (i) volume spill-overs into quasi-dark trading mechanisms including periodic auctions and order internalization systems; (ii) little volume returning to transparent public markets; and consequently, (iii) a negligible impact on market liquidity and short-term price efficiency. These results show that quasi-dark markets serve as close substitutes for dark pools and consequently mitigate the effectiveness of dark pool regulation. Our findings highlight the need for a broader approach to transparency regulation in modern markets that takes into consideration the many alternative forms of quasi-dark trading.
We study how the informativeness of stock prices changes with the presence of high-frequency trading (HFT). Our estimate is based on the staggered start of HFT participation in a panel of international exchanges. With HFT presence, market prices are a less reliable predictor of future cash flows and investment, even more so for longer horizons. Further, firm-level idiosyncratic volatility decreases, and the holdings and trades by institutional investors deviate less from the market-capitalization weighted portfolio as a benchmark. Our results document that the informativeness of prices decreases subsequent to the start of HFT. These findings are consistent with theoretical models of HFTs' ability to anticipate informed order flow, resulting in decreased incentives to acquire fundamental information.
Nach der 2008 startenden Finanzmarktkrise sind Maßnahmen zur Regulierung und Stabilisierung der Finanzmärkte in das Zentrum der politischen und der gesellschaftlichen Aufmerksamkeit gerückt. Insbesondere die hohen fiskalischen Kosten der Staaten zur Stützung ihrer Bankensysteme sowie die volkswirtschaftlichen Kosten infolge des Einbruchs des Wirtschaftswachstums in den Jahren nach der Insolvenz der US Investmentbank Lehman Brothers hatten einen globalen Konsens über die Notwendigkeit neuer Regulierungsmaßnahmen zur Folge. Im Ergebnis wurden das internationale Regulierungswerk Basel III sowie weitere nationale Maßnahmen zur Stabilisierung des Finanzsektors neu konzipiert und in Europa im Wege einer in nationales Recht umzusetzenden Richtlinie (die Capital Require-ments Directive IV - CRD IV) sowie einer Verordnung (die Capital Requirements Regulation CRR, welche unmittelbar geltendes Recht darstellt) eingeführt.
Vor diesem Hintergrund analysiert das vorliegende interdisziplinäre Gutachten die Auswirkungen der Regulierungsmaßnahmen, die zwischen 2008 bis zu Beginn des Jahres 2018 umgesetzt wurden auf dem deutschen Finanzsektor.
In this paper we argue that the own findings of the SSM THEMATIC REVIEW ON PROFITABILITY AND BUSINESS MODEL and the academic literature on bank profitability do not provide support for the business model approach of supervisory guidance. We discuss in the paper several reasons why the regulator should stay away from intervening in management practices. We conclude that by taking the role of a coach instead of a referee, the supervisor generates a hazard for financial stability.
We study the effects of market incompleteness on speculation, investor survival, and asset pricing moments, when investors disagree about the likelihood of jumps and have recursive preferences. We consider two models. In a model with jumps in aggregate consumption, incompleteness barely matters, since the consumption claim resembles an insurance product against jump risk and effectively reproduces approximate spanning. In a long-run risk model with jumps in the long-run growth rate, market incompleteness affects speculation, and investor survival. Jump and diffusive risks are more balanced regarding their importance and, therefore, the consumption claim cannot reproduce approximate spanning.
Differences in euro-area household finances and their relevance for monetary-policy transmission
(2019)
This paper quantifies the extent of heterogeneity in consumption responses to changes in real interest rates and house prices in the four largest economies in the euro area: France, Germany, Italy, and Spain. We first calibrate a life-cycle incomplete-markets model with a financial asset and housing to match the large heterogeneity of households asset portfolios, observed in the Household Finance and Consumption Survey (HFCS) for these countries. We then show that the heterogeneity in household finances implies that responses of consumption to changes in the real interest rate and in house prices differ substantially across countries, and within countries by household characteristics such as age, housing tenure, and asset positions. The different consumption responses quantified in this paper point towards important heterogeneity in monetary-policy transmission in the euro area.
Using a unique confidential contract level dataset merged with firm-level asset price data, we find robust evidence that firms' stock market valuations and employment levels respond more to monetary policy announcements the higher the degree of wage rigidity. Data on the renegotiations of collective bargaining agreements allow us to construct an exogenous measure of wage rigidity. We also find that the amplification induced by wage rigidity is stronger for firms with high labor intensity and low profitability, providing evidence of distributional consequences of monetary policy. We rationalize the evidence through a model in which firms in different sectors feature different degrees of wage rigidity due to staggered renegotiations vis-a-vis unions.
This dissertation consists of four self-contained chapters in the overlapping fields of industrial organization and organizational economics on the topics pricing, careers and supervision. Each chapter is the result of an independent research project. The dissertation analyzes empirical research topics by exploring novel observational data sets. It sheds light on open questions in the economic profession by extending fundamental models on pricing in the first two chapters and by challenging conventional explanations and methods on careers and supervision in the last two chapters.
- Chapter 1:
The first chapter is based on joint work with Steffen Eibelshäuser. It models price competition among brick-and-mortar retailers with business hours. Specifically, we propose a dynamic model of intraday price competition featuring spatial differentiation and firm size heterogeneity. The model makes detailed predictions concerning equilibrium-pricing patterns. When spatial differentiation is high and consumers cannot easily switch between retailers, equilibrium prices are stable at oligopoly levels. When differentiation is low, equilibrium prices fluctuate in cycles. The shapes of the cycles depend on the level of differentiation and on retailers’ reaction times. When reaction times decrease, the number of price cycles increases. In a second step, we apply the model to the German retail gasoline market. Gasoline retailers have been using digital price tags for decades and fast-paced price competition with more than ten price changes per day is no exception. Our model has successfully predicted the emergence of an additional intraday subcycle in April 2017. Moreover, we were able to confirm several detailed predictions concerning the shape of equilibrium price paths and individual firm behavior. Finally, we calibrate the model using a generalized method of moments. The model fits the data remarkably well, with coefficients of determination ranging from 60% to 80%. We use the fitted model to evaluate a number of policy counterfactuals. Restricting price increases results in higher prices and decreased welfare, leading us to conclude that regulation of dynamic markets is highly complex and can easily backfire.
- Chapter 2:
The second chapter analyzes the price-matching policies of two gasoline retailers. Customers of these retailers that are able to provide evidence of competitors posting lower prices have the ability to claim price matches. As shown in the first chapter, the Edgeworth Cycle model rationalizes price fluctuations in the German gasoline retail market. To determine policy interactions in cycling markets, this chapter extends the classical Edgeworth Cycle model by price-matching. The model predicts that price-matching retailers post higher prices and initiate price increases. The price-consulted firm anticipates this strategy, posts lower prices, and provokes the implementing firm to restore the price more frequently. Consulted stations also anticipate earlier price restoration reactions from implementing stations and, thus, provoke restorations earlier. This effect dominates in welfare calculations, such that price matching has positive welfare implications.
The second part of the chapter tests the hypotheses with price data on the German gasoline retail market. The estimation exploits a discontinuity in the policy-affected retailers. Therefore, the analysis disentangles the competitive effects of implementing and price-consulted market participants in comparison to retailers that are not affected. As predicted, the posted average and minimum prices of one implementing retailer and its consulted competitors increase. For the other price-matching retailer, I find reduced prices that contradict the model. The last part of the chapter relates the empirics to static models and shows that the dynamic component provides previously undiscovered insights.
- Chapter 3:
The third chapter is based on joint work with Emmanuelle Auriol and Guido Friebel. It represents the subtopic of careers in this dissertation. Specifically, the chapter provides the first comprehensive data collection analysis of women’s careers in all European research institutions in the field of economics. Using a web-scraping algorithm that constantly accesses position information on institutions’ websites, we collect a novel data set on researchers in Europe. These details entail information on researchers’ gender obtained by the first name and a face recognition. Similar to survey data on U.S. institutions, we identify a leaky pipeline, as women are less likely to become professors than men are. The situation is very heterogeneous across Europe. The gap is substantially larger in Western and Southern Europe than in Central and Eastern Europe. Furthermore, we identify institutions with a higher research output and a better research-ranking having a systematically lower share of females in full professor positions as well as entry-level positions for Ph.D. graduates. Austria, Belgium, Italy, Portugal, and Spain are the drivers for this correlation. All these results are in line with the “leaky pipeline” hypothesis, in which, over the different stages of a career, the attrition of women is higher than the one of men. We show that the cohort hypothesis arguing that the lag effect between the time of Ph.D. completion and the time of promotion to a full professorship is unable to explain the current low number of females.
- Chapter 4:
The fourth and last chapter "What does Mystery Shopping do?" is based on joint work with Sidney Block, Guido Friebel, Matthias Heinz, and Nick Zubanov. It addresses an auditing practice with a yearly U.S.-turnover of 19.5 billion USD in 2016 (European Society for Opinion and Market Research, 2017: Global Market Research 2017). The term mystery represents the key aspect of the tool. During an anonymous visit, so-called mystery shoppers perform certain predefined tasks such as purchasing a product, asking questions, registering complaints, or behaving in a certain way. Following their visit, the shoppers provide detailed reports about their experiences to the evaluated firms. The chapter investigates whether the practice is suitable to determine employees’ pay. Contrary to the general understanding that firms are able to observe service quality and, in turn, can proxy for business success with mystery shopping, we do not observe mystery-shopping evaluations to correlate positively with firm performance. A decomposition of the evaluation reports indicates that mystery-shopping scores are biased and the shopper’s identity explains up to 20% of the score’s variance. Thus, the shopper’s identity has the largest impact out of all observable characteristics. With the results that mystery-shopping scores are noisy and biased, we conclude that they are not suitable for performance pay in the context of our study. In addition, we show that if the number of observations is sufficiently large, aggregated scores relate to business success. The required number of shops per evaluation period must be, however, larger by a factor between 3 and 30 per evaluated subject. Hence, cost advantages of mystery shopping diminish such that the cost benefits to customer assessments could vanish completely. The current methodology, however, may still be useful for other employee-related purposes like monitoring, which is in line with the policies of the considered firms.
We model the decisions of young individuals to stay in school or drop out and engage in criminal activities. We build on the literature on human capital and crime engagement and use the framework of Banerjee (1993) that assumes that the information needed to engage in crime arrives in the form of a rumour and that individuals update their beliefs about the profitability of crime relative to education. These assumptions allow us to study the effect of social interactions on crime. In our model, we investigate informational spillovers from the actions of talented students to less talented students. We show that policies that decrease the cost of education for talented students may increase the vulnerability of less talented students to crime. The effect is exacerbated when students do not fully understand the underlying learning dynamics.
Discussions about the banking union have restarted. Its success so far is limited: national banking sectors are still overwhelmingly exposed to their own countries’ economies, cross border banking has not increased and capital and liquidity remain locked within national boundaries. The policy letter highlights that the current debate, centered on sovereign exposures and deposit insurance, misses critical underlying problems in the supervision and resolution frameworks. The ECB supervisors’ efforts to facilitate cross-border banking have been hampered by national ringfencing. The resolution framework is not up to its task: limited powers of the SRB, prohibitive access conditions and limited size of the Single Resolution Fund limit its effectiveness. A lack of a coherent European framework for insolvency unlevels the regulatory field and creates incentives to bypass European rules. The new Commission and European Parliament, with the new ECB leadership, provide a unique opportunity to address these shortcomings and make the banking union work.
We study the accuracy and usefulness of automated (i.e., machine-generated) valuations for illiquid and heterogeneous real assets. We assemble a database of 1.1 million paintings auctioned between 2008 and 2015. We use a popular machine-learning technique—neural networks—to develop a pricing algorithm based on both non-visual and visual artwork characteristics. Our out-of-sample valuations predict auction prices dramatically better than valuations based on a standard hedonic pricing model. Moreover, they help explaining price levels and sale probabilities even after conditioning on auctioneers’ pre-sale estimates. Machine learning is particularly helpful for assets that are associated with high price uncertainty. It can also correct human experts’ systematic biases in expectations formation—and identify ex ante situations in which such biases are likely to arise.
We examine the degree to which competition amongst lenders interacts with the cyclicality in lending standards using a simple measure, the average physical distance of borrowers from banks’ branches. We propose that this novel measure captures the extent to which lenders are willing to stretch their lending portfolio. Consistent with this idea, we find a significant cyclical component in the evolution of lending distances. Distances widen considerably when credit conditions are lax and shorten considerably when credit conditions become tighter. Next, we show that a sharp departure from the trend in distance between banks and borrowers is indicative of increased risk taking. Finally, we provide evidence that as competition in banks’ local markets increases, their willingness to make loans at greater distance increases. Since average lending distance is easily measurable, it is potentially a useful measure for bank supervisors.
Decisions under ambiguity depend on both the belief regarding possible scenarios and the attitude towards ambiguity. This paper exclusively investigates the belief formation and belief updating process under ambiguity, using laboratory experiments. The results show that half of the subjects tend to adopt a simple heuristic strategy when updating beliefs, while the other half seems to partially adopt the Bayesian updates. We recover beliefs, represented by distributions of the priors/posteriors. The recoverable initial priors mostly follow a uniform distribution. We also find that subjects on average demonstrate slight pessimism in an ambiguous environment.
Do household inflation expectations affect consumption-savings decisions? We link survey data on quantitative inflation expectations to administrative data on income and wealth. We document that households with higher inflation expectations save less. Estimating panel data models with year and household fixed effects, we find that a one percentage point increase in a household's inflation expectation over time is associated with a 250-400 euro reduction in the household's change in net worth per year on average. We also document that households with higher inflation expectations are more likely to acquire a car and acquire higher-value cars. In addition, we provide a quantitative model of household-level inflation expectations.
We investigate the default probability, recovery rates and loss distribution of a portfolio of securitised loans granted to Italian small and medium enterprises (SMEs). To this end, we use loan level data information provided by the European DataWarehouse platform and employ a logistic regression to estimate the company default probability. We include loan-level default probabilities and recovery rates to estimate the loss distribution of the underlying assets. We find that bank securitised loans are less risky, compared to the average bank lending to small and medium enterprises.
We propose a shrinkage and selection methodology specifically designed for network inference using high dimensional data through a regularised linear regression model with Spike-and-Slab prior on the parameters. The approach extends the case where the error terms are heteroscedastic, by adding an ARCH-type equation through an approximate Expectation-Maximisation algorithm. The proposed model accounts for two sets of covariates. The first set contains predetermined variables which are not penalised in the model (i.e., the autoregressive component and common factors) while the second set of variables contains all the (lagged) financial institutions in the system, included with a given probability. The financial linkages are expressed in terms of inclusion probabilities resulting in a weighted directed network where the adjacency matrix is built “row by row". In the empirical application, we estimate the network over time using a rolling window approach on 1248 world financial firms (banks, insurances, brokers and other financial services) both active and dead from 29 December 2000 to 6 October 2017 at a weekly frequency. Findings show that over time the shape of the out degree distribution exhibits the typical behavior of financial stress indicators and represents a significant predictor of market returns at the first lag (one week) and the fourth lag (one month).
We show that banks that are facing relatively high locally non-diversifiable risks in their home region expand more across states than banks that do not face such risks following branching deregulation in the 1990s and 2000s. These banks with high locally non-diversifiable risks also benefit relatively more from deregulation in terms of higher bank stability. Further, these banks expand more into counties where risks are relatively high and positively correlated with risks in their home region, suggesting that they do not only diversify but also build on their expertise in local risks when they expand into new regions.
The paper analyses the linkages from financial developments to public finances. It maps and discusses the transmission channels to fiscal variables. These channels include asset prices, financing conditions, balance sheets of banks, non-banks and central banks and international linkages. The study argues that the fiscal effects via each and all these channels can be very serious in magnitude and can put the sustainability of public finances at risk. However, there is an only limited in-depth analysis of these channels and risks.
SAFE Newsletter : 2019, Q2
(2019)
SAFE Newsletter : 2019, Q3
(2019)
SAFE Newsletter : 2019, Q1
(2019)
SAFE Newsletter : 2019, Q4
(2019)
We investigate the default probability, recovery rates and loss distribution of a portfolio of securitised loans granted to Italian small and medium enterprises (SMEs). To this end, we use loan level data information provided by the European DataWarehouse platform and employ a logistic regression to estimate the company default probability. We include loan-level default probabilities and recovery rates to estimate the loss distribution of the underlying assets. We find that bank securitised loans are less risky, compared to the average bank lending to small and medium enterprises.
Local crowding out in China
(2019)
In China, between 2006 and 2013, local public debt crowded out the investment of private firms by tightening their funding constraints, while leaving state-owned firms’ investment unaffected. We establish this result using a purpose-built dataset for Chinese local public debt. Private firms invest less in cities with more public debt, the reduction in investment being larger for firms located farther from banks in other cities or more dependent on external funding. Moreover, in cities where public debt is high, private firms’ investment is more sensitive to internal cash flow, also when cash-flow sensitivity is estimated jointly with the probability of being credit-constrained.
Libra – a global virtual currency project initiated by Facebook – has been the subject of many controversial discussions since its announcement in June 2019. This paper provides a differentiated view on Libra, recognising that different development scenarios of Libra are conceivable.
Libra could serve purely as an alternative payment system in combination with a dedicated payment token, the Libra coin. Alternatively, the Libra project could develop into a broader financial infrastructure for advanced financial services such as savings and loan products operating on the Libra blockchain. Based on a comparison of the Libra architecture with other cryptocurrencies, the opportunities and challenges for the development of the respective Libra ecosystems are investigated form a commercial, regulatory and monetary policy perspective.
In this exploratory article, we consider the future of Deutsche Bank and Commerzbank and develop a new approach to the topic: instead of a merger of DB and CB we propose to consider a partial merger of the IT and related back office functions in order to create the basis for an Open Banking platform in Germany. Such a platform would act as a cross-institutional infrastructure company in which the participating banks develop a common data and IT platform (while respecting the data protection regulations). Significant parts of the transaction processes would be pooled by the institutions and executed by the Open Banking platform. Moreover, the institutions remain legally independent and compete with each other at the level of products and services that are developed and produced using just this common data and IT platform – “national champions” would not be created.
But such an “Open Banking Platform” could become even the nucleus of a European Banking platform that could be competitive with existing global data platforms from the USA and China which are already offering financial services and are likely to expand their offerings in the foreseeable future. The proposed model of an open data platform for banks prevents the emergence of national champions and supports the main goal of the banking union: creation of a financial system, in which single banks can be resolved without provoking a systemic crisis and forcing taxpayers to finance bailouts.
Job loss expectations, durable consumption and household finances : evidence from linked survey data
(2019)
Job security is important for durable consumption and household savings. Using surveys, workers express a probability that they will lose their job in the next 12 months. In order to assess the empirical content of these probabilities, we link survey data to administrative data with labor market outcomes. Workers predict job loss quite well, in particular those whose job loss is followed by unemployment. Workers with higher job loss expectations acquire cheaper cars, and are less likely to buy new cars. In line with models of precautionary saving, higher job loss expectations are associated with more savings and less exposure to risky assets.
We investigate the transmission of central bank liquidity to bank deposits and loan spreads in Europe over the January 2006 to June 2010 period. We find evidence consistent with an impaired transmission channel due to bank risk. Central bank liquidity does not translate into lower loan spreads for high-risk banks, even as it lowers deposit rates for both high-risk and low-risk banks. This adversely affects the balance sheets of high-risk bank borrowers, leading to lower payouts, lower capital expenditures, and lower employment. Overall, our results suggest that banks’ capital constraints at the time of an easing of monetary policy pose a challenge to the effectiveness of the bank lending channel and the effectiveness of the central bank as a lender of last resort.
Depressed demand and supply
(2019)
We investigate the implications of experienced-based learning on consumption-saving and labor supply, two fundamental decisions in business cycle models. Using the Dutch Household Survey, we find that individuals who have experienced higher national unemployment rates over their lifetime save more, borrow less, and work less, after controlling for aggregate shocks, income, wealth, and demographics. Possibly explaining these behavioral responses, these individuals find it more important to save for retirement and to cover unexpected expenses, are more worried about losing their job, and dislike their job more. These results have implications for business cycle models and stabilization policies.
This paper aspires to provide an overview of the issue of diversity of banking and financial systems and its development over time from a positive and a normative perspective. In other word: how different are banks within a given country and how much do banking systems and entire financial systems differ between countries and regions, and do in-country diversity and between-country diversity change over time, as one would be inclined to expect as a consequence of globalization and increasingly global standards of regulation?
As the first part of this paper shows, the general answer to these questions is that there is still today a surprisingly high level of diversity in finance. This raises the two questions addressed in the second part of the paper: How can the persistence of diversity be explained, and how can it be assessed? In contrast to prevailing views, the author argues that persistent diversity should be regarded as valuable in a context in which there is no clear answer to the question of which structures of banking and financial systems are optimal from an economic perspective
We uncover a new channel for spillovers of funding dry-ups. The 2016 US money market fund (MMF) reform exogenously reduced unsecured MMF funding for some banks. We use novel data to trace those banks to a platform for corporate deposit funding. We show that intensified competition for corporate deposits spilled the funding squeeze over to other banks with no MMF exposure. These banks paid more for deposits, and their pool of funding providers deteriorated. Moreover, their lending volumes and margins declined, and their stocks underperformed. Our results suggest that banks' competitiveness in funding markets affect their competitiveness in lending markets.
In this study, we investigate the wealth decumulation decision from the perspective of a retiree who is averse to the prospect of fully annuitizing her accumulated savings. We field a large online survey of hypothetical product choices for phased drawdown offerings and annuities. While the demand for annuities remains low in our sample, we find significant demand for phased withdrawal products with equity-based asset allocations and flexible payout structures. Consistent with the product choice, the most important self-reported considerations for the wealth decumulation decision are low default risk in the products they purchase, the size of the withdrawal rates, and flexibility in the timing of their withdrawal. As determinants of the decision of how much wealth individuals are willing to draw down, we identify consumers’ attitudes towards future economic conditions, the extent to which they are protected against longevity risk, and their desire to leave bequests. Policy implications are discussed.
Is it true that speed bumps level the playing field, make financial markets more stable and reduce negative externalities of high-frequency trading (HFT) firms? We examine how the implementation of a particular speed bump – Midpoint Extended Life order (M-ELO) on Nasdaq impacted financial markets stability in terms of occurrences of mini-flash crashes in individual securities. We use high-frequency order book message data around the implementation date and apply difference-in-differences analysis to estimate the average treatment effect of the speed bump on market stability and liquidity provision. The results suggest that the introduction of the M-ELO decreases the average number of crashes on Nasdaq compared to other exchanges by 4.7%. Liquidity provision by HFT firms also improves. These findings imply that technology-based solutions by exchanges are feasible alternatives to regulatory intervention towards safer markets.
This paper analyzes the effect of financial constraints on firms' corporate social responsibility. Exploiting heterogeneity in firms' exposure to a monetary policy shock in the U.S., which reduced financial constraints for some firms, I find that firms increase their environmental responsibility. I use facility-level data to account for unobservable time-varying influences on pollution and find that toxic emissions decrease when parent companies are more exposed to the monetary policy shock. I further find that these facilities are also more likely to implement pollution abatement activities. Examining within-parent company heterogeneity I find that pollution abatement investments center on facilities at greater risk of facing additional costs due to environmental regulation. The findings are consistent with the idea that a reduction in financial constraints reduces pollution as it allows firms to implement pollution abatement measures.
Master of science in international economics and economic policy : guidelines winter term 2019/20
(2019)
German proposal for a common European deposit insurance, new rules for investment firms and covered bonds, and new EU legal framework on Sustainable Finance: a selection of financial regulatory developments from this month.
Facebook’s proposal to create a global digital currency, Libra, has generated a wide discussion about its potential benefits and drawbacks. This note contributes to this discussion and, first, characterizes similarities and dissimilarities of Libra’s building blocks with existing institutions. Second, the note discusses open questions about Libra which arise from this characterization and, third, potential future developments and their policy implications. A central issue is that Libra raises considerable questions about its role in and impact on the international monetary and financial system that should be addressed before policymakers and regulators give Libra the green light.
Recently, Fuest and Sinn (2018) have demanded a change of rules for the Eurozone’s Target 2 payment system, claiming it would violate the Statutes of the European System of Central Banks and of the European Central Bank. The authors present a stylized model based on a set of macro-economic assumptions, and show that Target 2 may lead to loss sharing among national central banks (NCBs), thus violating the no risk-sharing requirement laid out by the Eurosystem Statutes.
In this note, I present an augmented model that incorporates essential features of the micro- and macroprudential regulatory and supervisory regime that today is hard-wired into Europe’s banking system. The model shows that the original no-risk-sharing principle is not necessarily violated during a financial crisis of a member state. Moreover, it shows that under a banking union regime, financial crisis asset value losses at or below the 99.9th percentile are borne by private investors, not by taxpayers, and particularly not by central banks.
Therefore, policy conclusions from the micro-founded model differ significantly from those suggested by Fuest and Sinn (2018).
Die Europäische Zentral Bank hat am 6. Juni 2019 beschlossen, die Nullzinspolitik bis Mitte 2020 beizubehalten, obwohl mit dieser das Inflationsziel von 2% seit Jahren, in Japan seit Jahrzehnten, verfehlt wird. Nach dem Neo-Fisher-Effekt sollte, gegeben dieses Ziel, der Zins nicht gesenkt, sondern gehoben werden, weil die Inflationsrate der Differenz von Nominal- und langfristig stabilem Realzins entspricht. Zwar senken rasche Zinserhöhungen Nachfrage und Preise, aber daraus folgt nicht notwendig, dass niedrige Zinsen die Nachfrage anregen. Gemäß neueren Untersuchungen werden langsam durchgeführte Zinserhöhungen bei rationalen Erwartungen dagegen das Preisniveau heben. Der Aufsatz untersucht die begleitenden Verteilungswirkungen und stützt die These mit Überlegungen aus dem 19. Jahrhundert, wonach die gestiegenen Preise durch die Erhöhung der Zinskosten erklärt werden können.
In early July 2019, Christian Sewing, the CEO of Deutsche Bank, proclaimed a fundamental shift of the bank’s strategy after finally obtaining the approval of the Supervisory Board, which the management seems to have requested for quite some time. The essential point of the reorientation is a deep cut into the bank’s investment banking activities. At the same time, those parts of the bank’s activity portfolio that had been the mainstay of Deutsche Bank’s business 20 to 25 years ago, in particular lending to large and mid-sized German and European corporate clients, shall be strengthened in spite of a simultaneous reduction of the bank’s staff by 18,000 FTEs over the next three years.
The bank’s CEO, who has only been in office since about one year, was reported to have called this shift of strategy a “return to the roots of Deutsche Bank” at the press conference at which it was announced, without, however, making it clear to which roots he was referring: those of some 40 years ago, when Deutsche Bank was essentially a Germany-focused commercial bank, or even those from the late 19th century, when the bank had been founded with the mission to become an international bank with a strong capital market-orientation. In any event, the press was impressed and keeps repeating these words, that deserve to be taken seriously and irrespective of their vagueness may be justified. If it were successfully implemented, this change of strategy would indeed be fundamental and imply undoing what Deutsche Bank’s former management teams had aspired to do in the last 20 or 25 years.
The newly announced strategy shift raises two questions. Can it be successful, and what does it mean for the bank itself and its shareholders, for its staff and for its clients? And what does it imply for the German financial system? This note focuses on the latter question. What makes it interesting is the fact that the last fundamental change of Deutsche Bank’s strategy of two decades ago, which aimed at transforming Deutsche Bank from a Germany-centered commercial bank into a leading international investment bank, had a profound – and in my view clearly negative - effect on the entire German financial system.
We study nominal wage rigidity in the Netherlands using administrative data, which has three key features: (1) high-frequency (monthly), (2) high-quality (administrative records), and (3) high coverage (the universe of workers and the universe of firms). We find wage rigidity patterns in the data that are similar to wage behavior documented for other European countries. In particular we find that the hazard function has two spikes, one at 12 months and another one at 24 months and wage changes have time and state dependency components. As a novel and important piece of evidence we also uncover substantial heterogeneity in the frequency of wage changes due to explicit terms of the labor contract. In particular, contracts featuring flexible hours, such as on-call contracts, exhibit a higher probability of a change in the contract wage compared to fixed hour contracts. Once we split the sample based on contract characteristics, we also find that the response of wage changes to the time and state component is heterogeneous across different type of contracts - with relatively more downward adjustments in flexible-hour contract wages in response to aggregate unemployment.
Using a novel regulatory dataset of fully identified derivatives transactions, this paper provides the first comprehensive analysis of the structure of the euro area interest rate swap (IRS) market after the start of the mandatory clearing obligation. Our dataset contains 1.7 million bilateral IRS transactions of banks and non-banks. Our key results are as follows:
1) The euro area IRS market is highly standardised and concentrated around the group of the G16 Dealers but also around a significant group of core “intermediaries"(and major CCPs).
2) Banks are active in all segments of the IRS euro market, whereas non-banks are often specialised.
3) When using relative net exposures as a proxy for the “flow of risk" in the IRS market, we find that risk absorption takes place in the core as well as the periphery of the network but in absolute terms the risk absorption is largely at the core.
4) Among the Basel III capital and liquidity ratios, the leverage ratio plays a key role in determining a bank's IRS trading activity.
Exploiting heterogeneity in U.S. firms' exposure to an unconventional monetary policy shock that reduced debt financing costs, I identify the impact of financing conditions on firms' toxic emissions. I find robust evidence that lower financing costs reduce toxic emissions and boost investments in emission reduction activities, especially capital-intensive pollution control activities. The effect is stronger for firms in noncompliance with environmental regulation. Examining the ability of regaining regulatory compliance by implementing pollution control activities I find that only capital-intensive activities help firms regaining compliance. These findings underscore the impact of firms' financing conditions for emissions and the environment.
Completing banking union
(2019)
To complete banking union, there should be a single European deposit insurance scheme (EDIS) alongside the single supervisor and the single resolution authority. This would ensure uniformity across the Eurozone and facilitate the removal of barriers to the mobility of liquidity and capital within the single market. That in turn would promote efficiency in the banking sector and in the economy at large — just at the time that the EU needs to boost growth in order to remain competitive with the US and China.
The EDIS promise to promptly reimburse insured deposits at a failed bank in the Eurozone should be unconditional. But who will stand behind that commitment? Who is the “E” in EDIS? Is its promise credible, even in a crisis? If a deposit guarantee scheme fails to deliver what people expect, panic would very likely erupt. Instead of strengthening financial stability, deposit insurance could destroy it.
Yet this is the risk that current proposals pose. They create the impression that there will be a single deposit guarantee scheme. There will not. Instead, there will be a complex set of liquidity and reinsurance arrangements among Member State schemes.
These defects need to be remedied. To do so, we propose creating a European Deposit Insurance Corporation (EDIC) alongside national schemes. For banks that meet EDIC’s strict entry criteria and decide to become members, EDIC will promise to reimburse promptly — in the event the member bank fails — 100 cents on the euro in euro for each euro of insured deposits, regardless of the Eurozone Member State in which the bank is headquartered.
In effect, the single deposit guarantee scheme would be created via migration to EDIC rather than mutualisation of existing schemes. This would increase the mobility of capital and liquidity and lead to a convergence of interest rates across the Eurozone. That in turn will improve the effectiveness of monetary policy, foster integration and promote growth.
The use of contractual engineering to create channels of credit intermediation outside of the realm of banking regulation has been a recurring activity in Western financial systems over the last 50 years. After the financial crisis of 2007 and 2008, this phenomenon, at that time commonly referred to as ‘shadow banking’, evoked a large-scale regulatory backlash, including several specific regulatory constraints being placed on non-bank financial institutions (NBFI). This paper proposes a different avenue for regulators to keep regulatory arbitrage under control and preserve sufficient space for efficient financial innovation. Rather than engaging in the proverbial race between hare and hedgehog that is emerging with increasingly specific regulation of particular contractual arrangements, this paper argues for a normative approach to supervision. We outline this approach in detail by showing that regulators should primarily analyse the allocation of tail risk inherent in the respective contractual arrangements. Our paper proposes to assign regulatory burdens equivalent to prudential banking regulation, in case these arrangements become only viable through indirect or direct access to an (ad hoc) public backstop. In order to make the pivotal assessment, regulators will need information about recent contractual innovations and their risk-allocating characteristics. According to the scholarship on regulatory networks serving as communities of interpretation, we suggest in particular how regulators should structure their relationships with semi-public gatekeepers such as lawyers, auditors and consultants to keep abreast of the real-world implications of evolving transactional structures. This paper then uses the rise of credit funds as a non-bank entities economically engaged in credit intermediation to apply this normative framework, pointing to recent contractual innovations that call for more regulatory scrutiny in a multipolar regulatory dialogue.
We show that firm liability structure and associated cash flow matter for firm behavior, and that financial market participants price stocks accordingly. Looking at firm level stock price changes around monetary policy announcements, we find that firms that have more cash flow exposure see their stock prices affected more. The stock price reaction depends on the maturity and type of debt issued by the firm, and the forward guidance provided by the Fed. This effect has remained intact during the ZLB period. Importantly, we show that the effect is not a rule of thumb behavior outcome and that the marginal stock market participant actually studies and reacts to the liability structure of firm balance sheets. The cash flow exposure at the time of monetary policy actions predicts future net worth, investment, and assets, verifying the stock pricing decision and also providing evidence of cash flow effects on firms' real behavior. The results hold for S&P500 firms that are usually thought of not being subject to tight financial constraints.
Distributed ledger technology especially in the form of publicly coordinated validation networks such as Ethereum and Bitcoin with their own monetary circles provide for a revealing litmus test for current financial regulatory schemes. The paper highlights the interrelation between distributed coordination and the emission of virtual currency to make sense of the function of the new monetary phenomenon. It then argues for the regulation of financial services on the ground of the technology to ensure integrity standards. In this respect, it is useful to gear the development of a regulatory scheme towards the existing financial regulatory principles. However, future measures of the regulators must take the distributed nature of the platforms into account by relying on a “regulated self-regulation” of the community. Finally, the article focuses on the shortcomings of the current EU regulatory regimes, especially the regulation frameworks regarding financial services, payment services and electronic money.
Many Americans claim Social Security benefits early, though this leaves them with lower benefits throughout retirement. We build a lifecycle model that closely tracks claiming patterns under current rules, and we use it to predict claiming delays if, by delaying benefits, people received a lump sum instead of an annuity. We predict that current early claimers would defer claiming by a year given actuarially fair lump sums, and the predictions conform with respondents’ answers to a strategic survey about the lump sum. In other words, such a reform could provide an avenue for encouraging delayed retirement without benefit cuts or tax increases. Moreover, many people would still defer claiming even for smaller lump sums.
Data is considered the new oil of the economy, but privacy concerns limit their use, leading to a widespread sense that data analytics and privacy are contradictory. Yet such a view is too narrow, because firms can implement a wide range of methods that satisfy different degrees of privacy and still enable them to leverage varied data analytics methods. Therefore, the current study specifies different functions related to data analytics and privacy (i.e., data collection, storage, verification, analytics, and dissemination of insights), compares how these functions might be performed at different levels (consumer, intermediary, and firm), outlines how well different analytics methods address consumer privacy, and draws several conclusions, along with future research directions.