Sustainable Architecture for Finance in Europe (SAFE)
Refine
Year of publication
Document Type
- Working Paper (817)
- Part of Periodical (509)
- Report (62)
- Article (32)
- Contribution to a Periodical (2)
- Periodical (2)
- Conference Proceeding (1)
- Review (1)
Is part of the Bibliography
- no (1426)
Keywords
- Financial Institutions (92)
- Capital Markets Union (67)
- ECB (62)
- Financial Markets (60)
- Banking Union (55)
- Banking Regulation (51)
- Household Finance (43)
- Banking Supervision (40)
- Macro Finance (40)
- Monetary Policy (35)
Institute
- Sustainable Architecture for Finance in Europe (SAFE) (1426)
- Wirtschaftswissenschaften (1371)
- Center for Financial Studies (CFS) (791)
- House of Finance (HoF) (695)
- Institute for Monetary and Financial Stability (IMFS) (126)
- Rechtswissenschaft (63)
- Foundation of Law and Finance (48)
- Institute for Law and Finance (ILF) (7)
- Gesellschaftswissenschaften (6)
- Frankfurt MathFinance Institute (FMFI) (3)
The lack of a European Deposit Insurance Scheme (EDIS) – often referred to as the ‘third pillar’ of Banking Union – has been criticized since the inception of the EU Banking Union. The Crisis Management and Deposit Insurance (CMDI) framework needs to rely heavily on banks’ internal loss absorbing capacity and provides little flexibility in terms of industry resolution funding. This design has, among others, led to the rare application of the CMDI, particularly in the case of small and medium sized retail banks. This reluctance of resolution authorities weakens any positive impact the CMDI may have on market discipline and ultimately financial stability. After several national governments pushed back against the establishment of an EDIS, the Commission recently took a different approach and tried to reform the CMDI comprehensively, without seeking to erect a ‘third pillar’. The overarching rationale of the CMDI Proposal is to make resolution funding more flexible. To this end, the proposal seeks to facilitate contributions from (national) deposit guarantee schemes (DGS). At the same time, the CMDI Proposal tries to broaden the scope of resolution to include smaller and medium sized banks. This paper provides an assessment of the CMDI Proposal. It argues that the CMDI Proposal is a step in the right direction but cannot overcome fundamental deficiencies in the design of the Banking Union.
The lack of a European Deposit Insurance Scheme (EDIS) – often referred to as the ‘third pillar’ of Banking Union – has been criticized since the inception of the EU Banking Union. The Crisis Management and Deposit Insurance (CMDI) framework needs to rely heavily on banks’ internal loss absorbing capacity and provides little flexibility in terms of industry resolution funding. This design has, among others, led to the rare application of the CMDI, particularly in the case of small and medium sized retail banks. This reluctance of resolution authorities weakens any positive impact the CMDI may have on market discipline and ultimately financial stability. After several national governments pushed back against the establishment of an EDIS, the Commission recently took a different approach and tried to reform the CMDI comprehensively, without seeking to erect a ‘third pillar’. The overarching rationale of the CMDI Proposal is to make resolution funding more flexible. To this end, the proposal seeks to facilitate contributions from (national) deposit guarantee schemes (DGS). At the same time, the CMDI Proposal tries to broaden the scope of resolution to include smaller and medium sized banks. This paper provides an assessment of the CMDI Proposal. It argues that the CMDI Proposal is a step in the right direction but cannot overcome fundamental deficiencies in the design of the Banking Union.
We provide evidence on narratives about the macroeconomy - the stories people tell to explain macroeconomic phenomena - in the context of a historic surge in inflation. In surveys with more than 10,000 US households and 100 academic experts, we measure economic narratives in open-ended survey responses and represent them as Directed Acyclic Graphs. Households' narratives are strongly heterogeneous, coarser than experts' narratives, focus more on the supply side than on the demand side, and often feature politically loaded explanations. Households' narratives matter for their inflation expectation formation, which we demonstrate with descriptive survey data and a series of experiments. Informed by these findings, we incorporate narratives into an otherwise conventional New Keynesian model and demonstrate their importance for aggregate outcomes.
We examine the evolution of spatial house price dispersion during Germany's recent housing boom. Using a dataset of sales listings, we find that house price dispersion has significantly increased, which is driven entirely by rising price variation across postal codes. We show that both price divergence across labor market regions and widening spatial price variation within these regions are important factors for this trend. We propose and estimate a directed search model of the housing market to understand the driving forces of rising spatial price dispersion, highlighting the role of housing supply, housing demand and frictions in the matching process between buyers and sellers. While both shifts in housing supply and housing demand matter for overall price increases and for regional divergence, we find that variation in housing demand is the primary factor contributing to the widening spatial dispersion within labor market regions.
The Federal Reserve has been publishing federal funds rate prescriptions from Taylor rules in its Monetary Policy Report since 2017. The signals from the rules aligned with Fed action on many occasions, but in some cases the Fed opted for a different route. This paper reviews the implications of the rules during the coronavirus pandemic and the subsequent inflation surge and derives projections for the future.
In 2020, the Fed took the negative prescribed rates, which were far below the effective lower bound on the nominal interest rate, as support for extensive and long-lasting quantitative easing. Yet, the calculations overstate the extent of the constraint, because they neglect the supply side effects of the pandemic.
The paper proposes a simple model-based adjustment to the resource gap used by the rules for 2020. In 2021, the rules clearly signaled the need for tightening because of the rise of inflation, yet the Fed waited until spring 2022 to raise the federal funds rate. With the decline of inflation over the course of 2023, the rules’ prescriptions have also come down. They fall below the actual federal funds rate target range in 2024. Several caveats concerning the projections of the interest rate prescriptions are discussed.
This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools. Specifically, a fully connected feed forward non-linear autoregressive neural network (ANN) is contrasted to a well established dynamic stochastic general equilibrium (DSGE) model, a Bayesian vector autoregression (BVAR) using optimized priors as well as Greenbook and SPF forecasts. Model estimation and forecasting is based on an expanding window scheme using quarterly U.S. real-time data (1964Q2:2020Q3) for 8 macroeconomic time series (GDP, inflation, federal funds rate, spread, consumption, investment, wage, hours worked), allowing for up to 8 quarter ahead forecasts. The results show that the BVAR improves forecasts compared to the DSGE model, however there is evidence for an overall improvement of predictions when relying on ANN, or including them in a weighted average. Especially, ANN-based inflation forecasts improve other predictions by up to 50%. These results indicate that nonlinear data-driven ANNs are a useful method when it comes to macroeconomic forecasting.
We use a structural VAR model to study the German natural gas market and investigate the impact of the 2022 Russian supply stop on the German economy. Combining conventional and narrative sign restrictions, we find that gas supply and demand shocks have large and persistent price effects, while output effects tend to be moderate. The 2022 natural gas price spike was driven by adverse supply
shocks and positive storage demand shocks, as Germany filled its inventories before the winter. Counterfactual simulations of an embargo on natural gas imports from Russia indicate similar positive price and negative output effects compared to what we observe in the data.
I provide a solution method in the frequency domain for multivariate linear rational expectations models. The method works with the generalized Schur decomposition, providing a numerical implementation of the underlying analytic function solution methods suitable for standard DSGE estimation and analysis procedures. This approach generalizes the time-domain restriction of autoregressive-moving average exogenous driving forces to arbitrary covariance stationary processes. Applied to the standard New Keynesian model, I find that a Bayesian analysis favors a single parameter log harmonic function of the lag operator over the usual AR(1) assumption as it generates humped shaped autocorrelation patterns more consistent with the data.
We create an alternative version of the present utility value formula to explicitly show that every store-of-value in the economy bears utility-interest (non-pecuniary income) for ist holder regardless of possible interest earnings from financial markets. In addition, we generalize the well-known welfare measures of consumer and producer surplus as present value concepts and apply them not only for the production and usage of consumer goods and durables but also for money and other financial assets. This helps us, inter alia, to formalize the circumstances under which even a producer of legal tender might become insolvent. We also develop a new measure of seigniorage and demonstrate why the well-established concept of monetary seigniorage is flawed. Our framework also allows us to formulate the conditions for liability-issued money such as inside money and financial instruments such as debt certificates to become – somewhat paradoxically – net wealth of the society.
Central bank intervention in the form of quantitative easing (QE) during times of low interest rates is a controversial topic. The author introduces a novel approach to study the effectiveness of such unconventional measures. Using U.S. data on six key financial and macroeconomic variables between 1990 and 2015, the economy is estimated by artificial neural networks. Historical counterfactual analyses show that real effects are less pronounced than yield effects.
Disentangling the effects of the individual asset purchase programs, impulse response functions provide evidence for QE being less effective the more the crisis is overcome. The peak effects of all QE interventions during the Financial Crisis only amounts to 1.3 pp for GDP growth and 0.6 pp for inflation respectively. Hence, the time as well as the volume of the interventions should be deliberated.
Helmut Schlesinger: Wegbereiter und Garant der deutschen Geld- und Stabilitätspolitik wird 100
(2024)
Am 4. September 2024 vollendet Professor Dr. Helmut Schlesinger sein 100. Lebensjahr. Von 1991 bis 1993 bekleidete er das Amt des Präsidenten der Deutschen Bundesbank. Zuvor war er in verschiedenen Positionen für die Bank tätig, unter anderem als langjähriger Vizepräsident (von 1980 bis 1991) sowie als Leiter der Hauptabteilung Volkswirtschaft und Statistik. Das Jubiläum bietet Anlass, sein Lebenswerk zu beschreiben und zu würdigen. Für ehemalige Mitarbeiter war Helmut Schlesinger ein großes Vorbild und eine Quelle des Ansporns in vielerlei Hinsicht. Insbesondere vier Bereiche seiner Tätigkeiten haben die Arbeit seiner Mitarbeiter maßgeblich geprägt: Erstens seine Fähigkeit, ökonomisches Denken als eine Synthese aus Analyse und Statistik zu begreifen, zu vermitteln und zu organisieren, zweitens sein Verdienst, eine Stabilitätskultur in leitenden Positionen mitgeschaffen und bewahrt zu haben, drittens sein ordnungspolitisches Credo zur Preisstabilität und zur Unabhängigkeit der Zentralbank sowie viertens seine klaren Vorstellungen zu den Bedingungen einer erfolgreichen Europäischen Wirtschafts- und Währungsunion.
Im Folgenden soll ein Überblick über diese vier Schwerpunkte seiner Schaffensbilanz gegeben werden. In diesem Kontext ist insbesondere Schlesingers entscheidende Rolle bei der Schaffung der deutsch-deutschen Währungsunion 1990 sowie beim langjährigen Entstehungsprozess des Eurosystems und der Europäischen Zentralbank hervorzuheben. In der deutschen Bevölkerung, aber auch international hoch geachtet, wurde Helmut Schlesinger oft als die "Seele der Bundesbank" bezeichnet.Die Anforderungen, die er an jeden Einzelnen stellte, waren hoch. Er wurde von den Mitarbeitern sehr geschätzt, nicht zuletzt aufgrund seines großen Arbeitsethos und seiner unermüdlichen Schaffenskraft, die von Beständigkeit, Gradlinigkeit und Prinzipientreue geprägt waren.
This paper empirically analyses whether post-global financial crisis regulatory reforms have created appropriate incentives to voluntarily centrally clear over-the-counter (OTC) derivative contracts. We use confidential European trade repository data on single-name sovereign credit default swap (CDS) transactions and show that both seller and buyer manage counterparty exposures and capital costs, strategically choosing to clear when the counterparty is riskier. The clearing incentives seem particularly responsive to seller credit risk, which is in line with the notion that counterparty credit risk (CCR) is asymmetric in CDS contracts. The riskiness of the underlying reference entity also impacts the decision to clear as it affects both CCR capital charges for OTC contracts and central counterparty clearing house (CCP) margins for cleared contracts. Lastly, we find evidence that when a transaction helps netting positions with the CCP and hence lower margins, the likelihood of clearing is higher.
When estimating misspecified linear factor models for the cross-section of expected returns using GMM, the explanatory power of these models can be spuriously high when the estimated factor means are allowed to deviate substantially from the sample averages. In fact, by shifting the weights on the moment conditions, any level of cross-sectional fit can be attained. The mathematically correct global minimum of the GMM objective function can be obtained at a parameter vector that is far from the true parameters of the data-generating process. This property is not restricted to small samples, but rather holds in population. It is a feature of the GMM estimation design and applies to both strong and weak factors, as well as to all types of test assets.
Mitigating climate change necessitates global cooperation, yet global data on individuals’ willingness to act remain scarce. In this study, we conducted a representative survey across 125 countries, interviewing nearly 130,000 individuals. Our findings reveal widespread support for climate action. Notably, 69% of the global population expresses a willingness to contribute 1% of their personal income, 86% endorse pro-climate social norms and 89% demand intensified political action. Countries facing heightened vulnerability to climate change show a particularly high willingness to contribute. Despite these encouraging statistics, we document that the world is in a state of pluralistic ignorance, wherein individuals around the globe systematically underestimate the willingness of their fellow citizens to act. This perception gap, combined with individuals showing conditionally cooperative behaviour, poses challenges to further climate action. Therefore, raising awareness about the broad global support for climate action becomes critically important in promoting a unified response to climate change.
SAFE Update June 2024
(2024)
We study the many implications of the Eurosystem collateral framework for corporate bonds. Using data on the evolving collateral eligibility list, we identify the first inclusion dates of bonds and issuers and use these events to find that the increased supply and demand for pledgeable collateral following eligibility (a) increases activity in the corporate securities lending market, (b) lowers eligible bond yields, and (c) affects bond liquidity. Thus, corporate bond lending relaxes the constraint of limited collateral supply and thereby improves market functioning.
Wir untersuchen die regulatorischen Änderungen in der EU, die die Transparenz bei nachhaltigen Investitionen erhöhen sollen. Durch eine Untersuchung der Unterschiede zwischen ESG-Ratingagenturen bewerten wir Herausforderungen für Standardisierung und Konsens von Ratings. Unsere Analyse unterstreicht die Dringlichkeit klarerer ESG-Ratings für eine nachhaltige Invesitionslandschaft.
SAFE Update February 2024
(2024)
In times of crisis, insurance companies may invest into riskier assets to benefit from expected price recoveries. Using daily stock market data for 34 European insurers, I investigate how a stock market contraction, as experienced during the Covid-19 pandemic, affects insurers’ decision on the allocation of their corporate bond portfolio. I find that insurers shift their portfolio holdings pro-cyclically towards lower credit risk assets in the first month of the market contraction. As the crisis progresses, I find evidence for counter-cyclical investment behavior by insurers, which can neither be explained by credit rating downgrades of held bonds nor by hedging with CDS derivatives. The observed counter-cyclical investment behavior of insurers could be beneficial for the financial system in attenuating price declines, but excessive risk-taking by insurance companies over longer periods can also reinforce stress in the system.
In this study, we unpack the ESG ratings of four prominent agencies in Europe and find that (i) each single E, S, G pillar explains the overall ESG score differently,(ii) there is a low co-movement between the three E, S, G pillars and (iii) there are specific ESG Key Performance Indicators (KPIs) that are driving these ratings more than others. We argue that such discrepancies might mislead firms about their actual ESG status, potentially leading to cherry-picking areas for improvement, thus raising questions about the accuracy and effectiveness of ESG evaluations in both explaining sustainability and driving capital toward sustainable companies.
What are the aggregate and distributional consequences of the relationship be-tween an individual’s social network and financial decisions? Motivated by several well-documented facts about the influence of social connections on financial decisions, we build and calibrate a model of stock market participation with a social network that emphasizes the interplay between connectivity and network structure. Since connections to informed agents help spread information, there is a pivotal role for factors that determine sorting among agents. An increase in the average number of connections raises the average participation rate, mostly due to richer agents. A higher degree of sorting benefits richer agents by creating clusters where information spreads more efficiently. We show empirical evidence consistent with the importance of connectivity and sorting. We discuss several new avenues for future research into the aggregate impact of peer effects in finance.
Inflation and trading
(2024)
We study how investors respond to inflation combining a customized survey experiment with trading data at a time of historically high inflation. Investors' beliefs about the stock return-inflation relation are very heterogeneous in the cross section and on average too optimistic. Moreover, many investors appear unaware of inflation-hedging strategies despite being otherwise well-informed about inflation and asset returns. Consequently, whereas exogenous shifts in inflation expectations do not impact return expectations, information on past returns during periods of high inflation leads to negative updating about the perceived stock-return impact of inflation, which feeds into return expectations and subsequent actual trading behavior.
We educate investors with significant dividend holdings about the benefits of dividend reinvestment and the costs of misperceiving dividends as additional, free income. The intervention increases planned dividend reinvestment in survey responses. Using trading records, we observe a corresponding causal increase in dividend reinvestment in the field of roughly 50 cents for every euro received. This holds relative to their prior behavior and a placebo sample. Investors who learned the most from the intervention update their trading by the largest extent. The results suggest the free dividends fallacy is a significant source of dividend demand. Our study demonstrates that simple, targeted, and focused educational interventions can affect investment behavior.
Cross-predictability denotes the fact that some assets can predict other assets' returns. I propose a novel performance-based measure that disentangles the economic value of cross-predictability into two components: the predictive power of one asset's signal for other assets' returns (cross-predictive signals) and the amount of an asset's return explained by other assets' signals (cross-predicted returns). Empirically, the latter component dominates the former in the overall cross-prediction effects. In the crosssection, cross-predictability gravitates towards small firms that are strongly mispriced and difficult to arbitrage, while it becomes more difficult to cross-predict returns when market capitalization and book-to-market ratio rise.
This paper studies whether Eurosystem collateral eligibility played a role in the portfolio choices of euro area asset managers during the “dash-for-cash” episode of 2020. We find that asset managers reduced their allocation to ECB-eligible corporate bonds, selling them in order to finance redemptions, while simultaneously increasing their cash holdings. These findings add nuance to previous studies of liquidity strains and price dislocations in the corporate bond market during the onset of the Covid-19 pandemic, indicating a greater willingness of dealers to increase their inventories of corporate bonds pledgeable with the ECB. Analysing the price impact of these portfolio choices, we also find evidence pointing to price pressure for both ECB-eligible and ineligible corporate bonds. Bonds that were held to a larger extent by investment funds in our sample experienced higher price pressure, although the impact was lower for ECB-eligible bonds. We also discuss broader implications for the related policy debate about how central banks could mitigate similar types of liquidity shocks.
Kreditnehmer konzentrieren sich auf die anfängliche Hypothekenzahlung, anstatt langfristige Kosten eines Kredits zu minimieren, selbst wenn sie es sich anders leisten könnten. So können neue Finanzprodukte mit verzögerter Schuldentilgung die Bereitschaft der Haushalte zur Kreditaufnahme erheblich steigern.
SAFE Update April 2024
(2024)
We delve into the EU's regulatory changes aimed at boosting transparency in sustainable investments. By examining disparities among ESG rating agencies, we assess how these differences challenge standardization and consensus. Our analysis underscores the critical need for clearer ESG assessments to guide the sustainable investment landscape.