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Der Beitrag stellt dar, wie Online-Plattformen in den Bereichen Urheberrecht, Hassrede und Desinformation in der EU reguliert wurden. Die Analyse ergibt einen Regulierungskreislauf, der in vier Phasen ablief. Bis zum Jahrtausendwechsel war es die Legislative, die einen allgemeinen gesetzlichen Rahmen für die Online-Kommunikation in Gestalt von Äußerungsverboten und Haftungsprivilegierungen definierte. Dieser Rahmen wurde im folgenden Jahrzehnt von den Betreibern der neu entstehenden Plattformen unter Ausnutzung ihres privatautonomen Gestaltungsspielraums implementiert. In der dritten Phase ab ca. 2010 verschärften die Judikative und die Exekutive die sich aus dem allgemeinen gesetzlichen Rahmen ergebenden Mindestanforderungen an die Bekämpfung von Urheberrechtsverletzungen, Hassrede und Desinformation. In der vorläufig letzten Phase des Regulierungskreislaufs ab 2017/2018 ergriff wieder der Gesetzgeber die Initiative, indem die Standards, die in den Phasen zwei und drei entwickelt worden waren, kodifiziert und teilweise nochmals angehoben wurden. Damit ist der Kreislauf der unionalen Plattformregulierung allerdings nicht zu seinem Ende gekommen. Vielmehr ist bereits erkennbar, dass sich nun wieder eine eher experimentell-tastende Phase privatautonomer Implementierung und ko-regulativer Fortentwicklung des neuen gesetzlichen Rahmens anschließt. Der Beitrag schließt mit einer kurzen Bewertung dieser Entwicklung hin zu mehr hoheitlicher Kommunikationskontrolle.
In den letzten zwei Jahrzehnten sind Anmeldungen von Rechten des geistigen Eigentums (intellectual property, IP) bzw. Verletzungsklagen wiederholt an der unzureichenden Bestimmtheit des exklusiv beanspruchten Gegenstands gescheitert. Ihren Ausgang nahm diese Entwicklung im Markenrecht mit Entscheidungen des EuGH (Stichworte: Sieckmann, Heidelberger Bauchemie, Dyson, IP Translator, Oy Hartwall) und später auch des BGH (Stichwort: UHU). Die markenrechtlichen Grundsätze strahlten auf das Designrecht (Stichworte: Sporthelm, Mast-Jägermeister) und zuletzt auch auf das Urheberrecht (Stichwort: Levola) aus. Im Folgenden werden die maßgeblichen Urteile zur Schutzfähigkeit von Zeichen, Designs und Werken zusammengetragen und systematisiert. Dabei treten zwei Aspekte eines Bestimmtheitsgebots zu Tage, die, wie abschließend zu zeigen sein wird, auch im Patentrecht gelten
Der Beitrag nimmt kritisch zum gegenwärtig anhängigen EU-Gesetz über digitale Dienste (Digital Services Act, DSA) Stellung. Die Kernthese lautet: Big Tech muss reguliert werden, aber nicht wie im DSA vorgesehen. Zur Untermauerung dieser Position werden fünf grundlegend problematische Aspekte des DSA benannt. Es wird gezeigt, dass die derzeit verhandelten Fassungen des DSA (1) die Vertragsfreiheit nicht kommunikationsmächtiger Vermittlungsdienste missachten, (2) automatisiertes Overblocking begünstigen, (3) auch legale, aber in unspezifischer Weise „schädliche“ Äußerungen ins Visier nehmen, (4) einen vagen und für die Kommunikationsregulierung generell unpassenden Risikopräventionsansatz verfolgen und (5) eine Kommunikationsüberwachungsbürokratie errichten, die ihrerseits keinen zureichenden öffentlich-demokratischen Kontrollen unterliegt. Als Reaktion auf diese Befunde wird vorgeschlagen, (1) nur sehr großen Online-Plattformen inhaltliche Vorgaben im Hinblick auf ihre AGB zu machen, (2) die Verpflichtung/Berechtigung zum Einsatz automatischer Moderationssysteme auf offensichtlich rechtswidrige Inhalte zu beschränken, (3) im DSA auch keine indirekten Pflichten zur Unterdrückung legaler, aber „schädlicher“ Inhalte vorzusehen, (4) das systemische Risiko des Art. 26 Abs. 1 Buchst. c DSA ersatzlos zu streichen und (5) die DSA-Bürokratie staatsfern auszugestalten und einer parlamentarischen Kontrolle zu unterwerfen.
Der Beitrag bietet eine Übersicht der unionalen und deutschen Rechtsbegriffe zur Bezeichnung von Diensten im Bereich der Informations- und Kommunikationstechnik (IKT). Neben Rechtsquellen der ersten Regulierungsgeneration (insbes. E-Commerce- und InfoSoc-Richtlinie) werden 26 Gesetze bzw. Gesetzesvorschläge aus den letzten fünf Jahren in die Bestandsaufnahme einbezogen. Die einzelnen Dienstebegriffe werden erläutert und nach Maßgabe ihrer technisch-sozialen Funktion klassifiziert. Die vergleichende Analyse arbeitet Unterschiede und Überschneidungen sowie allgemeine dogmatische Grundsätze heraus, etwa zur Beurteilung multifunktionaler Dienste. Besonderes Augenmerk gilt Diensten wie sozialen Netzwerken und Messengern, deren juristische Einordnung ungeklärt ist. Der Beitrag schließt mit begrifflichen Reformvorschlägen für das künftige Digitalrecht.
Der Beitrag bietet einen Überblick über den entstehungsgeschichtlichen Hintergrund sowie den Inhalt des ursprünglichen Netzwerkdurchsetzungsgesetzes (NetzDG) 2017, seine Wirkungen in der Praxis und die Änderungen durch die NetzDG-Reform 2021. Es wird gezeigt, dass aus einem Regelwerk mit engem Fokus auf die Durchsetzung des Strafrechts in OnlineNetzwerken ein Plattformregulierungsgesetz wurde, das sowohl Löschgebote (Strafrecht) als auch Löschverbote (Meinungsfreiheit) prozeduralisiert. Während das NetzDG 2017 keinen nennenswerten Niederschlag in gerichtlichen oder behördlichen Entscheidungen fand und inzwischen auch kaum noch eine Rolle in der Löschpraxis der Netzwerke spielt, dürfte es dazu beigetragen haben, dass die Netzwerkbetreiber ihre privaten Kommunikationsregeln verschärft haben. Hintergrund für diese „Flucht in die AGB“ ist, dass die großen Netzwerkbetreiber und der Gesetzgeber dasselbe Nahziel verfolgen: Einer Verrohung der Debattenkultur soll aus ökonomischen bzw. gesellschaftspolitischen Gründen entgegengewirkt werden. Der Beitrag schließt mit einem Ausblick auf den Digital Services Act (DSA), mit dem der Compliance-Ansatz des NetzDG europäisiert würde.
Im Zuge der fortlaufenden Digitalisierung im Mobilitätssektor werden aktuell besonders in Großstädten verstärkt geteilte on-demand Fahrdienstleistungen implementiert. Das sog. Ridepooling beschreibt eine dynamische und digitale Form des konventionellen Sammeltaxis, bei welcher durch eine intelligente Algorithmik mehrere voneinander unabhängige, zeitlich korrespondierende Fahrtwünsche in Echtzeit zu einer Route kombiniert werden. So können einander unbekannte Kund*innen gemeinsam und gleichzeitig nach ihren individuellen Bedürfnissen auf Direktverbindungen befördert werden. Viele der Ridepooling-Angebote werden in urban geprägten Raumstrukturen von privaten Verkehrsunternehmen - teilweise sogar eigenwirtschaftlich - betrieben und als nachhaltige Mobilitätsform beworben: Sie soll die sich individualisierenden Mobilitätsbedürfnisse der Bürger*innen befriedigen, dadurch städtische Problematiken wie hohe Luft- und Lärmbelastung, Staubildung sowie Flächenknappheit adressieren und zu einer umweltfreundlichen Verlagerung des lokalen Verkehrsaufkommens (Modal Shift) führen.
Die vorliegende Arbeit untersucht am Beispiel der Großstädte Berlin und Hamburg, wie und unter welchen Zielsetzungen der unterschiedlichen Akteure die neuen Angebotsformen implementiert wurden und welche Auswirkungen sie auf die städtischen Mobilitätssysteme haben.
Durch Expert*innen-Interviews mit städtischen Behörden, öffentlichen und privaten Verkehrsunternehmen, Verkehrsverbünden und Expert*innen für digitale und städtische Mobilität soll der aktuell noch geringe Forschungsstand über die Zielsetzungen, Formen und Auswirkungen von Ridepooling-Angeboten in städtischen Räumen um praxisnahe Betrachtungen und Erkenntnisse erweitert werden. Es kann angenommen werden, dass die unterschiedlichen Ausgestaltungen der untersuchten Angebote von ioki, CleverShuttle, MOIA und BerlKönig dabei durchaus voneinander differierende Effekte auf das Nutzungsverhalten der Kund*innen und die städtische Verkehrsgestaltung sowie deren ökologischen und sozialen Nachhaltigkeitsdimensionen haben.
Im Januar 2020 änderte sich für viele Menschen die bis dahin gekannte Normalität durch das Aufkommen des Covid-19-Virus. Dies äußerte sich in einem gravierenden Einfluss auf die physische Mobilität und führte zu einer teilweisen Verlagerung in die virtuelle Mobilität. Angelehnt an die in dieser Arbeit dargestellten Forschungsansätze ist festzustellen, dass ein kausaler Zusammenhang zwischen eingeschränkter Mobilität und sozialer Exklusion von sozialer, politischer, ökonomischer sowie persönlicher Partizipation besteht. Diese Korrelation unter pandemischen Bedingungen wurde zum Zeitpunkt der Analyse kaum untersucht, weshalb es die Zielsetzung dieser Arbeit war, die Thematisierung der Einschränkungen mobilitätsbedingter sozialer Teilhabe durch die Covid-19-Pandemie im medialen Diskurs zu erörtern.
Die quantitative Analyse der drei Zeitungen Frankfurter Allgemeine Zeitung, Süddeutsche Zeitung und Die Zeit ergab, dass die mediale Auseinandersetzung mit dem Untersuchungsgegenstand nur einen marginalen Teil der Artikel prägt und damit eine Randnotiz der Gesellschaft darstellt. Die darauffolgende qualitative Inhaltsanalyse der thematisch passenden Zeitungsartikel lassen auf die Notwendigkeit einer Erweiterung der existierenden theoretischen Exklusionsdimensionen schließen. Grund dafür sind das Auftreten einer Infektionsangst sowie einer neuen Reichweite der Digitalisierung als grundlegende Exklusionsstrukturen während der Pandemie. Insbesondere in der Entscheidung um den Umgang mit dem ÖPNV spiegeln sich vielfältige gesellschaftliche Fragen um Sicherheit und Gesundheitsschutz, aber auch um soziale Teilhabe und Zugang.
Mit dem Ziel, Erkenntnisse darüber zu gewinnen unter welchen Umständen verkehrspolitische Maßnahmen seitens der Bevölkerung befürwortet und angenommen werden, wurde im Hebst 2020 eine quantitative Haushaltsbefragung (N = 832) in vier Frankfurter Befragungsgebieten durchgeführt. Als Untersuchungsgegenstand wurde die Umwandlung von Auto- in Fahrradspuren ausgewählt – eine Maßnahme, die in Folge des Frankfurter Radentscheids entlang verschiedener Verkehrsachsen in Frankfurt geplant und teilweise bereits umgesetzt wurde. Dabei wurde deutlich, dass die Akzeptierbarkeit für die zukünftige Umsetzung einer solchen Maßnahme zur Neuaufteilung öffentlicher Räume in Frankfurt insgesamt sehr hoch ausfällt. Unter Heranziehung des stage model of self-regulated behavioural change (SSBC) konnte zudem aufgezeigt werden, dass sich eine starke Orientierung am Auto negativ auf die Höhe der Akzeptierbarkeit auswirkt, während eine regelmäßige Nutzung des Fahrrads höhere Zustimmungswerte für die Maßnahme hervorruft. In einem zweiten Schritt wurde weiterhin untersucht, inwiefern die bereits umgewandelten Radspuren zwischen der Alten Brücke am Main und dem Friedberger Platz im Frankfurter Nordend, eine Veränderung in der Wahrnehmung und Verkehrsmittelnutzung der Befragten begünstigen und somit auch wirksam sind. Dabei wurde mitunter ersichtlich, dass es seit der Umwandlung sowohl zu einer gesteigerten Fahrradnutzung als auch zu einer reduzierten Autonutzung entlang der umgewidmeten Strecke gekommen ist.
Global consensus is growing on the contribution that corporations and finance must make towards the net-zero transition in line with the Paris Agreement goals. However, most efforts in legislative instruments as well as shareholder or stakeholder initiatives have ultimately focused on public companies.
This article argues that such a focus falls short of providing a comprehensive approach to the problem of climate change. In doing so, it examines the contribution of private companies to climate change, the relevance of climate risks for them, as well as the phenomenon of brown-spinning (ie, the practice of public companies selling their highly polluting assets to private companies). We show that one cannot afford to ignore private companies in the net-zero transition and climate change adaptation. Yet, private companies lack several disciplining mechanisms that are available to public companies, such as institutional investor engagement, certain corporate governance arrangements, and transparency through regular disclosure obligations. At this stage, only some generic regulatory instruments such as carbon pricing and environmental regulation apply to them.
The article closes with a discussion of the main policy implications. Primarily, we discuss and evaluate the recent push to extend climate-related disclosure requirements to private companies. These disclosures would not only help investors by addressing information asymmetry, but also serve a wide group of stakeholders and thus aim at promoting a transition to a greener economy.
To ensure the credibility of market discipline induced by bail-in, neither retail investors nor peer banks should appear prominently among the investor base of banks’ loss absorbing capital. Empirical evidence on bank-level data provided by the German Federal Financial Supervisory Authority raises a few red flags. Our list of policy recommendations encompasses disclosure policy, data sharing among supervisors, information transparency on holdings of bail-inable debt for all stakeholders, threshold values, and a well-defined upper limit for any bail-in activity. This document was provided by the Economic Governance Support Unit at the request of the ECON Committee.
The European Central Bank (ECB) recently proclaimed a more active role for itself in the fight against climate change. Did the European Parliament (EP) play a part in this regard, and if so what was it? To answer this question, this paper builds on a multi-method text analysis of original datasets compiling communications between the ECB and the EP across three accountability forums between 2014 and 2021. The paper shows that there has been discursive convergence between central bankers and parliamentarians concerning the role of the ECB in combatting climate change. It argues that this convergence has resulted from a pragmatic (yet precarious) adoption of a common repertoire1 between ‘green’ central bankers and parliamentarians who have favored a more active role for the ECB in the fight against climate change. The adoption of a common repertoire is pragmatic, in that it results from the strategic use of specific discursive elements that are ambitious enough to address their respective opponents and trigger political change, yet vague enough to allow both sets of actors to converge on them momentarily. It is also precarious in the sense that it involves discarding fundamental political tensions, which is hardly tenable in the long term. The paper shows that both organizational and politicization dynamics have been at work in the emergence of this pragmatic yet precarious bedfellowship between ‘green’ central bankers and parliamentarians.
This briefing paper describes and evaluates the law and economics of institution(al) protection schemes. Throughout our analysis, we use Europe’s largest such scheme, that of German savings banks, as paradigm. We find strengths and weaknesses: Strong network-internal monitoring and early warning seems to be an important contributor to IPS network success. Similarly, the geographical quasi-cartel encourages banks to build a strong client base, including SME, in all regions. Third, the growth of the IPS member institutions may have benefitted from the strictly unlimited protection offered, in terms of euro amounts per account holder. The counterweighing weaknesses encompass the conditionality of the protection pledge and the underinvestment risk it entails, sometimes referred to as blackmailing the government, as well as the limited diversification potential of the deposit insurance within the network, and the near-incompatibility of the IPS model with the provisions of the BRRD, particularly relating to bail-in and resolution. Consequently, we suggest, as policy guidance, to treat large IPS networks similar to large banking groups, and put them as such under the direct supervision of the ECB within the SSM. Moreover, we suggest strengthening the seriousness of a deposit insurance that offers unlimited protection. Finally, to improve financial stability, we suggest embedding the IPS model into a multi-tier deposit re-insurance scheme, with a national and a European layer. This document was provided by the Economic Governance Support Unit at the request of the ECON Committee.
This paper studies the interactions between corporate law and VC exits by acquisitions, an increasingly common source of VC-related litigation. We find that transactions by VC funds under liquidity pressure are characterized by (i) a substantially lower sale price; (ii) a greater probability of industry outsiders as acquirers; (iii) a positive abnormal return for acquirers. These features indicate the existence of fire sales, which satisfy VCs' liquidation preferences but hurt common shareholders, leaving board members with conflicting fiduciary duties and litigation risks. Exploiting an important court ruling that establishes the board’s fiduciary duties to common shareholders as a priority, we find that after the ruling maturing VCs become less likely to exit by fire sales and they distribute cash to their investors less timely. However, VCs experience more difficult fundraising ex-ante, highlighting the potential cost of a common-favoring regime. Overall the evidence has important implications for optimal fiduciary duty design in VC-backed start-ups.
We estimate the cost of cultural biases in high-stake economic decisions by comparing agents’ peer-to-peer lending choices with those the same agents make under the assistance of an automated robo-advisor. We first confirm substantial in-group vs. out-group and stereotypical discrimination, which are stronger for lenders who reside where historical cultural biases are higher. We then exploit our unique setting to document that cultural biases are costly: agents face 8% higher default rates on favored-group borrowers when unassisted. The returns they earn on favored groups increase by 7.3 percentage points when assisted. The high riskiness of the marginal borrowers from favorite groups largely explains the bad performance of culturally-biased choices. Because varying economic incentives do not reduce agents’ biases, inaccurate statistical discrimination—unconscious biased beliefs about borrowers’ quality—can explain our results better than taste-based discrimination.
Prospective welfare analysis - extending willingness-to-pay assessment to embrace sustainability
(2022)
In this paper we outline how a future change in consumers’ willingness-to-pay can be accounted for in a consumer welfare effects analysis in antitrust. Key to our solution is the prediction of preferences of new consumers and changing preferences of existing consumers in the future. The dimension of time is inextricably linked with that of sustainability. Taking into account the welfare of future cohorts of consumers, concerns for sustainability can therefore be integrated into the consumer welfare paradigm to a greater extent. As we argue in this paper, it is expedient to consider changes in consumers’ willingness-to-pay, in particular if society undergoes profound changes in such preferences, e.g., caused by an increase in generally available information on environmental effects of consumption, and a rising societal awareness about how consumption can have irreversible impacts on the environment. We offer suggestions on how to conceptionalize and operationalize the projection of such consumers’ changing preferences in a “prospective welfare analysis”. This increases the scope of the consumer welfare paradigm and can help to solve conceptual issues regarding the integration of sustainability into antitrust enforcement while keeping consumer surplus as a quantitative gauge.
Since the 2008 financial crisis, European largest banks’ size and business models have largely remained unchallenged. Is that because of banks’ continued structural power over States? This paper challenges the view that States are sheer hostages of banks’ capacity to provide credit to the real economy – which is the conventional definition of structural power. Instead, it sheds light on the geo-economic dimension of banks’ power: key public officials conceive the position of “their own” market-based banks in global financial markets as a crucial dimension of State power. State priority towards banking thus result from political choices over what structurally matters the most for the State. Based on a discourse analysis of parliamentary debates in France, Germany and Spain between 2010 and 2020 as well as on a comparative analysis of the implementation of a special tax on banks in the early 2010s, this paper shows that State’s Finance ministries tend to prioritize geo-economic considerations over credit to firms. By contrast, Parliaments tend to prioritize investment. Power dynamics within the State thus largely shape political priorities towards banking at the domestic and international levels.
We provide the first comprehensive analysis of option information for pricing the cross-section of stock returns by jointly examining extensive sets of firm and option characteristics. Using portfolio sorts and high-dimensional methods, we show that certain option measures have significant predictive power, even after controlling for firm characteristics, earning a Fama-French three-factor alpha in excess of 20% per annum. Our analysis further reveals that the strongest option characteristics are associated with information about asset mispricing and future tail return realizations. Our findings are consistent with models of informed trading and limits to arbitrage.
The transition to a sustainable economy currently involves a fundamental transformation of our capital markets. Lawmakers, in an attempt to overcome this challenge, frequently seek to prescribe and regulate how firms may address environmental, social, and governance (ESG) concerns by formulating conduct standards. Deviating from this conceptual starting point, the present paper makes the case for another path towards achieving greater sustainability in capital markets, namely through the empowerment of investors.
This trust in the market itself is grounded in various recent developments both on the supply side and the demand side of financial markets, and also in the increasing tendency of institutional investors to engage in common ownership. The need to build coalitions among different types of asset managers or institutional investors, and to convince fellow investors of a given initiative, can then act as an in-built filter helping to overcome the pursuit of idiosyncratic motives and supporting only those campaigns that are seconded by a majority of investors. In particular, institutionalized investor platforms have emerged over recent years as a force for investor empowerment, serving to coordinate investor campaigns and to share the costs of engagement.
ESG engagement has the potential to become a very powerful driver towards a more sustainability-oriented future. Indeed, I show that investor-led sustainability has many advantages compared to a more prescriptive, regulatory approach where legislatures are in the driver’s seat. For example, a focus on investor-led priorities would follow a more flexible and dynamic pattern rather than complying with inflexible pre-defined criteria. Moreover, investor-promoted assessments are not likely to impair welfare creation in the same way as ill-defined legal standards; they will also not trigger regulatory arbitrage and would avoid deadlock situations in corporate decision-making. Any regulatory activity should then be limited to a facilitative and supportive role.
Trust between parties should drive contract design: if parties were suspicious about each others’ reaction to unplanned events, they might agree to pay higher costs of negotiation ex ante to complete contracts. Using a unique sample of U.S. consulting contracts and a negative shock to trust between shareholders/managers (principals) and consultants (agents) staggered across space and over time, we find that lower trust increases contract completeness. Not only the complexity but also the verifiable states of the world covered by contracts increase after trust drops. The results hold for several novel text-analysis-based measures of contract completeness and do not arise in falsification tests. At the clause level, we find that non-compete agreements, confidentiality, indemnification, and termination rules are the most likely clauses added to contracts after a negative shock to trust and these additions are not driven by new boilerplate contract templates. These clauses are those whose presence should be sensitive to the mutual trust between principals and agents.
The article studies civil wars and trust dynamics from two perspectives. It looks, first, at rebel governance during ongoing armed conflict and, second, at mass mobilisation against the regime in post-conflict societies. Both contexts are marked by extraordinarily high degrees of uncertainty given continued, or collective memory of, violence and repression.
But what happens to trust relations under conditions of extreme uncertainty? Intuitively, one would assume that trust is shaken or even substantially eroded in such moments, as political and social orders are questioned on a fundamental level and threaten to collapse. However, while it is true that some forms of trust are under assault in situations of civil war and mass protests, we find empirical evidence which suggests that these situations also give rise to the formation of other kinds of trust. We argue that, in order to detect and explain these trust dynamics in contexts of extreme uncertainty, there should be more systematic studies of: (a) synchronous dynamics between different actors and institutions which imply trust dynamics happening simultaneously, (b) diachronous dynamics and the sequencing of trust dynamics over several phases of violent conflict or episodes of contention, as well as long-term structural legacies of the past. In both dimensions, microlevel relations, as well as their embeddedness in larger structures, help explain how episodes of (non-)violent contention become a critical juncture for political and social trust.
Venture capital (VC) funds backed by large multi-fund families tend to perform substantially better due to cross-fund cash flows (CFCFs), a liquidity support mechanism provided by matching distributions and capital calls within a VC fund family. The dynamics of this mechanism coincide with the sensitivity of different stage projects owing to market liquidity conditions. We find that the early-stage funds demand relatively more intra-family CFCFs than later-stage funds during liquidity stress periods. We show that the liquidity improvement based on the timing of CFCF allocation reflects how fund families arrange internal liquidity provision and explains a large part of their outperformance.
Financial ties between drug companies and medical researchers are thought to bias results published in medical journals. To enable readers to account for such bias, most medical journals require authors to disclose potential conflicts of interest. For such policies to be effective, conflict disclosure must modify readers’ beliefs. We therefore examine whether disclosure of financial ties with industry reduces article citations, indicating a discount. A challenge to estimating this effect is selection as drug companies may seek out higher quality authors as consultants or fund their studies, generating a positive correlation between disclosed conflicts and citations. Our analysis confirms this positive association. Including observable controls for article and author quality attenuates but does not eliminate this relation. To tease out whether other researchers discount articles with conflicts, we perform three tests. First, we show that the positive association is weaker for review articles, which are more susceptible to bias. Second, we examine article recommendations to family physicians by medical experts, who choose from articles that are a priori more homogenous in quality. Here, we find a significantly negative association between disclosure and expert recommendations, consistent with discounting. Third, we conduct an analysis within author and article, exploiting journal policy changes that result in conflict disclosure by an author. We examine the effect of this disclosure on citations to a previously published article by the same author. This analysis reveals a negative citation effect. Overall, we find evidence that disclosures negatively affect citations, consistent with the notion that other researchers discount articles with disclosed conflicts.
The author proposes a Differential-Independence Mixture Ensemble (DIME) sampler for the Bayesian estimation of macroeconomic models.It allows sampling from particularly challenging, high-dimensional black-box posterior distributions which may also be computationally expensive to evaluate. DIME is a “Swiss Army knife”, combining the advantages of a broad class of gradient-free global multi-start optimizers with the properties of a Monte Carlo Markov chain (MCMC). This includes fast burn-in and convergence absent any prior numerical optimization or initial guesses, good performance for multimodal distributions, a large number of chains (the “ensemble”) running in parallel, an endogenous proposal density generated from the state of the full ensemble, which respects the bounds of the prior distribution. The author shows that the number of parallel chains scales well with the number of necessary ensemble iterations.
DIME is used to estimate the medium-scale heterogeneous agent New Keynesian (“HANK”) model with liquid and illiquid assets, thereby for the first time allowing to also include the households’ preference parameters. The results mildly point towards a less accentuated role of household heterogeneity for the empirical macroeconomic dynamics.
Based on recent records, 89 lichen species are reported as new to Brazil. For the genera Ancistrosporella, Jamesiella, Lambiella, Paulia, Polyblastia, Porocyphus, and Trimmatothele, it is the first time they are reported from Brazil. Many more, in total 523 species, are newly reported from individual states.
Three new species of Catillochroma are described, viz. C. danfordianum Kalb and C. mareebaense Kalb, both from Queensland, Australia, and C. phayapipakianum Kalb from Chiang Rai Province, Thailand. Eight species are transferred to Catillochroma, viz. C. alleniae, C. alligatorense, C. beechingii, C. bicoloratum, C. coralloideum, C. flavosorediatum, C. hainanese and C. yunnanense. Habit photographs of the new and some other species, mentioned in the text are provided.
European banks have substantial investments in assets that are
measured without directly observable market prices (mark-to-
model). Financial disclosures of these value estimates lack
standardization and are hard to compare across banks. These
comparability concerns are concentrated in large European
banks that extensively rely on level 3 estimates with the most
unobservable inputs. Although the relevant balance sheet
positions only represent a small fraction of these large banks’
total assets (2.9%), their value equals a significant fraction of core
equity tier 1 (48.9%). Incorrect valuations thus have a potential to
impact financial stability. 85% of these bank assets are under
direct ECB supervision. Prudential regulation requires value
adjustments that are apt to shield capital against valuation risk.
Yet, stringent enforcement is critical for achieving this objective.
This document was provided by the Economic Governance
Support Unit at the request of the ECON Committee.
The great financial crisis and the euro area crisis led to a substantial reform of financial safety nets across Europe and – critically – to the introduction of supranational elements. Specifically, a supranational supervisor was established for the euro area, with discrete arrangements for supervisory competences and tasks depending on the systemic relevance of supervised credit institutions. A resolution mechanism was created to allow the frictionless resolution of large financial institutions. This resolution mechanism has been now complemented with a funding instrument.
While much more progress has been achieved than most observers could imagine 12 years ago, the banking union remains unfinished with important gaps and deficiencies. The experience over the past years, especially in the area of crisis management and resolution, has provided impetus for reform discussions, as reflected most lately in the Eurogroup statement of 16 June 2022.
This Policy Insight looks primarily at the current and the desired state of the banking union project. The key underlying question, and the focus here, is the level of ambition and how it is matched with effective legal and regulatory tools. Specifically, two questions will structure the discussions:
What would be a reasonable definition and rationale for a ‘complete’ banking union? And what legal reforms would be required to achieve it?
Banking union is a case of a new remit of EU-level policy that so far has been established on the basis of long pre-existing treaty stipulations, namely, Article 127(6) TFEU (for banking supervision) and Article 114 TFEU (for crisis management and deposit insurance). Could its completion be similarly carried out through secondary law? Or would a more comprehensive overhaul of the legal architecture be required to ensure legal certainty and legitimacy?
This article compares the three initial safety nets spanned by the European Union in response to the Covid-19 crisis: SURE, the Pandemic Crisis Support, and the European Guarantee Fund. It compares their design regarding scope, generosity, target groups, implementation, the types of solidarity and conditionality, and asks how they reflect on core-periphery relations in the EU. The article finds that the most important factor in all three instruments is risk-sharing between member states, even though SURE and the EGF display elements of fiscal solidarity. Finally, the article shows that Euro crisis countries from the South are the main recipients of financial aid, while Central and East European countries receive significantly less assistance and core countries in the North and West have no need for them.
Die notwendige ökologische Transformation aber auch darüberhinausgehend die zunehmenden Erwartungen, die Gesellschaft und Politik an die Wirtschaft stellen, erfordern eine Prüfung des Wettbewerbsrechts und seiner Durchsetzung, insbesondere auch der dabei verwendeten (ökonomischen) Konzepte und Methoden, dahingehend, ob die aktuelle Praxis nicht einer stärkeren Berücksichtigung von Nachhaltigkeitszielen in unbegründeter Weise im Wege steht. Auf europäischer Ebene hat der Diskurs darüber im Jahr 2021 erheblich an Fahrt gewonnen. Wir stellen wesentliche Initiativen dar. Dabei zeigt sich unseres Erachtens allerdings auch, dass für eine konstruktive Weiterentwicklung noch die nötigen konzeptionellen und methodischen Grundlagen fehlen.
Linear rational-expectations models (LREMs) are conventionally "forwardly" estimated as follows. Structural coefficients are restricted by economic restrictions in terms of deep parameters. For given deep parameters, structural equations are solved for "rational-expectations solution" (RES) equations that determine endogenous variables. For given vector autoregressive (VAR) equations that determine exogenous variables, RES equations reduce to reduced-form VAR equations for endogenous variables with exogenous variables (VARX). The combined endogenous-VARX and exogenous-VAR equations comprise the reduced-form overall VAR (OVAR) equations of all variables in a LREM. The sequence of specified, solved, and combined equations defines a mapping from deep parameters to OVAR coefficients that is used to forwardly estimate a LREM in terms of deep parameters. Forwardly-estimated deep parameters determine forwardly-estimated RES equations that Lucas (1976) advocated for making policy predictions in his critique of policy predictions made with reduced-form equations.
Sims (1980) called economic identifying restrictions on deep parameters of forwardly-estimated LREMs "incredible", because he considered in-sample fits of forwardly-estimated OVAR equations inadequate and out-of-sample policy predictions of forwardly-estimated RES equations inaccurate. Sims (1980, 1986) instead advocated directly estimating OVAR equations restricted by statistical shrinkage restrictions and directly using the directly-estimated OVAR equations to make policy predictions. However, if assumed or predicted out-of-sample policy variables in directly-made policy predictions differ significantly from in-sample values, then, the out-of-sample policy predictions won't satisfy Lucas's critique.
If directly-estimated OVAR equations are reduced-form equations of underlying RES and LREM-structural equations, then, identification 2 derived in the paper can linearly "inversely" estimate the underlying RES equations from the directly-estimated OVAR equations and the inversely-estimated RES equations can be used to make policy predictions that satisfy Lucas's critique. If Sims considered directly-estimated OVAR equations to fit in-sample data adequately (credibly) and their inversely-estimated RES equations to make accurate (credible) out-of-sample policy predictions, then, he should consider the inversely-estimated RES equations to be credible. Thus, inversely-estimated RES equations by identification 2 can reconcile Lucas's advocacy for making policy predictions with RES equations and Sims's advocacy for directly estimating OVAR equations.
The paper also derives identification 1 of structural coefficients from RES coefficients that contributes mainly by showing that directly estimated reduced-form OVAR equations can have underlying LREM-structural equations.
Today in the United States, the notion that ‘the rise of the far right’ poses the greatest threat to democratic values, and by extension, to the nation itself, has slowly entered into common sense. The antecedent of this development is the object of our study. Explored through the prism of what we refer to as the domestication of the War on Terror, this publication adopts and updates the theoretical approach first forwarded in Policing the Crisis: Mugging, the State, the Law and Order (Hall et al. 1978). Drawing on this seminal work, a sequence of three disparate media events are explored as they unfold in the United States in mid-2015: the rise of the Trump campaign; the release of an op-ed in The New York Times warning of a rise in right-wing extremsim; and a mass shooting at a historic African American church in Charleston, South Carolina. By the end of 2015, as these disparate events converge into what we call the public face of the rise of the far right phenomenon, we subsequently turn our attention to its origins in policing and the law in the wake of the global War on Terror and the Great Recession. It is only from there, that we turn our attention to the poltical class struggle as expressed in the rise of 'populism' on the one hand, and the domestication of the War on Terror on the other, and in doing so, attempt to situate the role of the rise of the far right phenomenon within it.
In more and more situations, artificially intelligent algorithms have to model humans’ (social) preferences on whose behalf they increasingly make decisions. They can learn these preferences through the repeated observation of human behavior in social encounters. In such a context, do individuals adjust the selfishness or prosociality of their behavior when it is common knowledge that their actions produce various externalities through the training of an algorithm? In an online experiment, we let participants’ choices in dictator games train an algorithm. Thereby, they create an externality on future decision making of an intelligent system that affects future participants. We show that individuals who are aware of the consequences of their training on the pay- offs of a future generation behave more prosocially, but only when they bear the risk of being harmed themselves by future algorithmic choices. In that case, the externality of artificially intelligence training induces a significantly higher share of egalitarian decisions in the present.
Large technology firms («BigTechs») increasingly extend their influence in finance, primarily taking over market shares in payment services. A further expansion of their businesses into the territory of cryptocurrencies could entail new and unprecedented risks for the future, namely for financial stability, competition in the private sector and monetary policy. When creating a regulatory toolbox to address these risks, financial regulatory, antitrust, and platform-specific solutions should be closely intertwined in order to fully absorb all the potential threats and to take account of the complex risks these platform companies bear. This policy letter evaluates the solutions lately proposed by the European Commission, with specific focus on the upcoming regulation of Markets in crypto-assets (MiCA), but also the Digital Markets Act (DMA) and Digital services act (DSA), against the background of cryptocurrencies issued by BigTechs and sheds light on financial regulatory, competition and monetary law issues coming along with the possible designs of these cryptocurrencies.
This policy letter collects elementary economic statistics and provides a very basic look on Russian public finances (i) to inform the reader’s opinion on a possible planning process behind the war against Ukraine and (ii) to discuss prospects of an energy embargo and its capability to affect the stability of the Russian economy.
Using granular supervisory data from Germany, we investigate the impact of unconventional monetary policies via central banks’ purchase of corporate bonds. While this policy results in a loosening of credit market conditions as intended by policy makers, we document two unintended side effects. First, banks that are more exposed to borrowers benefiting from the bond purchases now lend more to high-risk firms with no access to bond markets. Since more loan write-offs arise from these firms and banks are not compensated for this risk by higher interest rates, we document a drop in bank profitability. Second, the policy impacts the allocation of loans among industries. Affected banks reallocate loans from investment grade firms active on bond markets to mainly real estate firms without investment grade rating. Overall, our findings suggest that central banks’ quantitative easing via the corporate bond markets has the potential to contribute to both banking sector instability and real estate bubbles.
Financial literacy affects wealth accumulation, and pension planning plays a key role in this relationship. In a large field experiment, we employ a digital pension aggregation tool to confront a treatment group with a simplified overview of their current pension claims across all pillars of the pension system. We combine survey and administrative bank data to measure the effects on actual saving behavior. Access to the tool decreases pension uncertainty for treated individuals. Average savings increase - especially for the financially less literate. We conclude that simplification of pension information can potentially reduce disparities in pension planning and savings behavior.
The financial sector plays an important role in financing the green transformation of the European economy. A critical assessment of the current regulatory framework for sustainable finance in Europe leads to ambiguous results. Although the level of transparency on ESG aspects of financial products has been significantly improved, it is questionable whether the complex, mainly disclosure-oriented architecture is sufficient to mobilise more private capital into sustainable investments. It should be discussed whether a minimum Taxonomy ratio or Green Asset Ratio has to be fulfilled to market a financial product as “green”. Furthermore, because of the high complexity of the regulation, it could be helpful for the understanding of private investors to establish a simplified green rating, based on the Taxonomy ratio, to facilitate the selection of green financial products.
This policy note summarizes our assessment of financial sanctions against Russia. We see an increase in sanctions severity starting from (1) the widely discussed SWIFT exclusions, followed by (2) blocking of correspondent banking relationships with Russian banks, including the Central Bank, alongside secondary sanctions, and (3) a full blacklisting of the ‘real’ export-import flows underlying the financial transactions. We assess option (1) as being less impactful than often believed yet sending a strong signal of EU unity; option (2) as an effective way to isolate the Russian banking system, particularly if secondary sanctions are in place, to avoid workarounds. Option (3) represents possibly the most effective way to apply economic and financial pressure, interrupting trade relationships.
In the aftermath of the Wirecard scandal the German lead stock market index DAX has undergone a series of reforms, including the introduction of a profitability criterion based on EBITDA for new DAX members and enhanced financial reporting requirements with specified sanctions for non-compliance. Furthermore, DAX members need to adhere to certain provisions in the German Corporate Governance Code relating to audit committees. The final step of the reform was implemented in September 2021: the extension of the DAX from 30 to 40 constituents, with the ranking based solely on the free float market capitalisation. After one year of experience with the new design of the DAX, this paper concludes that the reform has strengthened the DAX in terms of diversification, quality and adaptability. However, there is still room for further improvement by introducing a minimum ESG score for DAX companies and thus making sustainability a relevant factor in the selection process. In addition, full compliance with the recommendations of the German Corporate Governance Code should be a condition for DAX companies. Furthermore, the profitability criterion should be applied on a continuous basis to ensure that loss-making companies can be excluded from the DAX after a grace period.
For the academic audience, this paper presents the outcome of a well-identified, large change in the monetary policy rule from the lens of a standard New Keynesian model and asks whether the model properly captures the effects. For policymakers, it presents a cautionary tale of the dismal effects of ignoring basic macroeconomics. The Turkish monetary policy experiment of the past decade, stemming from a belief of the government that higher interest rates cause higher inflation, provides an unfortunately clean exogenous variance in the policy rule. The mandate to keep rates low, and the frequent policymaker turnover orchestrated by the government to enforce this, led to the Taylor principle not being satisfied and eventually a negative coeffcient on inflation in the policy rule. In such an environment, was the exchange rate still a random walk? Was inflation anchored? Does the “standard model”” suffice to explain the broad contours of macroeconomic outcomes in an emerging economy with large identifying variance in the policy rule? There are no surprises for students of open-economy macroeconomics; the answers are no, no, and yes.
Despite the impressive success of deep neural networks in many application areas, neural network models have so far not been widely adopted in the context of volatility forecasting. In this work, we aim to bridge the conceptual gap between established time series approaches, such as the Heterogeneous Autoregressive (HAR) model (Corsi, 2009), and state-of-the-art deep neural network models. The newly introduced HARNet is based on a hierarchy of dilated convolutional layers, which facilitates an exponential growth of the receptive field of the model in the number of model parameters. HARNets allow for an explicit initialization scheme such that before optimization, a HARNet yields identical predictions as the respective baseline HAR model. Particularly when considering the QLIKE error as a loss function, we find that this approach significantly stabilizes the optimization of HARNets. We evaluate the performance of HARNets with respect to three different stock market indexes. Based on this evaluation, we formulate clear guidelines for the optimization of HARNets and show that HARNets can substantially improve upon the forecasting accuracy of their respective HAR baseline models. In a qualitative analysis of the filter weights learnt by a HARNet, we report clear patterns regarding the predictive power of past information. Among information from the previous week, yesterday and the day before, yesterday's volatility makes by far the most contribution to today's realized volatility forecast. Moroever, within the previous month, the importance of single weeks diminishes almost linearly when moving further into the past.
The authors study the effects of forward looking communication in an environment of rising inflation rates on German consumers‘ inflation expectations using a randomized control trial. They show that information about rising inflation increases short- and long-term inflation expectations. This initial increase in expectations can be mitigated using forward looking information about inflation. Among these information treatments, professional forecasters‘ projections seem to reduce inflation expectations by more than policymakers‘ characterization of inflation as a temporary phenomenon.
In a parsimonious regime switching model, we find strong evidence that expected consumption growth varies over time. Adding inflation as a second variable, we uncover two states in which expected consumption growth is low, one with high and one with negative expected inflation. Embedded in a general equilibrium asset pricing model with learning, these dynamics replicate the observed time variation in stock return volatilities and stock- bond return correlations. They also provide an alternative derivation for a measure of time-varying disaster risk suggested by Wachter (2013), implying that both the disaster and the long-run risk paradigm can be extended towards explaining movements in the stock-bond correlation.
This paper examines optimal enviromental policy when external financing is costly for firms. We introduce emission externalities and industry equilibrium in the Holmström and Tirole (1997) model of corporate finance. While a cap-and- trading system optimally governs both firms` abatement activities (internal emission margin) and industry size (external emission margin) when firms have sufficient internal funds, external financing constraints introduce a wedge between these two objectives. When a sector is financially constrained in the aggregate, the optimal cap is strictly above the Pigouvian benchmark and emission allowances should be allocated below market prices. When a sector is not financially constrained in the aggregate, a cap that is below the Pigiouvian benchmark optimally shifts market share to less polluting firms and, moreover, there should be no "grandfathering" of emission allowances. With financial constraints and heterogeneity across firms or sectors, a uniform policy, such as a single cap-and-trade system, is typically not optimal.
This work uses financial markets connected by arbitrage relations to investigate the dynamics of price and liquidity discovery, which refer to the cross-instrument forecasting power for prices and liquidity, respectively. Specifically, we seek to understand the linkage between the cheapest to deliver bond and closest futures pairs by using high-frequency data on European governments obligations and derivatives. We split the 2019-2021 sample into three subperiods to appreciate changes in the liquidity discovery induced by the COVID-19 pandemic. Within a cointegration model, we find that price discovery occurs on the futures market, and document strong empirical support for liquidity spillovers both from the futures to the cash market as well as from the cash to the futures market.
We investigate what statistical properties drive risk-taking in a large set of observational panel data on online poker games (n=4,450,585). Each observation refers to a choice between a safe 'insurance' option and a binary lottery of winning or losing the game. Our setting offers a real-world choice situation with substantial incentives where probability distributions are simple, transparent, and known to the individuals. We find that individuals reveal a strong and robust preference for skewness. The effect of skewness is most pronounced among experienced and losing players but remains highly significant for winning players, in contrast to the variance effect.
We study liquidity provision by competitive high-frequency trading firms (HFTs) in a dynamic trading model with private information. Liquidity providers face adverse selection risk from trading with privately informed investors and from trading with other HFTs that engage in latency arbitrage upon public information. The impact of the two different sources of risk depends on the details of the market design. We determine equilibrium transaction costs in continuous limit order book (CLOB) markets and under frequent batch auctions (FBA). In the absence of informed trading, FBA dominates CLOB just as in Budish et al. (2015). Surprisingly, this result does no longer hold with privately informed investors. We show that FBA allows liquidity providers to charge markups and earn profits – even under risk neutrality and perfect competition. A slight variation of the FBA design removes the inefficiency by allowing traders to submit orders conditional on auction excess demand.
There have been numerous attempts to reform the Economic and Monetary Union (EMU) after the Great Recession, however the reform success varies greatly among sub-fields. Additionally, the political science research community has engaged a diverse set of theory- driven explanations, causal mechanisms, and variables to explain respective reform success. This article takes stock of reform policies in the EMU from two angles. First, it outlines distinct theoretical approaches that seek to explain success and failure of reform proposals and second, it surveys how they explain policy output and policy outcome in four policy subfields: financial stabilization, economic governance, financial solidarity, and cooperative dissolution. Finally, the article develops a set of explanatory factors from the existing literature that will be used for a Qualitative Comparative Analysis (QCA).
The sixth sanction package of the European Union in the context of the aggression against Ukraine excludes Sberbank, the largest Russian bank, from the SWIFT network. The increasing use of SWIFT as a tool for sanctions stimulates the rollout of alternative payment information systems by the governments of Russia and China. This policy white paper informs about the alternatives at hand, as well as their advantages and disadvantages. Careful reflection about these issues is particularly important, given the call for an “Economic Article 5” tabled for the next NATO meeting. Finally, the white paper highlights the need for institutional reforms, if policymakers decide to return SWIFT to the status of a global public good after the war.
Liquidity derivatives
(2022)
It is well established that investors price market liquidity risk. Yet, there exists no financial claim contingent on liquidity. We propose a contract to hedge uncertainty over future transaction costs, detailing potential buyers and sellers. Introducing liquidity derivatives in Brunnermeier and Pedersen (2009) improves financial stability by mitigating liquidity spirals. We simulate liquidity option prices for a panel of NYSE stocks spanning 2000 to 2020 by fitting a stochastic process to their bid-ask spreads. These contracts reduce the exposure to liquidity factors. Their prices provide a novel illiquidity measure refllecting cross-sectional commonalities. Finally, stock returns significantly spread along simulated prices.