Sustainable Architecture for Finance in Europe (SAFE)
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Warum das Stichwort Corona Bonds so viele falsche Assoziationen weckt, und wie sie beschaffen sein müssten, damit auch Deutschland damit gut klarkommt: Vor der morgigen Sitzung der Eurogruppe spricht Max Steinbeis mit MATTHIAS GOLDMANN über seinen Vorschlag und die damit verknüpften Chancen und Risiken.
The paper compares provision of public infrastructure via public-private partnerships (PPPs) with provision under government management. Due to soft budget constraints of government management, PPPs exert more effort and therefore have a cost advantage in building infrastructure. At the same time, hard budget constraints for PPPs introduce a bankruptcy risk and bankruptcy costs. Consequently, if bankruptcy costs are high, PPPs may be less efficient than public management, although this does not result from PPPs’ higher interest costs.
This working paper suggests to analyse agencification as a double process of institutional and policy centralisation. To that end, it develops a categorisation of agencies that incorporates these two dimensions. More specifically, it is argued that mixed outcomes where the levels of institutional and policy centralisation diverge can be expected to be the rule rather than the exception, in line with the hybrid nature of EU agencies as inbetweeners. Moreover, the fiduciary setting hits important legal constraints given the limits to delegation in the EU context. Against this backdrop a process whereby institutional centralisation develops incrementally and remains limited, yet is accompanied by a process of substantial policy centralisation, appears as the most promising path for EU agencification. A fiduciary setting, where a strong agency enjoys a high degree of independence and operates in a centralised policy space, by contrast, should be the exception. The comparative study of the process of agencification in the energy and banking sector is insightful in the light of these expectations. The incremental nature of institutional change in energy exemplifies the usual path of agencification, which is conducive to a weak agency operating in a relatively centralised policy space. Agencification in banking, by contrast, has led to a rather unusual outcome where the strong agency model combines with a fragmented policy context.
Using experimental data from a comprehensive field study, we explore the causal effects of algorithmic discrimination on economic efficiency and social welfare. We harness economic, game-theoretic, and state-of-the-art machine learning concepts allowing us to overcome the central challenge of missing counterfactuals, which generally impedes assessing economic downstream consequences of algorithmic discrimination. This way, we are able to precisely quantify downstream efficiency and welfare ramifications, which provides us a unique opportunity to assess whether the introduction of an AI system is actually desirable. Our results highlight that AI systems’ capabilities in enhancing welfare critically depends on the degree of inherent algorithmic biases. While an unbiased system in our setting outperforms humans and creates substantial welfare gains, the positive impact steadily decreases and ultimately reverses the more biased an AI system becomes. We show that this relation is particularly concerning in selective-labels environments, i.e., settings where outcomes are only observed if decision-makers take a particular action so that the data is selectively labeled, because commonly used technical performance metrics like the precision measure are prone to be deceptive. Finally, our results depict that continued learning, by creating feedback loops, can remedy algorithmic discrimination and associated negative effects over time.
We develop a novel empirical approach to identify the effectiveness of policies against a pandemic. The essence of our approach is the insight that epidemic dynamics are best tracked over stages, rather than over time. We use a normalization procedure that makes the pre-policy paths of the epidemic identical across regions. The procedure uncovers regional variation in the stage of the epidemic at the time of policy implementation. This variation delivers clean identification of the policy effect based on the epidemic path of a leading region that serves as a counterfactual for other regions. We apply our method to evaluate the effectiveness of the nationwide stay-home policy enacted in Spain against the Covid-19 pandemic. We find that the policy saved 15.9% of lives relative to the number of deaths that would have occurred had it not been for the policy intervention. Its effectiveness evolves with the epidemic and is larger when implemented at earlier stages.
The coronavirus has led to a human tragedy, but it need not end up in an economic catastrophe.
In Southern Europe there are signs of a silver lining: the growth rate of the total number of deaths attributed to the coronavirus has been decreasing for weeks in Italy and Spain.
While the effect of the connement measures aim at limiting the spread of the virus is at best uncertain, the economic and social costs of a prolonged lockdown are much less ambiguous and potentially huge. Importantly, these costs can be very unequally distributed.
We argue that it is therefore time to start thinking about how to gradually unlock these countries, and we make some suggestions along this line starting with large-scale testing and continuous re-testing as the most useful pre-condition.
We extend the canonical income process with persistent and transitory risk to shock distributions with left-skewness and excess kurtosis, to which we refer as higher- order risk. We estimate our extended income process by GMM for household data from the United States. We find countercyclical variance and procyclical skewness of persistent shocks. All shock distributions are highly leptokurtic. The existing tax and transfer system reduces dispersion and left-skewness of shocks. We then show that in a standard incomplete-markets life-cycle model, first, higher-order risk has sizable welfare implications, which depend crucially on risk attitudes of households; second, higher-order risk matters quantitatively for the welfare costs of cyclical idiosyncratic risk; third, higher-order risk has non-trivial implications for the degree of self-insurance against both transitory and persistent shocks.
Governments, economists and intellectuals have called for common European bonds or increased own EU funds to address the recession induced by Covid19. Unfortunately, the German government, joined by the other members of the “Frugal Four” (Austria, Finland, the Netherlands), has categorically rejected to look into any such measures and favours using the ESM. This reaction created a déjà vu experience for citizens and governments of the heavily affected southern Member States of the EU. The proposal to use the ESM raises fears of another wave of austerity amounting to yet another lost decade for economic, social, and ecological development in Europe.
The case for corona bonds
(2020)
Corona bonds are feasible and important to preserve the European project. We set out a number of principles that might serve as a blueprint for the European institutions. Importantly, Corona bonds could be issued through a new public law entity and include all the safeguards required for the protection of the fundamental values of the EU. This proposal is pragmatic in the sense that it facilitates the choice European leaders have to make now; necessary to secure the resilience of the European Union. The political risks are significantly higher now than in 2010. The gargantuan challenge of tackling the combined impact of climate change, migration, digitalization, geopolitical shifts, and the spread of autocracy, requires leadership and joint action by the Council and the Eurogroup.
Inflation ist ein Konstrukt. Sie wird von unterschiedlichen Akteur*innen unterschiedlich wahrgenommen. Zum Teil passiert dies, weil Warenkörbe differieren, zum Teil weil Erwartungen unterschiedlich gebildet werden. Dieser Beitrag diskutiert die Heterogenität der Infl ation und ihrer Wahrnehmung und was dies für die Zielgröße der Zentralbankpolitik bedeutet.
Inflation ist ein Konstrukt. Sie wird von unterschiedlichen Akteuren unterschiedlich wahrgenommen. Zum Teil passiert dies, weil Warenkörbe differieren, zum Teil weil Erwartungen unterschiedlich gebildet werden. Dieser Beitrag diskutiert die Heterogenität der Inflation und ihrer Wahrnehmung und was dies für die Zielgröße der Zentralbankpolitik bedeutet.
In diesem Beitrag wird ein Vorschlag vorgestellt, wie es trotz langfristiger Niedrigzinsen möglich ist, die vor 18 Jahren eingeführte Riester-Rente so umzugestalten, dass alle Beteiligten davon profitieren. Wird die Mindestauszahlung am Ende der Vertragslaufzeit nur für die Eigenbeiträge, nicht aber für die staatlichen Zulagen garantiert, können deutlich höhere Renditen erzielt werden. Unter dem Strich haben dann nicht nur Privatleute mehr Geld aus ihrer Altersvorsorge, sondern der Staat wird mehr Steuern einnehmen und die Anbieter haben mehr Spielraum für bedarfsgerechte Produktgestaltung.
In Deutschland ist die Wohneigentumsquote innerhalb der OECD am zweitniedrigsten. Eine wichtige Rolle spielt dabei die Wohnungspolitik, die hierzulande Anreize für das Mieten schafft. Neue Studien zeigen, dass eine veränderte Politik die Wohneigentumsquote erhöhen und die Vermögensungleichheit verringern könnte.
Capital in the corona crisis
(2020)