Sustainable Architecture for Finance in Europe (SAFE)
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Zum ersten Mal wurde in Deutschland eine groß angelegte wissenschaftliche Studie zur Machbarkeit und zum Nutzen einer säulenübergreifenden Renteninformationsplattform durchgeführt, unter realen Bedingungen und mit mehreren tausend Teilnehmern. Die beiden zentralen Ergebnisse sind, dass ein elektronisches Rentencockpit auch in Deutschland technisch machbar ist und beträchtlichen individuellen Zusatznutzen für die Bürgerinnen und Bürger stiften würde. Die Langfristanalysen der Pilotstudie zeigen, dass selbst die einmalige Schaffung von Rententransparenz für viele Teilnehmer Anlass genug ist, ihren Rentenplan zu überdenken und sich aktiv mit ihrer Altersvorsorge auseinanderzusetzen und ihr Verhalten zu ändern. Teilnehmer mit Zugang zu einem elektronischen Rentencockpit fühlen sich nach der Studie deutlich besser informiert und neigen dazu ihr Sparverhalten stärker anzupassen als Personen ohne Zugang. Die außerordentlich hohe Bereitschaft zur Teilnahme und die Antworten in den Online-Befragungen sind zudem Beleg für den großen Bedarf an systemgestützter, individueller Rententransparenz. Soll ein Rentencockpit Verbreitung in Deutschland finden, scheint eine automatisierte, elektronische Bereitstellung von Vertragsdaten von Seiten der Rententräger jedoch unabdingbar, da die eigenständige Suche und teilmanuelle Bereitstellung von Standmitteilungen für die meisten Studienteilnehmer ein großes Hindernis darstellt.
Even if the importance of micro data transparency is a well-established fact, European institutions are still lacking behind the US when it comes to the provision of financial market data to academics. In this Policy Letter we discuss five different types of micro data that are crucial for monitoring (systemic) risk in the financial system, identifying and understanding inter-linkages in financial markets and thus have important implications for policymakers and regulatory authorities. We come to the conclusion that for all five areas of micro data, outlined in this Policy Letter (bank balance sheet data, asset portfolio data, market transaction data, market high frequency data and central bank data), the benefits of increased transparency greatly offset potential downsides. Hence, European policymakers would do well to follow the US example and close the sizeable gap in micro data transparency. For most cases, relevant data is already collected (at least on national level), but just not made available to academics for partly incomprehensible reasons. Overcoming these obstacles could foster financial stability in Europe and assure level playing fields with US regulators and policymakers.
This paper studies the distributional consequences of a systematic variation in expenditure shares and prices. Using European Union Household Budget Surveys and Harmonized Index of Consumer Prices data, we construct household-specific price indices and reveal the existence of a pro-rich inflation in Europe. Particularly, over the period 2001-15, the consumption bundles of the poorest deciles in 25 European countries have, on average, become 10.5 percentage points more expensive than those of the richest decile. We find that ignoring the differential inflation across the distribution underestimates the change in the Gini (based on consumption expenditure) by up to 0.03 points. Cross-country heterogeneity in this change is large enough to alter the inequality ranking of numerous countries. The average inflation effect we detect is almost as large as the change in the standard Gini measure over the period of interest.
The paper analyses the contagion channels of the European financial system through the stochastic block model (SBM). The model groups homogeneous connectivity patterns among the financial institutions and describes the shock transmission mechanisms of the financial networks in a compact way. We analyse the global financial crisis and European sovereign debt crisis and show that the network exhibits a strong community structure with two main blocks acting as shock spreader and receiver, respectively. Moreover, we provide evidence of the prominent role played by insurances in the spread of systemic risk in both crises. Finally, we demonstrate that policy interventions focused on institutions with inter-community linkages (community bridges) are more effective than the ones based on the classical connectedness measures and represents consequently, a better early warning indicator in predicting future financial losses.
We study the role of various trader types in providing liquidity in spot and futures markets based on complete order-book and transactions data as well as cross-market trader identifiers from the National Stock Exchange of India for a single large stock. During normal times, short-term traders who carry little inventory overnight are the primary intermediaries in both spot and futures markets, and changes in futures prices Granger-cause changes in spot prices. However, during two days of fast crashes, Granger-causality ran both ways. Both crashes were due to large-scale selling by foreign institutional investors in the spot market. Buying by short-term traders and cross-market traders was insufficient to stop the crashes. Mutual funds, patient traders with better trade-execution quality who were initially slow to move in, eventually bought sufficient quantities leading to price recovery in both markets. Our findings suggest that market stability requires the presence of well-capitalized standby liquidity providers.
We show that time-varying volatility of volatility is a significant risk factor which affects the cross-section and the time-series of index and VIX option returns, beyond volatility risk itself. Volatility and volatility-of-volatility measures, identified model-free from the option price data as the VIX and VVIX indices, respectively, are only weakly related to each other. Delta-hedged index and VIX option returns are negative on average, and are more negative for strategies which are more exposed to volatility and volatility-of-volatility risks. Volatility and volatility of volatility significantly and negatively predict future delta-hedged option payoffs. The evidence is consistent with a no-arbitrage model featuring time-varying market volatility and volatility-of-volatility factors, both of which have negative market price of risk.
This paper uses unique administrative data and a quasi-field experiment of exogenous allocation in Sweden to estimate medium- and longer-run effects on financial behavior from exposure to financially literate neighbors. It contributes evidence of causal impact of exposure and of a social multiplier of financial knowledge, but also of unfavorable distributional aspects of externalities. Exposure promotes saving in private retirement accounts and stockholding, especially when neighbors have economics or business education, but only for educated households and when interaction possibilities are substantial. Findings point to transfer of knowledge rather than mere imitation or effects through labor, education, or mobility channels.
In the last decade, central bank interventions, flights to safety, and the shift in derivatives clearing resulted in exceptionally high demand for high quality liquid assets, such as German treasuries, in the securities lending market besides the traditional repo market activities. Despite the high demand, the realizable securities lending income has remained economically negligible for most beneficial owners. We provide empirical evidence of pricing inefficiencies in the non-transparent, oligopolistic securities lending market for German treasuries from 2006 to 2015. Consistent with Duffie, Gârleanu and Pedersen (2005)’s theory, we find that the less connected market participants’ interests are underrepresented, evident in the longer maturity segment, where lenders are more likely to be conservative passive investors, such as pension funds and insurance firms. The low price elasticity in this segment hinders these beneficial owners to fully capitalize on the additional income from securities lending, giving rise to important negative welfare implications.
This paper analyses whether the post-crisis regulatory reforms developed by global-standard-setting bodies have created appropriate incentives for different types of market participants to centrally clear Over-The-Counter (OTC) derivative contracts. Beyond documenting the observed facts, we analyze four main drivers for the decision to clear: 1) the liquidity and riskiness of the reference entity; 2) the credit risk of the counterparty; 3) the clearing member’s portfolio net exposure with the Central Counterparty Clearing House (CCP) and 4) post trade transparency. We use confidential European trade repository data on single-name Sovereign Credit Derivative Swap (CDS) transactions, and show that for all the transactions reported in 2016 on Italian, German and French Sovereign CDS 48% were centrally cleared, 42% were not cleared despite being eligible for central clearing, while 9% of the contracts were not clearable because they did not satisfy certain CCP clearing criteria. However, there is a large difference between CCP clearing members that clear about 53% of their transactions and non-clearing members, even those that are subject to counterparty risk capital requirements, that almost never clear their trades. Moreover, we find that diverse factors explain clearing members’ decision to clear different CDS contracts: for Italian CDS, counterparty credit risk exposures matter most for the decision to clear, while for French and German CDS, margin costs are the most important factor for the decision. Clearing members use clearing to reduce their exposures to the CCP and largely clear contracts when at least one of the traders has a high counterparty credit risk.