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Savings accounts are owned by most households, but little is known about the performance of households’ investments. We create a unique dataset by matching information on individual savings accounts from the DNB Household Survey with market data on account-specific interest rates and characteristics. We document considerable heterogeneity in returns across households, which can be partly explained by financial sophistication. A one-standard deviation increase in financial literacy is associated with a 13% increase compared to the median interest rate. We isolate the usage of modern technology (online accounts) as one channel through which financial literacy has a positive association with returns.
A theory of the boundaries of banks with implications for financial integration and regulation
(2015)
We offer a theory of the "boundary of the
rm" that is tailored to banking, as it builds on a single ine¢ ciency arising from risk-shifting and as it takes into account both interbank lending as an alternative to integration and the role of possibly insured deposit funding. Amongst others, it explains both why deeper economic integration should cause also greater financial integration through both bank mergers and interbank lending, albeit this typically remains ine¢ ciently incomplete, and why economic disintegration (or "desychronization"), as currently witnessed in the European Union, should cause less interbank exposure. It also suggests that recent policy measures such as the preferential treatment of retail deposits, the extension of deposit insurance, or penalties on "connectedness" could all lead to substantial welfare losses.
n the EU there are longstanding and ongoing pressures towards a tax that is levied on the EU level to substitute for national contributions. We discuss conditions under which such a transition can make sense, starting from what we call a "decentralization theorem of taxation" that is analogous to Oates (1972) famous result that in the absence of spill-over effects and economies of scale decentralized public good provision weakly dominates central provision. We then drop assumptions that turn out to be unnecessary for this results. While spill-over effects of taxation may call for central rules for taxation, as long as spill-over effects do not depend on the intra-regional distribution of the tax burden, decentralized taxation plus tax coordination is found superior to a union-wide tax.
Do markets correct individual behavioral biases? In an experimental asset market, we compare the outcomes of a standard market economy to those of a an island economy that removed market interactions. We observe asset price bubbles in the market economy while prices are stable in the island economy. We also find that subjects took more risk following larger losses, resulting in larger prices and consistent with a gambling for resurrection motive. This motive can translate into bubbles in the market economy because higher prices increase average losses and thus reinforce the desire to resurrect. By contrast, the absence of such a strategic complementarity in island economies can explain the more stable outcome. These results suggest that markets do not correct behavioral biases, rather the contrary.
This paper analyzes sovereign risk shift-contagion, i.e. positive and significant changes in the propagation mechanisms, using bond yield spreads for the major eurozone countries. By emphasizing the use of two econometric approaches based on quantile regressions (standard quantile regression and Bayesian quantile regression with heteroskedasticity) we find that the propagation of shocks in euro's bond yield spreads shows almost no presence of shift-contagion. All the increases in correlation we have witnessed over the last years come from larger shocks propagated with higher intensity across Europe.
Research on interbank networks and systemic importance is starting to recognise that the web of exposures linking banks balance sheets is more complex than the single-layer-of-exposure paradigm. We use data on exposures between large European banks broken down by both maturity and instrument type to characterise the main features of the multiplex structure of the network of large European banks. This multiplex network presents positive correlated multiplexity and a high similarity between layers, stemming both from standard similarity analyses as well as a core-periphery analyses of the different layers. We propose measures of systemic importance that fit the case in which banks are connected through an arbitrary number of layers (be it by instrument, maturity or a combination of both). Such measures allow for a decomposition of the global systemic importance index for any bank into the contributions of each of the sub-networks, providing a useful tool for banking regulators and supervisors. We use the dataset of exposures between large European banks to illustrate the proposed measures.
Although banks are at the center of systemic risk, there are other institutions that contribute to it. With the publication of the leveraged lending guideline in March 2013, the U.S. regulators show that they are especially worried about the private equity firms with their high-risk deals. Given these risks and the interconnectedness of the banks through the LBO loan syndicates, I shed light on the impact of a bank’s LBO loan exposure on its systemic risk. By using 3,538 observations between 2000 and 2013 from 165 global banks, I show that banks with higher LBO exposure also have a higher level of systemic risk. Other loan purposes do not show this positive relationship. The main drivers influencing this relationship positively are the bank’s interconnectedness to other LBO financing banks and its size. Lending experience with a specific PE sponsor, experience with leading LBO syndicates or a bank’s credit rating, however, lead to a lower impact of the LBO loan exposure on systemic risk.
In the mid-1990s, institutional investors entered the syndicated loan market and started to serve borrowers as lead arrangers. Why are non-banks able to compete for this role against banks? How do the composition of syndicates and loan pricing differ among lead arrangers? By using a dataset of 12,847 leveraged loans between 1997 and 2012, I aim to answer these questions. Non-banks benefit from looser regulatory requirements, have industry expertise which helps them in the screening and monitoring of borrowers and focus on firms that ask for loans only instead of additional cross-selling of other services. I can show that non-banks specialize on more opaque and less experienced borrowers, are more likely than banks to choose participants that help to reduce potentially higher information asymmetries and earn 105 basis points more than banks.
This paper analyzes the influence Leveraged Buyouts (LBOs) have on the operating performance of the LBO target companies’ direct competitors. A unique and hand-collected data set on LBOs in the United States in the period 1985-2009 allows us to analyze the effects different restructuring activities as part of the LBO have on the competitors’ revenues. These restructuring activities include changes to leverage, governance, or operating business, as well as M&A activities of the LBO target company. We find that although LBOs itself have a negative influence on competitors’ revenue growth, some restructuring mechanisms might actually benefit competing companies.
The Liikanen Group proposes contingent convertible (CoCo) bonds as a potential mechanism to enhance financial stability in the banking industry. Especially life insurance companies could serve as CoCo bond holders as they are already the largest purchasers of bank bonds in Europe. We develop a stylized model with a direct financial connection between banking and insurance and study the effects of various types of bonds such as non-convertible bonds, write-down bonds and CoCos on banks' and insurers' risk situations. In addition, we compare insurers' capital requirements under the proposed Solvency II standard model as well as under an internal model that ex-ante anticipates additional risks due to possible conversion of the CoCo bond into bank shares. In order to check the robustness of our findings, we consider different CoCo designs (write-down factor, trigger value, holding time of bank shares) and compare the resulting capital requirements with those for holding non-convertible bonds. We identify situations in which insurers benefit from buying CoCo bonds due to lower capital requirements and higher coupon rates. Furthermore, our results highlight how the Solvency II standard model can mislead insurers in their CoCo investment decision due to economically irrational incentives.