Refine
Year of publication
- 2017 (212) (remove)
Document Type
- Part of Periodical (102)
- Working Paper (91)
- Article (8)
- Contribution to a Periodical (5)
- Book (4)
- Report (2)
Has Fulltext
- yes (212) (remove)
Is part of the Bibliography
- no (212)
Keywords
- Financial Institutions (41)
- Banking Supervision (22)
- Banking Resolution (20)
- BRRD (19)
- Banking Regulation (18)
- Household Finance (15)
- SSM (15)
- Bail-in (14)
- Banking Union (14)
- Capital Markets Union (14)
Institute
- Wirtschaftswissenschaften (212) (remove)
Lackmustest Monte Paschi
(2017)
We theoretically and empirically study large-scale portfolio allocation problems when transaction costs are taken into account in the optimization problem. We show that transaction costs act on the one hand as a turnover penalization and on the other hand as a regularization, which shrinks the covariance matrix. As an empirical framework, we propose a flexible econometric setting for portfolio optimization under transaction costs, which incorporates parameter uncertainty and combines predictive distributions of individual models using optimal prediction pooling. We consider predictive distributions resulting from highfrequency based covariance matrix estimates, daily stochastic volatility factor models and regularized rolling window covariance estimates, among others. Using data capturing several hundred Nasdaq stocks over more than 10 years, we illustrate that transaction cost regularization (even to small extent) is crucial in order to produce allocations with positive Sharpe ratios. We moreover show that performance differences between individual models decline when transaction costs are considered. Nevertheless, it turns out that adaptive mixtures based on high-frequency and low-frequency information yield the highest performance. Portfolio bootstrap reveals that naive 1=N-allocations and global minimum variance allocations (with and without short sales constraints) are significantly outperformed in terms of Sharpe ratios and utility gains.
We propose a long-run risk model with stochastic volatility, a time-varying mean reversion level of volatility, and jumps in the state variables. The special feature of our model is that the jump intensity is not affine in the conditional variance but driven by a separate process. We show that this separation of jump risk from volatility risk is needed to match the empirically weak link between the level and the slope of the implied volatility smile for S&P 500 options.
We develop a state-space model to decompose bid and ask quotes of CDS into two components, fair default premium and liquidity premium. This approach gives a better estimate of the default premium than mid quotes, and it allows to disentangle and compare the liquidity premium earned by the protection buyer and the protection seller. In contrast to other studies, our model is structurally much simpler, while it also allows for correlation between liquidity and default premia, as supported by empirical evidence. The model is implemented and applied to a large data set of 118 CDS for a period ranging from 2004 to 2010. The model-generated output variables are analyzed in a difference-in-difference framework to determine how the default premium, as well as the liquidity premium of protection buyers and sellers, evolved during different periods of the financial crisis and to which extent they differ for financial institutions compared to non-financials.
Litmus test Monte Paschi
(2017)
We establish a benchmark result for the relationship between the loanable funds and the money-creation approach to banking. In particular, we show that both processes yield the same allocations when there is no uncertainty and thus no bank default. In such cases, using the much simpler loanable funds approach as a shortcut does not imply any loss of generality.
After the Lehman-Brothers collapse, the stock index has exceeded its pre-Lehman-Brothers peak by 36% in real terms. Seemingly, markets have been demanding more stocks instead of bonds. Yet, instead of observing higher bond rates, paradoxically, bond rates have been persistently negative after the Lehman-Brothers collapse. To explain this paradox, we suggest that, in the post-Lehman-Brothers period, investors changed their perceptions on disasters, thinking that disasters occur once every 30 years on average, instead of disasters occurring once every 60 years. In our asset-pricing calibration exercise, this rise in perceived market fragility alone can explain the drop in both bond rates and price-dividend ratios observed after the Lehman-Brothers collapse, which indicates that markets mostly demanded bonds instead of stocks.
Master of science in international economics and economic policy : guidelines winter term 2017/2018
(2017)
Public employees in many developing economies earn much higher wages than similar privatesector workers. These wage premia may reflect an efficient return to effort or unobserved skills, or an inefficient rent causing labor misallocation. To distinguish these explanations, we exploit the Kenyan government’s algorithm for hiring eighteen-thousand new teachers in 2010 in a regression discontinuity design. Fuzzy regression discontinuity estimates yield a civil-service wage premium of over 100 percent (not attributable to observed or unobserved skills), but no effect on motivation, suggesting rent-sharing as the most plausible explanation for the wage premium.
The German savings and cooperative banks of the 19th century were precursors of modern microfinance. They provided access to financial services for the majority of the German population, which was formerly excluded from bank funding. Furthermore, they did this at low costs for themselves and affordable prices for their clients. By creating networks of financially viable and stable financial institutions covering the entire country, they contributed significantly to building a sound and “inclusive” financial infrastructure in Germany. A look back at the history of German savings and cooperative banks and combining these experiences with the lessons learned from modern microfinance can guide current policy and be valuable for present and future models of microfinance business.
Missed opportunity
(2017)
For some time now, structural macroeconomic models used at central banks have been predominantly New Keynesian DSGE models featuring nominal rigidities and forwardlooking decision-making. While these features are widely deemed crucial for policy evaluation exercises, most central banks have added more detailed characterizations of the financial sector to these models following the Great Recession in order to improve their fit to the data and their forecasting performance. We employ a comparative approach to investigate the characteristics of this new generation of New Keynesian DSGE models and document an elevated degree of model uncertainty relative to earlier model generations. Policy transmission is highly heterogeneous across types of financial frictions and monetary policy causes larger effects, on average. The New Keynesian DSGE models we analyze suggest that a simple policy rule robust to model uncertainty involves a weaker response to inflation and the output gap in the presence of financial frictions as compared to earlier generations of such models. Leaning-against-the-wind policies in models of this class estimated for the Euro Area do not lead to substantial gains. With regard to forecasting performance, the inclusion of financial frictions can generate improvements, if conditioned on appropriate data. Looking forward, we argue that model-averaging and embracing alternative modelling paradigms is likely to yield a more robust framework for the conduct of monetary policy.
Financial market interactions can lead to large and persistent booms and recessions. Instability is an inherent threat to economies with speculative financial markets. A central bank’s interest rate setting can amplify the expectation feedback in the financial market and this can lead to unstable dynamics and excess volatility. The paper suggests that policy institutions may be well-advised to handle tools like asset price targeting with care since such instruments might add a structural link between asset prices and macroeconomic aggregates. Neither stock prices nor indices are a good indicator to base decisions on.
We document that natural disasters significantly weaken the stability of banks with business activities in affected regions, as reflected in lower z-scores, higher probabilities of default, higher non-performing assets ratios, higher foreclosure ratios, lower returns on assets and lower bank equity ratios. The effects are economically relevant and suggest that insurance payments and public aid programs do not sufficiently protect bank borrowers against financial difficulties. We also find that the adverse effects on bank stability dissolve after some years if no further disasters occur in the meantime.
We study platform design in online markets in which buying involves a (nonmonetary) cost for consumers caused by privacy and security concerns. Firms decide whether to require registration at their website before consumers learn relevant product information. We derive conditions under which a monopoly seller benefits from ex ante registration requirements and demonstrate that the profitability of registration requirements is increased when taking into account the prospect of future purchases or an informational value of consumer registration to the firm. Moreover, we consider the effectiveness of discounts (store credit) as a means to influence the consumers’ registration decision. Finally, we confirm the profitability of ex ante registration requirements in the presence of price competition.
People who delay claiming Social Security receive higher lifelong benefits upon retirement. We survey individuals on their willingness to delay claiming later, if they could receive a lump sum in lieu of a higher annuity payment. Using a moment-matching approach, we calibrate a lifecycle model tracking observed claiming patterns under current rules and predict optimal claiming outcomes under the lump sum approach. Our model correctly predicts that early claimers under current rules would delay claiming most when offered actuarially fair lump sums, and for lump sums worth 87% as much, claiming ages would still be higher than at present.
Optimal trend inflation
(2017)
We present a sticky-price model incorporating heterogeneous Firms and systematic firm-level productivity trends. Aggregating the model in closed form, we show that it delivers radically different predictions for the optimal inflation rate than canonical sticky price models featuring homogenous Firms:
(1) the optimal steady-state inflation rate generically differs from zero and,
(2) inflation optimally responds to productivity disturbances.
Using micro data from the US Census Bureau to estimate the inflation-relevant productivity trends at the firm level, we find that the optimal US inflation rate is positive. It was slightly above 2 percent in the year 1986, but continuously declined thereafter, reaching about 1 percent in the year 2013.
Different insurance activities exhibit different levels of persistence of shocks and volatility. For example, life insurance is typically more persistent but less volatile than non-life insurance. We examine how diversification among life, non-life insurance, and active reinsurance business affects an insurer's contribution and exposure to the risk of other companies. Our model shows that a counterparty's credit risk exposure to an insurance group substantially depends on the relative proportion of the insurance group's life and non-life business. The empirical analysis confirms this finding with respect to several measures for spillover risk. The optimal proportion of life business that minimizes spillover risk decreases with leverage of the insurance group, and increases with active reinsurance business.
New provisioning rules introduced by IFRS 9 are expected to reduce the procyclicality of provisioning. Heterogeneity among banks in the procyclicality of provisioning may not only reflect the formal accounting rules, but also variation in discretionary provisioning policies. This paper presents empirical evidence on the heterogeneity of provisioning procyclicality among significant banks that are directly supervised by the ECB. In particular, this paper finds that provisioning is relatively procyclical at banks that have i) high loans-to-assets ratios, ii) high shares of non-interest income in total operating income, iii) low capitalization rates, and iv) low total assets. Supervisory guidance provided to banks on how to implement IFRS 9 has mostly been of a qualitative nature, and may prove inadequate to prevent an undesirably wide future variation in provisioning among EU banks.
This paper was provided at the request of the Committee on Economic and Monetary Affairs of the European Parliament and commissioned and drafted under the responsibility of the Economic Governance Support Unit (EGOV) of the European Parliament. It was originally published on the European Parliament’s webpage.
The purpose of the data presented in this article is to use it in ex post estimations of interest rate decisions by the European Central Bank (ECB), as it is done by Bletzinger and Wieland (2017) [1]. The data is of quarterly frequency from 1999 Q1 until 2013 Q2 and consists of the ECB's policy rate, inflation rate, real output growth and potential output growth in the euro area. To account for forward-looking decision making in the interest rate rule, the data consists of expectations about future inflation and output dynamics. While potential output is constructed based on data from the European Commission's annual macro-economic database, inflation and real output growth are taken from two different sources both provided by the ECB: the Survey of Professional Forecasters and projections made by ECB staff. Careful attention was given to the publication date of the collected data to ensure a real-time dataset only consisting of information which was available to the decision makers at the time of the decision.
Recent work has analyzed the forecasting performance of standard dynamic stochastic general equilibrium (DSGE) models, but little attention has been given to DSGE models that incorporate nonlinearities in exogenous driving processes. Against that background, we explore whether incorporating stochastic volatility improves DSGE forecasts (point, interval, and density). We examine real-time forecast accuracy for key macroeconomic variables including output growth, inflation, and the policy rate. We find that incorporating stochastic volatility in DSGE models of macroeconomic fundamentals markedly improves their density forecasts, just as incorporating stochastic volatility in models of financial asset returns improves their density forecasts.
Eine neuere Entscheidung des Bundesgerichtshofs zu den Anforderungen an die Mitteilung nach § 20 AktG über die Mitteilung eines Beteiligungserwerbs2 gibt Anlass zu Überlegungen zu den Rechtsfolgen einer Verletzung von Mitteilungspflichten durch mittelbar beteiligte Gesellschafter.
Der Bundesgerichthof hat, ohne auf abweichende Ansichten einzugehen, die h.M.3 bestätigt, nach der bei Verletzungen einer Mitteilungspflicht durch ein herrschendes Unternehmen die Rechtsfolge des Rechtsverlustes das unmittelbar beteiligte Tochterunternehmen selbst dann trifft, wenn dieses seine eigene Mitteilungspflicht ordnungsgemäß erfüllt hat.4 Im Hinblick auf den (zeitweiligen) Verlust von Dividendenansprüchen, um die es in dem vom BGH entschiedenen Fall ging, dürfte die in der Sache entscheidende Erwägung sein, dass anderenfalls dem herrschenden Unternehmen die mittelbaren Folgen der Gewinnausschüttung auch dann erhalten blieben, wenn es den eigenen Verstoß gegen die Mitteilungspflicht und den daraus folgenden temporären Wegfall des Gewinnbezugsrechts kannte oder kennen musste.
Seit 2006 haben die Bundesländer das Recht, den Steuersatz der Grunderwerbsteuer selbst zu bestimmen. Von diesem Recht wurde in den meisten Bundesländern – mit Ausnahme von Bayern und Sachsen – ausgiebig Gebrauch gemacht. Mit dieser Entwicklung sind verschiedene negative Begleiterscheinungen der Steuer weiter in den Vordergrund gerückt. Ausweichreaktionen und Preiseffekte auf dem Immobilienmarkt führten dazu, dass aus jedem Prozent, um das der Steuersatz erhöht wurde, schätzungsweise nur rund 0,6 Prozent zusätzliche Steuereinahmen resultierten, während ohne Ausweichreaktionen und Preiseffekte eine Einnahmenerhöhung um ein Prozent zu erwarten gewesen wäre. Hinter diesem unterproportionalen Aufkommenseffekt sind verschiedene Mechanismen zu vermuten, wie etwa die Umgehung durch den Kauf des Grundvermögens als Teil einer Kapitalgesellschaft.
In Anbetracht der gestiegenen Steuersätze wurde im letzten Bundestagswahlkampf aus CDU sowie FDP der Ruf laut nach einem Freibetrag für Immobilienkäufer, die erworbenes Wohneigentum selbst nutzen möchten. Die Kinderzahl soll den Freibetrag je nach Vorschlag erhöhen.
Der Beitrag diskutiert kritisch die Forderung nach einer Familienkomponente der Grunderwerbssteuer und zeigt darüber hinaus mögliche Alternativen zur Einschränkung der Steuergestaltungen durch Share Deals auf.
Jan Pieter Krahnen empfiehlt in Börsenzeitung eine zentrale europäische Aufsicht.
Würde der Zusammenbruch einiger Clearinghäuser die Stabilität des Finanzsystems gefährden? Und wie lässt sich Europas fragmentierter Clearingmarkt regulieren? Diese Fragen werden in Politik und Wissenschaft kontrovers diskutiert.
Jan Pieter Krahnen, Direktor des Forschungszentrums SAFE und Professor für Finanzen an der Goethe-Universität Frankfurt, fordert in der Börsenzeitung vom 1. Februar eine zentrale europäische Aufsicht für den fragmentierten europäischen Clearingmarkt. Eine gemeinsame Überwachungsinstanz könne die Gesamtmarktlage überblicken und eingreifen, wenn die Systemstabilität gefährdet sei...
Crowdfunding is a buzzword that signifies a sub-set in the new forms of finance facilitated by advances in information technology usually categorized as fintech. Concerns for financial stability, investor and consumer protection, or the prevention of money laundering or funding of terrorism hinge incrementally on including the new techniques to initiate financing relationships adequately in the regulatory framework.
This paper analyzes the German regulation of crowdinvesting and finds that it does not fully live up to the regulatory challenges posed by this novel form of digitized matching of supply and demand on capital markets. It should better reflect the key importance of crowdinvesting platforms, which may become critical providers of market infrastructure in the not too distant future. Moreover, platforms can play an important role in investor protection that cannot be performed by traditional disclosure regimes geared towards more seasoned issuers. Against this background, the creation of an exemption from the traditional prospectus regime seems to be a plausible policy choice. However, it needs to be complemented by an adequate regulatory stimulation of platforms’ role as gatekeepers.
This paper investigates the effects of a rise in interest rate and lapse risk of endowment life insurance policies on the liquidity and solvency of life insurers. We model the book and market value balance sheet of an average German life insurer, subject to both GAAP and Solvency II regulation, featuring an existing back book of policies and an existing asset allocation calibrated by historical data. The balance sheet is then projected forward under stochastic financial markets. Lapse rates are modeled stochastically and depend on the granted guaranteed rate of return and prevailing level of interest rates. Our results suggest that in the case of a sharp increase in interest rates, policyholders sharply increase lapses and the solvency position of the insurer deteriorates in the short-run. This result is particularly driven by the interaction between a reduction in the market value of assets, large guarantees for existing policies, and a very slow adjustment of asset returns to interest rates. A sharp or gradual rise in interest rates is associated with substantial and persistent liquidity needs, that are particularly driven by lapse rates.
Risk culture during the last 2000 years - from an aleatory society to the illusion of risk control
(2017)
The culture of risk is 2000 years old, although the term “risk” developed much later. The culture of merchants making decisions under uncertainty and taking the individual responsibility for the uncertain future started with the Roman “Aleatory Society”, continued with medieval sea merchants, who made business “ad risicum et fortunam”, and sustained to the culture of entrepreneurs in times of industrialisation and dynamic economic changes in the 18th and 19th century. For all long-term commercial relationships, the culture of honourable merchants with personal decision-making and individual responsibility worked well. The successful development of sciences, statistics and engineering within the last 100 years led to the conjecture that men can “construct” an economical system with a pre-defined “clockwork” behaviour. Since probability distributions could be calculated ex-post, an illusion to control risk ex-ante became a pattern in business and banking. Based on the recent experiences with the financial crisis, a “risk culture” should understand that human “Strength of Knowledge” is limited and the “unknown unknown” can materialise. As all decisions and all commercial agreements are made under uncertainty, the culture of honourable merchants is key to achieve trust in long-term economic relations with individual responsibility, flexibility to adapt and resilience against the unknown.