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We analyze the market reaction to the sentiment of the CEO speech at the Annual General Meeting (AGM). As the AGM is typically preceded by several information disclosures, the CEO speech may be expected to contribute only marginally to investors’ decision making. Surprisingly, however, we observe from the transcripts of 338 CEO speeches of German corporates between 2008 and 2016 that their sentiment is significantly related to abnormal stock returns and trading volume around the AGM. By adapting a finance-specific German dictionary based on Loughran and McDonald (2011), we find a negative association of the post-AGM returns with the speeches’ negativity and a positive association with the speeches’ relative positivity (i.e. positivity relative to negativity). Relative positivity moreover corresponds with a lower trading volume around the AGM. Investors hence seem to perceive the sentiment of CEO speeches at AGMs as a valuable indicator of future firm performance. Our results are robust against different weighting schemes and our dictionary appears to be better suited to grasp the sentiment of German business documents compared to general dictionaries.
Since 2014 the ECB has implemented a massive expansion of monetary policy including large-scale asset purchases and negative policy rates. As the euro area economy has improved and inflation has risen, questions concerning the future normalization of monetary policy are starting to dominate the public debate.
The study argues that the ECB should develop a strategy for policy normalization and communicate it very soon to prepare the ground for subsequent steps towards tightening. It provides analysis and makes proposals concerning key aspects of this strategy. The aim is to facilitate the emergence of expectations among market participants that are consistent with a smooth process of policy normalization.
We analyze the market reaction to the sentiment of the CEO speech at the Annual General Meeting (AGM). As the AGM is typically preceded by several information disclosures, the CEO speech may be expected to contribute only marginally to investors’ decision-making. Surprisingly, however, we observe from the transcripts of 338 CEO speeches of German corporates between 2008 and 2016 that their sentiment is significantly related to abnormal stock returns and trading volumes following the AGM. Using a novel business-specific German dictionary based on Loughran and McDonald (2011), we find a negative association of the post-AGM returns with the speeches’ negativity and a positive association with the speeches’ relative positivity (i.e. positivity relative to negativity). Relative positivity moreover corresponds with a lower trading volume in a short time window surrounding the AGM. Investors hence seem to perceive the sentiment of CEO speeches at AGMs as a valuable indicator of future firm performance.
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.
A counterparty credit limit (CCL) is a limit imposed by a financial institution to cap its maximum possible exposure to a specified counterparty. Although CCLs are designed to help institutions mitigate counterparty risk by selective diversification of their exposures, their implementation restricts the liquidity that institutions can access in an otherwise centralized pool. We address the question of how this mechanism impacts trade prices and volatility, both empirically and via a new model of trading with CCLs. We find empirically that CCLs cause little impact on trade. However, our model highlights that in extreme situations, CCLs could serve to destabilize prices and thereby influence systemic risk.
We show an ambivalent role of high-frequency traders (HFTs) in the Eurex Bund Futures market around high-impact macroeconomic announcements and extreme events. Around macroeconomic announcements, HFTs serve as market makers, post competitive spreads, and earn most of their profits through liquidity supply. Right before the announcement, however, HFTs significantly widen spreads and cause a rapid but short-lived drying-out of liquidity. In turbulent periods, such as after the U.K. Brexit announcement, HFTs shift their focus from market making activities to aggressive (but not necessarily profitable) directional strategies. Then, HFT activity becomes dominant and market quality can degrade.
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.
Monetary policy communication is particularly important during unconventional times, because high uncertainty about the economy, the introduction of new policy tools and possible limits to the central bank’s toolkit could hamper the predictability of policy actions. We study how monetary policy communication should and has worked under such circumstances. Our main results relate to announcements of asset purchase programmes and the use of forward guidance. We show that announcements of asset purchase programmes have lowered market uncertainty, particularly when accompanied by a contextual release of implementation details such as the envisaged size of the programme. We also show that forward guidance reduces uncertainty more effectively when it is state‐contingent or when it provides guidance about a long horizon than when it is open‐ended or covers only a short horizon, and that the credibility of forward guidance is strengthened if the central bank also has embarked on an asset purchase programme.
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.
Commodity connectedness
(2017)
We use variance decompositions from high-dimensional vector autoregressions to characterize connectedness in 19 key commodity return volatilities, 2011-2016. We study both static (full-sample) and dynamic (rolling-sample) connectedness. We summarize and visualize the results using tools from network analysis. The results reveal clear clustering of commodities into groups that match traditional industry groupings, but with some notable differences. The energy sector is most important in terms of sending shocks to others, and energy, industrial metals, and precious metals are themselves tightly connected.
We analyze older individuals’ debt and financial vulnerability using data from the Health and Retirement Study (HRS) and the National Financial Capability Study (NFCS). Specifically, in the HRS we examine three different cohorts (individuals age 56–61) in 1992, 2004, and 2010 to evaluate cross-cohort changes in debt over time. We also use two waves of the NFCS (2012 and 2015) to gain additional insights into debt management and older individuals’ capacity to shield themselves against shocks. We show that recent cohorts have taken on more debt and face more financial insecurity, mostly due to having purchased more expensive homes with smaller down payments.
The growth and popularity of defined contribution pensions, along with the government’s increasing attention to retirement plan costs and investment choices provided, make it important to understand how people select their retirement plan investments. This paper shows how employees in a large firm altered their fund allocations when the employer streamlined its pension fund menu and deleted nearly half of the offered funds. Using administrative data, we examine the changes in plan participant investment choices that resulted from the streamlining and how these changes might affect participants’ eventual retirement wellbeing. We show that streamlined participants’ new allocations exhibited significantly lower within-fund turnover rates and expense ratios, and we estimate this could lead to aggregate savings for these participants over a 20-year period of $20.2M, or in excess of $9,400 per participant. Moreover, after the reform, streamlined participants’ portfolios held significantly less equity and exhibited significantly lower risks by way of reduced exposures to most systematic risk factors, compared to their non-streamlined counterparts.
The long-run consumption risk model provides a theoretically appealing explanation for prominent asset pricing puzzles, but its intricate structure presents a challenge for econometric analysis. This paper proposes a two-step indirect inference approach that disentangles the estimation of the model's macroeconomic dynamics and the investor's preference parameters. A Monte Carlo study explores the feasibility and efficiency of the estimation strategy. We apply the method to recent U.S. data and provide a critical re-assessment of the long-run risk model's ability to reconcile the real economy and financial markets. This two-step indirect inference approach is potentially useful for the econometric analysis of other prominent consumption-based asset pricing models that are equally difficult to estimate.
Does the rotten child spoil his companion? : spatial peer effects among children in rural India
(2014)
This paper identifies the effect of neighborhood peer groups on childhood skill acquisition using observational data. We incorporate spatial peer interaction, defined as a child's nearest geographical neighbors, into a production function of child cognitive development in Andhra Pradesh, India. Our peer group definition takes the form of networks, whose structure allows us to identify endogenous peer effects and contextual effects separately. We exploit variation over time to avoid confounding correlated with social effects. Our results suggest that spatial peer and neighborhood effects are strongly positively associated with a child's cognitive skill formation. Further, we explore the effect of peer groups in helping to provide insurance against the negative impact of idiosyncratic shocks to child learning. We find that the data reject full risk-sharing, but cannot rule out the existence of partial risk-sharing on behalf of peers. We show that peer effects are robust to different specifications of peer interactions and investigate the sensitivity of our estimates to potential misspecification of the network structure using Monte Carlo experiments.
The bail-in tool as implemented in the European bank resolution framework suffers from severe shortcomings. To some extent, the regulatory framework can remedy the impediments to the desirable incentive effect of private sector involvement (PSI) that emanate from a lack of predictability of outcomes, if it compels banks to issue a sufficiently sized minimum of high-quality, easy to bail-in (subordinated) liabilities. Yet, even the limited improvements any prescription of bail-in capital can offer for PSI’s operational effectiveness seem compromised in important respects.
The main problem, echoing the general concerns voiced against the European bail-in regime, is that the specifications for minimum requirements for own funds and eligible liabilities (MREL) are also highly detailed and discretionary and thus alleviate the predicament of investors in bail-in debt, at best, only insufficiently. Quite importantly, given the character of typical MREL instruments as non-runnable long-term debt, even if investors are able to gauge the relevant risk of PSI in a bank’s failure correctly at the time of purchase, subsequent adjustment of MREL-prescriptions by competent or resolution authorities potentially change the risk profile of the pertinent instruments. Therefore, original pricing decisions may prove inadequate and so may market discipline that follows from them.
The pending European legislation aims at an implementation of the already complex specifications of the Financial Stability Board (FSB) for Total Loss Absorbing Capacity (TLAC) by very detailed and case specific amendments to both the regulatory capital and the resolution regime with an exorbitant emphasis on proportionality and technical fine-tuning. What gets lost in this approach, however, is the key policy objective of enhanced market discipline through predictable PSI: it is hardly conceivable that the pricing of MREL-instruments reflects an accurate risk-assessment of investors because of the many discretionary choices a multitude of agencies are supposed to make and revisit in the administration of the new regime. To prove this conclusion, this chapter looks in more detail at the regulatory objectives of the BRRD’s prescriptions for MREL and their implementation in the prospectively amended European supervisory and resolution framework.
This paper analyses the bail-in tool under the BRRD and predicts that it will not reach its policy objective. To make this argument, this paper first describes the policy rationale that calls for mandatory PSI. From this analysis the key features for an effective bail-in tool can be derived. These insights serve as the background to make the case that the European resolution framework is likely ineffective in establishing adequate market discipline through risk-reflecting prices for bank capital. The main reason for this lies in the avoidable embeddedness of the BRRD’s bail-in tool in the much broader resolution process which entails ample discretion of the authorities also in forcing private sector involvement. Finally, this paper synthesized the prior analysis by putting forward an alternative regulatory approach that seeks to disentangle private sector involvement as a precondition for effective bank-resolution as much as possible form the resolution process as such.
SAFE Newsletter : 2017, Q3
(2017)
This paper analyzes the relationship between monetary policy and financial stability in the Banking Union. There is no uniform global model regarding the relationship between monetary policy-making on the one hand, and prudential supervision on the other. Before the crisis, EU Member States followed different approaches, some of them uniting monetary and supervisory functions in one institution, others assigning them to different, neatly separated institutions. The financial crisis has underlined that monetary policy and prudential supervision deeply affect each other, especially in case of systemic events. Even in normal times, monetary and supervisory decisions might conflict with each other. After the crisis, some jurisdictions have moved towards a more holistic approach under which monetary policy takes supervisory considerations into account, while supervisory decisions pay due regard to monetary policy.
The Banking Union puts prudential supervision in the hands of the European Central Bank (ECB), the institution responsible for monetary policy. Nevertheless, at its establishment there was the political understanding that the ECB should follow a policy of meticulous separation in the discharge of its different functions. This raises the question whether the ECB may pursue a holistic approach to monetary policy and supervisory decision-making, respectively. On the basis of a purposive reading of the monetary policy mandate and the SSM Regulation, the paper answers this question in the affirmative. Effective monetary policy (or supervision) requires financial stability (or smooth monetary policy transmission). Moreover, without a holistic approach, the SSM Regulation is more likely to provoke the adoption of mutually defeating decisions by the Governing Board. The reputation of the ECB would suffer considerably under such a situation – in a field where reputation is of paramount importance for effective policy.
As any meticulous separation between monetary and supervisory functions turns out to be infeasible, the paper explores the reasons. Parting from Katharina Pistor’s legal theory of finance, which puts the emphasis on exogenous factors to explain the (non)enforcement of legal rules, the paper suggests a legal instability theorem which focuses on endogenous reasons, such as law’s indeterminacy, contextuality, and responsiveness to democratic deliberation. This raises the question whether the holistic approach would be democratically legitimate under the current framework of the ESCB. The idea of technocratic legitimacy that exempts the ECB from representative structures is effectively called into question by the legal instability theorem. This does not imply that the independence of the ECB should be given up, as there are no viable alternatives to protect monetary policy against the time inconsistency problem. Rather, any solution might benefit from recognizing the ECB in its mixed technocratic and political shape as a centerpiece of European integration and improving.
This paper examines the welfare implications of rising temperatures. Using a standard VAR, we empirically show that a temperature shock has a sizable, negative and statistically significant impact on TFP, output, and labor productivity. We rationalize these findings within a production economy featuring long-run temperature risk. In the model, macro-aggregates drop in response to a temperature shock, consistent with the novel evidence in the data. Such adverse effects are long-lasting. Over a 50-year horizon, a one-standard deviation temperature shock lowers both cumulative output and labor productivity growth by 1.4 percentage points. Based on the model, we also show that temperature risk is associated with non-negligible welfare costs which amount to 18.4% of the agent's lifetime utility and grow exponentially with the size of the impact of temperature on TFP. Finally, we show that faster adaptation to temperature shocks results in lower welfare costs. These welfare benefits become substantially higher in the presence of permanent improvements in the speed of adaptation.
We propose a 2-country asset-pricing model where agents' preferences change endogenously as a function of the popularity of internationally traded goods. We determine the effect of the time-variation of preferences on equity markets, consumption and portfolio choices. When agents are more sensitive to the popularity of domestic consumption goods, the local stock market reacts more strongly to the preferences of local agents than to the preferences of foreign agents. Therefore, home bias arises because home-country stock represents a better investment opportunity for hedging against future fluctuations in preferences. We test our model and find that preference evolution is a plausible driver of key macroeconomic variables and stock returns.
We investigate how solvency and wholesale funding shocks to 84 OECD parent banks affect the lending of 375 foreign subsidiaries. We find that parent solvency shocks are more important than wholesale funding shocks for subsidiary lending. Furthermore, we find that parent undercapitalization does not affect the transmission of shocks, while wholesale shocks transmit to foreign subsidiaries of parents that rely primarily on wholesale funding. We also find that transmission is affected by the strategic role of the subsidiary for the parent and follows a locational, rather than an organizational pecking order. Surprisingly, liquidity regulation exacerbates the transmission of adverse wholesale shocks. We further document that parent banks tend to use their own capital and liquidity buffers first, before transmitting. Finally, we show that solvency shocks have higher impact on large subsidiary banks with low growth opportunities in mature markets.
We introduce an innovative approach to measure bank integration, based on the corporate culture of multinational banking conglomerates. The new measure, the Power Index, assesses the prevalence of a language of power and authority in the financial reports of global banks. We employ a two-step approach: as a first step, we investigate whether parent-bank or parent-country characteristics are more important for bank integration. In a second step, we analyze whether bank integration affects the transmission of shocks across borders. We find that the level of integration of global banks is determined by parent-bank-specific factors, as well as by the social centralization in the parent’s country: ethnically diverse and linguistically homogenous countries nurture decentralized corporate structures. Political and economic factors, such as corruption, political rights and economic development also affect bank integration. Furthermore, we find that organizational integration affects the transmission of exogenous shocks from parent banks to their subsidiaries: the more centralized a global bank is, the lower the lending of its subsidiaries after a solvency shock. Wholesale shocks do not appear to be transmitted through this channel. Also, past experience with solvency shocks reduces the integration between parents and subsidiaries.
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.
SAFE Newsletter : 2017, Q2
(2017)
Given rising life expectations around the world, it seems that old-age pension benefits will need to be cut and pension contributions boosted in many nations. Yet our research on old-age system reforms does not require raising mandatory retirement ages or contributions. Instead, we offer ways to enhance incentives for people to work longer and delay retirement. There are good reasons to incentivize older people to work longer and delay retirement. These include rising longevity, the shrinking workforce, and emerging evidence indicating that working longer can be associated with better mental and physical health for many people. Nevertheless, old age Social Security systems in many nations find that people tend to claim benefits early, usually leading to reduced benefits.In the United States, for instance, a majority of Americans claim their Social Security benefits at the earlier feasible age, namely 62, even though their monthly benefits would be 75% higher if they waited until age 70. To test whether this is the result of people underweighting the economic value of higher lifetime benefit streams, we examine whether people would claim later and work longer if they were rewarded with a lump sum instead of a higher lifetime benefit stream for deferring. Two arguments have been offered to explain early claiming. One is that workers claim early to avoid potentially “forfeiting” their deferred benefits should they die too soon (Brown et al., 2016). A second explanation is that many people underweight the economic value of lifetime benefit streams (Brown et al., 2017). This latter rationale motivates the present study.
The Judgement of the EGC in the Case T-122/15 – Landeskreditbank Baden-Württemberg - Förderbank v European Central Bank is the first statement of the European judiciary on the sub-stantive law of the Banking Union. Beyond its specific holding, the decision is of great importance, because it hints at the methodological approach the EGC will take in interpreting prudential banking regulation in the appeals against supervisory measures that fall in its jurisdiction under TFEU, arts. 256(1) subpara 1 and 263(4). Specifically, the case pertained to the scope of direct ECB oversight of significant banks in the euro area and the reassignment of this competence to national competent authorities (NCAs) in individual circumstances (Single Supervisory Mechanism (SSM) Regulation, art. 6(4) subpara 2; SSM Framework Regulation, arts. 70, 71).
This paper examines the relationship between oil movements and systemic risk of financial institution in major petroleum-based economies. We estimate ΔCoVaR for those institutions and observe the presence of elevated increases in its levels corresponding to the subprime and global financial crises. The results provide evidence in favor of risk measurement improvements by accounting for oil returns in the risk functions. The spread between the standard CoVaR and the CoVaR that includes oil absorbs in a time range longer than the duration of the oil shock. This indicates that the drop in the oil price has a longer effect on risk and requires more time to be discounted by the financial institutions. To support the analysis, we consider also the other major market-based systemic risk measures.
This paper presents a comprehensive extension of pricing two-dimensional derivatives depending on two barrier constraints. We assume randomness on the covariance matrix as a way of generalizing. We analyse common barrier derivatives, enabling us to study parameter uncertainty and the risk related to the estimation procedure (estimation risk). In particular, we use the distribution of empirical parameters from IBM and EURO STOXX50. The evidence suggests that estimation risk should not be neglected in the context of multidimensional barrier derivatives, as it could cause price differences of up to 70%.
We consider a class of panel tests of the null hypothesis of no cointegration and cointegration. All tests under investigation rely on single-equations estimated by least squares, and they may be residual-based or not. We focus on test statistics computed from regressions with intercept only (i.e., without detrending) and with at least one of the regressors (integrated of order 1) being dominated by a linear time trend. In such a setting, often encountered in practice, the limiting distributions and critical values provided for and applied with the situation “with intercept only” are not correct. It is demonstrated that their usage results in size distortions growing with the panel size N. Moreover, we show which are the appropriate distributions, and how correct critical values can be obtained from the literature.
Two alternative hypotheses – referred to as opportunity- and stigma-based behavior – suggest that the magnitude of the link between unemployment and crime also depends on preexisting local crime levels. In order to analyze conjectured nonlinearities between both variables, we use quantile regressions applied to German district panel data. While both conventional OLS and quantile regressions confirm the positive link between unemployment and crime for property crimes, results for assault differ with respect to the method of estimation. Whereas conventional mean regressions do not show any significant effect (which would confirm the usual result found for violent crimes in the literature), quantile regression reveals that size and importance of the relationship are conditional on the crime rate. The partial effect is significantly positive for moderately low and median quantiles of local assault rates.
We analyze and compare the social, cultural and historical determinants that influence the international competitiveness of China and India. Starting with the discussion why pure economic determinants cannot solely explain a country's competitiveness, we will analyze previous qualitative research and evaluate quantitative data to assess which country has more favorable socio-economic factors influencing its economic performance in the long run.
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.
We study the general equilibrium implications of different fiscal policies on macroeconomic quantities, asset prices, and welfare by utilizing two endogenous growth models. The expanding variety model features only homogeneous innovations by entrants. The Schumpeterian growth model features heterogeneous innovations: "incremental" innovations by incumbents and "radical" innovations by entrants. The government levies taxes on labor income and corporate profits and supplies subsidies to consumption, capital investment, and investments in research and development by entrants and, if applicable, incumbents. With these models at hand, we provide new insights on the interplay of innovation dynamics and fiscal policy.
Exploiting NASDAQ order book data and difference-in-differences methodology, we identify the distinct effects of trading pause mechanisms introduced on U.S. stock exchanges after May 2010. We show that the mere existence of such a regulation constitutes a safeguard which makes market participants behave differently in anticipation of a pause. Pauses tend to break local price trends, make liquidity suppliers revise positions, and enhance price discovery. In contrast, pauses do not have a “cool off” effect on markets, but rather accelerate volatility and bid-ask spreads. This implies a regulatory trade-off between the protective role of trading pauses and their adverse effects on market quality.
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.
During the 1970s, industrial countries, including the US and continental Europa, experienced a combination of slow productivity growth and high unemplyoment. Subsequent research has shown that the standard model of unemployment actually gives counterfactual predictions. Motivated by the observation that the 1970s were also characterized by high and rising inflation, Tesfaselassie and Wolters examine the effect of growth on unemployment in the presence of nominal price rigidity.
The authors demonstrate that the effect of growth on unemployment may be positive or negative. Faster growth leads to lower unemployment if the rate of inflation is high enough. There is a threshold level of inflation below which faster growth leads to higher unemployment and above which faster growth leads to lower unemployment. The threshold level in turn depends on labor market characteristics, such as hiring efficiency, the job destruction rate, workers' relative bargaining power and the opportunity cost of work.
To broaden the scope of monetary policy, cash abolishment is often suggested as a means of breaking through the zero lower bound. However, practically nothing is said about the welfare costs of such a proposal. Rösl, Seitz and Tödter argue that the welfare costs of bypassing the zero lower bound can be analyzed analytically and empirically by assuming negative interest rates on cash holdings. They gauge the welfare effects of abolishing cash, both, for the euro area and for Germany.
Their findings suggest that the welfare losses of negative interest rates incurred by money holders are large, notably if implemented in the current low interest rate environment. Imposing a negative interest rate of 3 percentage points on cash holdings and reducing the interest on all assets included in M3 creates a deadweight loss of € 62bn for the euro area and of €18bn for Germany. Therefore, the authors argue that cash abolishment or negative interest rates on cash to break through the zero lower bound at any price can hardly be a meaningful policy goal.
The currrent debate on monetary and fiscal policy is heavily influenced by estimates of the equilibrium real interest rate. Beyer and Wieland re-estimate the U.S. equilibrium rate with the methodology of Laubach and Williams and further modifications. They provide new estimates for the United States, the euro area and Germany and subject them to sensitivity tests. Beyer and Wieland conclude that due to the great uncertainty and sensitivity, the observed decline in the estimates is not a reliable indicator of a need for expansionary monetary and fiscal policy. Yet, if those estimates are employed to determine the appropriate monetary policy stance, such estimates are better used together with the consistent estimate of the level of potential output.
I propose a dynamic stochastic general equilibrium model in which the leverage of borrowers as well as banks and housing finance play a crucial role in the model dynamics. The model is used to evaluate the relative effectiveness of a policy to inject capital into banks versus a policy to relieve households of mortgage debt. In normal times, when the economy is near the steady state and policy rates are set according to a Taylor-type rule, capital injections to banks are more effective in stimulating the economy in the long-run. However, in the middle of a housing debt crisis, when households are highly leveraged, the short-run output effects of the debt relief are more substantial. When the zero lower bound (ZLB) is additionally considered, the debt relief policy can be much more powerful in boosting the economy both in the short-run and in the longrun. Moreover, the output effects of the debt relief become increasingly larger, the longer the ZLB is binding.
We use the Italian Survey of Household Income and Wealth, a rather unique dataset with a long time dimension of panel information on consumption, income and wealth, to structurally estimate a buffer-stock saving model. We exploit the information contained in the joint dynamics of income, consumption and wealth to quantify the degree of insurance against income risk. The estimated model implies that Italian households can insure between 89 and 95 percent of a transitory and between 7 and 9 percent of a permanent income shock. Compared to existing empirical estimates for the same dataset, our findings suggest that Italian households do not have access to significant insurance beyond self-insurance.
We designed and fielded an experimental module in the 2014 HRS which seeks to measure older persons’ willingness to voluntarily defer claiming of Social Security benefits. In addition we evaluate the stated willingness of older individuals to work longer, depending on the Social Security incentives offered to delay claiming their benefits. Our project extends previous work by analyzing the results from our HRS module and comparing findings from other data sources, which included very much smaller samples of older persons. We show that half of the respondents would delay claiming if no work requirement were in place under the status quo, and only slightly fewer, 46 percent, with a work requirement. We also asked respondents how large a lump sum they would need with or without a work requirement. In the former case, the average amount needed to induce delayed claiming was about $60,400, while when part-time work was required, the average was $66,700. This implies a low utility value of leisure foregone of only $6,300, or about 10 percent of older households’ income.
On average young people \undersave" whereas old people \oversave" with respect to the rational expectations model of life-cycle consumption and savings. According to numerous studies on subjective survival beliefs, young people also \underestimate" whereas old people \overestimate" their objective survival chances on average. We take a structural behavioral economics approach to jointly address both empirical phenomena by embedding subjective survival beliefs that are consistent with these biases into a rank-dependent utility (RDU) model over life-cycle consumption. The resulting consumption behavior is dynamically inconsistent. Considering both naive and sophisticated RDU agents we show that within this framework underestimation of young age and overestimation of old age survival probabilities may (but need not) give rise to the joint occurrence of undersaving and oversaving. In contrast to this RDU model, the familiar quasi-hyperbolic discounting (QHD), which is nested as a special case, cannot generate oversaving.
We test two hypotheses, based on sexual selection theory, about gender differences in costly social interactions. Differential selectivity states that women invest less than men in interactions with new individuals. Differential opportunism states that women’s investment in social interactions is less responsive to information about the interaction’s payoffs. The hypotheses imply that women’s social networks are more stable and path dependent and composed of a greater proportion of strong relative to weak links. During their introductory week, we let new university students play an experimental trust game, first with one anonymous partner, then with the same and a new partner. Consistent with our hypotheses, we find that women invest less than men in new partners and that their investments are only half as responsive to information about the likely returns to the investment. Moreover, subsequent formation of students’ real social networks is consistent with the experimental results: being randomly assigned to the same introductory group has a much larger positive effect on women’s likelihood of reporting a subsequent friendship.
Bank regulators have the discretion to discipline banks by executing enforcement actions to ensure that banks correct deficiencies regarding safe and sound banking principles. We
highlight the trade-offs regarding the execution of enforcement actions for financial stability. Following this we provide an overview of the differences in the legal framework governing supervisors’ execution of enforcement actions in the Banking Union and the United States. After discussing work on the effect of enforcement action on bank behaviour and the real economy, we present data on the evolution of enforcement actions
and monetary penalties by U.S. regulators. We conclude by noting the importance of supervisors to levy efficient monetary penalties and stressing that a division of competences among different regulators should not lead to a loss of efficiency regarding
the execution of enforcement actions.