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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.
In this paper we propose a way forward towards increased financial resilience in times of growing disagreement concerning open borders, free trade and global regulatory standards. In light of these concerns, financial resilience remains a highly valued policy objective. We wish to contribute by suggesting an agenda of concrete, do-able steps supporting an enhanced level of resilience, combined with a deeper understanding of its relevance in the public domain.
First, remove inconsistencies across regulatory rules and territorial regimes, and ensure their credibility concerning implementation. Second, discourage the use of financial regulatory standards as means of international competition. Third, give more weight to pedagogically explaining the established regulatory standards in public, to strengthen their societal backing.
We extend the classical ”martingale-plus-noise” model for high-frequency prices by an error correction mechanism originating from prevailing mispricing. The speed of price reversal is a natural measure for informational efficiency. The strength of the price reversal relative to the signal-to-noise ratio determines the signs of the return serial correlation and the bias in standard realized variance estimates. We derive the model’s properties and locally estimate it based on mid-quote returns of the NASDAQ 100 constituents. There is evidence of mildly persistent local regimes of positive and negative serial correlation, arising from lagged feedback effects and sluggish price adjustments. The model performance is decidedly superior to existing stylized microstructure models. Finally, we document intraday periodicities in the speed of price reversion and noise-to-signal ratios.
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.
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.
Coming early to the party
(2017)
We examine the strategic behavior of High Frequency Traders (HFTs) during the pre-opening phase and the opening auction of the NYSE-Euronext Paris exchange. HFTs actively participate, and profitably extract information from the order flow. They also post "flash crash" orders, to gain time priority. They make profits on their last-second orders; however, so do others, suggesting that there is no speed advantage. HFTs lead price discovery, and neither harm nor improve liquidity. They "come early to the party", and enjoy it (make profits); however, they also help others enjoy the party (improve market quality) and do not have privileges (their speed advantage is not crucial).
During the last IAIS Global Seminar in June 2017, IAIS disclosed the agenda for a gradual shift in the systemic risk assessment methodology from the current Entity Based Approach (EBA) to a new Activity Based Approach(ABA). The EBA, which was developed in the aftermath of the 2008/2009 financial crisis, defines a list of Global Systemically Important Insurers (G-SIIs) based on a pre-defined set of criteria related to the size of the institution. These G-SIIs are subject to additional regulatory requirements since their distress or disorderly failure would potentially cause significant disruption to the global financial system and economic activity. Even if size is still a needed element of a systemic risk assessment, the strong emphasis put on the too-big-to-fail approach in insurance, i.e. EBA, might be partially missing the underlying nature of systemic risk in insurance. Not only certain activities, including insurance activities such as life or non-life lines of business, but also common exposures or certain managerial practices such as leverage or funding structures, tend to contribute to systemic risk of insurers but are not covered by the current EBA (Berdin and Sottocornola, 2015). Therefore, we very much welcome the general development of the systemic risk assessment methodology, even if several important questions still need to be answered.
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.
The impact of network connectivity on factor exposures, asset pricing and portfolio diversification
(2017)
This paper extends the classic factor-based asset pricing model by including network linkages in linear factor models. We assume that the network linkages are exogenously provided. This extension of the model allows a better understanding of the causes of systematic risk and shows that (i) network exposures act as an inflating factor for systematic exposure to common factors and (ii) the power of diversification is reduced by the presence of network connections. Moreover, we show that in the presence of network links a misspecified traditional linear factor model presents residuals that are correlated and heteroskedastic. We support our claims with an extensive simulation experiment.
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.
Causality is a widely-used concept in theoretical and empirical economics. The recent financial economics literature has used Granger causality to detect the presence of contemporaneous links between financial institutions and, in turn, to obtain a network structure. Subsequent studies combined the estimated networks with traditional pricing or risk measurement models to improve their fit to empirical data. In this paper, we provide two contributions: we show how to use a linear factor model as a device for estimating a combination of several networks that monitor the links across variables from different viewpoints; and we demonstrate that Granger causality should be combined with quantile-based causality when the focus is on risk propagation. The empirical evidence supports the latter claim.
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.
Das Clearing von Euro-OTC-Derivaten post Brexit – eine Analyse der vorliegenden Kostenschätzungen
(2017)
Im Zusammenhang mit dem Brexit wird über die Kosten einer Relokation des Clearing des Euro-OTC-Derivate-Geschäftes auf ein EU-CCP diskutiert. Das vorliegende Papier zeigt, dass die bislang vorliegenden Kostenschätzungen, die von Kosten in Höhe von bis zu USD 100 Mrd. für einen Zeitraum von fünf Jahren ausgehen, viel zu hoch sind. Die erwarteten Kosten einer Relokation liegen vielmehr bei ca. USD 0,6 Mrd. p.a. bzw. ca. USD 3,2 Mrd. für eine Übergangsphase von fünf Jahren. Angesichts der hohen Bedeutung von systemrelevanten CCPs für die Stabilität der Eurozone sollten diese Kosten nicht entscheidungsrelevant für eine Relokation sein.
In the context of the upcoming Brexit, a relocation of the clearing of euro-OTC derivatives for EU-based firms is the subject of controversial discussion. The opponents of a relocation argue that a relocation would cause additional costs for market participants of up to USD 100 bn over a period of 5 years. This paper shows that this cost estimate is fairly unrealistic and that relocation costs would amount to approximately USD 0.6 bn p.a., which translates to cumulative costs of around USD 3.2 bn for a transition period of 5 years. In light of the strategic importance of systemically relevant CCPs for the financial stability of the eurozone, the potential relocation costs should not be a decision criterion.
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.
The level of capital tax gains has high explanatory power regarding the question of what drives economic inequality. On this basis, the authors develop a simple, yet micro-founded portfolio selection model to explain the dynamics of wealth inequality given empirical tax series in the US. The results emphasize that the level and the transition of speed of wealth inequality depend crucially on the degree of capital taxation. The projections predict that – continuing on the present path of capital taxation in the US – the gap between rich and poor is expected to shrink whereas “massive” tax cuts will further increase the degree of wealth concentration.
Asymmetric social norms
(2017)
Studies of cooperation in infinitely repeated matching games focus on homogeneous economies, where full cooperation is efficient and any defection is collectively sanctioned. Here we study heterogeneous economies where occasional defections are part of efficient play, and show how to support those outcomes through contagious punishments.
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.
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.
The international diffusion of technology plays a key role in stimulating global growth and explaining co-movements of international equity returns. Existing empirical evidence suggests that countries are heterogeneous in their attitude toward innovation: Some countries rely more on technology adoption while other countries rely more on internal technology production. European countries that rely more on adoption are also typically characterized by lower fiscal policy exibility and higher labor market rigidity. We develop a two-country model – where both countries rely on R&D and adoption – to study the short-run and long-run effects of aggregate technology and adoption probability shocks on economic growth in the presence of the aforementioned asymmetries. Our framework suggests that an increase in the ability to adopt technology from abroad stimulates economic growth in the country that benefits from higher adoption rates but the beneficial effects also spread to the foreign country. Moreover, it helps explaining the differences in macro quantities and equity returns observed in the international data.
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.
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.
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.
We shed new light on the macroeconomic effects of rising temperatures. In the data, a shock to global temperature dampens expenditures in research and development (R&D). We rationalize this empirical evidence within a stochastic endogenous growth model, featuring temperature risk and growth sustained through innovations. In line with the novel evidence in the data, temperature shocks undermine economic growth via a drop in R&D. Moreover, in our endogenous growth setting temperature risk generates non-negligible welfare costs (i.e., 11% of lifetime utility). An active government, which is committed to a zero fiscal deficit policy, can offset the welfare costs of global temperature risk by subsidizing the aggregate capital investment with one-fifth of total public spending.
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.
Fleckenstein et al. (2014) document that nominal Treasuries trade at higher prices than inflation-swapped indexed bonds, which exactly replicate the nominal cash flows. We study whether this mispricing arises from liquidity premiums in inflation-indexed bonds (TIPS) and inflation swaps. Using US data, we show that the level of liquidity affects TIPS, whereas swap yields include a liquidity risk premium. We also allow for liquidity effects in nominal bonds. These results are based on a model with a systematic liquidity risk factor and asset-specific liquidity characteristics. We show that these liquidity (risk) premiums explain a substantial part of the TIPS underpricing.
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.
The Capital Markets Union-project of the European Commission aims for an increase of marketbased debt financing of small and medium-sized enterprises (SMEs), complementing bank lending. In this essay we argue that rather than focussing on pure non-bank lending, a reasonable mix of bankand market-based financing should be considered. Banks are said to have a comparative advantage in critical lending functions such as credit screening, debtor monitoring and debt renegotiation. All forms of lending require a persistent skin-in-the-game of critical players in order to be effective. The regulator should insist on full disclosure of skin-in-the-game, thereby improving capital allocation and reducing systemic risks.
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.
Low probability events are overweighted in the pricing of out-of the-money index puts and single stock calls. We find that this behavioral bias is strongly time-varying, linked to equity market sentiment, and higher moments of the risk-neutral density. An implied volatility (IV) sentiment measure that is jointly derived from index and single stock options explains investors' overweight of tail events the best. Our findings also suggest that IV-sentiment predicts equity markets reversals better than overweight of small probabilities itself. When employed in a trading strategy, IV-sentiment delivers economically significant results, which are more consistent than the ones produced by the market sentiment factor. The joint use of information from the single stock and index option markets seems to explain the forecasting power of IV-sentiment. Out-of-sample tests on reversal prediction show that our IV-sentiment measure adds value over and above traditional factors in the equity risk premium literature, especially as an equity-buying signal. This reversals prediction seems to improve time-series and cross-sectional momentum strategies.
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.
On 15 August 2017, the Bundesverfassungsgericht (BVerfG) referred the case against the European Central Bank’s policy of Quantitative Easing (QE) to the European Court of Justice (ECJ). The author argues that this event differs in several aspects from the OMT case in 2015 – in content as well as in form. The BVerfG recognizes that it is a legitimate goal of the ECB’s monetary policy to bring inflation up close to 2%, and that the instrument employed for QE is one of monetary policy. However, it doubts whether the sheer volume of QE would not distort the character of the program as one of monetary policy. The ECJ will now have to clarify the extent to which the ECJ’s findings in its OMT judgment are relevant for QE as well as the standard of review applicable to monetary policy. The author raises the questions of whether the principle of democracy under German constitutional law can actually provide the standard by which the ECB is to be measured, and how tight judicial review could be exercised over the ECB without encroaching upon its autonomy in monetary policy matters – and thus upon the very essence of central bank independence.
We compare the cost effectiveness of two pronatalist policies:
(a) child allowances; and
(b) daycare subsidies.
We pay special attention to estimating how intended fertility (fertility before children are born) responds to these policies. We use two evaluation tools:
(i) a dynamic model on fertility, labor supply, outsourced childcare time, parental time, asset accumulation and consumption; and
(ii) randomized vignette-survey policy experiments.
We implement both tools in the United States and Germany, finding consistent evidence that daycare subsidies are more cost effective. Nevertheless, the required public expenditure to increase fertility to the replacement level might be viewed as prohibitively high.
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.
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.
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 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 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.
Empirical evidence suggests that investments in research and development (R&D) by older and larger firms are more spread out internationally than R&D investments by younger and smaller firms. In this paper, I explore the quantitative implications of this type of heterogeneity by assuming that incumbents, i.e. current monopolists engaging in incremental innovation, have a higher degree of internationalization in their R&D technologies than entrants, i.e. new firms engaging in radical innovation, in a two-country endogenous growth general equilibrium model. In particular, this assumption allows the model to break the perfect correlation between incumbents’ and entrants’ innovation probabilities and to match the empirical counterpart exactly.
Coming (great) events cast their (long) shadow before. As the financial crisis gave birth to the creation of the European System of Financial Supervision (ESFS), the imminent Brexit now serves as an impulse to rather extensively reorganize it. Pursuant to the preferences of the Commission—as revealed in its draft for a regulation amending the regulations founding the European Supervisory Authorities (ESA)—the supervision (and regulation) of the financial sectors should be further centralized and integrated and additional powers should be given to the ESAs. To a large degree these alterations are intended to adjust the competences of the European Securities and Markets Authority (ESMA) to better meet its new objectives under the Capital Markets Union (“CMU”). In view that an equivalent to the CMU or the Banking Union—in the sense of a European Insurance Union—is not yet on the horizon for the insurance sector (or the occupational pensions sector), one could prima vista take the view that insurance supervision and regulation is once again taken captive by the necessity of regulatory reforms stemming from other financial sectors. However, even if that is partially the case, the outcome of the intended reforms might still be advantageous for the insurance sector and an important step in the right direction. Therefore, it needs to be intensively discussed.
At this stage, some of the most prominent envisioned changes to the structure, tasks and powers of the European Insurance and Occupational Pensions Authority (EIOPA) and their necessity, usefulness or counter-productivity still have to be examined.
The publication of the Liikanen Group's final report in October 2012 was surrounded by high expectations regarding the implementation of the reform plans through the proposed measures that reacted to the financial and sovereign debt crises. The recommendations mainly focused on introducing a mild version of banking separation and the creation of the preconditions for bail-in measures. In this article, we present an overview of the regulatory reforms, to which the financial sector has been subject over the past years in accordance with the concepts laid out in the Liikanen Report. It becomes clear from our assessment that more specific steps have yet to be taken before the agenda is accomplished. In particular, bail-in rules must be implemented more consistently. Beyond the question of the required minimum, the authors develop the notion of a maximum amount of liabilities subject to bail-in. The combination of both components leads to a three-layer structure of bank capital: a bail-in tranche, a deposit-insured bailout tranche, and an intermediate run-endangered mezzanine tranche. The size and treatment of the latter must be put to a political debate that weighs the costs and benefits of a further increase in financial stability beyond that achieved through loss-bearing of the bail-in tranche.
According to the Bank Recovery and Resolution Directive (BRRD), introduced as a lesson from the recent financial crisis, the losses a failing bank incurred should generally be borne by its investors. Before a minimum bail-in has occurred, government money can only be injected in emergency cas-es to remedy a serious disturbance in the economy and to preserve financial stability. This policy letter argues that in case of the Italian Bank Monte dei Paschi di Siena (MPS), which the Italian gov-ernment currently plans to bail out, a resolution would most likely not cause such a systemic event. A bailout contrary to the existing rules will lead to a mispricing of bank capital and retard the re-structuring of the European banking sector, the authors write. They appeal to the European Central Bank, the Systemic Risk Board and the EU Commission to follow the rules as the test-case MPS will have a direct impact on the credibility of the new BRRD regime and the responsible institutions.
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.
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.
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.
Effective market discipline incentivizes financial institutions to limit their risk-taking behavior, making it a key element for financial regulation. However, without adequate incentives to monitor and control the risk-taking behavior of financial institutions market discipline erodes. As a consequence, bailing out financial institutions, as happened unprecedentedly during the recent financial crisis, may impose indirect costs to financial stability if bailout expectations of investors change. Analyzing US data covering the period between 2004 and 2014, Hett und Schmidt (2017) find that market participants adjusted their bailout expectations in response to government interventions, undermining market discipline mechanisms. Given these findings, policymakers need to take into account the potential effects on market discipline when deciding about public support to troubled financial institutions in the future. Considering the parallelism of events and public responses during the financial crisis as well as the recent developments of Italian banks, these results not only concern the US, but also have important implications for European financial markets and policy makers.
This paper aims to analyze the effects of financial constraints and the financial crisis on the financing and investment policies of newly founded firms. Thereby, the analysis adds important new insights on a crucial segment of the economy. We make use of a large and comprehensive data set of French firms founded in the years 2004-2006, i.e. well before the financial crisis. Our panel data analysis shows that the global financial crisis imposed a shock (mostly demand-driven) on the financing as well as on the investments of these firms. Moreover, we find that financially constrained firms use less external debt financing and invest smaller amounts. They also rely on less trade credit. With regard to bank financing, newly founded firms which are more financially constrained accumulate less bank debt and repay initial bank debt slower than their non-financially constraint counterparts. Finally, we find that financially constrained firms are affected to a smaller degree by the financial crisis than their less financially constrained counterparts.
This Chapter explores how an environment of persistent low returns influences saving, investing, and retirement behaviors, as compared to what in the past had been thought of as more “normal” financial conditions. Our calibrated lifecycle dynamic model with realistic tax, minimum distribution, and Social Security benefit rules produces results that agree with observed saving, work, and claiming age behavior of U.S. households. In particular, our model generates a large peak at the earliest claiming age at 62, as in the data. Also in line with the evidence, our baseline results show a smaller second peak at the (system-defined) Full Retirement Age of 66. In the context of a zero-return environment, we show that workers will optimally devote more of their savings to non-retirement accounts and less to 401(k) accounts, since the relative appeal of investing in taxable versus tax-qualified retirement accounts is lower in a low return setting. Finally, we show that people claim Social Security benefits later in a low interest rate environment.
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.
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.