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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 would study not style as such, but style 'at the scale of the sentence': the lowest level, it seemed, at which style as a distinct phenomenon became visible. Implicitly, we were defining style as a combination of smaller linguistic units, which made it, in consequence, particularly sensitive to changes in scale—from words to clauses to whole sentences.
This paper is the report of a study conducted by five people – four at Stanford, and one at the University of Wisconsin – which tried to establish whether computer-generated algorithms could "recognize" literary genres. You take 'David Copperfield', run it through a program without any human input – "unsupervised", as the expression goes – and ... can the program figure out whether it's a gothic novel or a 'Bildungsroman'? The answer is, fundamentally, Yes: but a Yes with so many complications that it is necessary to look at the entire process of our study. These are new methods we are using, and with new methods the process is almost as important as the results.
We study the information flow from the ECB on policy dates since its inception, using tick data. We show that three factors capture about all of the variation in the yield curve but that these are different factors with different variance shares in the window that contains the policy decision announcement and the window that contains the press conference. We also show that the QE-related policy factor has been dominant in the recent period and that Forward Guidance and QE effects have been very persistent on the longer-end of the yield curve. We further show that broad and banking stock indices' responses to monetary policy surprises depended on the perceived nature of the surprises. We find no evidence of asymmetric responses of financial markets to positive and negative surprises, in contrast to the literature on asymmetric real effects of monetary policy. Lastly, we show how to implement our methodology for any policy-related news release, such as policymaker speeches. To carry out the analysis, we construct the Euro Area Monetary Policy Event- Study Database (EA-MPD). This database, which contains intraday asset price changes around the policy decision announcement as well as around the press conference, is a contribution on its own right and we expect it to be the standard in monetary policy research for the euro area.
We investigate whether government credit guarantee schemes, extensively used at the onset of the Covid-19 pandemic, led to substitution of non-guaranteed with guaranteed credit rather than fully adding to the supply of lending. We study this issue using a unique euro-area credit register data, matched with supervisory bank data, and establish two main findings. First, guaranteed loans were mostly extended to small but comparatively creditworthy firms in sectors severely affected by the pandemic, borrowing from large, liquid and well-capitalized banks. Second, guaranteed loans partially substitute pre-existing non-guaranteed debt. For firms borrowing from multiple banks, the substitution mainly arises from the lending behavior of the bank extending guaranteed loans. Substitution was highest for funding granted to riskier and smaller firms in sectors more affected by the pandemic, and borrowing from larger and stronger banks. Overall, the evidence indicates that government guarantees contributed to the continued extension of credit to relatively creditworthy firms hit by the pandemic, but also benefited banks’ balance sheets to some extent.
Using novel monthly data for 226 euro-area banks from 2007 to 2015, we investigate the determinants of changes in banks’ sovereign exposures and their effects during and after the crisis. First, public, bailed out and poorly capitalized banks responded to sovereign stress by purchasing domestic public debt more than other banks, with public banks’ purchases growing especially in coincidence with the largest ECB liquidity injections. Second, bank exposures significantly amplified the transmission of risk from the sovereign and its impact on lending. This amplification of the impact on lending does not appear to arise from spurious correlation or reverse causality.
In this paper we develop empirical measures for the strength of spillover effects. Modifying and extending the framework by Diebold and Yilmaz (2011), we quantify spillovers between sovereign credit markets and banks in the euro area. Spillovers are estimated recursively from a vector autoregressive model of daily CDS spread changes, with exogenous common factors. We account for interdependencies between sovereign and bank CDS spreads and we derive generalised impulse response functions. Specifically, we assess the systemic effect of an unexpected shock to the creditworthiness of a particular sovereign or country-specific bank index to other sovereign or bank CDSs between October 2009 and July 2012. Channels of transmission from or to sovereigns and banks are aggregated as a Contagion index (CI). This index is disentangled into four components, the average potential spillover: i) amongst sovereigns, ii) amongst banks, iii) from sovereigns to banks, and iv) vice-versa. We highlight the impact of policy-related events along the different components of the contagion index. The systemic contribution of each sovereign or banking group is quantified as the net spillover weight in the total net-spillover measure. Finally, the captured time-varying interdependence between banks and sovereigns emphasises the evolution of their strong nexus.
What processes transform (im)mobile individuals into ‘migrants’ and geographic movements across political-territorial borders into ‘migration’? To address this question, the article develops the doing migration approach, which combines perspectives from social constructivism, praxeology and the sociologies of knowledge and culture. ‘Doing migration’ starts with the processes of social attribution that differentiate between ‘migrants’ and ‘non-migrants’. Embedded in institutional, organizational and interactional routines these attributions generate unique social orders of migration. By illustrating these conceptual ideas, the article provides insights into the elements of the contemporary European order of ‘migration’. Its institutional routines contribute to the emergence of a European migration regime that involves narratives of economization, securitization and humanitarization. The organizational routines of the European migration order involve surveillance and diversity management, which have disciplining effects on those defined as ‘migrants’. The routines of everyday face-to-face interactions produce various micro-forms of doing ‘migration’ through stigmatization and othering, but they also provide opportunities to resist a social attribution as ‘migrant’.
Volatility forecasting
(2005)
Volatility has been one of the most active and successful areas of research in time series econometrics and economic forecasting in recent decades. This chapter provides a selective survey of the most important theoretical developments and empirical insights to emerge from this burgeoning literature, with a distinct focus on forecasting applications. Volatility is inherently latent, and Section 1 begins with a brief intuitive account of various key volatility concepts. Section 2 then discusses a series of different economic situations in which volatility plays a crucial role, ranging from the use of volatility forecasts in portfolio allocation to density forecasting in risk management. Sections 3, 4 and 5 present a variety of alternative procedures for univariate volatility modeling and forecasting based on the GARCH, stochastic volatility and realized volatility paradigms, respectively. Section 6 extends the discussion to the multivariate problem of forecasting conditional covariances and correlations, and Section 7 discusses volatility forecast evaluation methods in both univariate and multivariate cases. Section 8 concludes briefly. JEL Klassifikation: C10, C53, G1.
What do academics have to offer market risk management practitioners in financial institutions? Current industry practice largely follows one of two extremely restrictive approaches: historical simulation or RiskMetrics. In contrast, we favor flexible methods based on recent developments in financial econometrics, which are likely to produce more accurate assessments of market risk. Clearly, the demands of real-world risk management in financial institutions - in particular, real-time risk tracking in very high-dimensional situations - impose strict limits on model complexity. Hence we stress parsimonious models that are easily estimated, and we discuss a variety of practical approaches for high-dimensional covariance matrix modeling, along with what we see as some of the pitfalls and problems in current practice. In so doing we hope to encourage further dialog between the academic and practitioner communities, hopefully stimulating the development of improved market risk management technologies that draw on the best of both worlds.
A rapidly growing literature has documented important improvements in volatility measurement and forecasting performance through the use of realized volatilities constructed from high-frequency returns coupled with relatively simple reduced-form time series modeling procedures. Building on recent theoretical results from Barndorff-Nielsen and Shephard (2003c,d) for related bi-power variation measures involving the sum of high-frequency absolute returns, the present paper provides a practical framework for non-parametrically measuring the jump component in realized volatility measurements. Exploiting these ideas for a decade of high-frequency five-minute returns for the DM/$ exchange rate, the S&P500 market index, and the 30-year U.S. Treasury bond yield, we find the jump component of the price process to be distinctly less persistent than the continuous sample path component. Explicitly including the jump measure as an additional explanatory variable in an easy-to-implement reduced form model for realized volatility results in highly significant jump coefficient estimates at the daily, weekly and quarterly forecast horizons. As such, our results hold promise for improved financial asset allocation, risk management, and derivatives pricing, by separate modeling, forecasting and pricing of the continuous and jump components of total return variability.
We characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. Our analysis is based on a unique data set of high-frequency futures returns for each of the markets. We find that news surprises produce conditional mean jumps; hence high-frequency stock, bond and exchange rate dynamics are linked to fundamentals. The details of the linkages are particularly intriguing as regards equity markets. We show that equity markets react differently to the same news depending on the state of the economy, with bad news having a positive impact during expansions and the traditionally-expected negative impact during recessions. We rationalize this by temporal variation in the competing "cash flow" and "discount rate" effects for equity valuation. This finding helps explain the time-varying correlation between stock and bond returns, and the relatively small equity market news effect when averaged across expansions and recessions. Lastly, relying on the pronounced heteroskedasticity in the high-frequency data, we document important contemporaneous linkages across all markets and countries over-and-above the direct news announcement effects. JEL Klassifikation: F3, F4, G1, C5
We selectively survey, unify and extend the literature on realized volatility of financial asset returns. Rather than focusing exclusively on characterizing the properties of realized volatility, we progress by examining economically interesting functions of realized volatility, namely realized betas for equity portfolios, relating them both to their underlying realized variance and covariance parts and to underlying macroeconomic fundamentals.
A large literature over several decades reveals both extensive concern with the question of time-varying betas and an emerging consensus that betas are in fact time-varying, leading to the prominence of the conditional CAPM. Set against that background, we assess the dynamics in realized betas, vis-à-vis the dynamics in the underlying realized market variance and individual equity covariances with the market. Working in the recently-popularized framework of realized volatility, we are led to a framework of nonlinear fractional cointegration: although realized variances and covariances are very highly persistent and well approximated as fractionally-integrated, realized betas, which are simple nonlinear functions of those realized variances and covariances, are less persistent and arguably best modeled as stationary I(0) processes. We conclude by drawing implications for asset pricing and portfolio management. JEL Klassifikation: C1, G1
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.
This paper analyses two reasons why inflation may interfere with price adjustment so as to create inefficiencies in resource allocation at low rates of inflation. The first argument is that the higher the rate of inflation the lower the likelihood that downward nominal rigidities are binding (the Tobin argument) which implies a non-linear Phillips-curve. The second argument is that low inflation strengthens nominal price rigidities and thus impairs the flexibility of the price system resulting in a less efficient resource allocation. It is argued that inflation can be too low from a welfare point of view due to the presence of nominal rigidities, but the quantitative importance is an open question.
We investigate the characteristics of infrastructure as an asset class from an investment perspective of a limited partner. While non U.S. institutional investors gain exposure to infrastructure assets through a mix of direct investments and private fund vehicles, U.S. investors predominantly invest in infrastructure through private funds. We find that the stream of cash flows delivered by private infrastructure funds to institutional investors is very similar to that delivered by other types of private equity, as reflected by the frequency and amounts of net cash flows. U.S. public pension funds perform worse than other institutional investors in their infrastructure fund investments, although they are exposed to underlying deals with very similar project stage, concession terms, ownership structure, industry, and geographical location. By selecting funds that invest in projects with poor financial performance, U.S. public pension funds have created an implicit subsidy to infrastructure as an asset class, which we estimate within the range of $730 million to $3.16 billion per year depending on the benchmark.
Shallow meritocracy
(2023)
Meritocracies aspire to reward hard work and promise not to judge individuals by the circumstances into which they were born. However, circumstances often shape the choice to work hard. I show that people's merit judgments are "shallow" and insensitive to this effect. They hold others responsible for their choices, even if these choices have been shaped by unequal circumstances. In an experiment, US participants judge how much money workers deserve for the effort they exert. Unequal circumstances disadvantage some workers and discourage them from working hard. Nonetheless, participants reward the effort of disadvantaged and advantaged workers identically, regardless of the circumstances under which choices are made. For some participants, this reflects their fundamental view regarding fair rewards. For others, the neglect results from the uncertain counterfactual. They understand that circumstances shape choices but do not correct for this because the counterfactual—what would have happened under equal circumstances—remains uncertain.
We document the individual willingness to act against climate change and study the role of social norms in a large sample of US adults. Individual beliefs about social norms positively predict pro-climate donations, comparable in strength to universal moral values and economic preferences such as patience and reciprocity. However, we document systematic misperceptions of social norms. Respondents vastly underestimate the prevalence of climate-friendly behaviors and norms. Correcting these misperceptions in an experiment causally raises individual willingness to act against climate change as well as individual support for climate policies. The effects are strongest for individuals who are skeptical about the existence and threat of global warming.
This paper shows that support for climate action is high across survey participants from all EU countries in three dimensions: (1) Participants are willing to contribute personally to combating climate change, (2) they approve of pro-climate social norms, and (3) they demand government action. In addition, there is a significant perception gap where individuals underestimate others' willingness to contribute to climate action by over 10 percentage points, influencing their own willingness to act. Policymakers should recognize the broad support for climate action among European citizens and communicate this effectively to counteract the vocal minority opposed to it.
Investors' return expectations are pivotal in stock markets, but the reasoning behind these expectations remains a black box for economists. This paper sheds light on economic agents' mental models -- their subjective understanding -- of the stock market, drawing on surveys with the US general population, US retail investors, US financial professionals, and academic experts. Respondents make return forecasts in scenarios describing stale news about the future earnings streams of companies, and we collect rich data on respondents' reasoning. We document three main results. First, inference from stale news is rare among academic experts but common among households and financial professionals, who believe that stale good news lead to persistently higher expected returns in the future. Second, while experts refer to the notion of market efficiency to explain their forecasts, households and financial professionals reveal a neglect of equilibrium forces. They naively equate higher future earnings with higher future returns, neglecting the offsetting effect of endogenous price adjustments. Third, a series of experimental interventions demonstrate that these naive forecasts do not result from inattention to trading or price responses but reflect a gap in respondents' mental models -- a fundamental unfamiliarity with the concept of equilibrium.
Speculative news on corporate takeovers may hurt productivity because uncertainty and threat of job loss cause anxiety, distraction, and reduced collaboration and morale among employees and managers. Using a panel of OECD-headquartered firms, we show that firm productivity temporarily declines upon announcements of speculative takeover rumors that do not materialize. This productivity dip is more pronounced for targets and for firms in countries with weaker employee rights and less long-term orientation. Abnormal stock returns mirror these results. The evidence fosters our understanding of potential real effects of speculative financial news and the costs of takeover threats.
This paper studies the impact of the concentration of control, the type of controlling shareholder and the dividend tax preference of the controlling shareholder on dividend policy for a panel of 220 German firms over 1984-2005. While the concentration of control does not have an effect on the dividend payout, there is strong evidence that the type of controlling shareholder matters as family controlled firms have high dividend payouts whereas bank controlled firms have low dividend payouts. However, there is no evidence that the dividend preference of the large shareholder has an impact on the dividend decision. JEL Classification: G32, G35 Keywords: Dividend Policy, Payout Policy, Lintner Dividend Model, Tax Clientele Effects, Corporate Governance
Recent advances in natural language processing have contributed to the development of market sentiment measures through text content analysis in news providers and social media. The effectiveness of these sentiment variables depends on the imple- mented techniques and the type of source on which they are based. In this paper, we investigate the impact of the release of public financial news on the S&P 500. Using automatic labeling techniques based on either stock index returns or dictionaries, we apply a classification problem based on long short-term memory neural networks to extract alternative proxies of investor sentiment. Our findings provide evidence that there exists an impact of those sentiments in the market on a 20-minute time frame. We find that dictionary-based sentiment provides meaningful results with respect to those based on stock index returns, which partly fails in the mapping process between news and financial returns.
Discussions about the banking union have restarted. Its success so far is limited: national banking sectors are still overwhelmingly exposed to their own countries’ economies, cross border banking has not increased and capital and liquidity remain locked within national boundaries. The policy letter highlights that the current debate, centered on sovereign exposures and deposit insurance, misses critical underlying problems in the supervision and resolution frameworks. The ECB supervisors’ efforts to facilitate cross-border banking have been hampered by national ringfencing. The resolution framework is not up to its task: limited powers of the SRB, prohibitive access conditions and limited size of the Single Resolution Fund limit its effectiveness. A lack of a coherent European framework for insolvency unlevels the regulatory field and creates incentives to bypass European rules. The new Commission and European Parliament, with the new ECB leadership, provide a unique opportunity to address these shortcomings and make the banking union work.
There is much discussion today about a possible digital euro (PDE). Is this attention exaggerated? Are “central bank digital currencies” (CBDCs) “a solution in search of a problem”, as some have argued? This article summarizes the main facts about the PDE and concludes that, if the decision on adoption had to be taken today, the arguments against would outweigh those in favor. However, there may be future circumstances in which having a CBDC ready for use can indeed be useful. Therefore, preparing is a good thing, even if the odds of its usefulness in normal conditions are slim.
In its first ten years (2014-2023), the banking union was successful in its prudential agenda but failed spectacularly in its underlying objective: establishing a single banking market in the euro area. This goal is now more important than ever, and easier to attain than at any time in the last decade. To make progress, cross-border banks should receive a specific treatment within general banking union legislation. Suggestions are made on how to make such regulatory carve-out effective and legally sound.
This policy note summarizes our assessment of financial sanctions against Russia. We see an increase in sanctions severity starting from (1) the widely discussed SWIFT exclusions, followed by (2) blocking of correspondent banking relationships with Russian banks, including the Central Bank, alongside secondary sanctions, and (3) a full blacklisting of the ‘real’ export-import flows underlying the financial transactions. We assess option (1) as being less impactful than often believed yet sending a strong signal of EU unity; option (2) as an effective way to isolate the Russian banking system, particularly if secondary sanctions are in place, to avoid workarounds. Option (3) represents possibly the most effective way to apply economic and financial pressure, interrupting trade relationships.
We assess, through VAR evidence, the effects of monetary policy on banks’ risk exposure and find the presence of a risk-taking channel. A model combining fragile banks prone to risk mis-incentives and credit constrained firms, whose collateral fluctuations generate a balance sheet channel, is used to rationalize the evidence. A monetary expansion increases bank leverage. With two consequences: on the one side this exacerbates risk exposure; on the other, the risk spiral depresses output, therefore dampening the conventional amplification effect of the financial accelerator.
We assess the effects of monetary policy on bank risk to verify the existence of a risk-taking channel - monetary expansions inducing banks to assume more risk. We first present VAR evidence confirming that this channel exists and tends to concentrate on the bank funding side. Then, to rationalize this evidence we build a macro model where banks subject to runs endogenously choose their funding structure (deposits vs. capital) and risk level. A monetary expansion increases bank leverage and risk. In turn, higher bank risk in steady state increases asset price volatility and reduces equilibrium output.
Exit strategies
(2010)
We study alternative scenarios for exiting the post-crisis fiscal and monetary accommodation using the model of Angeloni and Faia (2010), that combines a standard DSGE framework with a fragile banking sector, suitably modified and calibrated for the euro area. Credibly announced and fast fiscal consolidations dominate – based on simple criteria – alternative strategies incorporating various degrees of gradualism and surprise. The fiscal adjustment should be based on spending cuts or else be relatively skewed towards consumption taxes. The phasing out of monetary accommodation should be simultaneous or slightly delayed. We also find that, contrary to widespread belief, Basel III may well have an expansionary macroeconomic effect. Keywords: Exit Strategies , Debt Consolidation , Fiscal Policy , Monetary Policy , Capital Requirements , Bank Runs JEL Classification: G01, E63, H12
Exit strategies
(2014)
We study alternative scenarios for exiting the post-crisis fiscal and monetary accommodation using a macromodel where banks choose their capital structure and are subject to runs. Under a Taylor rule, the post-crisis interest rate hits the zero lower bound (ZLB) and remains there for several years. In that condition, pre-announced and fast fiscal consolidations dominate - based on output and inflation performance and bank stability - alternative strategies incorporating various degrees of gradualism and surprise. We also examine an alternative monetary strategy in which the interest rate does not reach the ZLB; the benefits from fiscal consolidation persist, but are more nuanced.
We present new statistical indicators of the structure and performance of US banks from 1990 to today, geographically disaggregated at the level of individual counties. The constructed data set (20 indicators for some 3150 counties over 31 years, for a total of about 2 million data points) conveys a detailed picture of how the geography of US banking has evolved in the last three decades. We consider the data as a stepping stone to understand the role banks and banking policies may have played in mitigating, or exacerbating, the rise of poverty and inequality in certain US regions.
This study examines the particularities of multilingual discourse, based on the example of recorded conversations in a trilingual family in Canada. It combines two different fields of linguistic research: multilingualism and conversation analysis. The study of multilingualism has developed into a popular field of linguistic research over the past two decades. In general, it focuses on bilingualism as a social and individual phenomenon, and in particular on the alternation between two languages in the speech of bilinguals. For this alternation, the term code-switching is widely used. Usually, the term refers to language alternation both between sentences and within sentence boundaries. From a sociolinguistic perspective code-switching is often interpreted as a means of signaling group membership in bilingual communities, whereas grammatical analyses examine how morphosyntactic units from different languages are combined (and can be combined) within one sentence. Auer (1998: 3) suggests the study of the conversational structure of code-switching as a third perspective on bilingual language usage, one that he claims has been widely neglected by linguistic research in the past. In particular, those cases of language alternation between utterances (sentences) but within the same conversation cannot be described adequately from either a macro-sociolinguistic or a morphosyntactic perspective.
Analysis of Lambda and associative pion production in relativistic nucleus-nucleus collisions
(1984)
After the pioneering German “Aktiengesetz” of 1965 and the Brazilian “Lei das Sociedades Anónimas” of 1976, Portugal has become the third country in the world to enact a specific regulation on groups of companies. The Code of Commercial Companies (“Código das Sociedades Comerciais”, abbreviately hereinafter CSC), enacted in 1986, contains a unitary set of rules regulating the relationships between companies, in general, and the groups of companies, in particular (arts. 481° to 508°-E CSC). With this set of rules, the Portuguese legislator has dealt with one of the major topics of modern Company Law. While this branch of law is traditionally conceived as the law of the individual company, modern economic reality is characterized by the massive emergence of large-scale enterprise networks, where parts of a whole business are allocated and insulated in several legally independent companies submitted to an unified economic direction. As Tom HADDEN put it: “Company lawyers still write and talk as if the single independent company, with its shareholders, directors and employees, was the norm. In reality, the individual company ceased to be the most significant form of organization in the 1920s and 1930s. The commercial world is now dominated both nationally and internationally by complex groups of companies”. This trend, which is now observable in any of the largest economies in the world, holds also true for small markets such as Portugal. Although Portuguese economy is still dominated by small and medium-sized enterprises, the organizational structure of the group has always been extremely common. During the 70s, it was estimated that the seven largest groups of companies owned about 50% of the equity capital of all domestic enterprises and were alone responsible for 3/4 of the internal national product. Such a trend has continued and even highlighted in the next decades, surviving to different political and economic scenarios: during the 80s, due to the process of state nationalization of these groups, an enormous public group with more than one thousand controlled companies has been created (“IPE - Instituto de Participações do Estado”); and during the 90s until today, thanks to the reprivatisation movement and the opening of our national market, we assisted to the re-emergence of some large private groups, composed of several hundred subsidiaries each, some of which are listed in foreign stock exchange markets (e.g., in the banking sector, “BCP – Banco Comercial Português”, in the industrial area, “SONAE”, and in the media and communication area, “Portugal-Telecom”).
The Pantanal is a wetland biome in the interior of Brazil. It is known for its rich macrofauna. Botanically, it is relatively species poor, although the marshes have trees and shrubs throughout and there are occasional forested, even somewhat rocky hills. Lichens have received only scant attention so far, but the area is not very species rich (Canêz et al. 2020). We visited the Pantanal several times and collected in different areas. Here we describe four new species, one of which is locally the most common macrolichen, which was found on places elsewhere in the state and in the bordering state of Mato Grosso as well.
Nine species of Graphidaceae are described as new to science from South and Central Brazil, in 7 different genera: Acanthothecis normuralis, A. psoromica, Acanthotrema minus, Aggregatorygma submuriforme, Allographa medioinspersa, Diorygma isidiolichexanthonicum, Fissurina excavatisorediosa, Graphis norsorediata, and Graphis tricolor.
Based on recent records, 89 lichen species are reported as new to Brazil. For the genera Ancistrosporella, Jamesiella, Lambiella, Paulia, Polyblastia, Porocyphus, and Trimmatothele, it is the first time they are reported from Brazil. Many more, in total 523 species, are newly reported from individual states.
Eleven species of lichens are described as new from the Serra do Bodoquena in Mato Grosso do Sul (Brazil): Alyxoria cyanea, Astrothelium ochraceum, Chiodecton xanthonosorediatum, Gyalecta perithecioidea, Gyalecta uniseptata, Pyrenula rubroacutispora, Ramonia xylophila, Synarthonia xanthosarcographoides, Trypethelium aureornatum, Trypethelium endoflavum, and Trypethelium xanthostiolornatum. Around 400 further species are reported, of which 27 are first records for Brazil and 265 are first records for the state.
Four new Astrothelium species and a Mazaediothecium from Várzea areas in Mato Grosso do Sul, Brazil
(2020)
Five species of lichens are described as new from Várzea areas in Mato Grosso do Sul (Brazil): Astrothelium fernandae, A. pseudodermatodes, A. septoconicum, A. xanthopseudocyphellatum, and Mazaediothecium serendipiticum, the latter being deviating from all other species in its order by the at least morphologically chlorococcoid photobiont. Further, we found 226 identifiable species in the Várzea reserve near Jateí and 47 on a farm near Naviraí. Of these, 15 are new records for Brazil and a further 88 are first reports from the state.
Six species of lichens are described as new from Santa Catarina and Rio Grande do Sul (Brazil): Astrothelium aureoirregulare Aptroot & Gumboski, Bogoriella xantholateralis Aptroot, Lecanora umbilicatimmersa Aptroot & Spielmann, Lepra lichexanthonorstictica Aptroot, Megalaria flavosorediata Aptroot and Vainionora sorediata Aptroot. Moreover, 28 further species are reported which are first records for Brazil; and a further 166 are first records for Santa Catarina and 104 for Rio Grande do Sul.
We examine the impact of so-called "Crisis Contracts" on bank managers' risk-taking incentives and on the probability of banking crises. Under a Crisis Contract, managers are required to contribute a pre-specified share of their past earnings to finance public rescue funds when a crisis occurs. This can be viewed as a retroactive tax that is levied only when a crisis occurs and that leads to a form of collective liability for bank managers. We develop a game-theoretic model of a banking sector whose shareholders have limited liability, so that society at large will suffer losses if a crisis occurs. Without Crisis Contracts, the managers' and shareholders' interests are aligned, and managers take more than the socially optimal level of risk. We investigate how the introduction of Crisis Contracts changes the equilibrium level of risk-taking and the remuneration of bank managers. We establish conditions under which the introduction of Crisis Contracts will reduce the probability of a banking crisis and improve social welfare. We explore how Crisis Contracts and capital requirements can supplement each other and we show that the efficacy of Crisis Contracts is not undermined by attempts to hedge.
Classically, encoding of images by only a few, important components is done by the Principal Component Analysis (PCA). Recently, a data analysis tool called Independent Component Analysis (ICA) for the separation of independent influences in signals has found strong interest in the neural network community. This approach has also been applied to images. Whereas the approach assumes continuous source channels mixed up to the same number of channels by a mixing matrix, we assume that images are composed by only a few image primitives. This means that for images we have less sources than pixels. Additionally, in order to reduce unimportant information, we aim only for the most important source patterns with the highest occurrence probabilities or biggest information called „Principal Independent Components (PIC)“. For the example of a synthetic picture composed by characters this idea gives us the most important ones. Nevertheless, for natural images where no a-priori probabilities can be computed this does not lead to an acceptable reproduction error. Combining the traditional principal component criteria of PCA with the independence property of ICA we obtain a better encoding. It turns out that this definition of PIC implements the classical demand of Shannon’s rate distortion theory.
The efficient management of large multimedia databases requires the development of new techniques to process, characterize, and search for multimedia objects. Especially in the case of image data, the rapidly growing amount of documents prohibits a manual description of the images’ content. Instead, the automated characterization is highly desirable to support annotation and retrieval of digital images. However, this is a very complex and still unsolved task. To contribute to a solution of this problem, we have developed a mechanism for recognizing objects in images based on the query by example paradigm. Therefore, the most salient image features of an example image representing the searched object are extracted to obtain a scale-invariant object model. The use of this model provides an efficient and robust strategy for recognizing objects in images independently of their size. Further applications of the mechanism are classical recognition tasks such as scene decomposition or object tracking in video sequences.
This paper makes a case for the future development of European corporate law through regulatory competition rather than EC legislation. It is for the first time becoming legally possible for firms within the EU to select the national company law that they wish to govern their activities. A significant number of firms can be expected to exercise this freedom, and national legislatures can be expected to respond by seeking to make their company laws more attractive to firms. Whilst the UK is likely to be the single most successful jurisdiction in attracting firms, the presence of different models of corporate governance within Europe make it quite possible that competition will result in specialisation rather than convergence, and that no Member State will come to dominate as Delaware has done in the US. Procedural safeguards in the legal framework will direct the selection of laws which increase social welfare, as opposed simply to the welfare of those making the choice. Given that European legislators cannot be sure of the ‘optimal’ model for company law, the future of European company law-making would better be left with Member States than take the form of harmonized legislation.
Executive Stock Option Programs (SOPs) have become the dominant compensation instrument for top-management in recent years. The incentive effects of an SOP both with respect to corporate investment and financing decisions critically depend on the design of the SOP. A specific problem in designing SOPs concerns dividend protection. Usually, SOPs are not dividend protected, i.e. any dividend payout decreases the value of a manager’s options. Empirical evidence shows that this results in a significant decrease in the level of corporate dividends and, at the same time, into an increase in share repurchases. Yet, few suggestions have been made on how to account for dividends in SOPs. This paper applies arguments from principal-agent-theory and from the theory of finance to analyze different forms of dividend protection, and to address the relevance of dividend protection in SOPs. Finally, the paper relates the theoretical analysis to empirical work on the link between share repurchases and SOPs.