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This article analyses and compares the performance of regulators in the fields of finance and sport, especially cycling. I hypothesize that the courses of crises or scandals is the best time to study the lessons of regulatory response. First, I take into account the differences in both finance and cycling by looking at the nature of the rules and institutions governing the field. Second, I estimate the attention effect on new regulation in response to crises or scandals. The interest of the paper is in the alignment of incentives to prevent regulatory capture and to ensure accountability and enforceability. The paper concludes that the differences hold important lessons that call for the reform of rules and institutions governing finance and cycling alike.
This paper studies whether a monetary union needs a fical union in particular in the Eurozone. On 1 January 1999, despite controversial debates, the rule-based Economic and Monetary Union (EMU) started without a fiscal union. I show that there is weak economic convergence in the EMU since 18 years. In addition, I argue that a fiscal union does not solve the past disintegration failures.
I demonstrate that the major flaws are domestic policy failures and not institutional failures in the euro area. Consequently, establishing a monetary union without having a political union is a risky strategy. Indeed, the rule-based architecture of Maastricht is not guilty for the crisis alone. The root causes are the political flaws aligned with the rather weak enforcement of the rules. I propose a genuine redesign of the rule-based paradigm without a fiscal union. Yet a monetary union without a fiscal union works effectively if the rule enforcement is more automatic and independent of domestic and European policy-making.
This article is a review of the book "Brain computation as hierarchical abstraction" by Dana H. Ballard published by MIT press in 2015. The book series computational neuroscience familiarizes the reader with the computational aspects of brain functions based on neuroscientific evidence. It provides an excellent introduction of the functioning, i.e. the structure, the network and the routines of the brain in our daily life. The final chapters even discuss behavioral elements such as decision-making, emotions and consciousness. These topics are of high relevance in other sciences such as economics and philosophy. Overall, Ballard’s book stimulates a scientifically well-founded debate and, more importantly, reveals the need of an interdisciplinary dialogue towards social sciences.
This paper is a brief review on the book ‘Capital in the Twenty-First Century’ by the French scholar Thomas Piketty. The book has started a new debate about inequality and capital taxation in Europe. It provides interesting empirical facts and develops a theory of the functioning of capitalist economies. However, I personally think the book is less convincing than recognized in the public debate. The demonstrated theory of economic growth in the book is elusive and lacks a psychological and behavioral underpinning. In fact, I do think that the increasing inequality and economic divergence are caused by capitalism but the psychological and behavioral aspects of humans are of similar or greater significance. Therefore, Piketty’s argument does not stimulate an open and scientifically founded debate in all aspects.
This paper is a commentary on the book ‘Probability and stochastic processes’ from Ionut Florescu. The book is an excellent introduction to both probability theory and stochastic processes. It provides a comprehensive discussion of the main statistical concepts including the theorems and proofs. The introduction to probability theory is easy accessible and a perfect starting point for undergraduate students even with majors in other subjects than science, such as business or engineering. The book is also up-to-date because it includes programming code for simulations. However, the book has some weaknesses. It is less convincing in more advanced topics of stochastic theory and it does not include solutions to excises and recent research trends.
This paper examines the determinants of Google search in the banking area. The weekly Google data from 2004 to 2013 used for this study consists of the 30 largest banks, the Federal Reserve, and the European Central Bank. To my knowledge, this is the first study on the determinants of Google data. Firstly the paper shows that Google searches are correlated with several performance variables and market data, such as asset prices and trading volume. Secondly it demonstrates that banks´ internal performance data has a major influence whereas market data is rather insignificant. Moreover it is shown that Google search for central banks is largely determined by the level of interest rates as well as the inflation and output gap. This is evidence that central bank attention is primarily driven by the policy targets. Accordingly Google data can be applied to analyze the timely impact of monetary policy.
This white paper builds a new financial theory of euro area sovereign bond markets under stress. The theory explains the abnormal bond pricing and increasing spreads during the recent market turmoil. We find that the strong disconnect of bond spreads from the respective bonds’ underlying fundamental values in 2010 was triggered by an increase in asymmetric information and weak reputation of government policies. Both factors cause a normal bond market to switch into a crisis mode. Finally, those markets are prone to self-fulfilling bubbles in which the economic effects are amplified by herding behaviour arising from animal spirits. Altogether, this produces contagious effects and multiple equilibria. Thus, we argue that government bond markets in a monetary union are more fragile and vulnerable to liquidity and solvency crises. Consequently, the systemic mispricing of sovereign debt creates more macroeconomic instability and bubbles in the euro area than in a single country. In other words, financial markets are partly blind to national default risks in a currency union. Therefore, the current European institutional framework puts the wrong incentives in place and needs structural changes soon. To tackle the root causes we suggest more market incentives via consistent rules, pre-emptive austerity measures in good economic times, and a resolution scheme for heavily indebted countries. In summary, our paper enhances the bond market theory and provides new insights into the recent bond market turmoil in Europe.
The aim of this work is to establish and generalize a relationship between fractional partial differential equations (fPDEs) and stochastic differential equations (SDEs) to a wider class of stochastic processes, including fractional Brownian motions and sub-fractional Brownian motions with Hurst parameter H ∈ (1/2,1). We start by establishing the connection between a fPDE and SDE via the Feynman-Kac Theorem, which provides a stochastic representation of a general Cauchy problem. In hindsight, we extend this connection by assuming SDEs with fractional and sub-fractional Brownian motions and prove the generalized Feynman-Kac formulas under a (sub-)fractional Brownian motion. An application of the theorem demonstrates, as a by-product, the solution of a fractional integral, which has relevance in probability theory.
Usually financial crises go along with bubbles in asset prices, such as the housing bubble in the US in 2007. This paper attempts to build a mathematical model of financial bubbles from an econophysics, and thus a new perspective. I find that agents identify bubbles only with a time delay. Furthermore, I demonstrate that the detection of bubbles is different on either the individual or collective point of view. Second, I utilize the findings for a new definition of asset bubbles in finance. Finally, I extend the model to the study of asset price dynamics with news. In conclusion, the model provides unique insights into the properties and developments of financial bubbles.
A major lesson of the recent financial crisis is that money market freezes have major macroeconomic implications. This paper develops a tractable model in which we analyze the microeconomic and macroeconomic implications of a systemic banking crisis. In particular, we consider how the systemic crisis affects the optimal allocation of funding for businesses. We show that a central bank should reduce the interest rate to manage a systemic shock and hence smooth the macroeconomic consequences. Moreover, the analysis offers insight on the rational of bank behavior and the role of markets in a systemic crisis. We find that the failure to adopt the optimal policy can lead to economic fragility.
This paper provides a quantitative approach to measuring the effectiveness of ambush marketing by using Google data. To our knowledge, it is one of the first studies that develop an empirical approach that directly measures the attention effect of ambush marketing in sports. The new data consists of 14 ambushers (treatment group) and 26 official sponsors (control group) and covers the time period of 2004 to 2012. These firms conducted marketing activities during the past football World Cups and European Championships. The innovation in our paper is the measurement method of attention by means of Google. The results are as follows: First ambush marketing increases product attention significantly. Second the product awareness of ambushers is greater or the same to that of official sponsors. Finally, we demonstrate that ambush marketing has positive impacts on the company's performance. Overall, we conclude that Google provide new insights for the analysis of ambush marketing.
This paper provides new evidence on the formation and anchoring of inflation expectations. I conduct a game experiment and analyze the adjustment as well as the impact of credible targets on expectations. In addition, I evaluate the idiosyncratic determinants on the formation of expectations. The analysis reveals six results: First, I find evidence that long-term inflation expectations are firmly anchored to a credible target. Second, a temporary deviation due to unexpected monetary policy might trigger a decline in credibility, and third a de-anchoring of expectations due to uncertainty. Fourth, I find that people change their expectations little if a credible target exists. Fifth, expectations exhibit a large degree of time-variance only in environments without a target. Sixth, the dynamic adjustment to an ‘incomplete’ equilibrium, which is theoretically unstable, is nevertheless rapid and persistent in case of credible targets. All in all, I demonstrate a unique game setup with contributions to both experimental and monetary economics.
Applied mathematical theory for monetary-fiscal interaction in a supranational monetary union
(2014)
I utilize a differentiable dynamical system á la Lotka-Voletrra and explain monetary and fiscal interaction in a supranational monetary union. The paper demonstrates an applied mathematical approach that provides useful insights about the interaction mechanisms in theoretical economics in general and a monetary union in particular. I find that a common central bank is necessary but not sufficient to tackle the new interaction problems in a supranational monetary union, such as the free-riding behaviour of fiscal policies. Moreover, I show that upranational institutions, rules or laws are essential to mitigate violations of decentralized fiscal policies.
This paper analyzes governance mechanisms for different group sizes. The European sovereign debt crisis has demonstrated the need of efficient governance for different group sizes. I find that self-governance only works for sufficiently homogenous and small neighbourhoods. Second, as long as the union expands, the effect of credible self-governance decreases. Third, spill-over effects amplify the size effect. Fourth, I show that sufficiently large monetary unions, are better off with costly but external governance or a free market mechanism. Finally, intermediate-size unions are most difficult to govern efficiently.
This paper develops a linear and tractable model of financial bubbles. I demonstrate the application of the linear model and study the root causes of financial bubbles. Moreover, I derive leading properties of bubbles. This model enables investors and regulators to react to market dynamics in a timely manner. In conclusion, the linear model is helpful for the empirical verification and detection of financial bubbles.
Behavioral economics links social, cognitive and emotional elements to help understand and explain the economic decision-making of individuals and institutions. The focus of research in behavioral economics is on individual choice and the motives underlying that choice. This study booklet introduces the key features and ideas of behavioral economics.
This article explores the determinants of people’s growth prospects in survey data as well as the impact of the European recovery fund to future growth. The focus is on the aftermath of the Corona pandemic, which is a natural limit to the sample size. We use Eurobarometer survey data and macroeconomic variables, such as GDP, unemployment, public deficit, inflation, bond yields, and fiscal spending data. We estimate a variety of panel regression models and develop a new simulation-regression methodology due to limitation of the sample size. We find the major determinant of people’s growth prospect is domestic GDP per capita, while European fiscal aid does not significantly matter. In addition, we exhibit with the simulation-regression method novel scientific insights, significant outcomes, and a policy conclusion alike.
This paper studies the impact of governmental transparency on the political business cycle. The literature on electoral cycles finds evidence that cycles depend on the stage of the economy. However, we show a reliance of the cycle on transparency. We use data for G7 countries and compare it with less developed OECD countries. Our theory states that transparency reduces the political cycles due to peer pressure and by voting outs. We confirm the theory with an econometric assessment of 34 countries from 1970 to 2012. We discover smaller cycles in countries with a higher transparency, especially in G7-countries.
The purpose of this paper is to study the impact of transparency on the political budget cycle (PBC) over time and across countries. So far, the literature on electoral cycles finds evidence that cycles depend on the stage of an economy. However, the author shows – for the first time – a reliance of the budget cycle on transparency. The author uses a new data set consisting of 99 developing and 34 Organization for Economic Cooperation and Development countries. First, the author develops a model and demonstrates that transparency mitigates the political cycles. Second, the author confirms the proposition through the econometric assessment. The author uses time series data from 1970 to 2014 and discovers smaller cycles in countries with higher transparency, especially G8 countries.
This paper develops a new methodology in order to study the role of dynamic expectations. Neither reference-point theories nor feedback models are sufficient to describe human expectations in a dynamic market environment. We use an interdisciplinary approach and demonstrate that expectations of non-learning agents are time-invariant and isotropic. On the contrary, learning enhances expectations. We uncover the “yardstick of expectations” in order to assess the impact of market developments on expectations. For the first time in the literature, we reveal new insights about the motion of dynamic expectations. Finally, the model is suitable for an AI approach and has major implications on the behaviour of market participants.