Accounting Quality in Banking: The Role of Regulatory Interventions
Manthos D. Delis, Iftekhar Hasan, Maria Iosifidi, Lingxiang Li
Journal of Banking and Finance,
2018
Abstract
Using the full sample of U.S. banks and hand-collected data on enforcement actions over 2000–2014, we analyze the role of these interventions in promoting several aspects of accounting quality. We find that enforcement actions issued for both risk-related and accounting-related reasons lead to significant improvements in accounting quality. This improvement is consistently found for earnings smoothing, big-bath accounting, timely recognition of future loan losses, the association of loan loss provisions with future loan charge offs, loss avoidance, and cash flow predictability and earnings persistence. Most of the effects are somewhat more potent in the crisis period and survive in several sensitivity tests. Our findings highlight the imperative role of regulatory interventions in promoting bank accounting quality.
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Information Feedback in Temporal Networks as a Predictor of Market Crashes
Stjepan Begušić, Zvonko Kostanjčar, Dejan Kovač, Boris Podobnik, H. Eugene Stanley
Complexity,
September
2018
Abstract
In complex systems, statistical dependencies between individual components are often considered one of the key mechanisms which drive the system dynamics observed on a macroscopic level. In this paper, we study cross-sectional time-lagged dependencies in financial markets, quantified by nonparametric measures from information theory, and estimate directed temporal dependency networks in financial markets. We examine the emergence of strongly connected feedback components in the estimated networks, and hypothesize that the existence of information feedback in financial networks induces strong spatiotemporal spillover effects and thus indicates systemic risk. We obtain empirical results by applying our methodology on stock market and real estate data, and demonstrate that the estimated networks exhibit strongly connected components around periods of high volatility in the markets. To further study this phenomenon, we construct a systemic risk indicator based on the proposed approach, and show that it can be used to predict future market distress. Results from both the stock market and real estate data suggest that our approach can be useful in obtaining early-warning signals for crashes in financial markets.
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Does it Payoff to Research Economics? A Tale of Citation, Knowledge and Economic Growth in Transition Countries
Dejan Kovač, Boris Podobnik, Nikol Scrbec
Physica A: Statistical Mechanics and its Applications,
September
2018
Abstract
There are many economic theories that promote human capital as a key driver of a country’s economic growth, but it is challenging to test this theory empirically on a country level and causally interpret the coefficients due to several identification problems. We tried to answer this particular question by using a quasi-natural experiment that happened quarter century ago – the fall of communist block in Eastern Europe. We use a shock to a particular scientific field – economics, to test whether the future investment into that particular field resulted in increased welfare and economic growth. The economics paradigm that was governing all of the communist block ceased to exist. Human capital depreciated over night and all communist countries had to transit from planned economy to a market economy. In the following years countries had to adapt to market economy through additional investment in human capital and research. We find that countries which lack both of the two fourth mentioned components had 25 years later a relatively lower economic growth and wealth. Unlike economics, other fields such as physics and medicine did not go through the same process so we use them as a placebo effect for our study. We find that the relative ratio of citations between economics and physics in post-communist countries is increasing only 15 years after the “paradigm” shock which gives a suggestive evidence that timing of investment into particular scientific field matters the most.
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Economic Growth: The Past, the Present, and the Future
Ufuk Akcigit
Journal of Political Economy,
Nr. 6,
2017
Abstract
“Is there some action a government of India could take that would lead the Indian economy to grow like Indonesia’s or Egypt’s? If so, what, exactly? If not, what is it about the ‘nature of India’ that makes it so? The consequences for human welfare involved in questions like these are simply staggering: Once one starts to think about them, it is hard to think about anything else. (Lucas 1988, 5)”
These words by the Nobel laureate Chicago economist Robert Lucas Jr. summarize why so many great scholars found it hard to “think about anything else” and spent their careers trying to understand the process of economic growth. Economies are complex systems resulting from the actions of many actors. This complexity makes it challenging, but also infinitely interesting, to understand the determinants of economic growth. What are the roles of human capital, fertility, ideas, basic science, and public policy for growth? These are just some of the important questions that were posed by many highly influential studies featured in the issues of the Journal of Political Economy over the years. Indeed, this journal has been the platform to diffuse many of the brilliant ideas and start important debates in the field of economic growth. In this short paper, my goal is to revisit some of those seminal papers, briefly describe some of the more recent contributions, and end with some thoughts about the future direction of the field. The reader should note in advance that the list of work covered here is by no means exhaustive and mostly targets work that has been featured in issues of the JPE.
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Tail-risk Protection Trading Strategies
Natalie Packham, Jochen Papenbrock, Peter Schwendner, Fabian Wöbbeking
Quantitative Finance,
Nr. 5,
2017
Abstract
Starting from well-known empirical stylized facts of financial time series, we develop dynamic portfolio protection trading strategies based on econometric methods. As a criterion for riskiness, we consider the evolution of the value-at-risk spread from a GARCH model with normal innovations relative to a GARCH model with generalized innovations. These generalized innovations may for example follow a Student t, a generalized hyperbolic, an alpha-stable or a Generalized Pareto distribution (GPD). Our results indicate that the GPD distribution provides the strongest signals for avoiding tail risks. This is not surprising as the GPD distribution arises as a limit of tail behaviour in extreme value theory and therefore is especially suited to deal with tail risks. Out-of-sample backtests on 11 years of DAX futures data, indicate that the dynamic tail-risk protection strategy effectively reduces the tail risk while outperforming traditional portfolio protection strategies. The results are further validated by calculating the statistical significance of the results obtained using bootstrap methods. A number of robustness tests including application to other assets further underline the effectiveness of the strategy. Finally, by empirically testing for second-order stochastic dominance, we find that risk averse investors would be willing to pay a positive premium to move from a static buy-and-hold investment in the DAX future to the tail-risk protection strategy.
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Banks Credit and Productivity Growth
Fadi Hassan, Filippo di Mauro, Gianmarco Ottaviano
ECB Working Paper,
Nr. 2008,
2017
Abstract
Financial institutions are key to allocate capital to its most productive uses. In order to examine the relationship between productivity and bank credit in the context of different financial market set-ups, we introduce a model of overlapping generations of entrepreneurs under complete and incomplete credit markets. Then, we exploit firm-level data for France, Germany and Italy to explore the relation between bank credit and productivity following the main derivations of the model. We estimate an extended set of elasticities of bank credit with respect to a series of productivity measures of firms. We focus not only on the elasticity between bank credit and productivity during the same year, but also on the elasticity between credit and future realised productivity. Our estimates show a clear Eurozone core-periphery divide, the elasticities between credit and productivity estimated in France and Germany are consistent with complete markets, whereas in Italy they are consistent with incomplete markets. The implication is that in Italy firms turn to be constrained in their long-term investments and bank credit is allocated less efficiently than in France and Germany. Hence capital misallocation by banks can be a key driver of the long-standing slow productivity growth that characterises Italy and other periphery countries.
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Bracket Creeps: Bane or Boon for the Stability of Numerical Budget Rules?
Martin Altemeyer-Bartscher, Götz Zeddies
IWH Discussion Papers,
Nr. 29,
2016
Abstract
As taxpayers typically pay low attention to a small inflation-induced bracket creep of the income tax, policy-makers tend to postpone its correction into the future. However, the fiscal illusion fades away and political pressure for a tax relief arises since after some years the cumulative increase of the average tax rate exceeds a critical threshold. Using Germany as an example, this paper shows that bracket creeps can provoke revenue cycles in public budgets hindering governments’ compliance with the numerical budget rules. An indexation of the tax tariff could prevent such fluctuations and thus provides a favourable framework for the debt rule.
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The Behavioral Impact of Non-Monetary Workplace Characteristics
Sabrina Jeworrek
Schriftenreihe innovative betriebswirtschaftliche Forschung und Praxis,
Nr. 465,
2016
Abstract
This book investigates the impact of non-monetary workplace characteristics ― i.e. employee voice, task characteristics, and the provision of information ― on workers’ individual decision making and workplace performance. Given the neoclassical assumption of purely self-interested and completely rational utility maximizing individuals, workplace characteristics should be of little interest as long as they are not directly related to payment issues, so that a worker’s utility maximizing effort choice given a fixed wage level remains unaffected. Recent empirical findings, however, suggest that the use of non-monetary incentives might even be the better option to increase work performance. Three out of the four experimental studies covered by this book extend the previous research by providing more reliable insights into field behavior than conventional laboratory experiments. Given e.g. the right to self-determine one’s wage, almost all participants in the laboratory opt for the highest possible wage. Within the context of an inventory taking with 140 assistants, we conducted a natural field experiment and show that most workers ask for rather moderate wages with women being particularly conservative in their demands. Notwithstanding, wage delegation causes workers’ performance to rise and, hence, stresses the relevance of voice at the workplace. Furthermore, we provide evidence that workers also care for the content and the meaningfulness of their tasks. Uselessly exerted effort, for instance, reduces work performance as regards a completely unrelated task in the future. Taken together, the field experimental evidence presented in this book indicates that if employees find a workplace which matches their preferences, it is quite likely to be a beneficial situation not only for the employee but also for the employer. Overall good working conditions can even help workers overlook unequal treatments within the workforce, at least in the short-run and as long as there is a plausible reason for it. An additional laboratory experiment, however, suggests that additional information, e.g. about potential coworkers, might be necessary to make reasonable decisions in accordance with individual preferences.
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