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Year
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The Impact of Credit Default Swap Trading on Loan Syndication
Daniel Streitz
Review of Finance, No. 1, 2016
Abstract
We analyze the impact of credit default swap (CDS) trading on bank syndication activity. Theoretically, the effect of CDS trading is ambiguous: on the one hand, CDS can improve risk-sharing and hence be a more flexible risk management tool than loan syndication; on the other hand, CDS trading can reduce bank monitoring incentives. We document that banks are less likely to syndicate loans and retain a larger loan fraction once CDS are actively traded on the borrower’s debt. We then discern the risk management and the moral hazard channel. We find no evidence that the reduced likelihood to syndicate loans is a result of increased moral hazard problems.
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Legal Insider Trading and Stock Market Liquidity
Hans Degryse, Frank de Jong, Jérémie Lefebvre
De Economist, No. 1, 2016
Abstract
This paper assesses the impact of legal trades by corporate insiders on the liquidity of the firm’s stock. For this purpose, we analyze two liquidity measures and one information asymmetry measure. The analysis allows us to study as well the effect of a change in insider trading regulation, namely the implementation of the Market Abuse Directive (European Union Directive 2003/6/EC) on the Dutch stock market. The first set of results shows that, in accordance with theories of asymmetric information, the intensity of legal insider trading in a given company is positively related to the bid-ask spread and to the information asymmetry measure. We also find that the Market Abuse Directive did not reduce significantly this effect. Secondly, analyzing liquidity and information asymmetry around the days of legal insider trading, we find that small and large capitalization stocks see their bid-ask spread and the permanent price impact increase when insiders trade. For mid-cap stocks, only the permanent price impact increases. Finally, we could not detect a significant improvement of these results following the change in regulation.
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Regulations, institutions and income smoothing by managing technical reserves: international evidence from the insurance industry
Chrysovalantis Gaganis, Iftekhar Hasan, Fotios Pasiouras
Omega, No. 3, 2016
Abstract
This paper investigates the role of technical reserves in the income smoothing behavior of insurance companies. This is one of the first attempts in the literature to trace such relationship in the insurance industry, especially at a multi-country setting. The experience of 770 insurance firms operating in 87 countries over the period 2000–2009 reveals that there is a significant evidence of income smoothing. The paper also finds that institutional characteristics, e.g., the rule of law, common law legal origin, economic freedom, and regulations relating to technical provisions and supervisory power constrain income smoothing but other factors such as capital requirements, tax deductibility of provisions, auditing, and corporate governance do not have a significant effect.
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Team Building and Hidden Costs of Control
Gerhard Riener, Simon Wiederhold
Journal of Economic Behavior and Organization, March 2016
Abstract
In a laboratory experiment, we investigate the interaction of two prominent firm strategies to increase worker effort: team building and control. We compare a team-building treatment where subjects initially play a coordination game to gain common experience (CE) with an autarky treatment where subjects individually perform a task (NCE). In both treatments, subjects then play two-player control games where agents provide costly effort and principals can control to secure a minimum effort. CE agents always outperform NCE agents. Conditional on control, however, CE agents’ effort is crowded out more strongly, with the effect being most pronounced for agents who successfully coordinated in the team-building exercise. Differential reactions to control perceived as excessive is one explanation for our findings.
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Abnormal Real Operations, Real Earnings Management, and Subsequent Crashes in Stock Prices
Bill Francis, Iftekhar Hasan, Lingxiang Li
Review of Quantitative Finance and Accounting, No. 2, 2016
Abstract
We study the impact of firms’ abnormal business operations on their future crash risk in stock prices. Computed based on real earnings management (REM) models, firms’ deviation in real operations (DROs) from industry norms is shown to be positively associated with their future crash risk. This association is incremental to that between discretionary accruals (DAs) and crash risk found by prior studies. Moreover, after Sarbanes–Oxley Act (SOX) of 2002, DRO’s predictive power for crash risk strengthens substantially, while DA’s predictive power essentially dissipates. These results are consistent with the prior finding that managers shift from accrual earnings management to REM after SOX. We further develop a suspect-firm approach to capture firms’ use of DRO for REM purposes. This analysis shows that REM-firms experience a significant increase in crash risk in the following year. These findings suggest that the impact of DRO on crash risk is at least partially through REM.
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The Diablo 3 Economy: An Agent Based Approach
Makram El-Shagi, Gregor von Schweinitz
Computational Economics, No. 2, 2016
Abstract
Designers of MMOs such as Diablo 3 face economic problems much like policy makers in the real world, e.g. inflation and distributional issues. Solving economic problems through regular updates (patches) became as important to those games as traditional gameplay issues. In this paper we provide an agent framework inspired by the economic features of Diablo 3 and analyze the effect of monetary policy in the game. Our model reproduces a number of features known from the Diablo 3 economy such as a heterogeneous price development, driven almost exclusively by goods of high quality, a highly unequal wealth distribution and strongly decreasing economic mobility. The basic framework presented in this paper is meant as a stepping stone to further research, where our evidence is used to deepen our understanding of the real-world counterparts of such problems. The advantage of our model is that it combines simplicity that is inherent to model economies with a similarly simple observable counterpart (namely the game environment where real agents interact). By matching the dynamics of the game economy we can thus easily verify that our behavioral assumptions are good approximations to reality.
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Transition to Clean Technology
Daron Acemoglu, Ufuk Akcigit, Douglas Hanley, William R. Kerr
Journal of Political Economy, No. 1, 2016
Abstract
We develop an endogenous growth model in which clean and dirty technologies compete in production. Research can be directed to either technology. If dirty technologies are more advanced, the transition to clean technology can be difficult. Carbon taxes and research subsidies may encourage production and innovation in clean technologies, though the transition will typically be slow. We estimate the model using microdata from the US energy sector. We then characterize the optimal policy path that heavily relies on both subsidies and taxes. Finally, we evaluate various alternative policies. Relying only on carbon taxes or delaying intervention has significant welfare costs.
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Real Effective Exchange Rate Misalignment in the Euro Area: A Counterfactual Analysis
Makram El-Shagi, Axel Lindner, Gregor von Schweinitz
Review of International Economics, No. 1, 2016
Abstract
The European debt crisis has revealed severe imbalances within the Euro area, sparking a debate about the magnitude of those imbalances, in particular concerning real effective exchange rate misalignments. We use synthetic matching to construct a counterfactual economy for each member state in order to identify the degree of these misalignments. We find that crisis countries are best described as a combination of advanced and emerging economies. Comparing the actual real effective exchange rate with those of the counterfactuals gives evidence of misalignments before the outbreak of the crisis: all peripheral countries appear strongly and significantly overvalued.
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Determinants of the Size of the Sovereign Credit Default Swap Market
Tobias Berg, Daniel Streitz
Journal of Fixed Income, No. 3, 2016
Abstract
We analyze the sovereign credit default swap (CDS) market for 57 countries, using a novel dataset comprising weekly positions and turnover data. We document that CDS markets—measured relative to a country’s debt—are larger for smaller countries, countries with a rating just above the investment-grade cutoff, and countries with weaker creditor rights. Analyzing changes in credit risk, we find that rating changes matter but only for negative rating events (downgrades and negative outlooks). In particular, weeks with downgrades and negative outlooks are associated with a significantly higher turnover in the sovereign CDS market, even after controlling for changes in sovereign CDS spreads. We conclude that agencies’ ratings are a major determinant of the size of the sovereign CDS market.
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Dual Labor Markets at Work: The Impact of Employers’ Use of Temporary Agency Work on Regular Workers’ Job Stability
Boris Hirsch
ILR Review, No. 5, 2016
Abstract
Fitting duration models on an inflow sample of jobs in Germany starting in 2002 to 2010, the author investigates the impact of employers’ use of temporary agency work on regular workers’ job stability. In line with dual labor market theory, the author finds that nontemporary jobs are significantly more stable when employers use temporary agency workers. The rise in job stability stems mainly from reduced transitions into nonemployment, suggesting that nontemporary workers are safeguarded against involuntary job losses. The findings are robust to controlling for unobserved permanent employer characteristics and changes in the observational window that comprises the labor market disruption of the Great Recession.
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