Pricing Sin Stocks: Ethical Preference vs. Risk Aversion
Stefano Colonnello, Giuliano Curatola, Alessandro Gioffré
European Economic Review,
2019
Abstract
We develop an ethical preference-based model that reproduces the average return and volatility spread between sin and non-sin stocks. Our investors do not necessarily boycott sin companies. Rather, they are open to invest in any company while trading off dividends against ethicalness. When dividends and ethicalness are complementary goods and investors are sufficiently risk averse, the model predicts that the dividend share of sin companies exhibits a positive relation with the future return and volatility spreads. An empirical analysis supports the model’s predictions. Taken together, our results point to the importance of ethical preferences for investors’ portfolio choices and asset prices.
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College Choice, Selection, and Allocation Mechanisms: A Structural Empirical Analysis
J.-R. Carvalho, T. Magnac, Qizhou Xiong
Quantitative Economics,
Nr. 3,
2019
Abstract
We use rich microeconomic data on performance and choices of students at college entry to analyze interactions between the selection mechanism, eliciting college preferences through exams, and the allocation mechanism. We set up a framework in which success probabilities and student preferences are shown to be identified from data on their choices and their exam grades under exclusion restrictions and support conditions. The counterfactuals we consider balance the severity of congestion and the quality of the match between schools and students. Moving to deferred acceptance or inverting the timing of choices and exams are shown to increase welfare. Redistribution among students and among schools is also sizeable in all counterfactual experiments.
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An Evaluation of Early Warning Models for Systemic Banking Crises: Does Machine Learning Improve Predictions?
Johannes Beutel, Sophia List, Gregor von Schweinitz
Abstract
This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the literature. We find that while machine learning methods often attain a very high in-sample fit, they are outperformed by the logit approach in recursive out-of-sample evaluations. This result is robust to the choice of performance measure, crisis definition, preference parameter, and sample length, as well as to using different sets of variables and data transformations. Thus, our paper suggests that further enhancements to machine learning early warning models are needed before they are able to offer a substantial value-added for predicting systemic banking crises. Conventional logit models appear to use the available information already fairly effciently, and would for instance have been able to predict the 2007/2008 financial crisis out-of-sample for many countries. In line with economic intuition, these models identify credit expansions, asset price booms and external imbalances as key predictors of systemic banking crises.
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Housing Consumption and Macroprudential Policies in Europe: An Ex Ante Evaluation
Antonios Mavropoulos, Qizhou Xiong
IWH Discussion Papers,
Nr. 17,
2018
Abstract
In this paper, we use the panel of the first two waves of the Household Finance and Consumption Survey by the European Central Bank to study housing demand of European households and evaluate potential housing market regulations in the post-crisis era. We provide a comprehensive account of the housing decisions of European households between 2010 and 2014, and structurally estimate the housing preference of a simple life-cycle housing choice model. We then evaluate the effect of a tighter LTV/LTI regulation via counter-factual simulations. We find that those regulations limit homeownership and wealth accumulation, reduces housing consumption but may be welfare improving for the young households.
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Pricing Sin Stocks: Ethical Preference vs. Risk Aversion
Stefano Colonnello, Giuliano Curatola, Alessandro Gioffré
Abstract
We develop a model that reproduces the return and volatility spread between sin and non-sin stocks, where investors trade off dividends with the ethical assessment of companies. We relax the assumption of boycott behaviour and investigate the role played by the dividend share of sin stocks on their return and volatility spread relative to non-sin stocks. We empirically show that the dividend share predicts a positive return and volatility spread. This pattern is reproduced by our model when dividends and ethicalness are complementary goods and investors are sufficiently risk averse.
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Optimizing Policymakers' Loss Functions in Crisis Prediction: Before, Within or After?
Peter Sarlin, Gregor von Schweinitz
Abstract
Early-warning models most commonly optimize signaling thresholds on crisis probabilities. The expost threshold optimization is based upon a loss function accounting for preferences between forecast errors, but comes with two crucial drawbacks: unstable thresholds in recursive estimations and an in-sample overfit at the expense of out-of-sample performance. We propose two alternatives for threshold setting: (i) including preferences in the estimation itself and (ii) setting thresholds ex-ante according to preferences only. Given probabilistic model output, it is intuitive that a decision rule is independent of the data or model specification, as thresholds on probabilities represent a willingness to issue a false alarm vis-à-vis missing a crisis. We provide simulated and real-world evidence that this simplification results in stable thresholds and improves out-of-sample performance. Our solution is not restricted to binary-choice models, but directly transferable to the signaling approach and all probabilistic early-warning models.
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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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CEO Political Preference and Corporate Tax Sheltering
Bill Francis, Iftekhar Hasan, Xian Sun, Qiang Wu
Journal of Corporate Finance,
2016
Abstract
We show that firms led by politically partisan CEOs are associated with a higher level of corporate tax sheltering than firms led by nonpartisan CEOs. Specifically, Republican CEOs are associated with more corporate tax sheltering even when their wealth is not tied with that of shareholders and when corporate governance is weak, suggesting that their tax sheltering decisions could be driven by idiosyncratic factors such as their political ideology. We also show that Democratic CEOs are associated with more corporate tax sheltering only when their stock-based incentives are high, suggesting that their tax sheltering decisions are more likely to be driven by economic incentives. In sum, our results support the political connection hypothesis in general but highlight that the specific factors driving partisan CEOs' tax sheltering behaviors differ. Our results imply that it may cost firms more to motivate Democratic CEOs to engage in more tax sheltering activities because such decisions go against their political beliefs regarding tax policies.
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College Choice and the Selection of Mechanisms: A Structural Empirical Analysis
J.-R. Carvalho, T. Magnac, Qizhou Xiong
Abstract
We use rich microeconomic data on performance and choices of students at college entry to study the interaction between the revelation of college preferences through exams and the selection of allocation mechanisms. We propose a method in which preferences and expectations of students are identified from data on choices and multiple exam grades. Counterfactuals we consider balance costs arising from congestion and exam organization. Moving to deferred acceptance or inverting the timing of choices and exams are shown to increase welfare. Redistribution among students or schools is sizeable in all counterfactual experiments.
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