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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Predicting Free-riding in a Public Goods Game – Analysis of Content and Dynamic Facial Expressions in Face-to-Face Communication
Dmitri Bershadskyy, Ehsan Othman, Frerk Saxen
IWH Discussion Papers,
No. 9,
2019
Abstract
This paper illustrates how audio-visual data from pre-play face-to-face communication can be used to identify groups which contain free-riders in a public goods experiment. It focuses on two channels over which face-to-face communication influences contributions to a public good. Firstly, the contents of the face-to-face communication are investigated by categorising specific strategic information and using simple meta-data. Secondly, a machine-learning approach to analyse facial expressions of the subjects during their communications is implemented. These approaches constitute the first of their kind, analysing content and facial expressions in face-to-face communication aiming to predict the behaviour of the subjects in a public goods game. The analysis shows that verbally mentioning to fully contribute to the public good until the very end and communicating through facial clues reduce the commonly observed end-game behaviour. The length of the face-to-face communication quantified in number of words is further a good measure to predict cooperation behaviour towards the end of the game. The obtained findings provide first insights how a priori available information can be utilised to predict free-riding behaviour in public goods games.
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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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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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Central Bank Transparency and the Volatility of Exchange Rates
Stefan Eichler, Helge Littke
Journal of International Money and Finance,
2018
Abstract
We analyze the effect of monetary policy transparency on bilateral exchange rate volatility. We test the theoretical predictions of a stylized model using panel data for 62 currencies from 1998 to 2010. We find strong evidence that an increase in the availability of information about monetary policy objectives decreases exchange rate volatility. Using interaction models, we find that this effect is more pronounced for countries with a lower flexibility of goods prices, a lower level of central bank conservatism, and a higher interest rate sensitivity of money demand.
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Connecting to Power: Political Connections, Innovation, and Firm Dynamics
Ufuk Akcigit, Salomé Baslandze, Francesca Lotti
NBER Working Paper,
No. 25136,
2018
Abstract
How do political connections affect firm dynamics, innovation, and creative destruction? To answer this question, we build a firm dynamics model, where we allow firms to invest in innovation and/or political connection to advance their productivity and to overcome certain market frictions. Our model generates a number of theoretical testable predictions and highlights a new interaction between static gains and dynamic losses from rent-seeking in aggregate productivity. We test the predictions of our model using a brand-new dataset on Italian firms and their workers, spanning the period from 1993 to 2014, where we merge: (i) firm-level balance sheet data; (ii) social security data on the universe of workers; (iii) patent data from the European Patent Office; (iv) the national registry of local politicians; and (v) detailed data on local elections in Italy. We find that firm-level political connections are widespread, especially among large firms, and that industries with a larger share of politically connected firms feature worse firm dynamics. We identify a leadership paradox: when compared to their competitors, market leaders are much more likely to be politically connected, but much less likely to innovate. In addition, political connections relate to a higher rate of survival, as well as growth in employment and revenue, but not in productivity – a result that we also confirm using a regression discontinuity design.
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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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On DSGE Models
Lawrence J. Christiano, Martin S. Eichenbaum, Mathias Trabandt
Journal of Economic Perspectives,
No. 3,
2018
Abstract
The outcome of any important macroeconomic policy change is the net effect of forces operating on different parts of the economy. A central challenge facing policymakers is how to assess the relative strength of those forces. Economists have a range of tools that can be used to make such assessments. Dynamic stochastic general equilibrium (DSGE) models are the leading tool for making such assessments in an open and transparent manner. We review the state of mainstream DSGE models before the financial crisis and the Great Recession. We then describe how DSGE models are estimated and evaluated. We address the question of why DSGE modelers—like most other economists and policymakers—failed to predict the financial crisis and the Great Recession, and how DSGE modelers responded to the financial crisis and its aftermath. We discuss how current DSGE models are actually used by policymakers. We then provide a brief response to some criticisms of DSGE models, with special emphasis on criticism by Joseph Stiglitz, and offer some concluding remarks.
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Do Employers Have More Monopsony Power in Slack Labor Markets?
Boris Hirsch, Elke J. Jahn, Claus Schnabel
ILR Review,
No. 3,
2018
Abstract
This article confronts monopsony theory’s predictions regarding workers’ wages with observed wage patterns over the business cycle. Using German administrative data for the years 1985 to 2010 and an estimation framework based on duration models, the authors construct a time series of the labor supply elasticity to the firm and estimate its relationship to the unemployment rate. They find that firms possess more monopsony power during economic downturns. Half of this cyclicality stems from workers’ job separations being less wage driven when unemployment rises, and the other half mirrors that firms find it relatively easier to poach workers. Results show that the cyclicality is more pronounced in tight labor markets with low unemployment, and that the findings are robust to controlling for time-invariant unobserved worker or plant heterogeneity. The authors further document that cyclical changes in workers’ entry wages are of similar magnitude as those predicted under pure monopsonistic wage setting.
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Economic Transition in Unified Germany and Implications for Korea
Hyung-Gon Jeong, Gerhard Heimpold
H.-G. Jeong and G. Heimpold (eds.): Economic Transition in Unified Germany and Implications for Korea. Policy References 17-13. Sejong: Korea Institute for International Economic Policy,
2017
Abstract
The reunification of Germany, which marked the end of the Cold War in the 20th century, is regarded as one of the most exemplary cases of social integration in human history. Nearly three decades after the German reunification, the economic and social shocks that occurred at the beginning of the reunification process have largely been resolved. Moreover, the unified Germany has grown into one of the most advanced economies in the world.
The unification process that Germany underwent may not necessarily be the way that the Republic of Korea would choose. However, the economic and social exchanges between East and West Germany prior to unification, and the cooperation in a myriad of policies based on these exchanges, served as the crucial foundation for unification. The case of Germany will surely help us find a better way for the re-unification of the Korean Peninsula.
In this context, this is the first edition of a joint research which provides diverse insights on social and economic issues during the process of unification. It consists of nine chapters whose main topics include policies on macroeconomic stabilization, the privatization of state-owned enterprises in East Germany, labor policies and the migration of labor, integration of the social safety nets of the North and South, and securing finances for reunification. To start with, the first part covers macroeconomic stabilization measures, which include policies implemented by the federal government of Germany to overcome macroeconomic shocks directly after the reunification. There was a temporary setback in the economy at the initial phase of reunification as the investment per GDP went down and the level of fiscal debt escalated, reverting to its original trend prior to the reunification. While it appears the momentum for growth was compromised by reunification from the perspective of growth rate of real GDP, this state did not last long and benefits have outpaced the costs since 2000.
In the section which examines the privatization of state-owned enterprises in East Germany, an analysis was conducted on the modernization of industrial infrastructure of East German firms. There was a surge in investment in East German area at the beginning stages but this was focused on a specific group of firms. Most of the firms were privatized through unofficial channels, with a third of these conducted in a management buy-out (MBO) process that was highly effective. Further analysis of a firm called Jenoptik, which was successfully bailed out, is incorporated as to draw implications of its accomplishments.
In the section on migration, we examine how the gap between the unemployment rates in the West and East have narrowed as the population flow shifted from the West to East. Consequently, there was no significant deviation in terms of the Gross Regional Domestic Product (GRDP) per capita in each state of East Germany. However, as the labor market stabilized in East Germany and population flows have weakened, the deviation will become larger. Meanwhile, if we make a prediction about the movement of population between the North and the South, which show a remarkable difference in their economic circumstances, a radical reunification process such as Germany’s case would force 7% of the population of the North to move towards the South. Upon reunification, the estimated unemployment rate in North Korea would remain at least 30% for the time being. In order to reduce the initial unemployment rate, it is crucial to design a program that trains the unemployed and to build a system that predicts changes in labor demand.
It seems nearly impossible to apply the social safety nets of the South to the North, as there is a systemic difference in ideologies. Taking steps toward integration would be the most suitable option in the case of the Koreas. We propose to build a sound groundwork for stabilizing the interest rates and exchange rates, maintain stable fiscal policies, raise momentum for economic growth and make sure people understand the means required to financially support the North in order to reduce the gap between the two.
This book was jointly organized and edited by Dr. Hyung-gon Jeong of the Korea Institute for International Economic Policy (KIEP) and Dr. Gerhard Heimpold of the Halle Institute for Economic Research (IWH). We believe that this report, which examines numerous social and economic agendas that emerged during the reunification of Germany, will provide truly important reference for both Koreas. It is also our view that it will serve as a stepping-stone to establish policies in regard to South-North exchanges across numerous sectors prior to discussions of reunification. KIEP will continue to work with IWH and contribute its expertise to the establishment of grounds for unification policies.
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