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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The Exchange Rate, Asymmetric Shocks and Asymmetric Distributions
Calin-Vlad Demian, Filippo di Mauro
International Economics,
August
2018
Abstract
The elasticity of exports to exchange rate fluctuations has been the subject of a large body of literature without a clear consensus emerging. Using a novel sector-level dataset based on firm level information, we show that exchange rate elasticities double in size when country and sector specific firm productivity distributions are considered in the empirical estimations. In addition, exports appear to be sensitive to appreciation episodes, but rather unaffected by depreciations. Finally, only rather large changes in the exchange rate appear to matter. The paper intends to contribute to the debate on the effectiveness and impacts of exchange rate movements, which features highly in the policy agenda.
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Market Power and Risk: Evidence from the U.S. Mortgage Market
Carola Müller, Felix Noth
Economics Letters,
2018
Abstract
We use mortgage loan application data of the Home Mortgage Disclosure Act (HMDA) to shed light on the role of banks’ market power on their presumably insufficient risk screening activities in the U.S. mortgage market in the pre-crisis era. We find that banks with higher market power protect their charter value. The effect is stronger for banks that have more information about local markets.
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25.05.2018 • 12/2018
Der Kampf der Arbeitgeber und Arbeitgeberinnen gegen Betriebsräte
Deutschland wählt. Dieses Mal aber geht es nicht um Politiker, sondern um die Betriebsräte. Das lohnt sich: Viele Untersuchungen zeigen, dass Betriebsräte insgesamt positive Effekte auf Produktivität, Löhne und Gewinne haben. Trotzdem leisten Arbeitgeber und Arbeitgeberinnen zum Teil großen Widerstand gegen die betriebliche Mitbestimmung. Eine häufig benutzte Begründung ist, dass Mitbestimmung die unternehmerische Freiheit einschränkt und dass Arbeitgeber bereit sind, positive Effekte der Mitbestimmung im Gegenzug für größere Handlungsspielräume zu opfern. Steffen Müller vom Leibniz-Institut für Wirtschaftsforschung Halle (IWH) liefert jetzt eine alternative ökonomische Begründung für die ablehnende Haltung: Arbeitgeberverbände werden von mittelständischen Unternehmen dominiert, und in diesen hat der Betriebsrat – im Gegensatz zu großen Betrieben – oft keine positiven ökonomischen Folgen.
Steffen Müller
Lesen
Urban Occupational Structures as Information Networks: The Effect on Network Density of Increasing Number of Occupations
Shade T. Shutters, José Lobo, Rachata Muneepeerakul, Deborah Strumsky, Charlotta Mellander, Matthias Brachert, Teresa Farinha, Luis M. A. Bettencourt
Plos One,
im Erscheinen
Abstract
Urban economies are composed of diverse activities, embodied in labor occupations, which depend on one another to produce goods and services. Yet little is known about how the nature and intensity of these interdependences change as cities increase in population size and economic complexity. Understanding the relationship between occupational interdependencies and the number of occupations defining an urban economy is relevant because interdependence within a networked system has implications for system resilience and for how easily can the structure of the network be modified. Here, we represent the interdependencies among occupations in a city as a non-spatial information network, where the strengths of interdependence between pairs of occupations determine the strengths of the links in the network. Using those quantified link strengths we calculate a single metric of interdependence–or connectedness–which is equivalent to the density of a city’s weighted occupational network. We then examine urban systems in six industrialized countries, analyzing how the density of urban occupational networks changes with network size, measured as the number of unique occupations present in an urban workforce. We find that in all six countries, density, or economic interdependence, increases superlinearly with the number of distinct occupations. Because connections among occupations represent flows of information, we provide evidence that connectivity scales superlinearly with network size in information networks.
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Secrecy, Information Shocks, and Corporate Investment: Evidence from European Union Countries
Mohamad Mazboudi, Iftekhar Hasan
Journal of International Financial Markets, Institutions and Money,
2018
Abstract
This study examines how national culture affects corporate investment. We argue that national culture affects corporate investment efficiency through the level of secrecy that national culture exhibits. Using a sample of firms from eight culturally-diverse European Union countries, we find that the level of secrecy that national culture exhibits is negatively related to corporate investment efficiency after controlling for a number of firm- and country-level factors. We also find that the negative relation between national culture and corporate investment efficiency is mitigated by an exogenous shock to the information asymmetry problem between managers and investors. Our study highlights the importance of the cultural value of secrecy/transparency as a determinant of investment efficiency at the firm-level.
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Early-Stage Business Formation: An Analysis of Applications for Employer Identification Numbers
Kimberly Bayard, Emin Dinlersoz, Timothy Dunne, John Haltiwanger, Javier Miranda, John Stevens
NBER Working Paper,
Nr. 24364,
2018
Abstract
This paper reports on the development and analysis of a newly constructed dataset on the early stages of business formation. The data are based on applications for Employer Identification Numbers (EINs) submitted in the United States, known as IRS Form SS-4 filings. The goal of the research is to develop high-frequency indicators of business formation at the national, state, and local levels. The analysis indicates that EIN applications provide forward-looking and very timely information on business formation. The signal of business formation provided by counts of applications is improved by using the characteristics of the applications to model the likelihood that applicants become employer businesses. The results also suggest that EIN applications are related to economic activity at the local level. For example, application activity is higher in counties that experienced higher employment growth since the end of the Great Recession, and application counts grew more rapidly in counties engaged in shale oil and gas extraction. Finally, the paper provides a description of new public-use dataset, the “Business Formation Statistics (BFS),” that contains new data series on business applications and formation. The initial release of the BFS shows that the number of business applications in the 3rd quarter of 2017 that have relatively high likelihood of becoming job creators is still far below pre-Great Recession levels.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Heinisch, Rolf Scheufele
Empirical Economics,
Nr. 2,
2018
Abstract
In this paper, we investigate whether there are benefits in disaggregating GDP into its components when nowcasting GDP. To answer this question, we conduct a realistic out-of-sample experiment that deals with the most prominent problems in short-term forecasting: mixed frequencies, ragged-edge data, asynchronous data releases and a large set of potential information. We compare a direct leading indicator-based GDP forecast with two bottom-up procedures—that is, forecasting GDP components from the production side or from the demand side. Generally, we find that the direct forecast performs relatively well. Among the disaggregated procedures, the production side seems to be better suited than the demand side to form a disaggregated GDP nowcast.
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Insolvenzen in Deutschland: Deutliche Spuren in den Biografien der Beschäftigten
Manfred Antoni, Daniel Fackler, Eva Hank, Jens Stegmaier
IAB-Kurzbericht 05/2018, Nürnberg,
2018
Abstract
Wenn große Unternehmen vor der Insolvenz stehen, ist das öffentliche Interesse am Schicksal der Firma wie auch am Verbleib der Mitarbeiter meist beträchtlich. Dennoch liegen bisher nur wenige Informationen zu den Folgen einer Insolvenz für die Beschäftigten vor. Insbesondere die Insolvenzen kleiner Betriebe bleiben oft unbeachtet. Dieser Kurzbericht informiert nicht nur über das generelle Risiko der Beschäftigten, von einer Insolvenz betroffen zu sein. Er zeigt auch, mit welchen kurz- und mittelfristigen Auswirkungen die betroffenen Beschäftigten rechnen müssen. Dabei werden insbesondere die Effekte einer Insolvenz auf die Erwerbseinkommen und auf die Beschäftigungschancen der Betroffenen untersucht.
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Hidden Gems and Borrowers with Dirty Little Secrets: Investment in Soft Information, Borrower Self-selection and Competition
Reint E. Gropp, Andre Guettler
Journal of Banking and Finance,
Nr. 2,
2018
Abstract
This paper empirically examines the role of soft information in the competitive interaction between relationship and transaction banks. Soft information can be interpreted as a valuable signal about the quality of a firm that is observable to a relationship bank, but not to a transaction bank. We show that borrowers self-select to relationship banks depending on whether their observed soft information is positive or negative. Competition affects the investment in learning the soft information from firms by relationship banks and transaction banks asymmetrically. Relationship banks invest more; transaction banks invest less in soft information, exacerbating the selection effect.
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