Disentangling Stock Return Synchronicity From the Auditor's Perspective
Iftekhar Hasan, Joseph A. Micale, Qiang Wu
Journal of Business Finance and Accounting,
im Erscheinen
Abstract
Abstract This paper investigates a firm's stock return asynchronicity through the auditor's perspective to distinguish whether this asynchronicity can proxy for the company's firm-specific information or the quality of its information environment. We find a significant and positive association between asynchronicity and audit fees after controlling for auditor quality and other factors that affect audit fees, suggesting that stock return asynchronicity is more likely to capture a company's firm-specific information than its information environment. We also find that asynchronous firms are more likely to receive adverse opinions on their internal controls over financial reporting, but are associated with lower costs of capital and auditor litigation, providing further evidence in support of the firm-specific information argument. Asynchronicity's positive association with audit fees is driven by firms with higher accounting reporting complexity, suggesting stock return asynchronicity captures a firm's complexity, resulting in more significant efforts by the auditor.
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Brown Bag Seminar
Brown Bag Seminar Financial Markets Department In der Seminarreihe "Brown...
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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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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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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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Complexity and Bank Risk During the Financial Crisis
Thomas Krause, Talina Sondershaus, Lena Tonzer
Economics Letters,
January
2017
Abstract
We construct a novel dataset to measure banks’ complexity and relate it to banks’ riskiness. The sample covers stock listed Euro area banks from 2007 to 2014. Bank stability is significantly affected by complexity, whereas the direction of the effect differs across complexity measures.
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The Role of Complexity for Bank Risk during the Financial Crisis: Evidence from a Novel Dataset
Thomas Krause, Talina Sondershaus, Lena Tonzer
Abstract
We construct a novel dataset to measure banks’ business and geographical complexity. Using these measures of complexity, we evaluate how they relate to banks’ idiosyncratic and systemic riskiness. The sample covers stock listed banks in the euro area from 2007 to 2014. Our results show that banks have increased their total number of subsidiaries while business and geographical complexity have declined. Bank stability is significantly affected by our complexity measures, whereas the direction of the effect differs across the complexity measures: Banks with a higher degree of geographical complexity and a higher share of foreign subsidiaries seem to be less stable. In contrast, a higher share of non-bank subsidiaries significantly decreases the probability for a state aid request during the recent crisis period. This heterogeneity advises against the use of a single complexity measure when evaluating the implications of bank complexity.
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A Review of Empirical Research on the Design and Impact of Regulation in the Banking Sector
Sanja Jakovljević, Hans Degryse, Steven Ongena
Annual Review of Financial Economics,
2015
Abstract
We review existing empirical research on the design and impact of regulation in the banking sector. The impact of each individual piece of regulation may inexorably depend on the set of regulations already in place, the characteristics of the banks involved (from their size or ownership structure to operational idiosyncrasies in terms of capitalization levels or risk-taking behavior), and the institutional development of the country where the regulation is introduced. This complexity is challenging for the econometrician, who relies either on single-country data to identify challenges for regulation or on cross-country data to assess the overall effects of regulation. It is also troubling for the policy maker, who has to optimally design regulation to avoid any unintended consequences, especially those that vary over the credit cycle such as the currently developing macroprudential frameworks.
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The Economic Optimality of Sanction Mechanisms in Interorganizational Ego Networks – A Game Theoretical Analysis –
Muhamed Kudic, Marc Banaszak
IWH Discussion Papers,
Nr. 15,
2009
Abstract
Even though small- and medium-sized firms (SMEs) were believed not to proceed beyond exporting in their internationalization routes, we can observe new types of co-operation intensive entrepreneurial firms – so-called “micromultinational enterprises” (mMNEs) – entering the global landscape. These firms face the challenge to manage and control a portfolio of national and international alliances simultaneously (ego network). The aim of this paper is to provide game theoretically consolidated conditions in order to analyze the effectiveness and efficiency of interorganizational sanction mechanisms in an alliance portfolio setting. A game theoretical framework is developed over three stages with increasing complexity. Results show that two out of six analyzed sanction mechanisms do not fulfill the game theoretical condition for effectiveness. The efficiency analysis sensibilizes for discretionary elements in governance structures and demonstrates that not one single sanction mechanism but rather the right choice and combination of different types of sanction mechanisms leads to efficient results. We contribute to the international business, alliance, and network literature in several ways by focusing on alliance portfolios held by mMNEs. In doing so, we move beyond the dyadic level and analyze sanction mechanisms from an ego network perspective, a still widely under-emphasized topic in the literature.
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