The Macroeconomic Development of the GDR until 1989
Udo Ludwig
Schneider, Jürgen (Hrsg.): Die Ursachen für den Zusammenbruch der Sowjetunion und der DDR (1945-1990). Eine ordnungstheoretische Analyse, Beiträge zur Wirtschafts- u. Sozialgeschichte. Band 132.2. Stuttgart,
2017
Abstract
Gegenstand der Untersuchung sind Schlüsselereignisse und politischen Strategien in der Wirtschaftsgeschichte der früheren DDR. Das Growth Accounting Model wird angewandt, um den Einfluss des Inputs von Arbeit und Kapital sowie des technischen Fortschritts auf das Wachstum des Bruttoinlandsprodukts in den verschiedenen Perioden abzuschätzen. Hauptergebnis ist die Erkenntnis, dass nur während der Wirtschaftsreformen in der zweiten Hälfte der Sechziger von der die totale Faktorproduktivität der entscheidende Einfluss auf das Wirtschaftswachstum ausging.
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Direct and Indirect Risk-taking Incentives of Inside Debt
Stefano Colonnello, Giuliano Curatola, Ngoc Giang Hoang
Journal of Corporate Finance,
August
2017
Abstract
We develop a model of compensation structure and asset risk choice, where a risk-averse manager is compensated with salary, equity and inside debt. We seek to understand the joint implications of this compensation package for managerial risk-taking incentives and credit spreads. We show that the size and seniority of inside debt not only are crucial for the relation between inside debt and credit spreads but also play an important role in shaping the relation between equity compensation and credit spreads. Using a sample of U.S. public firms with traded credit default swap contracts, we provide evidence supportive of the model's predictions.
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Bank Overall Financial Strength: Islamic Versus Conventional Banks
Michael Doumpos, Iftekhar Hasan, Fotios Pasiouras
Economic Modelling,
2017
Abstract
A number of recent studies compare the performance of Islamic and conventional banks with the use of individual financial ratios or efficiency frontier techniques. The present study extends this strand of the literature, by comparing Islamic banks, conventional banks, and banks with an Islamic window with the use of a bank overall financial strength index. This index is developed with a multicriteria methodology that allows us to aggregate various criteria capturing bank capital strength, asset quality, earnings, liquidity, and management quality in controlling expenses. We find that banks differ significantly in terms of individual financial ratios; however, the difference of the overall financial strength between Islamic and conventional banks is not statistically significant. This finding is confirmed with both univariate comparisons and in multivariate regression estimations. When we look at the bank financial strength within regions, we find that conventional banks outperform both the Islamic banks and the banks with Islamic window in the case of Asia and the Gulf Cooperation Council; however, Islamic banks perform better in the MENA and Senegal region. Second stage regressions also reveal that the bank overall financial strength index is influenced by various country-specific attributes. These include control of corruption, government effectiveness, and operation in one of the seven countries that are expected to drive the next big wave in Islamic finance.
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Politische Determinanten staatlicher Ausfallrisiken
Stefan Eichler
Wirtschaft im Wandel,
No. 2,
2017
Abstract
Staatliche Zahlungsausfälle haben nicht selten politische Ursachen. Während ökonomische Rahmenbedingungen wie etwa Wirtschaftswachstum, Finanzstabilität oder globale Investorenstimmungen die Zahlungsfähigkeit eines Staates beeinflussen, wird die tatsächliche Rückzahlung von Staatsschulden letztendlich von der einheimischen Regierung entschieden. Die Zahlungswilligkeit einer Regierung spielt daher eine entscheidende Rolle für das Risiko eines staatlichen Zahlungsausfalls. In diesem Artikel wird der Einfluss politischer Faktoren auf das staatliche Ausfallrisiko für 27 Schwellen- und Entwicklungsländer im Zeitraum von 1996 bis 2009 untersucht. Die Auswertung von Anleihedaten zeigt, dass Investoren ein höheres Ausfallrisiko fürchten, falls ein Land politisch instabil ist oder von einer Rechts- bzw. Linkspartei regiert wird. Der Einfluss politischer Faktoren auf das staatliche Ausfallrisiko eines Landes sinkt mit dessen Grad an Demokratie und Integration in die Weltwirtschaft.
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From World Factory to World Investor: The New Way of China Integrating into the World
Bijun Wang, Xiang Li
China Economic Journal,
No. 2,
2017
Abstract
This paper argues that outward direct investment (ODI) is replacing international trade as the new way China integrates into the world. Based on two complementary datasets, we document the pattern of Chinese ODI. We argue that the rapid growth of China’s ODI is the result of strong economic development, increasing domestic constraints, and supportive government policies. Compared with trade integration, investment integration involves China more deeply in global business. As a new global investor, China’s ODI in the future is full of opportunities, risks, and challenges. The Chinese government should improve bureaucracy coordination and participate more in designing and maintaining international rules to protect ODI interests.
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Enabling the Wisdom of the Crowd: Transparency in Peer-to-Peer Finance
Oliver Rehbein, Michael Koetter
G20 Insights Policy Brief, Policy Area "Financial Resilience",
2017
Abstract
The rapid growth exhibited by peer-to-peer finance markets raises hopes that especially young ventures might obtain better access to funding. Yet, consumer protection concerns are looming as borrowers and projects requesting finance from the crowd are inherently opaque. We suggest clear rules to enable peer-to-peer lenders and investors to more effectively screen projects. We plea for strengthening self-responsibility of the investor crowd by clearly assigning, and limiting the responsibilities of regulatory authorities and recognizing the regulatory difference between new peer-to-peer, and traditional financial markets. As a result the peer-to-peer market can develop to more effectively complement traditional sources of finance, instead of turning into a funding source for bad investment projects looking to exploit uninformed lenders and investors.
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Tail-risk Protection Trading Strategies
Natalie Packham, Jochen Papenbrock, Peter Schwendner, Fabian Wöbbeking
Quantitative Finance,
No. 5,
2017
Abstract
Starting from well-known empirical stylized facts of financial time series, we develop dynamic portfolio protection trading strategies based on econometric methods. As a criterion for riskiness, we consider the evolution of the value-at-risk spread from a GARCH model with normal innovations relative to a GARCH model with generalized innovations. These generalized innovations may for example follow a Student t, a generalized hyperbolic, an alpha-stable or a Generalized Pareto distribution (GPD). Our results indicate that the GPD distribution provides the strongest signals for avoiding tail risks. This is not surprising as the GPD distribution arises as a limit of tail behaviour in extreme value theory and therefore is especially suited to deal with tail risks. Out-of-sample backtests on 11 years of DAX futures data, indicate that the dynamic tail-risk protection strategy effectively reduces the tail risk while outperforming traditional portfolio protection strategies. The results are further validated by calculating the statistical significance of the results obtained using bootstrap methods. A number of robustness tests including application to other assets further underline the effectiveness of the strategy. Finally, by empirically testing for second-order stochastic dominance, we find that risk averse investors would be willing to pay a positive premium to move from a static buy-and-hold investment in the DAX future to the tail-risk protection strategy.
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Plant-based Bioeconomy in Central Germany – A Mapping of Actors, Industries and Places
Wilfried Ehrenfeld, Frieder Kropfhäußer
Technology Analysis and Strategic Management,
No. 5,
2017
Abstract
The bioeconomy links industrial and agricultural research and production and is expected to provide growth, particularly in rural areas. However, it is still unclear which companies, research institutes and universities make up the bioeconomy. This makes it difficult to evaluate the policy measures that support the bioeconomy. The aim of this article is to provide an inventory of relevant actors in the three Central German states of Saxony, Saxony-Anhalt and Thuringia. First we take an in-depth look at the different sectors, outline the industries involved, note the location and age of the enterprises and examine the distribution of important European industrial activity classification (NACE) codes. Our results underline the fact that established industry classifications are insufficient in identifying the plant-based bioeconomy population. We also question the overly optimistic statements regarding growth potentials in rural areas and employment potentials in general.
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Joint R&D Subsidies, Related Variety, and Regional Innovation
T. Broekel, Matthias Brachert, M. Duschl, T. Brenner
International Regional Science Review,
No. 3,
2017
Abstract
Subsidies for research and development (R&D) are an important tool of public R&D policy, which motivates extensive scientific analyses and evaluations. This article adds to this literature by arguing that the effects of R&D subsidies go beyond the extension of organizations’ monetary resources invested into R&D. It is argued that collaboration induced by subsidized joint R&D projects yield significant effects that are missed in traditional analyses. An empirical study on the level of German labor market regions substantiates this claim, showing that collaborative R&D subsidies impact regions’ innovation growth when providing access to related variety and embedding regions into central positions in cross-regional knowledge networks.
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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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