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Mutual insurance companies and stock insurance companies are different forms of organized risk sharing: policyholders and owners are two distinct groups in a stock insurer, while they are one and the same in a mutual. This distinction is relevant to raising capital, selling policies, and sharing risk in the presence of financial distress. Up-front capital is necessary for a stock insurer to offer insurance at a fair premium, but not for a mutual. In the presence of an owner-manager conflict, holding capital is costly. Free-rider and commitment problems limit the degree of capitalization that a stock insurer can obtain. The mutual form, by tying sales of policies to the provision of capital, can overcome these problems at the potential cost of less diversified owners.
This paper documents the methodology underlying the construction of a global database of gross foreign asset and liability positions for 153 countries over the period 1970 to 2004 and illustrates some key data characteristics. The data cover both inflows and outflows of capital and thus allow for an assessment of the degree of international financial integration. In addition to net foreign asset stocks, we also provide details on the composition of the main asset and liability categories, namely the foreign direct investment, equity investment and debt components. Finally, we report on valuation changes as one of the main sources of discrepancy between transaction-based capital flow data and stock values of investment positions. The dataset is available for download at www.ifk-cfs.de/fileadmin/downloads/data/cfs-icfd.zip. or http://publikationen.ub.uni-frankfurt.de/volltexte/2007/4855/original/cfs-icfd.zip JEL Classification: F21; F34; F32
In this paper we revisit medium- to long-run exchange rate determination, focusing on the role of international investment positions. To do so, we develop a new econometric framework accounting for conditional long-run homogeneity in heterogeneous dynamic panel data models. In particular, in our model the long-run relationship between effective exchange rates and domestic as well as weighted foreign prices is a homogeneous function of a country’s international investment position. We find rather strong support for purchasing power parity in environments of limited negative net foreign asset to GDP positions, but not outside such environments. We thus argue that the purchasing power parity hypothesis holds conditionally, but not unconditionally, and that international investment positions are an essential component to characterizing this conditionality. Finally, we adduce evidence that whether deterioration of a country’s net foreign asset to GDP position leads to a depreciation of that country’s effective exchange rate depends on its rate of inflation relative to the rate of inflation abroad as well as its exposure to global shocks. JEL Classification: F31, F37, C23
Much has been written on the success of the Indian software industry, enumerating systemic factors like first-class higher education and research institutions, both public and private; low labour costs, stimulating (state) policies etc. However, although most studies analyzing the 'Indian' software industry cover essentially the South (and West) Indian clusters, this issue has not been tackled explicitly. This paper supplements the economic geography explanations mentioned above with the additional factor social capital, which is not only important within the region, but also in transnational (ethnic) networks linking Indian software clusters with the Silicon Valley. In other words, spatial proximity is complemented with cultural proximity, thereby, extending the system of innovation. The main hypothesis is that some Indian regions are more apt to economic development and innovation due to their higher affinity to education and learning, as well as, their more general openness, which has been a main finding of my interviews. In addition, the transnational networks of Silicon Valley Indians seem to be dominated by South Indians, thus, corroborating the regional clustering of the Indian software industry. JEL Classifications: O30, R12, Z13, L86
The Indian IT industry has received great attention. Although most studies cover South Indian locations, clustering has rarely been a topic. This study focuses on Bangalore addressing questions related to Bangalore’s successful development and lessons thereof for other regions in and outside India. The approach pertains to economic geography and international business; hypotheses have been developed from a multi-disciplinary literature survey and interview fieldwork in Bangalore. I emphasize human and social capital and networks. While the first chapter delineates cultural foundations of human capital formation, the second and third deal with bonding and bridging social capital (or dense and loose networks), respectively; the fourth is an outlook on future opportunities through intersectoral upgrading. The main hypothesis is that a combination of both forms of social networks - contingent upon sub-sectors – has helped Bangalore developing a successful IT industry. Positive attitudes towards education led to relatively more human capital spawning two positive feedbacks: 1) establishment of national research and educational institutes resulting in large inflows of a diversity of people providing the required setting for creativity and innovation; 2) transnational networks linking to Silicon Valley are dominated by people from South India, allowing for additional knowledge spillovers corroborating the regional clustering.
This paper documents the experiences of assurance evaluation during the early stage of a large software development project. This project researches, contracts and integrates privacy-respecting software to business environments. While assurance evaluation with ISO 15408 Common Criteria (CC) within the certification schemes is done after a system has been completed, our approach executes evaluation during the early phases of the software life cycle. The promise is to increase quality and to reduce testing and fault removal costs for later phases of the development process. First results from the still-ongoing project suggests that the Common Criteria can define a framework for assurance evaluation in ongoing development projects.
Using a unique data set on trade credit defaults among French firms, we investigate whether and how trade credit is used to relax financial constraints. We show that firms that face idiosyncratic liquidity shocks are more likely to default on trade credit, especially when the shocks are unexpected, firms have little liquidity, are likely to be credit constrained or are close to their debt capacity. We estimate that credit constrained firms pass more than one fourth of the liquidity shocks they face on to their suppliers down the trade credit chain. The evidence is consistent with the idea that firms provide liquidity insurance to each other and that this mechanism is able to alleviate the consequences of credit constraints. In addition, we show that the chain of defaults stops when it reaches firms that are large, liquid, and have access to financial markets. This suggests that liquidity is allocated from large firms with access to outside finance to small, credit constrained firms through trade credit chains.
Public employee pension systems throughout the developed world have traditionally been of the pay-as-you-go (PAYGO) defined benefit (DB) variety, where pensioner payments are financed by taxes (contributions) levied on the working generation. But as the number of retirees rises relative to the working-age group, such systems have begun to face financial distress. This trend has been exacerbated in many countries, among them Germany, by high unemployment rates producing further deterioration of the contribution base. In the long run, public sector pension benefits will have to be cut or contributions increased, if the systems are to be maintained. An alternative path sometimes offered to ease the crunch of paying for public employee pensions is to move toward funding: here, plan assets are gradually built up, invested, and enhanced returns devoted to partly defray civil servants’ pension costs. In this study, we evaluate the impact of introducing partial prefunding, paired with a strategic investment policy for the German federal state of Hesse. The analysis assesses the impact of introducing a supplementary tax-sponsored pension fund whose contributions are invested in the capital market and used to relieve the state budget from (some) pension payments. Our model determines the expectation and the Conditional Value-at-Risk of economic pension costs using a stochastic simulation process for pension plan assets. This approach simultaneously determines the optimal contribution rate and asset allocation that controls the expected economic costs of providing the promised pensions, while at the same time controlling investment risk. Specifically, we offer answers to the following questions: 1. How can the plan be designed to control cash-flow shortfall risk, so as to mitigate the potential burden borne by future generations of taxpayers? 2. What is the optimal asset allocation for this fund as it is built up, to generate a maximum return while simultaneously restricting capital market and liability risk? 3. What are reasonable combinations of annual contribution rates and asset allocation to a state-managed pension fund, which will limit costs of providing promised public sector pensions? We anticipate that this research will interest several sorts of policymaker groups. First, focusing on the German case, the state and Federal governments should find it relevant, as these entities face considerable public sector pension liabilities. Second, our findings will also be of interest to other European countries, as most have substantial underfunded defined benefit plans for civil servants. In what follows, we first offer a brief description of the structure of civil servant pensions in Germany, focusing on their benefit formulas, their financing, and the resulting current as well as future plan obligations for taxpayers. Next, we turn to an analysis of the actuarial status of the Hesse civil servants’ pension plan and evaluate how much would have to be contributed to fund this plan in a nonstochastic context. Subsequently we evaluate the asset-liability and decision-making process from the viewpoint of the plan sponsor, to determine sensible plan asset allocation behavior. A final section summarizes findings and implications.
We propose a new approach to measuring the effect of unobservable private information or beliefs on volatility. Using high-frequency intraday data, we estimate the volatility effect of a well identified shock on the volatility of the stock returns of large European banks as a function of the quality of available public information about the banks. We hypothesise that, as the publicly available information becomes stale, volatility effects and its persistence should increase, as the private information (beliefs) of investors becomes more important. We find strong support for this idea in the data. We argue that the results have implications for debate surrounding the opacity of banks and the transparency requirements that may be imposed on banks under Pillar III of the New Basel Accord.
This paper traces the location of foreign banks in Germany from 1949 to 2006. As suggested by new economic geography models we find a ‘u’-shaped concentration of foreign banks in Germany. Only after a competition between several cities, Frankfurt has emerged as the pre-eminent financial centre, triggered by the ‘historical event’ of setting up the German central bank in Frankfurt. After a strong increase, Frankfurt’s share in the location of foreign banks in Germany decreases slowly but significantly since the mid 1980’s. We conclude that there will be a lesser role in Europe for secondtier financial centres in the future.