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In the last years, much effort went into the design of robust anaphor resolution algorithms. Many algorithms are based on antecedent filtering and preference strategies that are manually designed. Along a different line of research, corpus-based approaches have been investigated that employ machine-learning techniques for deriving strategies automatically. Since the knowledge-engineering effort for designing and optimizing the strategies is reduced, the latter approaches are considered particularly attractive. Since, however, the hand-coding of robust antecedent filtering strategies such as syntactic disjoint reference and agreement in person, number, and gender constitutes a once-for-all effort, the question arises whether at all they should be derived automatically. In this paper, it is investigated what might be gained by combining the best of two worlds: designing the universally valid antecedent filtering strategies manually, in a once-for-all fashion, and deriving the (potentially genre-specific) antecedent selection strategies automatically by applying machine-learning techniques. An anaphor resolution system ROSANA-ML, which follows this paradigm, is designed and implemented. Through a series of formal evaluations, it is shown that, while exhibiting additional advantages, ROSANAML reaches a performance level that compares with the performance of its manually designed ancestor ROSANA.
We consider Schwarz maps for triangles whose angles are rather general rational multiples of pi. Under which conditions can they have algebraic values at algebraic arguments? The answer is based mainly on considerations of complex multiplication of certain Prym varieties in Jacobians of hypergeometric curves. The paper can serve as an introduction to transcendence techniques for hypergeometric functions, but contains also new results and examples.
Seabirds in the UK were generally more productive in 2005 than in 2004, when productivity for many species reached an all-time low. A presumed scarcity of sandeels in 2004, especially in the North Sea, led to widespread starvation of chicks in the Northern Isles and in many places along the east coast of Britain (there is also recent evidence that prey fish were of unusually low energy content in 2004 around SE Scotland). The likely knock-on effect for 2005 was that there were few larger sandeels present (those that hatched in 2004) and it is thought that feeding on these fish allow adults to attain breeding condition in spring. This food scarcity and a cold spring led to what was among the latest breeding seasons on record. However, a late appearance of young sandeels allowed some chicks to fledge, and alternative prey species (such as sprat and small haddock) were taken also. However, it is thought that some chicks starved in this late season, as sandeels become unavailable in late summer, when they settle on the seabed. Unusually, 2005 was a very poor breeding season for many species in NW Scotland, which was spared the food shortages of 2004 and previous years; preferred prey during chick rearing were scarce in this region in 2005.
In this paper, I examine the potential of mobile alerting services empowering investors to react quickly to critical market events. Therefore, an analysis of short-term (intraday) price effects is performed. I find abnormal returns to company announcements which are completed within a timeframe of minutes. To make use of these findings, these price effects are predicted using pre-defined external metrics and different estimation methodologies. Compared to previous research, the results provide support that artificial neural networks and multiple linear regression are good estimation models for forecasting price effects also on an intraday basis. As most of the price effect magnitude and effect delay can be estimated correctly, it is demonstrated how a suitable mobile alerting service combining a low level of user-intrusiveness and timely information supply can be designed.
This paper shows that a capital budgeting process in which the division manager is required to engage in personally costly influence activities prior to a project approval has beneficial incentive effects: It provides the manager with incentives to acquire costly information about project prospects and helps to elicit the revelation of the acquired information. As a consequence, imposing influence costs on the manager can lead to improved capital allocations. The optimal level of influence costs, chosen by the firm, trades off ex ante incentives for information acquisition against efficient use of the acquired information ex post.
Asset securitisation as a risk management and funding tool : what does it hold in store for SMES?
(2005)
The following chapter critically surveys the attendant benefits and drawbacks of asset securitisation on both financial institutions and firms. It also elicits salient lessons to be learned about the securitisation of SME-related obligations from a cursory review of SME securitisation in Germany as a foray of asset securitisation in a bank-centred financial system paired with a strong presence of SMEs in industrial production. JEL Classification: D81, G15, M20
Although the commoditisation of illiquid asset exposures through securitisation facilitates the disciplining effect of capital markets on the risk management, private information about securitised debt as well as complex transaction structures could possibly impair the fair market valuation. In a simple issue design model without intermediaries we maximise issuer proceeds over a positive measure of issue quality, where a direct revelation mechanism (DRM) by profitable informed investors engages endogenous price discovery through auction-style allocation preference as a continuous function of perceived issue quality. We derive an optimal allocation schedule for maximum issuer payoffs under different pricing regimes if asymmetric information requires underpricing. In particular, we study how the incidence of uninformed investors at varying levels of valuation uncertainty and their function of clearing the market effects profitable informed investment. We find that the issuer optimises own payoffs at each valuation irrespective of the applicable pricing mechanism by awarding informed investors the lowest possible allocation (and attendant underpricing) that still guarantees profitable informed investment. Under uniform pricing the composition of the investor pool ensures that informed investors appropriate higher profit than uninformed types. Any reservation utility by issuers lowers the probability of information disclosure by informed investors and the scope of issuers to curtail profitable informed investment. JEL Classifications: D82, G12, G14, G23