Das Spannungsverhältnis von Unklarheitenregel und Transparenzgebot — insbesondere bei Allgemeinen Versicherungsbedingungen

The text deals with the relation of § 305c Abs. 2 BGB (contra proferentem rule) and § 307 Abs. 1 S. 2 BGB (transparency control) especially in terms and conditions of insurance contracts. The author demonstrates that the contra proferentem rule is a special rule for ambiguous standard terms and conditions that is of higher priority than the transparency control.     

Uniqueness of the fair premium for equity-linked life insurance contracts

An equity-linked life insurance contract combines an endowment life insurance and an investment strategy with a minimum guarantee. The benefit of this contract is determined by the guaranteed amount plus a bonus equal to a call on the portfolio. This bonus is similar to an Asian option. This article analyzes the relationship between the periodic insurance premium and its proportional share invested into the portfolio. For a general model of the financial risks we show the existence and uniqueness of an insurance premium. Furthermore the premium is strictly increasing and convex as a function of the share invested.     

The impact of patents and standards on macroeconomic growth: a panel approach covering four countries and 12 sectors

Based on the assumption that codified technological know-how contributes to economic growth, this paper presents the estimation of a Cobb–Douglas production function, pooling data from four European countries and 12 sectors. The empirical results confirm that both the stock of patents and the stock of technical standards contribute significantly to economic growth in the 1990s. Whereas the results of the country models are rather similar, we observe significant differences between the sector models, which indicate that standards are more important for growth in less R&D-intensive industries and patents in R&D-intensive industries.

Managing portfolio risk in strategic technology management: evidence from a panel data-set of the world's largest R&D performers

In this article, we analyze the impact of firms’ technology bases on their financial performance. By taking a strategic perspective of technology, we argue that it is not sufficient to analyze only the size or novelty/quality of the technology base as technology bases can best be understood as portfolios of individual technologies. In such a framework, risk consideration should be taken into account. More specifically, we argue that increasing technological breadth can serve as a hedge against the inherent uncertainties of developing and commercializing technology, in particular when the technology base is very large or novel. We also propose that technology has higher impacts on financial performance for firms with broader technology portfolios. A similar argument proposes that technological breadth can offset the increased risks of addressing foreign markets. We test our hypotheses using an international panel data-set of large R&D-performing firms. Our results suggest that broad technology portfolios can indeed serve as a hedge against technological and commercialization risks.     

An Equilibrium Model of Catastrophe Insurance Futures and Spreads

This article presents a valuation model of futures contracts and derivatives on such contracts, when the underlying delivery value is an insurance index, which follows a stochastic process containing jumps of random claim sizes at random time points of accident occurrence. Applications are made on insurance futures and spreads, a relatively new class of instruments for risk management launched by the Chicago Board of Trade in 1993, anticipated to start in Europe and perhaps also in other parts of the world in the future. The article treats the problem of pricing catastrophe risk, which is priced in the model and not treated as unsystematic risk. Several closed pricing formulas are derived, both for futures contracts and for futures derivatives, such as caps, call options, and spreads. The framework is that of partial equilibrium theory under uncertainty.     

Density Forecasts With Midas Models

We propose a parametric block wild bootstrap approach to compute density forecasts for various types of mixed‐data sampling (MIDAS) regressions. First, Monte Carlo simulations show that predictive densities for the various MIDAS models derived from the block wild bootstrap approach are more accurate in terms of coverage rates than predictive densities derived from either a residual‐based bootstrap approach or by drawing errors from a normal distribution. This result holds whether the data‐generating errors are normally independently distributed, serially correlated, heteroskedastic or a mixture of normal distributions. Second, we evaluate density forecasts for quarterly US real output growth in an empirical exercise, exploiting information from typical monthly and weekly series. We show that the block wild bootstrapping approach, applied to the various MIDAS regressions, produces predictive densities for US real output growth that are well calibrated. Moreover, relative accuracy, measured in terms of the logarithmic score, improves for the various MIDAS specifications as more information becomes available. Copyright © 2016 John Wiley & Sons, Ltd.     

Option pricing under fast‐varying long‐memory stochastic volatility

Recent empirical studies suggest that the volatility of an underlying price process may have correlations that decay slowly under certain market conditions. In this paper, the volatility is modeled as a stationary process with long‐range correlation properties in order to capture such a situation, and we consider European option pricing. This means that the volatility process is neither a Markov process nor a martingale. However, by exploiting the fact that the price process is still a semimartingale and accordingly using the martingale method, we can obtain an analytical expression for the option price in the regime where the volatility process is fast mean reverting. The volatility process is modeled as a smooth and bounded function of a fractional Ornstein–Uhlenbeck process. We give the expression for the implied volatility, which has a fractional term structure.