TIME‐CONSISTENT AND MARKET‐CONSISTENT EVALUATIONS

We consider evaluation methods for payoffs with an inherent financial risk as encountered for instance for portfolios held by pension funds and insurance companies. Pricing such payoffs in a way consistent to market prices typically involves combining actuarial techniques with methods from mathematical finance. We propose to extend standard actuarial principles by a new market‐consistent evaluation procedure which we call “two‐step market evaluation.” This procedure preserves the structure of standard evaluation techniques and has many other appealing properties. We give a complete axiomatic characterization for two‐step market evaluations. We show further that in a dynamic setting with continuous stock prices every evaluation which is time‐consistent and market‐consistent is a two‐step market evaluation. We also give characterization results and examples in terms of g‐expectations in a Brownian‐Poisson setting.     

The Influence of Vested Interests on Healthcare Legislation in the USA, 2009–2010

Collective lobbying organizations and some big companies acted as cautious partners in the design of the Affordable Care Act of the Obama Administration. In addition to being consulted by government executives, these entities intensively lobbied legislators. The qualitative and statistical analysis I conduct here shows a positive impact of healthcare lobbying. Collective lobbying organizations have a significant impact on lawmaking and complementary lobbying enhances their impact. However, not all (disjointed) lobbying is successful. Perspective-based distortion might explain why organizations lobby on issues against all odds of ever being effective.     

Interorganizational Trust and Technology Complexity: Evidence for New Technology‐Based Firms

Integrating the transaction cost economics and relational perspectives, this paper puts forward that technology complexity within new technology‐based firms negatively influences the level of interorganizational trust in key partner relationships. Using a data set of 105 key partner relationships of 59 new technology‐based firms, we find that the new technology‐based firm's level of trust in its key partners is lower when the level of technology complexity is high. Findings further show that both relationship and partner characteristics moderate the technology complexity—trust relationship. These results show that technology complexity as an appropriability mechanism becomes endogenous to collaboration, thereby extending the Teece framework.     

Libor Market Models versus Swap Market Models for Pricing Interest Rate Derivatives: An Empirical Analysis

We empirically compare Libor and Swap Market Models for thepricing of interest rate derivatives, using panel data on pricesof US caplets and swaptions. A Libor Market Model can directlybe calibrated to observed prices of caplets, whereas a SwapMarket Model is calibrated to a certain set of swaption prices.For both models we analyze how well they price caplets and swaptionsthat were not used for calibration. We show that the Libor MarketModel in general leads to better prediction of derivative pricesthat were not used for calibration than the Swap Market Model.Also, we find that Market Models with a declining volatilityfunction give much better pricing results than a specificationwith a constant volatility function. Finally, we find that modelsthat arechosen to exactly match certain derivative prices areoverfitted; more parsimonious models lead to better predictionsfor derivative prices that were not used for calibration. JELClassification: G12, G13, E43.     

Heterogeneous Firm‐Level Effects of Knowledge Exchanges on Product Innovation: Differences between Dynamic and Lagging Product Innovators*

Product innovation is the result of a constant interaction between the in‐house research and development (R&D) department and knowledge exchanges with the firm's environment. Knowledge exchanges come in different forms. They break down into information gathering applied in new product development, research cooperation on particular innovation projects, and managing information outflows allowing the consequent appropriation of the results of product innovation through specific methods. The way firms handle knowledge exchanges affects their performance. This paper looks at three related indicators of performance: (1) research intensity (a measure of innovative input); (2) the share of revenue realized through innovative product sales (a measure of innovative output); and (3) their impact on the growth in total revenue. The bulk of the econometric literature looking into these matters only allows general statistical statements on the behavior of an “average” firm. This paper takes on another view by using the quantile regression method to stress the heterogeneity of innovative firms in their dealing with knowledge exchange and the effect this has on their performance. A first key finding is that research intensity is positively influenced by knowledge externalities, research cooperation, and appropriability, and it is through this that these variables affect innovative revenue and also the growth in total revenue. By using quantile regression these relationships are further refined to screen for differences in behavior between dynamic and lagging innovators. This refinement indicates that, in the case of research intensity, the knowledge externalities gain in importance in the higher quantiles and are insignificant in the lower ones. Next, research cooperation remains important in all quantiles, but a higher significance is observed in the higher quantiles as well. Finally, appropriability is extremely important for the lower quantiles, but it becomes insignificant in the highest. These findings corroborate the assumptions made in the literature on open innovation: knowledge externalities and research collaboration are vital for those opening up their firm for new ideas and who are, at the same time, reluctant to protect their findings through specific appropriation measures. In the case of innovative revenue all variables on knowledge exchange operate through the research intensity irrespective of the quantile, although the impact of research intensity on this type of revenue is higher in the upper quantiles. As for the growth in revenue, the effect of the innovative revenue is, again, higher in the higher quantiles. This suggests that dynamic product innovators have the most efficient R&D process and the strongest growers are so, especially, because they are successful product innovators.     

PRICING SWAPTIONS AND COUPON BOND OPTIONS IN AFFINE TERM STRUCTURE MODELS

We propose an approach to find an approximate price of a swaption in affine term structure models. Our approach is based on the derivation of approximate swap rate dynamics in which the volatility of the forward swap rate is itself an affine function of the factors. Hence, we remain in the affine framework and well-known results on transforms and transform inversion can be used to obtain swaption prices in similar fashion to zero bond options (i.e., caplets). The method can easily be generalized to price options on coupon bonds. Computational times compare favorably with other approximation methods. Numerical results on the quality of the approximation are excellent. Our results show that in affine models, analogously to the LIBOR market model, LIBOR and swap rates are driven by approximately the same type of (in this case affine) dynamics.     

Similarities and Dissimilarities between Original Institutional Economics and New Institutional Economics

Original Institutional Economics and New Institutional Economics display several similarities. However, differences in methodology and normative stance are too big to reconcile both approaches. Both approaches may keep each other sharp.     

R&D employment effects of financial slack generated by R&D tax exemption: The importance of firm-level contingencies

This paper focuses on R&D employment effects due to financial slack generated by an R&D tax exemption scheme in Belgium. The tax exemption is granted without firm-level requirements, which facilitates testing firm-level contingencies on the influence of the generated financial slack. We find that R&D employment effects increase with the level of the R&D tax exemption related to financial slack resources and that this positive relation is more outspoken for older firms and for firms with an intermediate share of R&D tax exemptions in the overall mix of R&D policy support. No effects are found for firm size and its R&D intensity. These findings suggest targeting the R&D tax exemption support according to firm characteristics to obtain longer term R&D employment effects. The focus on R&D employment adds to the literature on the evaluation of R&D policies which is largely oriented toward R&D expenditure and innovation outputs.     

Theory and Reality of Cryptocurrency Governance

I analyze cryptocurrency ecosystems with Elinor Ostrom’s meta-framework for self-governance. I conclude that Bitcoin falls short in its self-governing ambitions, while cryptocurrency software protocols and blockchain technologies have potentialities within “permissioned” peer-to-peer private or hybrid networks. However, regulation and supervision by trusted third parties are required.