Strategic Firm Behavior Under Average-Revenue-Lagged Regulation

Price caps have been shown to have incentive properties superior to traditional rate of return regulation. Average-revenue-lagged regulation (ARL) is attractive in that steady-state prices are known to be efficient. We show that the ARL scheme can be manipulated by the firm so as to yield the unregulated global profit maximum. While tests exist that can provide the regulator with evidence of this strategic behavior, we also demonstrate that the unregulated global profit maximum will not be attainable if Laspeyres (L) regulation is employed.Jel classification: L43, L51I would like to thank Michael Crew and an anonymous referee for their extremely helpful suggestions.     

Politically stable pay-as-you-go pension systems: When the social-insurance budget is too small in a democracy

The essay analyzes in an overlapping-generations model, to which extent a pay-as-you-go pension system will be the outcome of majority voting, given specific institutional set-ups. Clearly, the vote of an active person depends on his expectations about how the present decision (i.e., his contribution) is linked to the future (i.e., his benefits), when he will be retired. In the paper we employ the assumption of a basic social contract where each active voter's future benefits are positively related to his contributions. It is shown that in this framework a steady-state with a positive (though lower than optimal) level of the pension system exists, even if a new majority decision about the system takes place every period.     

A study of Hong Kong Businessmen's perceptions of the role “Guanxi” in the People's Republic of China

Guanxi is perceived as a major determinant for successful business in China. This research paper investigates the importance of Guanxi from the Hong Kong Businessmen's viewpoint. It confirms previous findings in this area and adds on new dimensions. Therefore, practitioners and academics may further refine their knowledge in this subject.Leung, T. K. P. is an Assistant Professor of Hong Kong Polytechnic University. He specializes in industrial marketing and marketing in China. His current research interests include issues in Guanxi, networking in China, and Chinese negotiation. He has published in referred journals related to the PRC market.Wong, Y. H. is an Assistant Professor at Hong Kong Polytechnic University. He teaches courses in sales management and international marketing. His current research focuses on issues of relationship marketing and Guanxi model. His recent publications include articles in preferred journal and books.Wong, Syson was a lecturer of Hong Kong Polytechnic University and is now a business consultant. She specializes in quantitative methods and China business. Her current consultancy works include a big project in China.     

中国金融控股集团发展：分业还是混业？

中国的金融控股集团可界定为跨业经营,再加上金融企业资产的弱专用性,因此现有金融管理体制下存在金融控股集团发展的空间。但本文分析认为金融控股集团的经营前景不能确定,应积极、审慎地发展。     

Careers in public sector science: orientations and implications

There is consensus that the world of science is changing (Ziman, 1994; see for example Nowotny et al., 2002). The environment in which scientists work is typified now as increasingly dynamic, managerialist and commercialised. This paper focuses on how scientists within different organisational and national contexts understand and enact their careers in the face of such changes. Based on empirical work in the UK and New Zealand, this paper introduces four career orientations evident in the career accounts of these participants. The categories are further analysed in terms of the key drivers to career: science, the organisation and the individual. Implications for career management are discussed in each section. In conclusion, the paper makes two related contributions. First, the evidence presented poses a challenge to highly individualised notions of the career actor central to current career thinking, instead revealing scientists' continued attachment to old institutional arrangements alongside new and emerging ways of understanding career. Second, with reference to the issue of career management of research scientists, the study highlights the need for those involved in management to look beyond employing organisations to other life interests, and science itself. It argues the need for those involved in career management to recognise the variety of legitimate ways to run a scientific career.     

Replicating portfolio approach to capital calculation

The replicating portfolio (RP) approach to the calculation of capital for life insurance portfolios is an industry standard. The RP is obtained from projecting the terminal loss of discounted asset–liability cash flows on a set of factors generated by a family of financial instruments that can be efficiently simulated. We provide the mathematical foundations and a novel dynamic and path-dependent RP approach for real-world and risk-neutral sampling. We show that our RP approach yields asymptotically consistent capital estimators if the chaotic representation property holds. We illustrate the tractability of the RP approach by three numerical examples.     

An expansion in the model space in the context of utility maximization

In the framework of an incomplete financial market where the stock price dynamics are modeled by a continuous semimartingale (not necessarily Markovian), an explicit second-order expansion formula for the power investor’s value function—seen as a function of the underlying market price of risk process—is provided. This allows us to provide first-order approximations of the optimal primal and dual controls. Two specific calibrated numerical examples illustrating the accuracy of the method are also given.     

A risk-neutral equilibrium leading to uncertain volatility pricing

We study the formation of derivative prices in an equilibrium between risk-neutral agents with heterogeneous beliefs about the dynamics of the underlying. Under the condition that short-selling is limited, we prove the existence of a unique equilibrium price and show that it incorporates the speculative value of possibly reselling the derivative. This value typically leads to a bubble; that is, the price exceeds the autonomous valuation of any given agent. Mathematically, the equilibrium price operator is of the same nonlinear form that is obtained in single-agent settings with worst-case aversion against model uncertainty. Thus, our equilibrium leads to a novel interpretation of this price.     

Chebyshev interpolation for parametric option pricing

Recurrent tasks such as pricing, calibration and risk assessment need to be executed accurately and in real time. We concentrate on parametric option pricing (POP) as a generic instance of parametric conditional expectations and show that polynomial interpolation in the parameter space promises to considerably reduce run-times while maintaining accuracy. The attractive properties of Chebyshev interpolation and its tensorized extension enable us to identify broadly applicable criteria for (sub)exponential convergence and explicit error bounds. The method is most promising when the computation of the prices is most challenging. We therefore investigate its combination with Monte Carlo simulation and analyze the effect of (stochastic) approximations of the interpolation. For a wide and important range of problems, the Chebyshev method turns out to be more efficient than parametric multilevel Monte Carlo. We conclude with a numerical efficiency study.