Armut in Deutschland – versagt der Sozialstaat?

Empirische Untersuchungen haben nachgewiesen, dass es in Deutschland in einem betr?chtlichen Ausma? Armut gibt. Wie wird Armut definiert? Wie kann man Armut messen? Hat in Deutschland die Ungleichheit der Einkommensverteilung zugenommen? Welche Ma?nahmen müssten ergriffen werden, um Armut zu verhindern? Prof. Dr. Richard Hauser, 70, ist Emeritus des Lehrstuhls für Volkswirtschaftslehre, insbesondere Verteilungs- und Sozialpolitik, an der Johann-Wolfgang-Goethe-Universit?t in Frankfurt am Main. * Vortrag gehalten im Rahmen der Tagung der Akademie für politische Bildung Tutzing in Zusammenarbeit mit dem Studienseminar für Berufliche Schulen in Südbayern zum Thema Umbau oder Abbau – wie viel Zukunft hat der deutsche Sozialstaat? vom 18.-20. Dezember 2006 in Tutzing.     

A cybernetic model of work-life balance through time

Answering a call for a more fully developed concept of work-life balance (WLB), we use person-environment fit and control theories to develop a model of WLB incorporating the work, family, and personal domains. We propose a cybernetic model which recognizes that individuals have a desired balance among the three domains that serves as a standard against which they compare their perceptions of WLB at any given point in time. Our cybernetic model suggests that individuals will seek to restore balance when a negative imbalance is perceived. Further we propose that role senders and resources in the domains, as well as anticipated future WLB and retrospective perceptions of WLB also affect desired balance and actions. We discuss the implications of the proposed model for future research and practice.     

Entrepreneurship in Europe

This article focuses on the changes in attitude and venture capital provision that the author believes are necessary to rekindle the spirit of entrepreneurship in Europe. The article goes on to discuss technology clusters and the role of stock markets. It then describes the way the Cambridge-based Amadeus venture capital company sets about the venture capital process. It concludes with a plea for entrepreneurship centres to be set up in each university and for some changes in government policy.     

Highway to (Digital) Surveillance: When Are Clients Coerced to Share Their Data with Insurers?

Journal of Business Ethics - Clients may feel trapped into sharing their private digital data with insurance companies to get a desired insurance product or premium. However, private insurance must...     

The Price of Options Illiquidity

The purpose of this paper is to examine the effect of illiquidity on the value of currency options. We use a unique dataset that allows us to explore this issue in special circumstances where options are issued by a central bank and are not traded prior to maturity. The value of these options is compared to similar options traded on the exchange. We find that the nontradable options are priced about 21 percent less than the exchange-traded options. This gap cannot be arbitraged away due to transactions costs and the risk that the exchange rate will change during the bidding process.     

Hedging Strategies of Financial Intermediaries: Pricing Options with a Bid-Ask Spread

This paper uses a model similar to the Boyle-Vorst and Ritchken-Kuo arbitrage-free models for the valuation of options with transactions costs to determine the maximum price to be charged by the financial intermediary writing an option in a non-auction market. Earlier models are extended by recognizing that, in the presence of transactions costs, the price-taking intermediary devising a hedging portfolio faces a tradeoff: to choose a short trading interval with small hedging errors and high transactions costs, or a long trading interval with large hedging errors and low transactions costs. The model presented here also recognizes that when transactions costs induce less frequent portfolio adjustments, investors are faced with a multinomial distribution of asset returns rather than a binomial one. The price upper bound is determined by selecting the trading frequency that will equalize the marginal gain from decreasing hedging errors and the marginal cost of transactions.