Tax competition and the international distribution of firm ownership: an invariance result

How does the international distribution of firm ownership affect the outcomes of tax/subsidy competition for mobile plants? As corporate ownership becomes increasingly globalised, this question becomes increasingly important for policy. We prove a strong invariance result in the context of the tax/subsidy competition between two host countries for a monopoly firm’s plant. Both the equilibrium plant location and the equilibrium tax/subsidy offers are independent of the international distribution of the firm’s ownership. The reason is that the tax/subsidy competition equalises the firm’s post-tax profits across countries, making owners of capital indifferent towards the location of production.     

Deposit market competition,wholesale funding,and bank risk

Empirical research on the effect of bank competition on bank risk has so far produced very inconclusive results. In this paper we revisit this long-standing debate and propose a new empirical approach that is concentrated on the relationship between deposit market competition and bank risk. This approach closely follows the traditional theoretical views of the competition and risk relationship and is focused on testing the classical moral hazard problem of the bank: deposit market competition raises the optimal risk choice of the bank by raising the costs of bank liabilities. Since banks can substitute between retail and wholesale funding, we relate deposit market competition to wholesale market conditions and examine their joint effect on the risk of bank assets. The analysis is based on a unique, comprehensive dataset, which combines retail deposit rate data with data on bank characteristics and data on local deposit market features for a sample of 589 US banks. Our results support the notion of a risk-enhancing effect of deposit market competition.     

Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach

While univariate nonparametric estimation methods have been developed for estimating returns in mean-downside risk portfolio optimization, the problem of handling possible cross-correlations in a vector of asset returns has not been addressed in portfolio selection. We present a novel multivariate nonparametric portfolio optimization procedure using kernel-based estimators of the conditional mean and the conditional median. The method accounts for the covariance structure information from the full set of returns. We also provide two computational algorithms to implement the estimators. Via the analysis of 24 French stock market returns, we evaluate the in-sample and out-of-sample performance of both portfolio selection algorithms against optimal portfolios selected by classical and univariate nonparametric methods for three highly different time periods and different levels of expected return. By allowing for cross-correlations among returns, our results suggest that the proposed multivariate nonparametric method is a useful extension of standard univariate nonparametric portfolio selection approaches.     

Computers BITE accounting education

The recent establishment of the £20 million Teaching and Learning Technology Programme by the Universities' Funding Council in the UK provides one of the largest boosts for IT and education since PLATO (in the USA) and NDPCAL (in the UK). This note describes the BITE project which is part of the above programme and highlights some of the problems that have affected both the development and evaluation of accounting courseware in the past. By using a strong interdisciplinary team of software, educational and subject specialists, the project hopes to overcome some or all of these problems.     

Optimal Reinsurance Arrangements Under Tail Risk Measures

Regulatory authorities demand insurance companies control their risk exposure by imposing stringent risk management policies. This article investigates the optimal risk management strategy of an insurance company subject to regulatory constraints. We provide optimal reinsurance contracts under different tail risk measures and analyze the impact of regulators' requirements on risk sharing in the reinsurance market. Our results underpin adverse incentives for the insurer when compulsory Value-at-Risk risk management requirements are imposed. But economic effects may vary when regulatory constraints involve other risk measures. Finally, we compare the obtained optimal designs to existing reinsurance contracts and alternative risk transfer mechanisms on the capital market.