A dynamic analysis of the differential incidence of capital and labour taxes in a two-class economy

This paper studies a differential incidence model, where a rise in a capital tax is accompanied by a change in a labour tax to hold constant the per capita government revenue, in a two-class growing economy. The major concern is to analyse the conditions necessary for the burden of such a tax substitution to fall solely, partially, or inconsequentially on capitalists or workers. The results obtained indicate that a higher rate of capital tax tends to impose a greater burden on workers.     

Equilibrium pricing of contingent claims in tradable permit markets

We advance a model of the tradable permit market and derive a pricing formula for contingent claims traded in the market in a general equilibrium framework. It is shown that prices of such contingent claims exhibit significantly different properties from those in the ordinary financial markets. In particular, if the social cost function kinks at some level of abatement, the forward price, as well as the spot price, can be subject to the so‐called price spike. However, this price‐spike phenomenon can be weakened if a system of banking and borrowing is properly introduced. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:559–589, 2010     

EKC-type transitions and environmental policy under pollutant uncertainty and cost irreversibility

Previous studies have suggested that some pollutant levels first increases due to the economic growth and then start decreasing, the pattern being called the “environmental Kuznets curve” (EKC). We examine EKC-type transitions of pollutant levels not with respect to economic growth but more generally in time. Assuming that each policy maker optimally executes the two switching options of regulation and unregulation for pollution, the switching dynamics of environmental policy can be described by an alternating renewal process. It is shown that the double Laplace transform of transition density of a pollutant level can be obtained by a novel application of renewal theory. The expected level of overall pollutants is then calculated numerically and found to exhibit either a Λ‐shaped or an N-shaped pattern in time. Our results present a simple explanation for the EKC-type transitions of pollutant levels within a real options framework.     

Investment and capital structure decisions of foreign subsidiary with international debt shifting and exchange rate uncertainty

This paper examines the impact of international debt shifting and exchange rate uncertainty on investment and capital structure decisions of foreign subsidiary. We find that debt shifting induces earlier investment, earlier default, higher leverage, and larger ex ante firm value of foreign subsidiary. When debt shifting is not so costly, the optimal leverage of foreign subsidiary increases as the tax rate differential increases. Moreover, when the correlation between exchange rate and foreign cash flow uncertainties is positive (negative, respectively), foreign investment advances as exchange rate uncertainty increases (decreases) as well as the correlation increases. These results reveal that the impact of debt shifting and exchange rate uncertainty on investment and capital structure policies cannot be ignored, supporting existing empirical findings.     

Modeling of Contagious Credit Events and Risk Analysis of Credit Portfolios

We present a new model of the occurence of credit events such as rating changes and defaults for risk analyses of some portfolio credit derivatives. The framework of our model is based on a so-called top-down approach. Specifically, we first consider modeling the point process of each type of credit event in the whole economy using a self-exciting intensity process. Next, we characterize the point processes of credit events in the underlying sub-portfolio using random thinning processes specified by the distribution of credit ratings in the sub-portfolio. One of the main features of our model is that the model can capture credit risk contagion simultaneously among several credit portfolios. We present a credit event simulation algorithm based on our model and illustrate an application of the model to risk analyses of loan portfolios.     

Marketing–Industrial Design Integration in New Product Development: The Case of China*

Despite the acknowledgement of functional integration as an important driver of new product development (NPD) success and the growing recognition of the significance of industrial design (ID), the integration between industrial design and other functional units in NPD has been rarely researched. In this article, we examine the marketing and ID integration in NPD in the context of China. Mainly based on Cooper's (1994) stage‐gate phases of NPD process and Gupta, Raj, and Wilemon's (1985) categorization of NPD activities, we develop a conceptual framework that identifies 29 areas that might require integration or where integration might occur between marketing and ID. Specifically, we investigate and compare the current and the ideal integration between marketing and ID perceived by the two functions. An analysis of data from 113 companies reveals that the current level of integration fell short of the ideal level of integration in all the phases of NPD. Both managers believed in the descending trend of integration along the stage‐gate NPD phases and were dissatisfied with the current level of integration in all the NPD phases. Except for a few areas of agreement, marketing and ID managers showed significant differences with each other in their perceptions of the current and the ideal integration in most of the 29 areas. Despite the disagreements however, the two functions agreed with each other on the most important areas that require integration and achieved the highest level of marketing–ID integration. These findings suggest that firms should improve the marketing–ID integration in all the NPD phases and that management could improve the effectiveness of marketing–ID integration by prioritizing and focusing on the most important areas. Research and managerial implications, limitations, and future research directions are presented in the paper.     

PORTFOLIO SELECTION PROBLEMS VIA THE BIVARIATE CHARACTERIZATION OF STOCHASTIC DOMINANCE RELATIONS1

Stochastic dominance (SD) is a very useful tool in various areas of economics and finance. the purpose of this paper is to provide the results of SD relations developed in other areas such as applied probability which, we believe, are useful for many portfolio selection problems. In particular, the bivariate characterization of SD relations given by Shanthikumar and Yao (1991) is a powerful tool for the demand and the shift effect problems in optimal portfolios. the method enables one to extend many results that hold for the case where the underlying lying assets are statistically independent to the dependent case directly.     

The microstructural foundations of leverage effect and rough volatility

We show that typical behaviors of market participants at the high frequency scale generate leverage effect and rough volatility. To do so, we build a simple microscopic model for the price of an asset based on Hawkes processes. We encode in this model some of the main features of market microstructure in the context of high frequency trading: high degree of endogeneity of market, no-arbitrage property, buying/selling asymmetry and presence of metaorders. We prove that when the first three of these stylized facts are considered within the framework of our microscopic model, it behaves in the long run as a Heston stochastic volatility model, where a leverage effect is generated. Adding the last property enables us to obtain a rough Heston model in the limit, exhibiting both leverage effect and rough volatility. Hence we show that at least part of the foundations of leverage effect and rough volatility can be found in the microstructure of the asset.     

Central limit theorem for the realized volatility based on tick time sampling

A central limit theorem for the realized volatility estimator of the integrated volatility based on a specific random sampling scheme is proved, where prices are sampled with every ‘continued price change’ in bid or ask quotation data. The estimator is shown to be robust to market microstructure noise induced by price discreteness and bid–ask spreads. More general sampling schemes also are treated in case that the price process is a diffusion.