This paper analyses the time-series behaviour of the new issue market in the context of an equilibrium model of demand and supply for IPOs. The model produces testable equations examining the relationship between the number of new issues and the average level of under-pricing, and also...

Evidence of dividend yield return predictability has been presented so widely and consistently that the result has tended to be generally accepted. This paper shows that return predictability of the dividend yield is a spurious result that is due to dividend persistence and finds that standard...

Evidence of dividend yield return predictability has been presented so widely and consistently that the result has tended to be generally accepted. This paper shows that return predictability of the dividend yield is a spurious result that is due to dividend persistence and finds that standard...

One of the most contentious debates today is whether pollution-intensive industries seek locations with weak environmental standards, turning these locations into 'pollution havens." Empirical studies to date show little evidence to support the pollution haven hypothesis, but suffer potentially...

Privacy becomes a major concern for both customers and enterprises in today’s corporate marketing strategies, many research efforts have been put into developing new privacy-aware technologies. Among them, Hippocratic databases are one of the important mechanisms to guarantee the respect of...

[Abstract]: Publishing data for analysis from a micro data table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity model was proposed for privacy preserving data publication. While focusing on identity...

Privacy becomes a major concern for both customers and enterprises in today's corporate marketing strategies, many research efforts have been put into developing new privacy-aware technologies. Among them, Hippocratic databases are one of the important mechanisms to guarantee the respect of...

Nowadays privacy becomes a major concern and many research efforts have been dedicated to the development of privacy protecting technology. Anonymization techniques provide an e±cient approach to protect data privacy. We recently proposed a systematic clustering1 method based on k-...

[Abstract]: Privacy is today an important concern for both data providers and data users. Data generalization can provide signicant protection of an individual's privacy, which means the data value can be replaced by a less specic but semantically consistent value and the personal information...

[Abstract]: Publishing data for analysis from a microdata table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-anonymity model was proposed for privacy preserving data publication. While focusing on identity disclosure,...