The purpose of this study is to analyze the valuation effects of cross-listing. The study has conducted a univariate analysis of the Tobin＇s Q and the market-to-book ratio for the period before and after the cross-li...The purpose of this study is to analyze the valuation effects of cross-listing. The study has conducted a univariate analysis of the Tobin＇s Q and the market-to-book ratio for the period before and after the cross-listing by using paired tests. Non-cross-listed firms are then included in multivariate regressions by using pooled Time Series Cross Section （TSCS） and Panel Corrected Standard Error （PCSE） regressions for a period of 13 years to find out if there is a difference in the valuations between cross-listed firms and non-cross-listed firms. The study＇s results indicate that the Tobin＇s Q of cross-listed-firms increases two years prior to cross-listing and that it continues to increase two years after cross-listing. The market-to-book ratios also show an increase two years prior to cross-listing and up to one year after cross-listing, then decrease in the second year after cross-listing. When non-cross-listed firms are included in the analysis, results indicate that cross-listed firms are valued higher than non-cross-listed firms. When data are portioned for positive earnings per share （EPS） and dividends, results indicate that valuation is the highest when EPS is positive. Since segmentation theories cannot be ruled out, the study＇s findings are more in support of the growth opportunity hypothesis.展开更多
In this paper we use the simplex B-spline representation of polynomials or piecewise polynomials in terms of their polar forms to construct several differential or discrete bivariate quasi interpolants which have an o...In this paper we use the simplex B-spline representation of polynomials or piecewise polynomials in terms of their polar forms to construct several differential or discrete bivariate quasi interpolants which have an optimal approximation order.This method provides an efficient tool for describing many approximation schemes involving values and(or) derivatives of a given function.展开更多
文摘The purpose of this study is to analyze the valuation effects of cross-listing. The study has conducted a univariate analysis of the Tobin＇s Q and the market-to-book ratio for the period before and after the cross-listing by using paired tests. Non-cross-listed firms are then included in multivariate regressions by using pooled Time Series Cross Section （TSCS） and Panel Corrected Standard Error （PCSE） regressions for a period of 13 years to find out if there is a difference in the valuations between cross-listed firms and non-cross-listed firms. The study＇s results indicate that the Tobin＇s Q of cross-listed-firms increases two years prior to cross-listing and that it continues to increase two years after cross-listing. The market-to-book ratios also show an increase two years prior to cross-listing and up to one year after cross-listing, then decrease in the second year after cross-listing. When non-cross-listed firms are included in the analysis, results indicate that cross-listed firms are valued higher than non-cross-listed firms. When data are portioned for positive earnings per share （EPS） and dividends, results indicate that valuation is the highest when EPS is positive. Since segmentation theories cannot be ruled out, the study＇s findings are more in support of the growth opportunity hypothesis.
文摘In this paper we use the simplex B-spline representation of polynomials or piecewise polynomials in terms of their polar forms to construct several differential or discrete bivariate quasi interpolants which have an optimal approximation order.This method provides an efficient tool for describing many approximation schemes involving values and(or) derivatives of a given function.
