Rabbit Anti-Human DCC Polyclonal antibody

This paper quantitatively examines return transmission and volatility spillovers between banking sector stocks in the US and eight other countries by applying our newly extended VAR-DCC-MEGARCH-M model with asym- metric spillovers and Student - t or skew - t errors. Our investigations clarify almost unidirectional stock return transmission from the US banking sector to all other eight international banking sectors. In addition, we also uncover bidirectional volatility spillovers between the US and other eight international banking sector stocks, which are all tied to the leverage effect. Moreover, using the dynamic conditional variances and covariances from our extended model, we derive the time -varying optimal hedge ratios and optimal portfolio weights. These analyses reveal that, except for such extraordinary periods as during financial crises, we can hedge the US banking sector stocks with other international banking sector stocks, and that well-balanced portfolios of the US and other banking sector stocks are optimal. Furthermore, additional analysis using gold, silver, and platinum futures reveals that we can hedge international banking sector stocks with precious metal futures highly ef- fectively, and that well-balanced portfolios of banking stocks and precious metals are optimal. Based on the results from our analyses, this paper derives many significant interpretations and implications for financial and systemic risk management.

This paper explores the relative stock market performance of well-diversified gender equality equity indices in comparison with the overall market, taking both a cross-sectoral and a financial sector approach, for the period January 2017 to March 2020, with a sample of 11 indices and 834 daily observations, and using several different statistical and econometric methods. Our results show a high level of dynamic conditional correlation of daily returns among the gender equality and the overall indices. We also found comparable levels of conditional volatility (resulting from an Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH)model) and an elevated degree of synchronization of the volatility regimes (identified by a Markov switching model). Calibrating simple linear quantile regressions, we found that the value of the slope coefficients of the hypothetical linear relationship between the gender equality indices and the overall market indices are close to one, and relatively stable in relation with the value of the quantile. Using separate Vector Autoregressive (VAR) models for the cross-sectoral indices and for the financial sector indices, we found only very little evidence of causality and spill-over effects. Based on these results, we argue that the daily returns of the gender equality indices exhibited very similar characteristics with the daily returns of the overall market indices. In our interpretation, this could mean that, limited to our sample and methods of investigation, there were not significant differences in the investors' preferences towards the equity issued by public companies committed to supporting gender equality, in comparison with their approach towards listed equity in general. It could also mean that investors do not yet anticipate the significantly different financial performance of listed companies stemming from their approach towards gender equality.