Table 5

Quantile regression: Log (assets) and CoVaR by shadow banking class, sponsor, and investor

NCOVAR
q25Q50Q75
Full Sample 4320.047 (<0.001)*0.037 (<0.001)*0.015 (0.133)
Shadow banking classFixed-income funds420.024 (0.520)0.013 (0.521)0.013 (0.585)
Funds-of-funds1510.028 (0.210)0.018 (0.189)0.012 (0.279)
Money market funds230.007 (0.137)0.003 (0.619)0.005 (0.535)
Multi-asset funds2160.059 (<0.001)*0.068 (<0.001)*0.047 (0.025)*
SponsorBanks410.017 (0.189)0.013 (0.529)0.012 (0.653)
Insurer650.055 (0.046)*0.011 (0.338)0.003 (0.850)
Asset manager3260.047 (p < 0.001)*0.039 (p < 0.001)*0.021 (0.097)
InvestorInstitutional320.028 (0.905)0.043 (0.593)0.057 (0.835)
Retail4100.049 (p < 0.001)*0.013 (0.269)0.013 (0.269)
Retail multi-asset funds sponsored by asset managers1610.059 (p < 0.001)*0.073 (p = 0.002)*0.062 (0.090)
Retail multi-asset funds sponsored by insurers250.064 (0.123)0.052 (0.078)0.048 (0.066)

Note(s): This table reports the quantile regression results. (*) indicates that the relationship between size and systemic risk is statistically significant at 5% significance level. The full sample size model is statistically significant at 25th and 50th percentiles, lower and median levels of systemic risk, respectively. The multi-asset funds model is significant at lower, median and higher systemic risk levels. Other significant results are those of insurers, asset managers, and retail funds at 25th percentile. The asset manager model is also significant at 50th percentile

Source(s): Authors’ own work * denotes a statistically significant relationship

or Create an Account

Close subscription notice
Close access options