indicating cheat or dishonest, irresponsibility, reckless in respective of protection of clients’ benefit, lack of cautiousness or unfair or unreliable business conduct; (5) be able to show that its
in respective of protection of clients’ benefit, lack of cautiousness or unfair or unreliable business conduct; In case where shareholder under the first paragraph is a legal entity, its director or
, irresponsibility, carelessness to the client’s benefit, recklessness or unfair or unreliable business conducts, except where the applicant has received the permission from the Office due to the improvement in its
, dishonesty, irresponsibility, carelessness to the client’s benefit, recklessness or unfair or unreliable business conducts, except where the applicant has received the permission from the Office due to the
respective of protection of clients’ benefit, lack of cautiousness or unfair or unreliable business conduct; (5) be able to show that its operational system will be prompt for operating securities business in
nature of deceit or dishonesty or irresponsibility, carelessness in protecting clients’ benefits or lack of cautiousness or unfair or unreliable business conducts; (4) Be able to show that its systems for
irresponsibility, carelessness in protecting clients’ benefits or lack of cautiousness or unfair or unreliable business conducts; (4) Be able to show that its systems for operating fund supervisor business, at least
irresponsibility, carelessness in protecting clients’ benefits or lack of cautiousness or unfair or unreliable business conducts; (4) Be able to show that its systems for operating fund supervisor business, at least
test cycle information provided by vehicle manufacturers in complying with these regulations. However, it is recognized that emissions data provided by vehicle manufacturers has proven to be unreliable
unreliable results or even spurious relationships since measurement errors of CSR proxies may correlate with an error term of the regression model, which in turn causes bias in the estimation of regression