Assume that I have a random variable $X$ (which I know will have a power law tail).
If I had the CDF for $X$, $G(x)$, then I could easy calculate this tail as something like, $$ \alpha = \lim_{x\to\infty}\left(\frac{x G'(x)}{1 - G(x)}\right) $$ Alternatively, in logs with $X = e^Z$ and a CDF for $z$ instead, F(z), then the calculation should be $$ \alpha = \lim_{z\to\infty}\left(\frac{F'(z)}{1 - F(z)}\right) $$ (you can try these out for $X$ a pareto distribution, which would mean that $Z$ is an exponential distribution from standard probability).
QUESTION: Lets say that I cannot find an expression for $F(z)$ (or $G(x)$ if you prefer, I should be able to convert) Instead, I am able to calculate a (mostly) analytical quantile function $Q(q) = F^{-1}(q)$ for $z$. Assume monotonicity, invetibility, etc.
My question is: From only $Q$ and its derivatives, is there a limit I can take to find $\alpha$ for the underlying variable? (I imagine the limit would be as $q \to 1$)?