This seems to conflate predictability with determinism.
The value of stock options hews very close to what Black-Scholes theory would assume. There's one loose bone: volatility. But reasonable estimates of volatility are close enough for any real applications of derivatives (i.e. hedging, not speculation).
The uncovered parity equation of exchange rates has one loose bone: sovereign risk premia. If Cristina Kirschner dies and her successor starts privatizing foreign-owned capital assets, well, there goes the model. And to a smaller extent this is happening all the time. But if you had to take a decision on how local interest rates affect exchange rates, this is an excellent guide.
If anything, economics is insufficiently mathematical in the treatment of what it can't determine. It's a reasonable mean field theory but should be more Bayesian about what it takes as assumption (markets will open tomorrow -- fruit and stock alike...). The assumptions are mostly fine but we should, as a general public, have a clearer picture of how fine.
Then, how well is epidemiology doing this? 99% confidence intervals from March Covid models should encompass the possibility that there's almost no fomite transmission but the virus remains alive in airborne aerosols for longer distances and time. We might all have gone the Swede route, where true agglomerations were instantly shut down, or at least prevented having the WHO and the Surgeon General telling us not to wear masks.