  Firm financials are well established as return predictors, being the
inspiration for a large set of anomalies in the asset pricing literature.
Employing topological data analysis we revisit the question of association
between seven of the most commonly studied financial ratios and stock returns.
Specifically the TDA Ball Mapper algorithm is applied to visualise the point
cloud of financial ratios as an abstract two-dimensional graph readily allowing
for identification of interdependencies between factors. These relationships
are seldom monotonic, opportunities for investors to profitably exploit this
knowledge provided by TDA abound. Clear potential offered by the tools of TDA
to shed new light on asset pricing models is demonstrated. Scope for benefit is
limited only by the availability of information to the analyst.
