On eToro, traders mirror popular investors rather than profitable ones, and the simulation used to argue for performance-based signals depends on an autocorrelation in returns that the data do not show.
Formally Verified Transformation of Non-binary Constraints into Binary Constraints
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abstract
It is well known in the Constraint Programming community that any non-binary constraint satisfaction problem (with finite domains) can be transformed into an equivalent binary one. One of the most well-known translations is the Hidden Variable Encoding. In this paper we formalize this encoding in the proof assistant Coq and prove that any solution of the binary constraint satisfaction problem makes it possible to build a solution of the original problem and vice-versa. This formal development is used to complete the formally verified constraint solver developed in Coq by Carlier, Dubois and Gotlieb in 2012, making it a tool able to solve any n-ary constraint satisfaction problem, The key of success of the connection between the translator and the Coq binary solver is the genericity of the latter.
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physics.soc-ph 1years
2025 1verdicts
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On eToro, traders mirror popular investors rather than profitable ones, and the simulation used to argue for performance-based signals depends on an autocorrelation in returns that the data do not show.