Special Relativity in Financial Modeling 1.0.0
Lorentz transforms, spacetime classification, and geodesic price paths for quantitative finance
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Public Attributes | List of all members
srfm::portfolio::OptimizationResult Struct Reference

Result of a single portfolio optimization run. More...

#include <relativistic_optimizer.hpp>

Public Attributes

Eigen::VectorXd weights
 Optimal asset weights (sum to 1, >= 0)
 
double geodesic_risk
 Achieved geodesic risk d_geo²
 
double expected_return
 w^T μ_rel (relativistic expected return)
 
int iterations
 Number of gradient descent iterations.
 
bool converged
 True iff convergence_tol was reached.
 

Detailed Description

Result of a single portfolio optimization run.

Definition at line 76 of file relativistic_optimizer.hpp.

Member Data Documentation

◆ converged

bool srfm::portfolio::OptimizationResult::converged

True iff convergence_tol was reached.

Definition at line 81 of file relativistic_optimizer.hpp.

◆ expected_return

double srfm::portfolio::OptimizationResult::expected_return

w^T μ_rel (relativistic expected return)

Definition at line 79 of file relativistic_optimizer.hpp.

◆ geodesic_risk

double srfm::portfolio::OptimizationResult::geodesic_risk

Achieved geodesic risk d_geo²

Definition at line 78 of file relativistic_optimizer.hpp.

◆ iterations

int srfm::portfolio::OptimizationResult::iterations

Number of gradient descent iterations.

Definition at line 80 of file relativistic_optimizer.hpp.

◆ weights

Eigen::VectorXd srfm::portfolio::OptimizationResult::weights

Optimal asset weights (sum to 1, >= 0)

Definition at line 77 of file relativistic_optimizer.hpp.


The documentation for this struct was generated from the following file: