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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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1122 · Apr 202619922001200920172026
7 results for Lambda-quantiles

Efficient algorithms compute lambda quantiles for robust portfolio optimization.

problem Computing lambda quantiles efficiently and robustly.
method Λ-Newton-Bis algorithm combining Newton's method and bisection, interval analysis for multiple roots.
result Demonstrated computational efficiency and practical relevance in portfolio optimization.

Study on risk contributions of portfolios using lambda quantile risk measures.

problem No known allocation rule for non-positively homogeneous risk measures.
method Defined lambda quantiles on portfolio compositions, derived derivatives, and introduced generalized Euler contributions.
result Explicit formulae for the derivatives of lambda quantiles, showing their homogeneity properties.

Study max- and min-stability under first-order stochastic dominance, finding new functional characterizations.

problem Understanding max- and min-stability in stochastic dominance.
method Representation theorem for functionals satisfying max-stability, combining max- and min-stability to define Lambda-quantiles.
result New characterizations of functionals, including Lambda-quantiles, in finance and political science.

Paper finds robust ΛΛ-quantiles equal to extremal distributions.

problem Investigating robust models for ΛΛ-quantiles with partial loss information.
method Extending classical quantiles using ΛΛ-quantiles and applying results from robust quantiles.
result Robust ΛΛ-quantiles equal to ΛΛ-quantiles of extremal distributions.

FairPOT balances fairness and AUC performance by selectively transforming risk scores.

problem Balancing fairness and AUC performance in high-stakes domains.
method FairPOT uses proportional optimal transport to selectively transform risk scores.
result FairPOT consistently improves fairness with minimal AUC degradation or even positive gains.