MGPraxis6,400 papers identified by name

Topological Risk Parity

Revant Nayar, Dnyanesh Kulkarni, El Mehdi Ainasse·2026

“The method is motivated by the dominance of passive/factor flows that naturally create a tree-like structure in markets.”

AssetEquitiesETFs
StrategyPortfolio optimizationmacro signals
Long/shortLong-short

Missing from abstract: benchmark, out-of-sample test, costs, multiple testing, universe

Institutional-grade audit of this strategy.
£5 — Request the audit
  • Audit of the paper claims accounting for costs, luck, crises, originality, geography, etc.
  • Reproduction code integratable into Bloomberg, IBKR, etc.
  • Bias-free datasets for backtesting included
  • Delivered in 2 working days
The paper's neighbourhoodPortfolio optimization by year
■ equities■ multi-asset■ currencies■ volatility and options■ other assets20002005201092015202071214This paper2026■ equities■ multi-asset■ currencies■ volatility and options■ other assets20002005201092015202014This paper2026
The family is counted across the whole universe. Asset, method and authors are counted inside the family.
Similar paperscitationsame methodsame assetsame authors
An Automated Black-Litterman Framework for Global Fixed Income by Carver et al.2026
On the Limits of Low-Frequency OHLCV Signals in Machine Learning-Driven Portfolio Optimization A Cost-Aware, Leak-Free Benchmark on Large-Cap US Equities by Pardo2026
Can Advanced Portfolio Optimization Beat Equal Weighting? Evidence from Indian Large-Cap Walk-Forward Backtests by Dabi and Dabi2026
A Two-Stage Decision Support System for Sustainability-Aware Long Short Portfolio Optimization by di Tollo et al.2026
Comparative Evaluation of Modern Deep Learning Methodologies for Portfolio Optimization by Ozechi et al.2026
Not yet audited by MarketGraphs Praxis. Tags from the abstract. Counts from the universe.
RSS · Contacts