MGPraxis42,984 papers mapped

Analysis of Ornstein-Uhlenbeck process stopped at maximum drawdown and application to trading strategies with trailing stops

Grigory Temnov·2015

A 2015 paper by Temnov on pairs trading and statistical arbitrage in currencies: the abstract mentions profits and drawdowns and leaves out a benchmark, an out-of-sample test, transaction costs, multiple testing and the size of the universe.

“In order to describe the quantitative characteristics of the projected return of the strategy, we derive the explicit expression for the running maximum of the Ornstein-Uhlenbeck process stopped at maximum drawdown and look at the correspondence between derived characteristics and the observed ones.”

AssetCurrenciescurrency pairs
StrategyPairs trading
ClaimProfitdrawdown

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 neighbourhoodPairs trading and statistical arbitrage by year
■ currencies■ equities■ crypto■ multi-asset■ other assets20002005201065This paper2015542020711112026■ currencies■ equities■ crypto■ multi-asset■ other assets2000200520105This paper201542020711112026
The family is counted across the whole universe. Asset, method and authors are counted inside the family.
Similar paperscitationsame methodsame assetsame authors
Robust Currency Cointegration using Bayesian Optimization by Lo et al.2026
Technical Analysis, Spread Trading and Data Snooping Control by Psaradellis et al.2018
A Regime-Aware, Free-Boundary Framework for Statistical Arbitrage: Kalman-Filtered Synthetic Baskets, EGARCH Volatility, Markov Regime Detection, and Optimal Stopping via Hamilton-Jacobi-Bellman by Bektas2026
Pairs Trading: A Change Point Perspective by Dou et al.2026
Regime-Aware Statistical Arbitrage: Rolling Cointegration with Dynamic Volatility Targeting in the S&P 100 by Wong2026
Not yet audited by MarketGraphs Praxis. Tags from the abstract. Counts from the universe.
RSS · Contacts