On the public citation graph

Advanced Statistical Arbitrage with Reinforcement Learning

https://doi.org/10.2139/ssrn.4739373
0 signed · 21 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10287-009-0105-8openalex-extracted
Dynamic modeling of mean-reverting spreads for statistical arbitrage
inferredcites →https://doi.org/10.1016/j.automatica.2019.108651openalex-extracted
Sparse Mean-Reverting Portfolios Via Penalized Likelihood Optimization
inferredcites →https://doi.org/10.1016/j.eswa.2020.113490openalex-extracted
Enhancing a Pairs Trading strategy with the application of Machine Learning
inferredcites →https://doi.org/10.1057/jdhf.2013.1openalex-extracted
Pairs trading: A copula approach
inferredcites →https://doi.org/10.1080/00036846.2014.975417openalex-extracted
Pairs trading and selection methods: is cointegration superior?
inferredcites →https://doi.org/10.1080/14697680500149370openalex-extracted
Pairs trading
inferredcites →https://doi.org/10.1080/14697680903124632openalex-extracted
Statistical Arbitrage in the U.S. Equities Market
inferredcites →https://doi.org/10.1093/rfs/hhj020openalex-extracted
Pairs Trading: Performance of a Relative-Value Arbitrage Rule
inferredcites →https://doi.org/10.1108/sef-08-2018-0264openalex-extracted
Constructing cointegrated cryptocurrency portfolios for statistical arbitrage
inferredcites →https://doi.org/10.1109/icsmc.2007.4414161openalex-extracted
Important extrema of time series
inferredcites →https://doi.org/10.1111/exsy.12649openalex-extracted
Pairs trading on different portfolios based on machine learning
inferredcites →https://doi.org/10.1111/j.1475-6803.2012.01317.xopenalex-extracted
ARE PAIRS TRADING PROFITS ROBUST TO TRADING COSTS?
inferredcites →https://doi.org/10.1142/9839openalex-extracted
Optimal Mean Reversion Trading: Mathematical Analysis and Practical Applications
inferredcites →https://doi.org/10.1142/s021902491550020xopenalex-extracted
OPTIMAL MEAN REVERSION TRADING WITH TRANSACTION COSTS AND STOP-LOSS EXIT
inferredcites →https://doi.org/10.1287/mnsc.2022.03132openalex-extracted
Deep Learning Statistical Arbitrage
inferredcites →https://doi.org/10.2139/ssrn.3235890openalex-extracted
Constructing Cointegrated Cryptocurrency Portfolios for Statistical Arbitrage
inferredcites →https://doi.org/10.2307/1913236openalex-extracted
Co-Integration and Error Correction: Representation, Estimation, and Testing
inferredcites →https://doi.org/10.3905/jai.2012.15.1.085openalex-extracted
Trading in the Presence of Cointegration
inferredcites →https://doi.org/10.3905/jot.2010.5.1.048openalex-extracted
A Profit Model for Spread Trading with an Application to Energy Futures
inferredcites →https://doi.org/10.3905/jot.2016.11.3.041openalex-extracted
Pairs Trading with Copulas

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.3390/risks14030063openalex-snapshot
Human-AI Synergy in Statistical Arbitrage: Enhancing Robustness Across Volatile Financial Markets
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.