• Medientyp: E-Book
  • Titel: Learning and Trusting Cointegration in Statistical Arbitrage
  • Beteiligte: Diamond, Richard V. [VerfasserIn]
  • Erschienen: [S.l.]: SSRN, [2014]
  • Umfang: 1 Online-Ressource (27 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.2220092
  • Identifikator:
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 30, 2014 erstellt
  • Beschreibung: The paper offers adaptation of cointegration analysis for statistical arbitrage. Cointegration is a structural relationship model that relies on dynamic correction towards the equilibrium. The model is ultimately linear: when relationships are decoupled, the forecast of individual price follows a linear trend over the long term. 'Error correction' terminology does not apply to forecasting and therefore, is misleading.Dynamic correction towards the equilibrium realises as a mean-reverting feature of the spread generated by the cointegrated relationship. Quality of mean-reversion defines suitability for statistical arbitrage and is evaluated by fitting to the Ornstein-Uhlenbeck process. Trade design cannot rely on standard cointegration tests due to their low power; their formulation is incompatible with the GBM process for asset price. However, the econometric specification of equilibrium correction is compatible with the OU process fit.There are two technical appendices. Appendix A collects time series decompositions and derivations frequently omitted in presentation of the equilibrium correction. Appendix B discusses the common issues of equity pairs trading that relies on simple cointegration
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