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Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.

Modelos de Riesgo de Liquidez (Amihud, Roll, LOT)×Pares de negociación (Arbitraje estadístico)×
CampoFinanzasFinanzas
FamiliaRegression modelRegression model
Año de origen20022006
Autor originalAmihud (2002); Roll (1984); Lesmond, Ogden & Trzcinka (LOT)Gatev, Goetzmann & Rouwenhorst (empirical rule); Vidyamurthy (quantitative framing)
TipoLiquidity / illiquidity measurement modelsCointegration-based mean-reversion trading strategy
Fuente seminalAmihud, Y. (2002). Illiquidity and Stock Returns: Cross-Section and Time-Series Effects. Journal of Financial Markets, 5(1), 31-56. DOI ↗Gatev, E., Goetzmann, W. N. & Rouwenhorst, K. G. (2006). Pairs Trading: Performance of a Relative-Value Arbitrage Rule. Review of Financial Studies, 19(3), 797–827. DOI ↗
AliasAmihud illiquidity, Roll spread estimator, LOT spread measure, Lesmond-Ogden-Trzcinka measurestatistical arbitrage, relative-value arbitrage, mean-reversion pairs strategy, Çift Alım-Satım Stratejisi (Pairs Trading / Statistical Arbitrage)
Relacionados55
ResumenLiquidity Risk Models are a family of measures that quantify how easily an asset trades by capturing its price impact, its effective bid-ask spread, and a holding-period adjustment. The family brings together the Amihud illiquidity ratio (Amihud, 2002), the Roll serial-covariance spread estimator (Roll, 1984), and the LOT (Lesmond-Ogden-Trzcinka) realised-spread measure.Pairs trading is a quantitative trading strategy that takes a long-short position on two cointegrated assets when the gap (spread) between their prices shows mean reversion. It was popularised as a relative-value arbitrage rule by Gatev, Goetzmann and Rouwenhorst (2006) and framed quantitatively by Vidyamurthy (2004).
ScholarGateConjunto de datos
  1. v1
  2. 2 Fuentes
  3. PUBLISHED
  1. v1
  2. 2 Fuentes
  3. PUBLISHED

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ScholarGateComparar métodos: Liquidity Risk Models · Pairs Trading. Recuperado el 2026-06-19 de https://scholargate.app/es/compare