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Paarhandel (Statistische Arbitrage)×Maße für Extremrisiken (Expected Shortfall, spektrale Maße, Expectile)×
FachgebietFinanzwirtschaftFinanzwirtschaft
FamilieRegression modelRegression model
Entstehungsjahr20061999
UrheberGatev, Goetzmann & Rouwenhorst (empirical rule); Vidyamurthy (quantitative framing)Artzner, Delbaen, Eber & Heath (coherent risk axioms); Acerbi & Tasche (Expected Shortfall)
TypCointegration-based mean-reversion trading strategyCoherent tail risk measure
Wegweisende QuelleGatev, 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 ↗Artzner, P., Delbaen, F., Eber, J.-M. & Heath, D. (1999). Coherent Measures of Risk. Mathematical Finance, 9(3), 203–228. DOI ↗
Aliasnamenstatistical arbitrage, relative-value arbitrage, mean-reversion pairs strategy, Çift Alım-Satım Stratejisi (Pairs Trading / Statistical Arbitrage)expected shortfall, conditional value at risk, CVaR, spectral risk measure
Verwandt55
ZusammenfassungPairs 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).Tail risk measures quantify the loss distribution beyond Value-at-Risk (VaR). Expected Shortfall — the expected loss given that VaR is exceeded — is the leading coherent risk measure, formalised by Artzner, Delbaen, Eber and Heath (1999) and shown to be coherent by Acerbi and Tasche (2002). Spectral and expectile-based measures generalise it.
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ScholarGateMethoden vergleichen: Pairs Trading · Tail Risk Measures. Abgerufen am 2026-06-19 von https://scholargate.app/de/compare