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Paarhandel (Statistische Arbitrage)×Wavelet-Analyse von Finanzzeitreihen×
FachgebietFinanzwirtschaftFinanzwirtschaft
FamilieRegression modelRegression model
Entstehungsjahr20062001
UrheberGatev, Goetzmann & Rouwenhorst (empirical rule); Vidyamurthy (quantitative framing)Gençay, Selçuk & Whitcher; Aguiar-Conraria & Soares
TypCointegration-based mean-reversion trading strategyTime-frequency decomposition
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 ↗Gençay, R., Selçuk, F. & Whitcher, B. (2001). An Introduction to Wavelets and Other Filtering Methods in Finance and Economics. Academic Press. DOI ↗
Aliasnamenstatistical arbitrage, relative-value arbitrage, mean-reversion pairs strategy, Çift Alım-Satım Stratejisi (Pairs Trading / Statistical Arbitrage)wavelet coherence, continuous wavelet transform, time-frequency analysis, Dalgacık (Wavelet) Finansal Analiz
Verwandt51
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).Wavelet financial analysis decomposes a financial time series into different frequency bands (time scales) so short- and long-term relationships can be studied at the same time. Drawing on the treatments of Gençay, Selçuk and Whitcher (2001) and Aguiar-Conraria and Soares (2014), wavelet coherence then visualises how the relationship between two series shifts across both time and frequency.
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ScholarGateMethoden vergleichen: Pairs Trading · Wavelet Financial Analysis. Abgerufen am 2026-06-19 von https://scholargate.app/de/compare