Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Paaride kauplemine (statistiline arbitraaž)× | HAR-RV mudel realiseeritud volatiilsusest× | |
|---|---|---|
| Valdkond | Rahandus | Rahandus |
| Perekond | Regression model | Regression model |
| Tekkeaasta≠ | 2006 | 2009 |
| Looja≠ | Gatev, Goetzmann & Rouwenhorst (empirical rule); Vidyamurthy (quantitative framing) | Fulvio Corsi |
| Tüüp≠ | Cointegration-based mean-reversion trading strategy | Linear time-series regression for volatility |
| Algallikas≠ | 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 ↗ | Corsi, F. (2009). A Simple Approximate Long-Memory Model of Realized Volatility. Journal of Financial Econometrics, 7(2), 174–196. DOI ↗ |
| Rööpnimetused | statistical arbitrage, relative-value arbitrage, mean-reversion pairs strategy, Çift Alım-Satım Stratejisi (Pairs Trading / Statistical Arbitrage) | HAR-RV, heterogeneous autoregressive realized volatility, Corsi HAR model, HAR-RV Modeli (Heterogeneous Autoregressive Realized Volatility) |
| Seotud | 5 | 5 |
| Kokkuvõte≠ | 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). | The HAR-RV model, introduced by Fulvio Corsi in 2009, forecasts realized volatility by decomposing it into daily, weekly, and monthly components. It is a simple linear regression that mirrors how market participants with different investment horizons react to volatility, and it naturally captures the long-memory behaviour of volatility. |
| ScholarGateAndmestik ↗ |
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