Correlation matrix clustering for statistical arbitrage portfolios
We propose a framework to construct statistical arbitrage portfolios with graph clustering algorithms. First, we use various clustering methods to partition the correlation matrix of market residual returns of stocks into clusters. Next, we construct and evaluate the performance of mean-reverting st...
Auteurs principaux: | Jin, Q, Cucuringu, M, Cartea, A |
---|---|
Format: | Conference item |
Langue: | English |
Publié: |
Association for Computing Machinery
2023
|
Documents similaires
-
Execution and statistical arbitrage with signals in multiple automated market makers
par: Cartea, A, et autres
Publié: (2023) -
Arbitrage and Portfolio Constraints
par: Helmut Elsinger, et autres
Publié: (2005-08-01) -
Trading strategies within the edges of no-arbitrage
par: Cartea, Á, et autres
Publié: (2018) -
Large markets: asymptotic arbitrage and portfolio optimisation
par: Dub, A
Publié: (2016) -
Robust statistical arbitrage
par: Yin, Daiying
Publié: (2021)