A new wavelet-based ultra-high-frequency ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
A new wavelet-based ultra-high-frequency analysis of triangular currency arbitrage
Auteur(s) :
Gradojevic, Nikola [Auteur]
Lille économie management - UMR 9221 [LEM]
Erdemlioglu, Deniz [Auteur]
Lille économie management - UMR 9221 [LEM]
Gençay, Ramazan [Auteur]
Lille économie management - UMR 9221 [LEM]
Erdemlioglu, Deniz [Auteur]
Lille économie management - UMR 9221 [LEM]
Gençay, Ramazan [Auteur]
Titre de la revue :
Economic Modelling
Pagination :
57-73
Éditeur :
Elsevier
Date de publication :
2020-02
ISSN :
0264-9993
Mot(s)-clé(s) en anglais :
Foreign exchange markets
Triangular arbitrage
Limit order book
Wavelets
Triangular arbitrage
Limit order book
Wavelets
Discipline(s) HAL :
Sciences de l'Homme et Société/Gestion et management
Résumé en anglais : [en]
We develop a new framework to characterize the dynamics of triangular (three-point) arbitrage in electronic foreign exchange markets. To examine the properties of arbitrage, we propose a wavelet-based regression approach ...
Lire la suite >We develop a new framework to characterize the dynamics of triangular (three-point) arbitrage in electronic foreign exchange markets. To examine the properties of arbitrage, we propose a wavelet-based regression approach that is robust to estimation errors, measurement bias and persistence. Relying on this wavelet-based (denoising) inference, we consider various liquidity and market risk indicators to predict arbitrage in a unique ultra-high-frequency exchange rate data set. We find strong empirical evidence that limit order book, realized volatility and cross-correlations help forecast triangular arbitrage profits. The estimates are statistically significant and relevant for investors such that on average 80−100 arbitrage opportunities exist with a short duration (100−500 ms) on a daily basis. Our analysis also reveals that triangular arbitrage opportunities are counter-cyclical at ultra-high-frequency levels: arbitrage returns tend to increase (decrease) in periods when volatility risk and correlations are relatively low (high). We show that liquidity-driven microstructure measures, however, appear to be more powerful in exploiting arbitrage profits when compared to market-driven factors.Lire moins >
Lire la suite >We develop a new framework to characterize the dynamics of triangular (three-point) arbitrage in electronic foreign exchange markets. To examine the properties of arbitrage, we propose a wavelet-based regression approach that is robust to estimation errors, measurement bias and persistence. Relying on this wavelet-based (denoising) inference, we consider various liquidity and market risk indicators to predict arbitrage in a unique ultra-high-frequency exchange rate data set. We find strong empirical evidence that limit order book, realized volatility and cross-correlations help forecast triangular arbitrage profits. The estimates are statistically significant and relevant for investors such that on average 80−100 arbitrage opportunities exist with a short duration (100−500 ms) on a daily basis. Our analysis also reveals that triangular arbitrage opportunities are counter-cyclical at ultra-high-frequency levels: arbitrage returns tend to increase (decrease) in periods when volatility risk and correlations are relatively low (high). We show that liquidity-driven microstructure measures, however, appear to be more powerful in exploiting arbitrage profits when compared to market-driven factors.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :
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