Trend arbitrage, bid-ask spread and market dynamics
Nikolai Zaitsev
Abstract
Microstructure of market dynamics is studied through analysis of tick price data. Linear trend is introduced as a tool for such analysis. Trend arbitrage inequality is developed and tested. The inequality sets limiting relationship between trend, bid-ask spread, market reaction and average update frequency of price information. Average time of market reaction is measured from market data. This parameter is interpreted as a constant value of the stock exchange and is attributed to the latency of exchange reaction to actions of traders. This latency and cost of trade are shown to be the main limit of bid-ask spread. Data analysis also suggests some relationships between trend, bid-ask spread and average frequency of price update process.
Create a lesson
Related papers
Multivariate amplitude analysis of the cascade particle decays based on the Nearest Neighbors fitting
I. V. Yeletskikh, A. O. Vasyukov
The geometry of uncertainty decomposition in profile-likelihood fits
Rafael Coelho Lopes de Sá
Statistical validation of calorimeter inpainting with generative diffusion priors
Himanshu Raj, Roli Esha
Unknown Unknowns: Model Misspecification in Machine Learning for Physics
Juan Cruz-Martinez, Carolina Cuesta-Lazaro, Alexander Held et al.
Exploring new directions in enhancing the ACTS parameter optimization suite
Chance LaVoie, Qi Bin Lei, Rocky Bala Garg et al.
Analytically Consistent Reconstruction of Finite Data Using Padé Sequences
Emerson Díaz, Balma Duch, Pere Masjuan