A dynamic model with learning and adaptation captures the evolution in trader beliefs and trading strategies. Through a process of learning and observation, traders improve their understanding of the market. Traders also engage in a process of adaptation by switching between trading strategies based on past performance. The asymptotic properties are derived analytically, demonstrating that conv...

We propose a general model underlying the problem of designing trading strategies that leak no information to frontrunners and other exploiters. We study major scenarios in the market and design a family of algorithms that can be proven to leak no information in important scenarios. These algorithms can serve as building blocks for more challenging real-world scenarios beyond our current scope....

Using a data set which includes all transactions among banks in the Italian money market, we study their trading strategies and the dependence among them. We use the Fourier method to compute the variance-covariance matrix of trading strategies. Our results indicate that well defined patterns arise. Two main communities of banks, which can be coarsely identified as small and large banks, emerge...

The optimal strategy of a potential spoofer is described and applied to Level 2 data on TMX

Purpose: The article aims to analyze the peculiarities of communication strategies Internet marketing, key tools for their implementation, and development prospects in today's dynamic digital environment. Theoretical framework: strategy marketing a trading enterprise plays an integral role improving corporate strategy, ensuring stable operations current economic environment, forming competitive...

Traditional mean-variance efficient portfolios do not capture the potential wealth creation opportunities provided by predictability of asset returns. We propose a simple method for constructing optimally managed portfolios that exploits the possibility that asset returns are predictable. We implement these portfolios in both single and multi-period horizon settings. We compare alternative port...

A simple trading model based on pair pattern strategy space with holding periods is proposed. Power-law behaviors are observed for the return variance σ, the price impact H and the predictability K for both models with linear and square root impact functions. The sum of the traders’ wealth displays a positive value for the model with square root price impact function, and a qualitative explanat...

Stock markets strive to provide an efficient trading platform for investors. Trading rules and mechanisms issued to accomplish this differ among stock markets, and are subject to modification over time. Furthermore, market participants assume a broad range of roles and trading strategies. Such variation poses problems to those involved in the study of market dynamics, when developing an artific...

Electronic trading of equities and other securities makes heavy use of “arrival price” algorithms, that determine optimal trade schedules by balancing the market impact cost of rapid execution against the volatility risk of slow execution. In the standard formulation, mean-variance optimal strategies are static: they do not modify the execution speed in response to price motions observed during...