We analyze a two-country model of trade in both legitimate and counterfeit products. Domestic firms own trademarks and establish reputations for delivering high-quality products in a steady-state equilibrium. Foreign suppliers export legitimate low-quality merchandise and counterfeits of...

The project proposes a type of Artificial Neural Network (ANN) known as Long Short Term Memory (LSTM) to predict the prices for a portfolio of best stocks from five different sectors since election. The current price, technical and fundamental indicators will be learned to predict the next...

The paper presents the modelling of financial markets using the Stochastic Pi Calculus model. The Stochastic Pi Calculus model is mainly used for biological applications, however, the features of this model promotes its use in financial markets, more prominently in high frequency trading. The...

This paper examines how the introduction of a dark pool impacts price discovery, market quality, and aggregate welfare of traders. I use a four-period model where rational and risk-neutral agents choose the order type and the venue and obtain the equilibrium numerically. The comparative statics...

The implementation of a financial transaction tax has been the subject of debate for many years. Countries all across the globe have enacted various types of this tax and have seen different results depending upon factors such as the rate and the types of financial instruments affected by it....

The COVID-19 pandemic has caused significant volatility in global stock markets, reigniting concerns around the regulation of high-frequency traders. High-frequency traders are electronic traders who use algorithms to execute hundreds of trades in the time it takes to blink an eye. Although some...

This paper examines evidence on colocation dates and their impact on market efficiency. International colocation dates can be sourced from a number of avenues including: (1) an 'exchange's news announcements and reports, (2) news media, and (3) by direct communication with the officers of an...

The creative destruction wrought by high-frequency algorithmic tradinghas raised increasing concerns about the eect of machine learning behaviorsand ultra high-frequency trading in finnancial markets. By employing a geneticalgorithm with a classifer system as an adaptive learning tool, we...

We find that US cross-listing of Canadian stocks enhances domestic high-frequency trading (HFT) activity in the form of both opportunistic trading and market-making. First, US cross-listing boosts HFT low-latency cross-border arbitrage. This highly correlated HFT arbitrage activity across...