Financial markets have undergone a dramatic technological transformation. Electronic and centralized limit order books dominate the organized securities exchange landscape. Banks and fund companies have invested in trading technology to improve their trade generation and monitoring processes. The automation of these processes is typically called Algorithmic Trading. This work presents one of the first studies of algorithmic trading and its impact on information and liquidity in equity markets
This master’s thesis was born because of the interests of the author in Big Data, Machine Learning a...
Being equipped with a unique high-frequency dataset that enablesus to precisely identify algorithmic...
All across the investment banking industry there is a buzz with talk of algorithmic trading. Algorit...
At today\u27s stock markets, most of the trading volume is traded electronically. Thus, also ...
More than 70% of today's stocks trade volume is attributable to automatic order execution by trading...
We examine algorithmic trades (AT) and their role in the price discovery process in the 30 DAX stock...
Innovative automated execution strategies like Algorithmic Trading gain significant market share on ...
Algorithmic trading is one of the most phenomenal changes in the financial industry in the past dec...
Today's trading landscape is a fragmented and complex system of interconnected electronic markets in...
After exchanges and alternative trading venues have introduced electronic execution mechanisms world...
The PhD dissertation research topics aim at developing algorithmic trading strategies and demonstrat...
Algorithmic trading has sharply increased over the past decade. Equity market liquidity has improved...
Financial markets and the pace of trading have changed dramatically over the last decade. Stock exch...
The aim of the article is to investigate the impact of algorithmic trading on the returns obtained i...
Traders utilize strategies by using a mix of market and limit orders to generate profits. There are ...
This master’s thesis was born because of the interests of the author in Big Data, Machine Learning a...
Being equipped with a unique high-frequency dataset that enablesus to precisely identify algorithmic...
All across the investment banking industry there is a buzz with talk of algorithmic trading. Algorit...
At today\u27s stock markets, most of the trading volume is traded electronically. Thus, also ...
More than 70% of today's stocks trade volume is attributable to automatic order execution by trading...
We examine algorithmic trades (AT) and their role in the price discovery process in the 30 DAX stock...
Innovative automated execution strategies like Algorithmic Trading gain significant market share on ...
Algorithmic trading is one of the most phenomenal changes in the financial industry in the past dec...
Today's trading landscape is a fragmented and complex system of interconnected electronic markets in...
After exchanges and alternative trading venues have introduced electronic execution mechanisms world...
The PhD dissertation research topics aim at developing algorithmic trading strategies and demonstrat...
Algorithmic trading has sharply increased over the past decade. Equity market liquidity has improved...
Financial markets and the pace of trading have changed dramatically over the last decade. Stock exch...
The aim of the article is to investigate the impact of algorithmic trading on the returns obtained i...
Traders utilize strategies by using a mix of market and limit orders to generate profits. There are ...
This master’s thesis was born because of the interests of the author in Big Data, Machine Learning a...
Being equipped with a unique high-frequency dataset that enablesus to precisely identify algorithmic...
All across the investment banking industry there is a buzz with talk of algorithmic trading. Algorit...