Being equipped with a unique high-frequency dataset that enablesus to precisely identify algorithmic trading (i.e. computergenerated)activity, we provide strong evidence that algorithmictrading does not exceedingly increases volatility, at least not morethan human traders do. Our empirical analyses cover severalpotential reasons why algorithmic trading could increasevolatility. For example, we address whether or not algorithmictraders follow less diverse trading strategies than humans.Moreover, we investigate whether or not algorithmic traderswithdraw liquidity from the market during periods of highvolatility
Algorithmic trading is one of the most phenomenal changes in the financial industry in the past dec...
Algorithmic trading has reshaped equity markets and had significant effects on market performance. W...
This paper proposes the Shannon entropy as an appropriate one-dimensional measure of behavioural tra...
We use a large sample from 2001 – 2009 that incorporates 39 exchanges and an average of 12,800 diffe...
Algorithmic trading has sharply increased over the past decade. Equity market liquidity has improved...
After exchanges and alternative trading venues have introduced electronic execution mechanisms world...
After exchanges and alternative trading venues have introduced electronic execution mechanisms world...
Thesis (M.M. (Finance & Investment))--University of the Witwatersrand, Faculty of Commerce, Law and ...
The research at hand aims to define effectiveness of algorithmic trading, comparing with different b...
In this work we simulate algorithmic trading (AT) in asset markets to clarify its impact. Our market...
This study explores the impact of algorithmic trading (AT) on liquidity in Thailand, as it affects b...
In this work we simulate algorithmic trading (AT) in asset markets to clarify its impact. Our market...
Innovative automated execution strategies like Algorithmic Trading gain significant market share on ...
Innovative automated execution strategies like Algorithmic Trading gain significant market share on ...
The causal impact of algorithmic trading on market quality has been difficult to establish due to en...
Algorithmic trading is one of the most phenomenal changes in the financial industry in the past dec...
Algorithmic trading has reshaped equity markets and had significant effects on market performance. W...
This paper proposes the Shannon entropy as an appropriate one-dimensional measure of behavioural tra...
We use a large sample from 2001 – 2009 that incorporates 39 exchanges and an average of 12,800 diffe...
Algorithmic trading has sharply increased over the past decade. Equity market liquidity has improved...
After exchanges and alternative trading venues have introduced electronic execution mechanisms world...
After exchanges and alternative trading venues have introduced electronic execution mechanisms world...
Thesis (M.M. (Finance & Investment))--University of the Witwatersrand, Faculty of Commerce, Law and ...
The research at hand aims to define effectiveness of algorithmic trading, comparing with different b...
In this work we simulate algorithmic trading (AT) in asset markets to clarify its impact. Our market...
This study explores the impact of algorithmic trading (AT) on liquidity in Thailand, as it affects b...
In this work we simulate algorithmic trading (AT) in asset markets to clarify its impact. Our market...
Innovative automated execution strategies like Algorithmic Trading gain significant market share on ...
Innovative automated execution strategies like Algorithmic Trading gain significant market share on ...
The causal impact of algorithmic trading on market quality has been difficult to establish due to en...
Algorithmic trading is one of the most phenomenal changes in the financial industry in the past dec...
Algorithmic trading has reshaped equity markets and had significant effects on market performance. W...
This paper proposes the Shannon entropy as an appropriate one-dimensional measure of behavioural tra...