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errors, both on average and on the highest volatility days. This is done through their liquidity demanding orders. In … contrast, HFTs' liquidity supplying orders are adversely selected. The direction of buying and selling by HFTs predicts price …
Persistent link: https://www.econbiz.de/10013092413
Algorithms enable investors to locate trading opportunities, which raises gains from trade. Algorithmic traders can also process information on stock values before slow traders, which generates adverse selection. We model trading in this context and show that, for a given level of algorithmic...
Persistent link: https://www.econbiz.de/10013093481
order flows, and exploits his speed advantage to optimize his quoting policy. We determine the provision of liquidity, order … volatility. The model predicts that volatility leads high frequency traders to reduce their provision of liquidity. Finally, we …
Persistent link: https://www.econbiz.de/10013074299
through their liquidity demanding orders. In contrast, HFTs' liquidity supplying orders are adversely selected. The direction …
Persistent link: https://www.econbiz.de/10013074385
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The advances in trading technologies and networking infrastructures combined with the globalisation and competitive environment of the financial markets has increased the complexity and dynamics of markets making them difficult to understand and has raised a number of issues in relation to the...
Persistent link: https://www.econbiz.de/10013097715
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This book examines the complexity of trading and the creation of liquidity. Titled after the Baruch College Financial … following questions are analyzed: What are the liquidity strategies for pricing and interacting? Is liquidity any more available …
Persistent link: https://www.econbiz.de/10012265892