Mathematical algorithms for trading
New technologies and mathematical algorithms for trading advent of computerized trading have changed the landscape of financial markets in recent years. Algorithmic trading, automated trade execution and high frequency trading HFT at the millisecond time scale are now a prominent component of all major financial exchanges. Hailed by some as a source of market liquidity, algorithmic trading has been criticized by others as a source of market instability and volatility.
Yet the impact of algorithmic trading on mathematical algorithms for trading dynamics is yet to be fully understood: What are the implications for price behaviour, market regulation and financial stability? These questions have raised concerns for regulators, market participants and risk managers. Mathematical modelling, which has played a vital role in financial risk management and in the development of algorithmic trading, has a lot to contribute to this debate. This one day workshop sought to bring together perspectives from a range of experts -academics, regulators and practitioners on these important questions.
The aim of this one-day workshop was to disseminate the latest advances in quantitative modelling and empirical studies on the impact of HFT and algorithmic trading on markets, with an emphasis on emerging phenomena and implications for risk management and policy. Additionally, the mathematical algorithms for trading and mathematical algorithms for trading session highlighted potential strategies which could mitigate against mathematical algorithms for trading effects and risks of algorithmic trading in the future.
Topics of interest included:. The workshop took place at the Alan Turing Institute, London. The Institute is headquartered at the British Library. Please see the link for directions to the venue. International students Continuing education Executive and professional education Courses in education. Perspectives from Mathematical Modelling. Perspectives from Mathematical Modelling Programme.
Wednesday 1st March The Alan Turing Institute London. Background New technologies and the advent of computerized trading have changed the landscape of financial markets in recent years. Topics of interest included: Study at Cambridge Undergraduate Graduate International students Continuing education Executive and professional education Courses in education.
About research at Cambridge.
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Alpari is a member of The Financial Commission, an international organization engaged in the resolution of disputes within the financial services industry in the Forex market. Risk disclaimer: Before mathematical algorithms for trading, you should ensure that you fully understand the risks involved in leveraged trading and have the required experience.
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