Thought Leadership Webinar: This webinar discusses regulations across the globe around electronic/algorithmic risk management along with relevant case studies. Enumeration of various risks pertaining to algorithmic trading with framework to manage and mitigate risks.

Paul Krugman akins High Frequency Trading  (HFT) practices with the proliferation of complex derivatives products during the Financial Crisis in 2014 in NY Times editorial. “Flash Boys,” a best-seller book by Michael Lewis, has belligerent views on HFT practices engulfing the trading ecosystem worldwide. Yet, as per FT estimates, quant and high frequency traders account for over half of all US equity trading. Some believe the number could be as high as eighty percent in developed markets. The 2010 Flash crash and $460 million gaffe by Knight Capital adds to the opprobrium of algo trading. Reg AT, by US CFTC, and SS5/18 by Bank of England are examples where regulators across the globe are trying to reign in the Brobdingnagian monster of Algo trading.

Management of algorithmic trading risk requires a different set of frameworks and our atypical frameworks for managing market risk fails to address the quagmire. In this webinar, we will talk about various case studies, regulations, and risks which need to be addressed in algorithmic trading.

Key takeaways:

• Understanding the case studies in detail – 2010 Flash Crash and Knight Capital
• Discussion of few regulations around algorithmic trading
• Decoding the risk around algorithmic trading
• Simple framework to address the risks in algo trading
  
  

About Our Expert
		Piyush Chamria is Chief Risk Officer for Treasury Business Group, Edelweiss Financial Services, India. He has more than 11 years of experience in the risk management domain. Prior to Edelweiss, he was working as a risk management consultant with KPMG, India. He has worked with MNC banks in the UK, Europe, GCC region, and India on Basel implementation and risk analytics projects. At Edelweiss, he manages multi-asset, multi-geography trading desk – and looks after trade execution/algo risk, financial risk, and operational risk.

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