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Lessons from the past – Utilising historical data and technology to assess market volatility

The panel

  • Andy Chow, Customer Engineering Manager, Google Hong Kong
  • David Ng, Chief Operating Officer, CSOP Asset Management
  • Vinay Srinivas, Head of Asia-Pacific Equity Quant Team, UBS
  • Catalina Vazquez, Director, Historical Data Proposition, Refinitiv
  • Moderator: Blake Evans-Pritchard, Asia Bureau Chief, Risk.net

Financial services are increasingly looking at insights from historical data to improve their data-driven decision-making. From evaluating alternative datasets on the back of quantitative analysis and trading strategies, to risk management and compliance use cases, tick-history data sits at the heart of the business.

Whether you are working within the front or middle office, tick-history data will open new opportunities and remains a trustworthy and reliable resource for alpha-seeking quantitative analysis, identifying trading signals, backtesting trading strategies, transaction cost analysis, data science and compliance reporting activities, and more.

Accessing this dataset is key, and Refinitiv remains at the forefront by not only lifting and shifting its content to the cloud but also transforming its offering to reduce customer pain points.

Key topics discussed:

  • Opportunities and challenges historical data presents today
  • How new access mechanisms and innovative offerings can help overcome these issues and deliver faster results
  • How to access the full depth and breadth of tick-history data using Google Cloud Platform.
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