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Sentiment Analysis in Finance Conference - Singapore

Unicom

09 Mar 2016

Singapore

Details: click here

Register: click here

The participants in financial markets, namely, dealer/brokers, market makers, prop trading desks of investment banks, analysts in hedge funds and investment funds as well as retail traders, all enter the market to exploit it from different perspectives.

For the traders and fund managers the challenge is to transform [market] information into an increase in the value of their asset holdings, that is, capture the ever-elusive alpha. Where and how can the firms innovate to obtain such alpha?

Sentiment analysis is an emerging area where structured and unstructured data is analysed to generate useful insights leading to improved performance. Through text mining of news, microblogs, and online search results (Google, Wikipedia), massive amounts of data are distilled into information. This information is then used to construct actionable strategies for (i) trading, (ii) fund management and (iii) risk control. In this conference, thought leaders and subject matter experts from Europe, UK, USA and AsiaPac region (including India and China) present their findings, their knowledge and the current state of the art in this fast-emerging field of Sentiment Analysis Applied to Finance.

The programme focuses on the application of Sentiment Analysis to the respective models of trading, fund management and risk control. Market leaders and vendors of event driven contents and analytics, namely Thomson Reuters, RavenPack and Bloomberg, and their senior domain experts, present and explain their products and services in this area of sentiment analysis applied to finance.

Topic areas covered:

  • Foundations & Technologies of Sentiment Analysis for Finance
  • Multi-Dimensional Sentiment Analysis
  • News Sentiment and Stock Market Reactions
  • Exploiting Sentiment Analysis in Financial Markets

Who should attend?

The conference is aimed at the following groups:

  • Professionals in the FinTech sector
  • Quant teams from investment and hedge funds
  • High frequency traders
  • Prop trading desks of investment banks
  • Consumer/marketing analytics firms
  • Risk Managers
  • Risk Professionals

  • content
  • content

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