Complimentary Webinar:
News Analytics – Using a Language Recognition Algorithm to Analyse News Flow
Date: 02 April 2014, Wednesday
Time: 1.30PM – 2.15PM GMT
Presenter: Marco Dion, JP Morgan
The webinar is in association with a related conference taking place on 18 – 19 June in London:
"4th Annual Conference: Behavioural Models & Sentiment Analysis Applied to Finance"
http://conferences.unicom.co.uk/sentiment-analysis/
The Webinar Abstract:
• Company News flow has an undeniable impact on stock prices
• Depending on how positive or negative the news item, it can even represent the most important element defining a stock’s annual performance.
• News items are fundamental and qualitative in nature, consequently academics and Quant houses have up to recently (i.e. pre 2007) struggled to investigate news flow from a systematic perspective.
• Thomson Reuters has however developed a language recognition algorithm that quantifies news items and informs investors of how relevant and how positive or negative the content truly is. This therefore allows for a quantified analysis of news flow and presents a new way to approach the news topic.
• In our paper, we have used the Thomson Reuters – News Analytics data to test various ideas and try to figure out if news flow can be used for longer-term investment (daily, weekly and monthly) by Quant Managers to generate alpha or manage risk.
• While a lot of our initial (and naïve) testing failed due to the fast decay of news items, we did find various methodologies that provided an efficient use of the data and turned news flow signals into alpha sources.
• We believe that the strategies we have developed could be implemented by Quant managers and help improve the overall performance of their investment process.
• Amongst the numerous tests conducted, the key results are those strategies based on various holding periods (short-term and medium term), on news momentum, news signals for turn-around companies, conditioning of signals for short-sellers, sector allocators and on ways to improve the overall efficiency of Quant Factor Models.
Speaker Profile:
Marco Dion has recently been named Head of the Central Risk Book trading desk at JP Morgan. Prior to that, Marco spent 7 years in the research department of JP Morgan as Global Head of the Quant Strategy team. Marco and the 12 member-team have been ranked best Quant research teams across the globe by investors in numerous surveys since 2008.
Registration link for the webinar: https://www4.gotomeeting.com/register/564050007
I hope you are able to join the webinar.
Please don’t hesitate to call on 01895 256 484 or email [log in to unmask] to request a booking form or reserve delegate places in the conference – discounted rates are available on group bookings of Sentiment Analysis conference.
Kind regards,
Aqeela Rahman
UNICOM Seminars Ltd
OptiRisk R&D House | One Oxford Road | Uxbridge | UB9 4DA
Tel: +44 (0)1895 819 478 | Fax: +44 (0)1895 813 095
Email: [log in to unmask] | URL: www.unicom.co.uk Twitter: @UNICOMSeminars
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