Presenters: Gautam Mitra, Director, OptiRisk Systems and CARISMA (The Centre for the Analysis of Risk and Optimisation Modelling Applications, Brunel University); Peter Hafez & Malcolm Bain, RavenPack; Cristiano Arbex Valle, Keming Yu & Xiang Yu, CARISMA/ OptiRisk Systems; Giles-Arnaud Nzouankeu Nana, Fraunhofer ITWM; Jacob Sisk & Richard Brown, Thomson Reuters; Ashok Banerjee, Professor and Faculty-in-Charge, the Financial Research and Trading Laboratory, Indian Institute of Management Calcutta; Stan Uryasev, American Optimal Advisors and University of Florida.
News provides information about an event and, as such, may be considered to be an event in itself—news moves the market. The dynamics of the flow of information and market uncertainty impacts security price formation, price discovery, market participant behaviour such as price (over) reaction, price volatility and market stability. Traders and other market participants digest news rapidly and formulate their response based on this information.
This workshop shows participants how to understand and apply News Analytics to their own particular situation and explains the applied, analytical and quantitative techniques that are the topic of current research in this fast-emerging field.
The workshop is presented by researchers at CARISMA and OptiRisk, and their industrial sponsors Thomson Reuters and RavenPack. These researchers have carried out some of the leading-edge Investigation on the topic of News Analytics applied to trading, fund management and risk control. The CARISMA/OptiRisk team has recently compiled the Handbook of News Analytics in Finance and also developed the News Analytics Toolkit. The toolkit is also available to participants for a period of six months. Participants will have the opportunity to try out the tool under expert guidance.
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Day 1 - Session 1: The role of news and news data |
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Topics covered:-
- Sources of news data
- The methods and models by which news sentiment is measured and quantified
- Social media and other sources
- Combining news data with market data
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| 09.00 |
Registration and Coffee |
| 09.15 |
Introduction and Overview
Gautam Mitra, OptiRisk/CARISMA |
| 09.30 |
News Analytics in financial engineering: review and road map
- What...why...how of News Analytics
- Data Sources
- Information Contents/Metadata
- Summary Information/Views
- Information & modeling architectures
- Summary of Applications
Gautam Mitra, OptiRisk/CARISMA |
| 10.30 |
Coffee Break |
| 11.00 |
Structure and Nature of News Data
Richard Brown, Thomson Reuters |
| 12.00 |
Models which quantify News Sentiment
This presentation will focus on how to tease valuable information from news media. More specifically, we will focus on the key attributes that characterize a news analytics dataset including Entity Recognition, Relevance, Events, Novelty, and Sentiment.
Peter Hafez & Malcolm Bain, RavenPack |
| 13.00 |
Lunch |
Day 1, Session 2: News analytics and investment management |
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Topics covered:-
- Market sentiment and abnormal returns
- News analysis driven investment strategies
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| 14.00 |
Using A News Sentiment Index to Predict Market Returns: RavenPack Case Study 1
To capture the overall sentiment in the market, I construct a news sentiment index based on the RavenPack Event Sentiment Score (ESS). The index is constructed using a simple, intuitive, yet robust approach capturing the sentiment momentum on the US market. The index is found to be both statistically and economically significant in predicting future market returns.
Peter Hafez, RavenPack |
| 15.00 |
Impact of Information Arrival on the Volatility of Intraday Stock Returns
This empirical study considers the implication of information flow on the volatility of a particular stock using high frequency return and news data on Eurostoxx50.
Ashok Banerjee, Financial Research and Trading Laboratory, IIM Calcutta |
| 16.00 |
Tea Break |
| 16.20 |
Event Driven Trading and the New News: Thomson Reuters Case Study 1
The impact of aggregated news and news sentiment on US and international equities on the daily to monthly time scale is considered.
Intensity, novelty, extremity & polarity are critical aspects of news sentiment that drive asset price are identified. A new investor skill for the filtering of news sentiment and related meta-data is proposed. A simulation of a sentiment-only long/short equity strategy that shows alpha in excess of 10% a year is performed.
Richard Brown/Jacob Sisk, Thomson Reuters |
| 17.20 |
Summary
Gautam Mitra, OptiRisk/CARISMA |
| 17.30 |
Close |
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Day 2: Hands-on Session and Case Studies/News analytics applied to risk control |
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Topics Covered:
- Extracting and Filtering News Sentiment Data
- Consolidation with Market Data
- Creating Investment Models/Strategies
- News flow and volatility
- Models to detect impact of news on volatility
- Case study of an application
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| 09.00 |
Registration and Coffee |
| 09.30 |
Introduction to NAT – the News Analytics Toolkit
- Tool Functionalities
- Market Data, News Data: Data Fusion
- GUI and Visualisation
Gautam Mitra and Cristiano Arbex Valle, OptiRisk/CARISMA |
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News Enhanced Investment Models
- Momentum Indicators: RSI, ROC
- Simple Strategies: Momentum, Contrarian
- News Enhanced strategies: example results
Gautam Mitra and Cristiano Arbex Valle, OptiRisk/CARISMA |
| 10.30 |
Coffee Break |
| 11.00 |
News Analytics Liquidity and Trading Strategies
- News enhanced analytics
- Predicting Return, Volatility and Liquidity
- Trading strategies and investment strategies
Keming Yu, Xiang Yu and Gautam Mitra, OptiRisk/CARISMA |
| 11.45 |
Intra-day Asset Price Predictions from News Analytics and Sentiment : Thomson Reuters Case Study 2
We inspect Thomson Reuters News Analytics data as it relates to intra-day asset price changes across several markets and asset classes. We consider sentiment and price regimes, sector specific responses to news and develop a notion of high-frequency news sentiment surprise. Finally, we propose and analyze a family of forecasting models for determining short-term future returns, volatility and volume from news analytics meta-data.
Richard Brown/ Jacob Sisk, Thomson Reuters |
| 12.30 |
Lunch |
| 13.30 |
Event Trading Using Market Response: RavenPack Case Study 2
This presentation shows how a strategy trading off company-specific events such as analyst recommendations, executive-appointments, layoffs etc. can be enhanced by probing the market sentiment from previous investor reactions to similar events.
Peter Hafez, RavenPack |
| 14.30 |
Contrasting Strategies for Intraday Trading of STOXX50 Index : Applying News Sentiment vs AORDA Portfolios
RavenPack and Thomson Reuters are two major providers of Financial News Analytics. News Sentiment Data from these providers can be used to build investment strategies for trading individual stocks. This paper shows that by aggregating News Sentiment for individual stocks it is possible also to build profitable strategies for equity indices. We consider an intraday trading strategy for EURO STOXX50 Index: position in the Index is opened in the beginning of the trading day and it is closed on market closing the same day (no positions overnight). We benchmark the trading strategy based on News Sentiment with an AORDA strategy for STOXX50 which is based on Conditional Value-at-Risk optimization.
Stan Uryasev, American Optimal Advisors and University of Florida |
| 15.15 |
Tea Break |
| 15.30 |
Equity Portfolio Risk Estimation using Market Information and Sentiment
- Factor models for volatility
- Updated Factors with implied volatility
- News enhanced volatility estimation
Gautam Mitra, OptiRisk/CARISMA |
| 16.15 |
Ordinal-Response Stochastic Volatility Model: Application in News analytics
Giles-Arnaud Nzouankeu Nana, Fraunhofer ITWM |
| 17.00 |
Discussion and Closing Remarks |
| 17.15 |
Close |
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Industry Rate: 2 days £1025 + VAT
Thanks to our sponsors, there are a limited number of generous bursaries available for academics and research students so they can attend at reduced rates.
For more information regarding bursaries, please contact us on + 44 (0) 1895 819 488 or email info@optirisk-systems.com
Discounted rates for group bookings can be also arranged on request.
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