Contact Us Free Trial RavenPack Products Use Cases Insights Company Blog PRESENTATION MATERIALS: RESHAPING FINANCE WITH ALTERNATIVE DATA You will find below this short event highlights video the recordings and access to the slides of all sessions from the RavenPack 4th Annual Research Symposium held at the Westin Hotel at Times Square, on June 16th 2016. Select the slides you are most interested in and we will respond to your request by e-mail. Reshaping Finance with Alternative Data June 16, 2016, 10 a.m. - 5 p.m. - 4th Annual RavenPack Research Symposium, New York June 16, 2016 10 a.m. Introduction: Reshaping Finance with Alternative Data Armando Gonzalez - CEO - RavenPack - June 16, 2016, 10 a.m. Armando gives an overview of the event and discusses how alternative data sets can reshape finance. Access the slides > 1.8 MB Access Materials 10:15 a.m. Machine Learning, News Analytics, and Stock Selection Yin Luo - Managing Director, Global Head of Quantitative Str - Deutsche Bank - June 16, 2016, 10:15 a.m. Big data and machine learning have generated tremendous interest in empirical finance research. In this presentation,Yin examines a unique news analytics database provided by Ravenpack. He applies a suite of innovative machine learning algorithms, including adaBoost, spline regression, and other boosting/bagging techniques on both traditional and unstructured news data in predicting stock returns. He finds news sentiment data adds significant incremental predictive power to his machine learning based global stock selection models. Access the slides > 3.5 MB Access Materials 11 a.m. News, Networks, and the Incorporation of New Information into Price Ned Smith - Associate Professor of Management & Organizations - Northwestern Univ. Kellogg School of Management - June 16, 2016, 11 a.m. Firms become implicitly “connected” to other firms when they share common owners and investors are “connected” to other investors when they share common investments. In this talk Ned explores what the resulting structural characteristics of such “ownership networks” mean for the functioning of modern financial markets. Specifically, he draws upon the wisdom of crowds concept to analyze how a firm’s position in the “ownership network” directly influences the way in which new information about the firm is incorporated into the price of its equity. Access the slides > 8.5 MB Access Materials 11:30 a.m. Exploiting Alternative Data in the Investment Process Peter Hafez - Chief Data Scientist - RavenPack - June 16, 2016, 11:30 a.m. The emergence of big data in finance has shifted the alpha focus away from being faster to being smarter than the competition. Access to alternative data sources is considered a key input to such process. Peter Hafez provides an overview of RavenPack’s Big Data Analytics and the future development of the RavenPack product suite. In addition, he presents on his latest work on thematic alpha streams as well as providing an overview of general use cases of RavenPack data across various trading and investment applications. Access the slides > 2.5 MB Access Materials 1 p.m. Panel Discussion: Artificial Intelligence: Will It Deliver On Its Promise for Finance? Panel Discussion - June 16, 2016, 1 p.m. Artificial Intelligence (AI) has experienced hype cycles over the last half a century with resulting winters of disillusionment. However, several things have changed, including the cost of computing has declined dramatically and the power of computing has improved exponentially, making AI applications, more practical. The explosion of data is so vast and overwhelming that it has become impossible to understand it without automated support. AI appears to be entering a new phase where interest is surging again, particularly in finance. This panel brings together key actors to debate whether the latest surge of AI applications will fall short again or will they this time truly transform the financial services industry? Moderator: Garrett Nenner, Lead Project Manager / Business Analyst - E-Trading, Cash & Trading Technologies - Gravitas Technologies Speakers: - Rahul Jaising, Director, Head of Quantitative Prime Services, Americas, Barclays Capital - Gordon Ritter, Senior Portfolio Manager, GSA Capital - Stuart Farr, President, Deltix Access Materials 2 p.m. News Sentiment Analysis and Stock Selection Strategies Gordon Ritter - Senior Portfolio Manager - GSA Capital - June 16, 2016, 2 p.m. Lakonishok and Lee (2001) examine whether company insiders earn abnormal returns from their purchasing activity. Similarly Ikenberry, Lakonishok, and Vermielen (1995) investigate whether companies that announce open market share repurchase programs earn abnormal returns in subsequent years. It makes sense to view both kinds of activity in a unified way, as both are indicative of positive sentiment by agents (such as corporate directors) who have a clear informational advantage over other market participants. In this presentation, Gordon re-examines this classic anomaly in a modern context, by utilizing a real-time news feed from Ravenpack to identify insider transactions and open-market share repurchase programs. He discusses how to recast “insider sentiment news” as a factor in a multifactor model in the style of Ross’ APT, and go on to study the associated Markowitz portfolios. Access the slides > 0.3 MB Access Materials 2:30 p.m. Introduction to Transactional Data from Online and Offline Purchases Anita Absey - SVP - General Manager Consumer Insight - Return Path - June 16, 2016, 2:30 p.m. Anita briefly describes Return Path alternative data set. Access the slides > 0.9 MB Access Materials 2:55 p.m. The Future of Investing in the Data Economy Michael Beal - CEO - Data Capital Management - June 16, 2016, 2:55 p.m. Michael describes what is the Data Economy and what challenges it creates for investors. He also details his vision for the future of investing in the data economy, and highlights lessons from the industrial revolution that can apply to finance today. Access the slides > 2.0 MB Access Materials 3:25 p.m. Creating and Using Information through Predictive Analytics in Finance Graham Giller - Office of Chief Data Science Officer - J.P. Morgan - June 16, 2016, 3:25 p.m. A review of key issues in performing predictive analytics on data in a financial context. Predictive analytics is defined in terms of extracting information about future conditional distributions of data, and the importance of a leverageable information advantage is discussed including the measurement of value with respect to benchmarks and the importance of properly modelling causality. Differences between financial market contexts and retail contexts in terms of the nature of the analysis and the nature of the data is examined, including non-normality, heteroskedasticity, the large degree of correlation found within the data and the existence of power-laws and genuine outliers. Graham ends by reviewing the actual differences in what we can and should do with data that are the consequences of commodity storage and commodity computation in the big data era. Access the slides > 0.6 MB Access Materials 3:55 p.m. Panel Discussion: Disrupting Finance: The Impact of Alternative Data in Financial Markets Panel Discussion - June 16, 2016, 3:55 p.m. Innovations in big data analysis, both from within and beyond the financial community, are unleashing a wave of change that promises to transform every aspect of financial services. To compete, financial institutions need to move quickly and decisively to adopt new sources of data and possibly change their investment models -- or risk falling behind savvy “high tech” investors. What are these new alternative data sources? What are the opportunities and risks in incorporating alternative data into investor models, and do the benefits outweigh the costs? The panelists describe how using alternative data sets for investing and trading differs from previous approaches utilizing traditional data. Moderator: Armando Gonzalez, CEO, RavenPack Speakers: - Matt Ober, Co-Head of Data Strategy, WorldQuant - Leigh Drogen, Founder and CEO, Estimize - Eric Weinberg, President of Field Operations, Return Path - Yin Luo, Managing Director, Global Head of Quantitative Strategy, Deutsche Bank Access Materials Research Call PRODUCTS RavenPack Analytics USES CASES Asset Management Brokerage & Market-Making Risk & Compliance Research Software / Data Vendor Media OTHER INSIGHTS White papers Data Samples Blog Connect With Us Interact With Us Follow Our Comments Watch Video Materials Read Our Blog Find us on Bloomberg PRODUCTS USE CASES Asset Management Brokerage & Market Making Risk & Compliance Research Software / Data vendor Media INSIGHTS White Papers Events Data Samples Blog COMPANY Management Technology Partners News & Events Careers Contact Us CONTACT Americas +1 (646) 277 7339 EMEA-APAC +44 (0)20 3290 7395 info@ravenpack.com Copyright © 2016 - RavenPack International S.L. 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