Howard Lindzon - Transcript
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Social Sentiment Indices Powered by X-Scores
Social Sentiment Indices powered by X-Scores Brian Davis∗, Keith Cortisy, Laurentiu Vasiliuz, Adamantios Koumpisy, Ross McDermott∗ and Siegfried Handschuhy ∗INSIGHT Centre for Data Analytics, NUI Galway, Ireland Email: [email protected] yUniversitat¨ Passau, Passau, Germany Email: [email protected] zPeracton, Dublin, Ireland Email: [email protected] Abstract—Social Sentiment Indices powered by X-Scores (SSIX) can be incorporated into current operating models as additional seeks to address the challenge of extracting relevant and valuable attributes for executing investment decision-making, with a economic signals in a cross-lingual fashion from the vast variety goal to increase alpha and manage risk for a portfolio. of and increasingly influential social media services; such as Twitter, Google+, Facebook, StockTwits and LinkedIn, and in The European research project Social Sentiment Indices 2 conjunction with the most reliable and authoritative newswires, powered by X-Scores (SSIX) , seeks to assist in this chal- online newspapers, financial news networks, trade publications lenge of incorporating relevant and valuable social media and blogs. A statistical framework of qualitative and quantitative sentiment data into investment decision making by enabling parameters called X-Scores will power SSIX. This framework X-Scores metrics and SSIX indices to act as valid indicators will interpret economically significant sentiment signals that that will help produce increased growth for European Small are disseminated in the social ecosystem. Using X-Scores, SSIX and Medium-sized Enterprises (SMEs). SSIX will extract will create commercially viable and exploitable social sentiment meaningful financial signals in a cross-lingual fashion from a indices, regardless of language, locale and data format. -
View December 2013 Report
MOBILE SMART FUNDAMENTALS MMA MEMBERS EDITION DECEMBER 2013 messaging . advertising . apps . mcommerce www.mmaglobal.com NEW YORK • LONDON • SINGAPORE • SÃO PAULO MOBILE MARKETING ASSOCIATION DECEMBER 2013 REPORT A Year of Transformation The new-year invariably kicks off with a slew of predictions, many of which are being usefully defined and shared by our global and regional board members, and many of which are likely to come to fruition or certainly build in momentum. The one area that we feel is certain to gain momentum and have a huge impact on how the mobile industry develops in 2014 is the number of brands that we will see moving from the sidelines and fully into the game. The impact of this will be seen both in the gains in mobile spend as brands move away from the 1% average that we’ve been seeing and start moving towards 10-15% mobile spend with increased ROIs as a result. We will also start to see how mobile is driving both innovation in marketing and transformation of business. As always, the MMA will be providing support and guidance for the entire industry, shining a light on inspiration, capability development, measurement and advocacy allowing all constituents to continue building their businesses, with mobile at its core. We look forward to supporting you and the industry. I wish you much success in 2014. Onwards, Greg Stuart INTRODUCTION 2 MOBILE MARKETING ASSOCIATION DECEMBER 2013 REPORT Table of Contents EXECUTIVE MOVES 4 PUBLIC COMPANY ANALYSIS 7 M&A TRANSACTIONS 9 FINANCING TRANSACTIONS 13 MMA OVERVIEW 25 HIDDEN RIVER OVERVIEW 26 Greg Stuart Todd Parker CEO, Mobile Marketing Association Managing Director, Hidden River [email protected] [email protected] MOBILE MARKETING ASSOCIATION DECEMBER 2013 REPORT Executives on the Move Name New Company Old Company New Company Summary Date T-Mobile is a mobile telephone operator headquartered in Gary King Chief Information Officer, T-Mobile Chief Information Officer, Chico's FAS 12/20/13 Bonn, Germany. -
Social Sentiment Indices Powered by X-Scores
ALLDATA 2016 : The Second International Conference on Big Data, Small Data, Linked Data and Open Data (includes KESA 2016) Social Sentiment Indices Powered by X-Scores Brian Davis∗, Keith Cortisy, Laurentiu Vasiliuz, Adamantios Koumpisy, Ross McDermott∗ and Siegfried Handschuhy ∗INSIGHT Centre for Data Analytics, NUI Galway, Ireland Email: [email protected] yUniversitat¨ Passau, Passau, Germany Email: [email protected] zPeracton, Dublin, Ireland Email: [email protected] Abstract—Social Sentiment Indices powered by X-Scores (SSIX) assist in this challenge of incorporating relevant and valuable seeks to address the challenge of extracting relevant and valuable social media sentiment data into investment decision making financial signals in a cross-lingual fashion from the vast variety by enabling X-Scores metrics and SSIX indices to act as of and increasingly influential social media services, such as valid indicators that will help produce increased growth for Twitter, Google+, Facebook, StockTwits and LinkedIn, and in European Small and Medium-sized Enterprises (SMEs). X- conjunction with the most reliable and authoritative newswires, Scores provide actionable analytics in the shape of unique online newspapers, financial news networks, trade publications and blogs. A statistical framework of qualitative and quantitative metrics calculated out of the Natural Language Processing parameters called X-Scores will power SSIX. This framework (NLP) output. SSIX will extract meaningful financial signals will interpret financially significant sentiment signals that are in a cross-lingual fashion from a multitude of social net- disseminated in the social ecosystem. Using X-Scores, SSIX work sources, such as Twitter, Google+, Facebook, StockTwits will create commercially viable and exploitable social sentiment and LinkedIn, and also authoritative news sources, such as indices, regardless of language, locale and data format. -
The Big Picture Three Years On, Can Collaboration Stop Another Financial Crisis?
banking technology www.bankingtech.com SEPTEMBER 2011 SEPTEMBER 2011 Risk: the big picture Three years on, can collaboration stop another financial crisis? Beyond the Fringe The Standards Forum and Innotribe events are stepping out of the shadow of Sibos. Interview: State Street in the cloud CIO Chris Perretta outlines how State Street plans to transform itself with cloud computing. Let's work together Post-trade interoperability efforts in clearing and settlement are coming to a head. Join the social club Why social media is all the rage in financial services at the moment. Contents September 2011 In this issue 22 34 27 18 4 news 27 Beyond the Fringe the Standards Forum and Innotribe strands of 8 news Analysis Swift’s annual Sibos gathering are starting to ■ Heather mcKenzie: cheque row highlights emerge from the shadow of the main conference banks’ rift with public and become year-round events in their own right. ■ banks could improve roe says Ibm 30 Roundtable: Moving beyond messages 12 By the numbers the ISO 20022 standard and XmL provide ■ Financial markets to spend $90 billion on It business benefits and opportunities beyond The best view ■ FSA pay rules will weaken UK banking sector mere standardisation according to a panel of With Wallstreet Cash Management you can sit back and see ■ iphone users most keen on mobile banking experienced practitioners brought together by ■ Hiring slowdown hits financial services in London Swift and Banking Technology. a real-time global view of all your cash positions. ■ Firms fail to focus on projects 34 Interview: Chris Perretta, state street 14 Cover Focus: Risk – the Big Picture State Street’s chief information officer explains three years after the collapse of Lehman brothers, why a wholesale adoption of cloud computing will what lessons have been learned and how has the lead to a transformation in the way the bank does relationship between risk and technology changed? business. -
SSIX Big Data Technologies and Methods for Leveraging Social Sentiment Data in Multiple Business Domains
February 2017 SSIX Big Data Technologies and Methods for Leveraging Social Sentiment Data in Multiple Business Domains Keith Cortis a, Waqas Khawaja b, Ross McDermott b, Laurentiu Vasiliu c, Adamantios Koumpis a, Siegfried Handschuh a and Brian Davis b a Universitat¨ Passau, Passau, Germany b INSIGHT Centre for Data Analytics, NUI Galway, Ireland c Peracton, Dublin, Ireland Abstract. Social Sentiment Indices powered by X-Scores (SSIX) aims to provide European SMEs with a collection of easy to interpret tools to analyse and under- stand social media users’ attitudes for any given topic. These sentiment character- istics can be exploited to help SMEs operate more efficiently resulting in increased revenues. Social media data represents a combined measure of thoughts and views touching every area of life. SSIX will search and index conversations taking place on social network services, such as Twitter, StockTwits and Facebook, together with the most reliable and trustworthy news agencies, newspapers, blogs and in- dustry publications. A statistical framework of qualitative and quantitative param- eters called X-Scores will power SSIX. Classification and scoring of content will be done using this framework, regardless of language, locale or data architecture. The X-Scores framework will interpret economically significant sentiment signals in social media conversations producing sentiment metrics, such as momentum, breadth, topic frequency, volatility and historical comparison. These metrics will create commercially viable social sentiment indexes, which can be tailored to any domain of interest. By enabling European SMEs to analyse and leverage social sen- timent in their discipline, SSIX will facilitate the creation of innovative products and services by enhancing the investment decision making process, thus assisting in generating increased revenue while also minimising risk exposure. -
1 Why Pay Attention to Stock Message Boards? 2 a Variety of Stock
Notes 1 Why Pay Attention to Stock Message Boards? 1. The term quality of life (QOL) references the general well-being of individu- als and societies. 2. www.stocktwits.com 3. http://www.empathica.com/retail2012 4. http://www.accenture.com/us-en/Pages/insight-shopper-preferences.aspx 5. For stocks priced under $1, add 0.5 percent of the principal value to the $7 commission. 6. http://www.sec.gov/News/PressRelease/Detail/PressRelease/1365171513574. Regulation Fair Disclosure is a regulation that was promulgated by the SEC in August 2000. The rule mandates that all publicly traded companies must disclose material information to all investors at the same time. 7. http://www.sec.gov/news/press/2000-135.txt 8. http://www.ftc.gov/opa/2007/06/wholefoods.shtm 9. Penny stocks are usually unlisted, highly speculative, and usually selling for a dollar or less. 10. Asset liquidity refers to how quickly an asset can be converted into cash without a significant loss in value. 11. For the definition of short selling, please visit http://www.sec.gov/answers/ shortsale.htm. Not all the stocks can be shorted. In order to sell the stock short, you must have margin privileges on your brokerage account. Your broker must have available shares to lend to you. You cannot sell short a stock which is under $5. At any time, you must maintain enough capital in your account to place a buy to cover order on your short position to return shares you borrowed to your broker. 2 A Variety of Stock Message Boards 1. -
Aggregate Attention∗
Aggregate attention Paul J. Irvine Neeley School of Business Texas Christian University June, 2021 Abstract We study some of the aggregate properties of investor attention to the stock mar- ket. We introduce a framework that constructs a null hypothesis of what rational aggregate attention should look like. This framework states that aggregate attention should be proportional to the aggregate wealth invested in each stock. We find that the distribution of attention at first appears rational. However, much of this attention is directed away from the high market cap names that should attract the most attention. Attention is notably more volatile from month to month than market cap, making attention unpredictable from a market maker perspective This pattern generates pric- ing errors that result in the most popular stocks performing poorly in the upcoming month. This poor performance appears to be a short-term reversal of pricing errors generated by the unpredictable liquidity demands volatile attention can generate. All errors are our own. Preliminary and incomplete. Thanks to David Rakowski, Joey Engelberg, Siyi Shen, and seminar participants at the University of South Carolina. Corresponding author: [email protected]. Aggregate Attention Abstract We study some of the aggregate properties of investor attention to the stock market. We introduce a framework that constructs a null hypothesis of what rational aggregate attention should look like. This framework states that aggregate attention should be proportional to the aggregate wealth invested in each stock. We find that the distribution of attention at first appears rational. However, much of this attention is directed away from the high market cap names that should attract the most attention. -
Thinktwenty20 Winter 2020 the Magazine for Financial Professionals
Issue No.7 ThinkTWENTY20 Winter 2020 The Magazine for Financial Professionals Automated Audits - Distinguishing Myth From Reality How Social Media Became the Go-To Communication Channels Social Media - The New Reporting Frontier The Surprising Power of Experimentation Twenty-Twenty Vision Number 7, Winter 2020 Editor in Chief: Gerald Trites Managing Editor: Gundi Jeffrey Contributing Editor: Eric E Cohen Email: [email protected] Telephone: (416) 602-3931 Subscription rate, digital edition: $29.95 per year, $44.95 for two years. Individual digital issues: $9.95. To subscribe or buy an issue, go to our online store at https://thinktwenty20-magazine.myshopify.com. ISSN 2563-0113 Cover Photo by Ekaterina Bolovtsova from Pexels Submissions for the magazine are invited from people with an in-depth knowledge of accounting or finance. Submissions can be made by email attachment to [email protected]. Articles should be in Microsoft Word in 1 2 pt Calibri Font. They should be 2000 to 3000 words and be well researched as evidenced by the inclusion of references, which should be numbered and included at the end of the article. Bibliographies are also encouraged. Academic papers with extensive mathematical analyses will not be accepted. We ask for first publication rights, after which copyright returns to the author. Founding Partner TABLE OF CONTENTS Editorial……………………………………………………………………………………………………………………...P. 1 Distinguishing Hype from Reality about the Future of Automated Audits..…P. 3 By Gregory P. Shields, CPA, CA Auditors have been put on notice: artificial intelligence (AI) is here and it’s here to stay. The possibility of AI-enabled machines replacing human auditors is creating some angst. -
Predicting Mental Health from Followed Accounts Predicting Ment
Predicting Mental Health from Followed Accounts 1 Running Head: Predicting Mental Health from Followed Accounts Predicting Mental Health from Followed Accounts on Twitter Cory K. Costello, Sanjay Srivastava, Reza Rejaie, & Maureen Zalewski University of Oregon Author note: Cory K. Costello, Sanjay Srivastava, and Maureen Zalewski, University of Oregon, Department of Psychology, 1227 University of Oregon, Eugene, OR, 97403. Reza Rejaie, University of Oregon, Department of Computer and Information Science, 1202 University of Oregon, Eugene, OR, 97403. Correspondence concerning this article should be addressed to Cory K. Costello, who is now at the Department of Psychology, University of Michigan, 530 Church Street, University of Michigan, Ann Arbor, MI 48109, email: [email protected] Study materials, analysis code, and registrations (including pre-registered Stage 1 protocol) can be found at the project site: https://osf.io/54qdm/ This material is based on work supported by the National Institute of Mental Health under Grant # 1 R21 MH106879-01 and the National Science Foundation under NSF GRANT# 1551817. Predicting Mental Health from Followed Accounts 2 Abstract The past decade has seen rapid growth in research linking stable psychological characteristics (i.e., traits) to digital records of online behavior in Online Social Networks (OSNs) like Facebook and Twitter, which has implications for basic and applied behavioral sciences. Findings indicate that a broad range of psychological characteristics can be predicted from various behavioral residue online, including language used in posts on Facebook (Park et al., 2015) and Twitter (Reece et al., 2017), and which pages a person ‘likes’ on Facebook (e.g., Kosinski, Stillwell, & Graepel, 2013). -
By Howard Lindzon Hey, Howard, What’S All This ‘Peloton’ Stuff?” “ I Get That All the Time
By Howard Lindzon Hey, Howard, what’s all this ‘peloton’ stuff?” “ I get that all the time. “Peloton” is a professional cycling term. I’m a huge fan of cycling, as a spectator sport, sure, but more so, absolutely, as a form of meditation. I like to ride and think. But the peloton does fascinate me. It’s the main group, the integrated unit of racers who combine like birds flying in formation. They share resistance to wind. They change shape according to wind patterns. They shift leadership to balance fatigue load. And, after all that, they travel 40% faster than any single rider can on their own. It’s a beautiful metaphor. It’s a particularly beautiful metaphor for the way I like to invest. For me it’s all about momentum, trend-following, and sharing ideas. For all I’ve benefitted from the many, many smart people who’ve shared with me, Peloton – first and foremost – is my opportunity to share with you. Indeed, a major part of my role as an angel investor is to mentor younger founders of promising companies. If you’re managing your own money, you’re an entrepreneur too. So, with Peloton, I want to share with everyday investors, young and old, all the market knowledge and experience earned over a 26-year career as an entrepreneur, an angel investor, a private equity partner, a hedge fund manager, and a trader. It’s the right network, with the right insights, offering the right advice. A New Way to Make Money “Wall Street” has changed. -
Mobile Smart Fundamentals Mma Members Edition January 2014
MOBILE SMART FUNDAMENTALS MMA MEMBERS EDITION JANUARY 2014 messaging . advertising . apps . mcommerce www.mmaglobal.com NEW YORK • LONDON • SINGAPORE • SÃO PAULO MOBILE MARKETING ASSOCIATION JANUARY 2014 REPORT CMO as Chief Innovator As the MMA continues to help CMO’s build their team’s mobile marketing capabilities, we’ve been thinking about how this in turn contributes to a shift that has been happening in many quiet corners for some time. In 2013 however, CMO’s such as Walmart’s Stephen Quinn started to talk directly about the need for CMO’s to be the ones to make innovation happen within their own organizations. Given mobile’s power to transform marketing, the MMA will continue to make innovation a key focus of all our programs in 2014, not least of which, will be our Mobile CEO & CMO Summit, running July 13-15, 2014 at Hilton Head in South Carolina. Gathering the industries leaders each year at this event has become an essential part of our calendar. It not only serves as a unique opportunity for this busy group to be in the same place at the same time, but given the insights and experience of those in attendance, also allows us to truly focus the conversation on transformation. This, once again, will be front and center at this year’s meeting. It’s a unique opportunity to be in business today and be confronted with something that will and is already having, such a dramatic effect on the status quo. I look forward to supporting you, your business and all our members as we navigate these changes ahead. -
Three Essays in Financial Economics
THREE ESSAYS IN FINANCIAL ECONOMICS A Dissertation Presented to the Faculty of the Graduate School of Cornell University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy by Alan Paul Kwan May 2017 Copyright c 2017 Alan Paul Kwan ALL RIGHTS RESERVED THREE ESSAYS IN FINANCIAL ECONOMICS Alan Paul Kwan, PhD Cornell University 2017 This dissertation explores three different perspectives on frictions that impact the functioning of financial markets. My first and third essay explore information economics in financial mar- kets. My second essay studies the role of regulatory scope and how financial regulation should be implemented. In Chapter 1, “Does Social Media Cause Excess Comovement?”, I study social media’s potential to impact financial markets. When information is costly to produce, information intermediaries specialize in some stocks, creating flows of information and trading among such stocks. Trading by customers results in “excess”, seemingly non-fundamental comovement. Consistent with this theory, I find that co-mentioning of stocks explains increases in comovement. Three different empirical designs point toward a causal interpretation. In Chapter 2 (joint with Chicago Booth PhD students Ben Charoenwong and Tarik Umar), “Who Should Regulate Investment Advisors?”, we study whether national or local regulators best de- ter investment adviser misconduct. Dodd-Frank provides us a laboratory to observe a large re- jurisdiction event in which state regulators below an arbitrary threshold were delegated to state regulation. Consistent with weakened regulation, customer complaint rates increase. The com- plaints represent more severe, not more frivolous reporting. Finally, they precipitate for firms and adviser representatives it might be assumed under the weakest oversight, such as those further from regulators.