The Evolution of Social Finance
This presentation looks at the evolution of the social finance space, the different incentive structures, identity structures, structured vs. unstructured data, and closed vs. open systems utilized on different platforms. As we continue to develop the Estimize platform, we've gain a great understanding for some of the important questions around these structures and how to best leverage them in providing valuable data to the market as well as value to our contributors. The companies discussed in this presentation are not necessarily an exhaustive list of social finance platforms, they are meant to denote certain evolutions or important steps along the development process of the ecosystem as well as for the purpose of being juxtapose to display different structures. This slide deck was used as part of a presentation on March 14th, 2013.
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The Evolution of Social Finance
- 1. The Evolution of Social Finance Incentives, identity, open vs. closed systems, structured and unstructured data
- 2. In the old days, information would flow through the pit In the old days information would flow through the pit
- 3. Then everyone went upstairs.... Then everyone went upstairs....
- 4. ....to sit behind their computers ...to sit behind their computers
- 7. Yahoo Finance Message Boards
- 8. Blogs Blogs
- 9. Motley Fool Caps Motley Fool Caps
- 11. SumZero SumZero
- 12. Twitter Twitter
- 15. 2,400+ buy side and independent analysts 2,400 buy side and independent analysts
- 16. Estimize data used for front end analytics and front end analytics Black box trading and algorithmic trading
- 17. Marbles in a jar and needles in the haystack Marbles in a jar / Needles in the haystack
- 18. Agnostic towards identities Agnostic towards identities
- 19. Slicing and dicing based on corpus Slicing and dicing based on corpus
- 20. Layers of data Layers of data
- 21. Sort and Filter Sort and filter
- 22. Save filters, get alerted Save filters, get alerted
- 23. Select Consensus (weighted average) Select consensus (weighted average)
- 28. Q1 2013 stats
- 29. Incentives Why do we share and what are the incentive structures that drive social finance?
- 30. Ego
- 31. Feedback
- 32. The system
- 33. Build reputation and career
- 34. Measure up
- 35. Talk your book
- 36. Gain access
- 38. Identity From complete anonymity to full transparency, how and when does identity matter?
- 39. Fully Real name, structured bio Transparent Real name Real name Username, structured bio Username, structured bio Username Username Username Completely Username Anonymous
- 40. Open vs. closed systems Structuring access to read and publish, curation, and exclusivity.
- 41. Closed Invite only to contribute Give to get, buy side only to contribute and read Invite only to contribute, anyone comments, little curation Reliability algo, manual curation Algo and manual filtering Costs $2,200/month Free-for-all Free-for-all Open Free-for-all
- 42. Structured and unstructured data Inputs, outputs, and uses of content and data.
- 43. Unstructured Text 140 characters Text, post tagged with tickers Text, post tagged with tickers Text, posted on ticker board 140 characters, tickers, bullish/bearish, chart, video Text, price target, expected return, writeup quality, tickers Outperform/underperform, time frame, ticker, limits, text EPS estimate, revenue estimate, Structured quarter, ticker, text
- 44. The social finance gravity well
- 45. Leigh Drogen Founder and CEO Leigh@estimize.com (914) - 582 - 1295 WeWork Labs, 175 Varick Street 4th Floor New York, NY 10014