Silicon Valley Bank Data Project

In January 2011, two representatives Silicon Valley Bank gave a presentation at the Haas business school, organized by Jerry Engel of the Lester Center for Entrepreneurship and Innovation. The purpose of this presentation was to explore the possibility of having Haas PhD students and faculty conduct research with the SVB's data. This page details findings from that meeting and the follow-up on-site meeting between SVB and Haas's representative, Ed Egan.

The January 18th Meeting (at Haas)

Attendees

From Haas:

• Jerry Engel (engel@haas.berkeley.edu), Faculty Director, Lester Center for Enterpreneurship and Innovation
• Toby Stuart (tstuart@haas.berkeley.edu), Visiting Faculty from Harvard Business School
• Javed Ahmed (jahmed@haas.berkeley.edu), PhD Candidate in finance
• Ron Berman (ron_berman@haas.berkeley.edu), PhD Student in marketing
• Ed Egan (ed_egan@haas.berkeley.edu), PhD Student in BPP
• Orie Shelef (orie_shelef@haas.berkeley.edu), PhD Student in BPP

The following are interested in this data but were unable to attend the meeting:

• Sharat Raghavan (sharat_raghavan@haas.berkeley.edu), PhD Student in BPP, and Neil Thompson (neil_thompson@haas.berkeley.edu), PhD Candidate in BPP

From SVB:

• Michael Graham ‎(MGraham@svb.com), Senior Managing Director of SVB Analytics
• Dave Krimm‎(DKrimm@svb.com), Head of Strategy and Research for SVB Analytics

Notes From the Meeting

Joining Data

The meeting opened with an impassioned plea from Toby, echoed immediately by the other academics, to be allowed to join the data to other datasets. This could be accomplished in a number of ways, including leaving 'identity identifiers' such as either names or numbers that are linked to names, in the data. SVB did not seem adverse to this.

Obvious examples of dataset which would be joined to the data include:

• Thompson VentureXpert
• SDC Mergers and Acquisitions
• Global New Issues data
• The NBER Patent Data, or other patent data
• Bankruptcy data

Generally, joined data would be available to Haas students/faculty through our library licenses, but not to SVB. SVB has a license to Dow Jones' VentureSource database, though their license does not permit them to see the identities of firms.

SVB Datasets

SVB has three datasets that they are considering sharing with us in some fashion. These are:

• The Valuations Data
• The Benchmarking Data
• The CAPMX data

The Valuations Data

Michael estimated that that SVB has 'valuations' data on 2600 early stage firms, with many firms having multiple valuations conducted over time. Internal Revenue Code 409A requires that there be no discrepency between an options value and the value of common stock, in part to prevent issue with backdating of options, and that valuations be conducted by a third-party at an arm's length from either the 'service recipient' (i.e. employee/executive/etc) and the 'service provider' (i.e. the firm). Thus firms may have approached SVB to provide them with valuations on the firms common stock potentially every time that there is an event, such as a stock option issue, which would require compliance. SVB has been collecting this data for approximately 4 years.

SVB is interested in (co-)authoring an article on valuation for publication in a (trade) journal. Michael has noticed that option pricing models (i.e. Black-Scholes models) lead to over-valuation of the stock, especially for non-participating preferred stock, and that the use of 'mulitple models' (i.e. those that use simple 1x-2x, 2x-3x, 4+ x valuations) are far more accurate valuations, and would like assistance in exploring this.

The Benchmarking Data

SVB Analytics was looking to answer "what is the next business for SVB?" Their conclusion was that they should launch a benchmarking service for their clients. They have assembled a large proprietary database of financial statements for privately-held, predominantly venture capital-backed, firms in certain sectors (specifically life science, software and cleantech). They estimated that they have one or more financial statements for approximately 50% of the venture-capital backed firms in these certain sectors, that were active in 2010.

A primary service for SVB is lending, whether in the form of loans, credit cards, or other credit, to venture capital backed startups. These loans are essentially guaranteed by the reputation of the investing venture capitalists, and data on these loans was not discussed or offered to us. However, each time that a firm applies for a loan, or has some other credit-event, this triggers a request for a full set of financial statements. The bank has been collecting these statements and is now rolling out a 'benchmarking' service, which allows firms to compare their performance on various financial measures against aggregate data on their 'peers'.

The SVB VentureSource license allows SVB to provide aggregate venture capital data to their clients, and integration of this data into the benchmarking data is being considered by SVB.

The CAPMX Data

One core service that the bank offers to its clients is the management of their firm's capital tables. The CAPMX database was estimated to have approximately 2000 users, and contains details on the capital structure of the firm including common stock outstanding, preferred stock outstanding, warrants and stock options, employee share option plans, and liquidation preferrences. The users of this data are both the firms themselves, and accounting/law firms that work for these firms. The tables are 'initialized by agents' and then accessed by the firms.

The February 4th Meeting (at SVB)

Dan Zaelit ‎(dzaelit@svb.com)‎