The SEC suffered a significant loss last week in its ongoing legal battle with Ripple over the XRP digital token. While the District Court held that Ripple’s initial sales of XRP to institutional investors constituted the sale of unregistered securities, it was a Pyrrhic victory as the court held
Jonathan Richman
The Crypto Wars Escalate
The gloves are off. The SEC’s recent enforcement actions against leading crypto exchanges suggest that the SEC has decided that time’s up for the crypto industry as it currently exists in the United States.
After spending years urging industry participants to come in and register, the SEC has made clear, by…
California District Court Upholds SEC’s Novel “Shadow Trading” Theory
The SEC prevailed on a motion to dismiss a closely watched lawsuit alleging that a company employee had engaged in insider trading based on news about a not-yet-public corporate acquisition when he purchased securities of a third-party company that was not involved in the deal. The January 14, 2022 decision in SEC v. Panuwat (N.D. Cal.) marks the first time a court has considered the theory of “shadow trading,” which involves trading the securities of a public company that is not the direct subject of the material, nonpublic information (“MNPI”) at issue.
The Panuwat ruling does not appear to break new ground under the misappropriation theory of insider trading under the particular facts alleged. But the “shadow trading” theory warrants attention because it can have wide-ranging ramifications for traders, including hedge funds.
MNPI Update – SEC Pursues “Shadow Trading” Insider Trading Case
The SEC recently charged a former employee of a biopharmaceutical company with insider trading in advance of an acquisition but with a unique twist: Trading the securities of a company unrelated to the merger. The employee, Matthew Panuwat, did not trade his own company’s or the acquiring company’s securities, but…
Second Circuit Upholds Insider Trading Conviction, Finding Sufficient Confidentiality Duty and Personal Benefit
Last week, the Second Circuit upheld a criminal conviction for insider trading, holding that signing a Non-Disclosure Agreement (NDA) with a target company created a sufficient duty of trust and confidence to support a conviction. The defendant in United States v. Chow, an executive at a foreign private equity…
House Passes Proposed Legislation Defining Insider Trading
Since the Second Circuit’s 2014 decision in United States v. Newman triggered a debate about the personal benefit requirement, several bills have been introduced in Congress to define insider trading. The most recent effort is H.R. 2534, the Insider Trading Prohibition Act, which the House of Representatives passed overwhelmingly last week. The bill would codify certain aspects of the judicially created body of insider trading law. Although we understand that the Senate is unlikely to consider this legislation at least in the near term, the bill’s provisions – if ever enacted – could make it easier for the government to prove insider trading cases, at least against individuals.
Best Practices for Fund Managers to Mitigate Big Data and Web Scraping Risks
Proskauer partners Jeff Neuburger, Robert Leonard, Josh Newville and Jonathan Richman recently invited hedge fund executives to discuss the complex regulatory and compliance issues raised by the use of alternative data. Jeff, Robert and Josh also contributed an article to the Hedge Fund Law Report on Best Practices for Private Fund Advisers to Manage the Risks of Big Data and Web Scraping.
Fund managers have been capitalizing on methods to refine and analyze big data to assist investment decisions. What types of alternative data are being used to gain new insights? Sources include: e-commerce receipts and credit-card transaction data; sensors from internet-connected machines or smart devices; and online data collected via “screen scraping” (or “web scraping” or “spidering”).
Yet alternative data does not come without risks. For example, data collected as a result of web scraping may be considered material nonpublic information (MNPI). If that data were collected in a manner considered deceptive, then trading on that information might implicate the anti-fraud provisions of the securities laws. Circumventing security protocols or disguising a scraper’s identity on a site (where required), among other behaviors, could be viewed as misrepresentations or “deceptive devices” under Section 10(b) of the Securities Exchange Act.d