Love and Deceit: Work-From-Home Era Spawns ‘Pillow Talk’ Insider Trading
Lawyers say recent securities-fraud cases have a new twist: they are the product of the daily humdrum of two adults doing their jobs remotely
4 min
Steven Teixeira’s use of his girlfriend’s laptop began innocently enough when she asked him to keep an eye on her work email while she went to fitness classes and ran errands.
As they weathered the pandemic from their apartment in Queens, N.Y., he gave in to temptation. His sweetheart worked as an executive assistant at Morgan Stanley, and her calendar invites included meetings about planned mergers and acquisitions that involved the investment bank.
Teixeira, a compliance executive at a payment-processing company whom she intended to marry, used the information to trade in advance of the deals. It netted him thousands in profits, promises of Rolex watches from friends he tipped off, and the scrutiny of federal officials probing insider trading. He pleaded guilty to a dozen fraud charges in June.
There is a rich history in securities fraud of “pillow talk” cases, in which insider traders glean confidential information from romantic partners. The Covid era offered a twist: Secrets weren’t spilled in the bedroom or over a bottle of wine, but during the humdrum routine of two adults working from home.
“During Covid, there was an uptick in brazen conduct,” said Edward Imperatore, a defence lawyer at law firm Morrison & Foerster. “In a work-from-home environment, people acted with more impunity.”
Another recent case snared a boyfriend who was training to work for the Federal Bureau of Investigation. Seth Markin pleaded guilty in December to trading on information he purloined from his lawyer girlfriend, an associate in the Washington office of law firm Covington & Burling.
In 2021, she was working on a pharmaceutical acquisition from her one-bedroom apartment, where Markin spent days at a time. According to prosecutors, she trusted him because he told her he had a security clearance, was going to be an FBI agent, and wanted to marry her.
Prosecutors said Markin passed on tips that led to at least 20 people trading based on confidential information. “I knew that my behaviour was wrong,” Markin told the judge during his plea hearing. He is scheduled to be sentenced in March.
Representatives for the FBI and Covington declined to comment.
In Teixeira’s case, he was aided by a mouse-jiggler he bought that ensured his girlfriend’s laptop wouldn’t lock when she wasn’t using it, according to court documents. He has been cooperating with prosecutors and is scheduled to testify this year at the trial of his former friend, Jordan Meadow, who at the time was a stockbroker with Spartan Capital Securities. Meadow made more than $700,000 trading on Teixeira’s information and used the tips to advise clients who made millions, prosecutors allege.
“Yo you see UFS,” Meadow texted Teixeira, referencing the stock symbol of a company involved in a $3 billion deal, according to the indictment. He then asked for more nonpublic information, texting, “Feed me.”
Meadow has pleaded not guilty to the eight charges he is facing. Lawyers for Meadow and Spartan declined to comment, as did a spokeswoman for Morgan Stanley, and a lawyer for Teixeira didn’t respond to requests for comment.
In 2022, the Securities and Exchange Commission settled with a New Jersey man who it accused of illegally trading on inside information he heard when his domestic partner, who worked in marketing for an IT company, participated in calls from home, including an 11:30 p.m. videoconference in a home-office adjacent to their bedroom. Although he typically discussed his trades with her, in this case he hid them, executing the transactions from his work office, the SEC said. The man, who didn’t admit wrongdoing, paid $180,000.
One thing hasn’t changed since the earliest days of pillow talk: It is usually the men who can’t resist the urge to take advantage of their confidential information.
“Insider trading is an equal opportunity crime,” said Dixie Johnson, a partner at law firm King & Spalding who advises companies on how to avoid such situations. “But the cases we see usually have involved men doing the trading.”
Not that female romantic partners have always been innocent bystanders. In 2002, adult-movie actress Kathryn Gannon, known on screen as Marylin Star, pleaded guilty to trading on tips from an investment bank CEO with whom she was having an affair. She was sentenced to three months in prison.
A decade later, former beauty queen turned hedge-fund consultant Danielle Chiesi pleaded guilty to securities fraud for her role in a sprawling insider-trading ring. In a sentencing submission, she blamed a toxic relationship with her boss—and lover of 20 years—who urged her to get inside information.
One challenge for prosecutors is determining whether the partner who is privy to the information was in on the crime, said former federal prosecutor Brendan Quigley.
“Do they say, ‘Oh, my God, I would never give information to my spouse or significant other?’ It depends not only on what actually happened, but also on the nature of their relationship,” said Quigley, who prosecuted insider-trading cases in Manhattan.
For defense lawyers, pillow-talk cases can be difficult to handle at trial, particularly if one partner testifies against another. “To a juror, this is the bad boyfriend,” said Imperatore, the defense attorney. “He’s acting badly in a relationship in a way that goes beyond the four corners of insider trading.”
Not surprisingly, many such relationships don’t survive. Teixeira and his girlfriend split up, as did Markin and his.
Former Playboy CEO Christie Hefner and her husband, William Marovitz, divorced about a year after the SEC accused him of illegally trading Playboy stock based on information gleaned from his wife—despite her explicit instructions not to. Marovitz didn’t admit wrongdoing in a 2011 settlement.
One woman whose husband recently settled insider-trading charges involving confidential information related to her employer said coping with the allegations strengthened their bond.
“It felt like an injustice,” said the woman, who wasn’t identified in court papers. “It brought us closer together.”
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Nvidia’s earnings will test Wall Street’s confidence in the AI boom.
3 min
Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.
When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.
The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.
But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.
Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.
After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.
“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”
The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.
Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.
In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.
Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.
“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”
Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.
“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.
The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.
The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.
In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.
Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.
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