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(Reuters) -Morgan Stanley’s profit climbed as market volatility buoyed its trading desk, echoing second-quarter results among its Wall Street rivals. The investment bank posted net income of $3.5 billion, or $2.13 per share, for the three months ended June 30, it said on Wednesday. That compares with $3.1 billion, or $1.82 per share, a year earlier. Equity markets swung sharply during the quarter after U.S. President Donald Trump announced sweeping tariffs against major economies. The turbulence spurred trading as investors repositioned their portfolios and hedged risks, driving gains in Morgan Stanley’s trading business. Revenue reached $16.8 billion in the second quarter, compared with $15 billion, a year earlier. Dealmaking rebounded at the end of the quarter as some companies looked past tariff uncertainty and gained confidence to carry out IPOs, mergers and acquisitions. Industry executives held up that optimism this week, anticipating that deals and stock market listings will pick up in the second half of the year. Rival JPMorgan Chase (NYSE:JPM) beat Wall Street estimates for second-quarter profit on strong investment banking results a day earlier. Citigroup (NYSE:C) also reported a windfall from trading and investment banking. With C making headlines, savvy investors are asking: Is it truly valued fairly? In a market full of overpriced darlings, identifying true value can be challenging. InvestingPro's advanced AI algorithms have analyzed C alongside thousands of other stocks to uncover hidden gems. These undervalued stocks, potentially including C, could offer substantial returns as the market corrects. In 2024 alone, our AI identified several undervalued stocks that later surged by 30 or more. Is C poised for similar growth? Don't miss the opportunity to find out.

Investing.com -- The surge in market volatility during April’s tariff-driven panic may have felt extreme, but according to OptionMetrics, it pales in comparison to previous financial crises, at least by the numbers. “The VIX exploded to a high of 60.13 on April 7th,” OptionMetrics analyst Brett Friedman wrote, “a level not seen since the pandemic or the 2008 financial crisis.” Yet when measured against past crises, the 2025 tariff panic proved less severe. The firm notes that the VIX peaked at 80.16 during the 2008 crisis and 82.69 during the 2020 pandemic. What made April stand out was speed, according to OptionMetrics. “It took only five days for the VIX to peak, and another 14 days to revert to the level from which it started,” Friedman noted. That rapid rise and fall may have amplified investor perceptions of severity. Still, other volatility indicators are said to suggest a more muted event. The volatility risk premium was said to be below 2020. Similarly, VIX futures backwardation and implied correlation were less pronounced than in prior crises. But while market volatility normalized quickly, underlying uncertainty has not. “Since 1985, the EPU index is the highest it has ever been, and by a significant margin,” OptionMetrics found. Using one measure based solely on news coverage, current levels even exceed those seen during World War II and the Great Depression, according to the firm. “Although the VIX has returned to more ‘normal’ levels,” Friedman warned, “this suggests that VIX spikes related to economic policy surprises and general uncertainty are still very possible.” Which stock should you buy in your very next trade? AI computing powers are changing the stock market. Investing.com's ProPicks AI includes 6 winning stock portfolios chosen by our advanced AI. In 2024 alone, ProPicks AI identified 2 stocks that surged over 150%, 4 additional stocks that leaped over 30%, and 3 more that climbed over 25%. Which stock will be the next to soar?

Millennial investors bought cheap stocks in Trump tariffs market turmoil  The Independent

NEW YORK (Reuters) -JPMorgan Chase’s artificial-intelligence tools enabled it to boost sales to wealthy clients and manage scores of requests from worried customers even during April’s market rout, the bank’s CEO of asset and wealth management said. The largest U.S. lender has been ramping up its use of AI, along with its peers. Goldman Sachs is rolling out a generative AI assistant to its bankers, traders and asset managers, while Morgan Stanley developed a chatbot for its financial advisers with OpenAI. JPMorgan’s AI tools supercharged the speed at which its bankers could provide research and investment advice to wealthy clients last month at a time when the U.S. tariff announcements erased trillions of dollars from the stock market. "In the last few weeks, there have been several fluctuations in the market which are not in normal bite sizes, making it very complicated to think about all your clients and all the things required to do," Mary Erdoes, JPMorgan’s CEO of asset and wealth management, told Reuters. The powerful AI tools helped advisers to quickly handle client requests by pulling data on their trading patterns and anticipating queries, she said. In the days surrounding U.S. President Donald Trump’s tariff announcement last month, U.S. stock markets set a record for single-day trading volume, and posted some of the sharpest intraday swings of the past 50 years. The volatility prompted individual investors to call their bankers seeking advice, Erdoes said. "When you have a tool that pre-populates all the data and the movement in real time, while also remembering clients’ old investment preferences and helps in tailoring a plan for them quickly, it also allows advisers to do much more," she added. JPMorgan’s so-called Coach (NYSE:TPR) AI tool used by private client advisers is quicker at locating content and research to drive conversations with clients. "Our advisers are finding the right information up to 95% faster - which means they spend less time searching and more time engaging in meaningful conversations with clients," said Mike Urciuoli, chief information officer at JPMorgan asset and wealth management. ADDING CLIENTS The app will help advisers expand their client rosters by 50% in the next three-to-five years by enabling them to take on more clients, with AI handling some of the other research-related work. JPMorgan Asset & Wealth Management also said gross sales between 2023 and 2024 increased by 20%, with GenAI-driven tools helping teams focus more effectively on high-impact client work. "AI has also been handling a lot of anticipatory work, allowing advisers to be prepared for what could have otherwise been a very stressful moment with market movements," Erdoes said. JPMorgan had a technology budget of $17 billion last year. The bank already has about 450 potential cases for which it could use AI, and CEO Jamie Dimon expects those potential applications to surge to 1,000 by next year, he said earlier this year. Portfolio managers in asset management are also using the AI tools, Erdoes said. The bank’s GenAI toolkit is now deployed on the desktops of more than 200,000 employees, more than half of whom use it several times a day, the bank said. The bank employs almost 320,000 people. "We are trying to democratize AI and put it in the hands of more employees instead of a select group," Erdoes added. Harvard Business School recently published a case study on the potential of generative AI which included the tools being used by the 4,000 advisers serving JPMorgan’s high-net-worth private bank clients to study its impact on the bank’s business. The initiatives have already saved the bank nearly $1.5 billion through fraud prevention, personalization, trading, operational efficiencies and credit decisions, JPMorgan said. Mike Mayo, an analyst at Wells Fargo, expects the financial benefits from AI to go up by another billion dollars for the bank. "JPMorgan is a goliath and the goliath has been winning on AI. It is able to spend more money, have a cohesive strategy and incorporate the benefits to gain more share," said Mayo.