About this episode
Bryan Armour, director of passive strategies research for North America for Morningstar Research Services, talks about the best way for most retail investors to leverage and which leveraged ETFs look promising. Travis Miller, strategist for Morningstar Research Services, discusses how tech companies are looking to nuclear energy to fuel data centers’ surging demand. Why Leverage Has a Debatable Reputation in Investing Volatility Drag and Leveraged ETFs Why Does Leverage Kill ETFs? What Are ETPs? A Better Way for Investors to Use Leverage in Their Portfolio How Can Investors Add Leverage to Their Portfolio Without Volatility Drag? Costs of Leveraged ETFs How Most Investors Should Gain Exposure to Leverage Do Leveraged ETFs Show Promise? What’s Coming Up in the Markets? How Much Energy Does a Data Center Need to Run? Why Small Modular Reactors Could Be Key to Powering Data Centers Are Carbon-Free Pledges Driving Companies Toward Nuclear Energy? Which Utilities Companies Are Next to Sign Data Center Deals? Is This Shift Toward Nuclear Energy Larger Than Just AI? What to Look for in Utilities Companies’ Earnings Utilities Stock Picks Read about topics from this episode. Subscribe to Morningstar's ETFInvestor Newsletter. The AI Revolution Is Ready to Power Up. It Just Needs Electricity Utilities: Falling Interest Rates, Growth Outlook Boosting Stocks What to watch from Morningstar. Apple Earnings Are on Deck. Will Apple Intelligence Help Drive iPhone Sales? Is Your Portfolio Built to Withstand a Market Rotation? Inherited IRA Rules: What You Need to Know Before 2025 How to Find the Best Health Savings Account Read what our team is writing: Bryan Armour Travis Miller Ivanna Hampton Follow us on social media. Facebook: https://www.facebook.com/MorningstarInc/ X: https://x.com/MorningstarInc Instagram: https://www.instagram.com/morningstar ... LinkedIn: https://www.linkedin.com/company/5161/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.