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Click here to read this on StonyFinLab.org
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Recommended Articles
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Home Depot: Built for the Everyday, Engineered for the Future.
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Analyst: Michelle Jiang*
Research Aide: Daehyun Kim*, Xinyi Tian*, Erin Yoo*
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Home Depot serves DIY, DIFM, and professional customers through over 2,300 North American stores and interconnected digital services. Its strategy combines retail, distribution, delivery, and installation, supported by analytics and machine learning. Despite housing market challenges and margin pressures, investments in professional customers and supply chains support long-term growth potential
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Recommended Articles
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Home Depot rides steady repair demand as housing market remains subdued
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Reuters examines Home Depot’s performance amid high borrowing costs and weak housing turnover. Smaller repair projects support resilient demand, while improved comparable sales and investments in SRS Distribution and GMS highlight opportunities to offset weakness through professional customers and maintenance.
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Rising mortgage rates continue to pressure the U.S. housing market
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Reuters highlights housing market weakness as mortgage rates approach 7%, constraining construction and major renovations. For Home Depot, stable employment may support essential maintenance demand, while financing-sensitive projects and professional purchases face continued economic pressure.
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The AI Barbell
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The article proposes diversifying AI investments with energy, Bitcoin, health care, and utilities. Backtesting indicates lower volatility while retaining substantial returns, although systemic shocks and changing correlations remain significant risks.
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Real Assets for New Realities
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PGIM examines how resource constraints create opportunities in real estate, infrastructure, and commodities. Real assets may support income, diversification, and inflation protection, but require management of development risks and liquidity.
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Recommended Video or Podcast
1.Podcast: Bitcoin Is About To Go Parabolic Because Of AI Agents: [Click here]
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Jordi Visser discusses how AI agents could increase cryptocurrency demand, challenges traditional liquidity assumptions, and explains his Bitcoin outlook, alongside debates about AI valuations, autonomous assistants, and changing market dynamics.
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2.Podcast: Brad Gerstner: No AI Bubble, Semis Eat the Nasdaq & AI’s Take Off Problem: [Click here]
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Brad Gerstner argues AI’s investment boom is earnings-driven, highlighting semiconductor gains, infrastructure spending, and productivity potential while examining whether revenues justify capital expenditures amid regulation, power constraints, and rising rates.
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3.Podcast: The Productivity Bet Behind the AI Boom: [Click here]
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Jessica Wachter examines whether AI productivity gains can justify massive infrastructure spending, highlighting potential stock declines and bankruptcy risks if expectations disappoint, alongside implications for workers, wages, and economic growth.
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4.Podcast: Machine Learning And Fund Characteristics for Alpha: [Click here]
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This episode explores research showing how machine learning combines fund characteristics, past performance, and investment activeness to identify skilled managers and select mutual fund portfolios with positive alpha after costs.
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5. Podcast: Return Predictability With Endogenous Growth: [Click here]
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This episode examines how productivity volatility predicts market returns beyond valuation ratios, using an endogenous growth framework to connect uncertainty, inflation, real cash flows, and risk pricing across asset classes.
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Conferences & Events
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TCFA’s 32nd Annual Conference brings together experts to discuss macroeconomics, capital markets, and AI, featuring a Peking University panel exploring mathematics, talent development, academic research, and diverse future career pathways.The conference is on November 7–8, 2026
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The conference explores prediction markets, stablecoins, blockchain technology, and asset tokenization, bringing together academics, industry experts, and policymakers to examine digital finance’s economic foundations, practical applications, and evolving regulatory challenges.The conference is on October 29–30, 2026
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Discounts and Support Us
• Recommended publications
Weekly finance reading: Barron's (Student offer: $2/week for one year).
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• Recommended financial apps
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Stock and ETF trading and investing (Join via the link to get up to 20 free shares): Webull.
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Crypto trading and investing (Join via the link to get $30 in BTC): Coinbase.
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Stock and ETF technical analysis tool (Join via the link to get $15 off your subscription): TradingView.
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Prediction market betting (Join via the link to earn $10): Kalshi
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Thanks to our members and volunteers ( Maliha Tabassum, Michelle Jiang,Yuelin Peng and Yilin Zhou) for contributions to this newsletter.
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To share information or research with the community, submit it through [Share]. We will include it if the content is deemed appropriate
Support our efforts to make free and useful financial education content by [Donating] to @stonyfinlab via Venmo!
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Stony Finance Lab is a community-driven finance network that aiming to promote personal financial responsibility and helping the community achieve financial confidence and intelligence through life-long learning. The newsletters are to share news and information on finance research, events, and jobs related to personal finance, investments of financial and digital assets, academic finance, and entrepreneurship. All newsletters are for information sharing only and shall not be deemed as financial advice. The Lab is not liable for the consequence of using any information contained in the emails.
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