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Prime 10 Blogs from Q3: Personal Market Reckoning, Fed Pivots, the Case for Low-Vol

October 15, 2025
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Key themes within the most-read blogs printed on Enterprising Investor between July 1 and September 30 embrace warnings indicators in non-public markets, positioning for Fed pivots, testing new AI instruments in analysis and portfolio building, and reinforcing governance and philosophy to remain resilient by way of uncertainty.

Resilience Over Prediction: Whether or not in response to Fed timing, inflation expectations, or market cycles, this quarter’s hottest blogs emphasize portfolio sturdiness, diversification, and structural energy amid uncertainty.

A Smarter Use of Metrics and Instruments: From capital deployment elements in non-public fairness to ML-driven portfolio building and personal GPTs for analysis, traders are rethinking how they measure, analyze, and act on info.

Integrating Macro, Know-how, and Governance: Right this moment’s funding edge comes from connecting macro context, technological innovation, disciplined governance, and coherent philosophy to attain constant long-term outcomes.

The warning indicators are piling up. From valuation inflation to payment extraction on unrealized positive factors, in the present day’s market bears putting resemblance to the late levels of previous monetary manias, writes Mark J. Higgins, CFA, CFP. This publish attracts on monetary historical past to indicate how these patterns are resurfacing in non-public markets.

Invoice Pauley, CFA, Kevin Bales, CFA, Adam Schreiber, CFA, CAIA, and Ty Painter evaluation Fed mountain climbing and easing cycles since 1965 to indicate why coverage pivots don’t present a easy playbook. Out of 12 mountain climbing cycles, 10 noticed yield-curve inversions and eight resulted in recessions. Even preemptive fee cuts don’t all the time keep away from a recession.

Money, bonds, and gold have their perks, however the draw back might be extreme, writes Pim van Vliet, PhD. Shares of low-volatility corporations with earnings that may develop with inflation might lag in bull markets however traditionally cushion drawdowns and will ship long-term returns. When blended effectively right into a portfolio, they will enhance draw back dangers with out relying solely on bonds.

Baridhi Malakar, PhD, outlines find out how to arrange a sensible, privacy-preserving AI analysis assistant in an open-source surroundings. The profit is a safe, cost-effective, and quick option to parse hundreds of pages in seconds as a part of the analysis course of whereas sustaining governance and IP safety.

Xavier Pintado, PhD, and Jérôme Spichiger, CIIA, argue that personal fairness companies’ efficiency metrics don’t embrace idle capital, which might be substantial. Extra exact metrics are the capital deployment issue (CDF), and the Orbital Property Technique (OAM), which treats the investor capital holistically with outcomes corresponding to public markets.

Forecasts and surveys present that each professionals and shoppers get it improper when predicting inflation, write David Blanchett, PhD, CFA, CFP, and Jeremy Stempien. Actual property (commodities, listed infrastructure, REITs) might look inefficient when inflation is low, however their portfolio worth seems when inflation surprises to the upside.

Using out volatility is commonly essential to reaching long-term success within the markets and historical past supplies a lesson to that finish, write Invoice Pauley, CFA, Kevin Bales, CFA, Adam Schreiber, CFA, CAIA, and Ty Painter. After evaluating 15 bear markets utilizing the S&P 500 since 1950, they conclude that low volatility and dividend funding types endure regardless of recessionary situations.

Winston Ma, CFA, Esq, explores how the emergence of a US sovereign wealth fund may upend markets, unearthing each dangers and alternatives, notably because it reshapes strategic sectors like semiconductors, synthetic intelligence, and uncommon earths.

Mark Armbruster, CFA, examines the explanations for underperformance amongst nonprofit and endowment portfolios. Amongst them: expensive options and governance points. His instructed treatments embrace adopting a deliberate, long-term funding philosophy and setting limits on sure asset courses.

Funding administration companies who undertake and practice machine studying (ML) instruments will keep a aggressive edge over their friends in portfolio building and efficiency, argues Michael Schopf, CFA. ML strategies higher seize non-linear dangers and might extra shortly assess a bunch of shares beneath varied market situations and enhance diversification.

Wanting Forward

Collectively, these Q3 blogs present how traders are adapting to a fast-changing surroundings, studying from previous fee cycles, experimenting with AI and machine studying in analysis and portfolio design, and reinforcing the worth of resilient, well-governed funding approaches. In world formed by coverage shifts and technological disruption, adaptability grounded in sound philosophy stays traders’ greatest benefit.



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