Published on the most read blog Entrepreneur investor Between April 1 and June 30, captured a profession in speed, struggling with disruption, uncertainty and heritage. While subjects were diverse, many topics emerged:
- AI and analyst growth: Investment professionals are seriously wondering how to work, rather than to replace by AI. Q2’s top reads mean bias, signal, model performance, and being competitive in the AI-operated world.
- Rethinking portfolio construction: From stretched market concentration to small-cap rotation and biocese framework, readers diverted a clever manner to diversify the portfolio and get into a position.
- Learning from long view: History, macro forces and global politics looked extensively in Q2 materials. Readers saw the past, not for Notelzia, but for future risks and data-driven insights into returns.
1. Vices, virtues, and little humor: 30 quotes from financial history
Mark J. Higgins, CFA, CFP, and Rachel Clofer provide a sharp, unnatural reminder that financial stupidity is nothing new. For centuries, these quotes of the past highlight the recurring misunderstandings, extreme confidence and timely talent that shapes the markets today.
2. Market concentration and lost for decades
Top 10 American shares now represent more than one third of the market cap, Bill Poly, CFA, Kevin Balls, CFA, and Adam Shreyber, CFA, CAIA, find out what history tells us what history tells us about such extremes. The elevated concentration and stretched evaluation often occurs before prolonged underperformance, underlining the need for more intentional approach to diversification.
3. Small Cap vs. Big Cap: Chakra that is dead
Daniel Fang, CFA, CAIA, the history of the market cycle, rate-powered migration dynamics, and relative valuation attracts a small return after more than a decade to return a small-cover after more than a decade.
4. Tariff and Geopolitics 2025 How to shape Global Economic Outlook
Kanan Mammadov investigated how inflation, economic deviations, and conservation policy increase in 2025 is re -shaping global markets. As business tension increases and market volatility, they argue that investors have to adjust the forecasts and strategies for cross-border risks and policy tremors.
5. Two permanent heritage, the exit of an olark, and “Alpha of Buffett”
How does this post show Warren Buffett’s retirement and award winner Financial analyst journal The article “Alpha of Buffett” helps explain their long -term success. I weave the legacy of a mythical investor with 80 years of history magazineRemind readers that outperformance can be rare, but it is not necessarily mysterious.
6. AI Bias by Design: What Cloud Prompt Leakes Investment reveals to professionals
This forensic looks on a leaked cloud system prompt how embedded instructions can deform financial analysis by strengthening bias, reduce the flow, and simulate logic. Dan Films, PhD, CFA, and Ram Gopal argue that without clear safety measures, investment professionals incorrectly recalled the AI-borne consistency for insight and inherited the flawed faults on the scale.
7. Tariff and Return: Lessons from 150 years of market history
One of the most broad long -term datasets available, Guido Baltusen, PhD, Joshua Decker, Michael Huntestad, PhD, Bart Van Wan Walite, CFA, and Milan Vido Vidovic, PhD, find out how the tariffs have historically affected, and the display class. Their analysis suggests that protectionism often increases macro risks, especially low volatility, consistently high-tariffs in high-tariff regulations.
8. Better performance by AI: Time to change your analyst?
In a head-to-two test, the top AI model improved human analysts in generating detailed SWOT analysis-especially when directed by advanced signal. Michael Shop, CFA, argues that the future of investment research is of those who can add model selection, early engineering and human decision to a competitive edge.
9. AI in investment management: 5 lessons from front lines
Marcus Sholar, Mitchell Systeo, PhD, Woztech Wozakzek, PhD, Franz Mohar, Patrick J. The Verkex, CFA, and Jurgan Jenses underlined the five major lessons how AI is re -shaping the investment workflows. From increasing the initial career productivity to increase moral and regulatory concerns, it emphasizes the need for significant thinking, clarity and intentional integration to unlock the value of the post AI responsibly.
10. Bayesian Age Investment: A framework for allocation of smarter portfolio
Sandeep Srinivas, CFA, introduces a dynamic, evidence-description outline that helps investors to be convicted, wrongly detected and intentionally allocate capital.
Inherent in the biecian logic, the approach shows rationality as a adaptive decision – where clarity, not certainty, gives investors a permanent edge.
looking ahead
These were the most read blogs Entrepreneur investor Between 1 April to 30 June, a quarter that reflects the profession that balances innovation with insight. Whether looking at wrestling or financial history lessons with the implications of AI, our readers show a constant hunger for deep curiosity and hardness.