Summaries by Devina Mehra

Investors often make decisions based on narratives, not data, leading to poor outcomes. Equity and gold fund inflows consistently lag market movements, increasing significantly after rallies and shrinking post-corrections. The author advises caution when making money feels easy and holding during panic. Critically, the piece debunks data-free analyses, like the assumed correlation between FPI flows and market direction, citing historical evidence where substantial FPI inflows didn't prevent stagnation. The core message emphasizes prioritizing empirical data over speculative narratives for sound investment choices.

The author critically examines the AI boom, likening its hype to past tech bubbles but noting the rapid depreciation of AI assets. They question AI claims' credibility, highlighting that much hype originates from interested parties before funding. Research often lacks peer review. Concerns include AI agents' deceptive behaviors, environmental impact, data quality issues, and biases. Economic viability is doubted, with companies struggling to see value and shifting to cheaper models. The fast-evolving field, coupled with geopolitical risks and swift asset depreciation, makes AI investments inherently risky and their long-term success unpredictable.

The author critically examines fund houses, arguing they promote investment fads, shifting advice too late for investors. The industry prioritizes asset gathering, launching thematic funds when themes peak, leading to investor losses. Managers exploit FOMO, dismissing poor performance. While advocating global diversification, the author reveals many Gift City product providers lack genuine global expertise, resulting in underperforming schemes. Global markets are complex, demanding deep understanding, not opportunistic repositioning. She warns against risky private credit offerings, emphasizing prudent risk management for fixed income.