Kenneth lam

Big Data, Machine Learning, and the Future of Emerging Markets

The investment industry loves a good buzzword. And for the last several years, “big data” and “machine learning” have been the ones getting all the attention. Fund managers talk about them in the same breath, like they’re the same thing. They’re not. And the authors make that distinction very clear in this final chapter.

EM Portfolio Construction: Smart Indexes, Frontiers, and ESG

So you’ve learned how to trade EM credit, local rates, and FX. Now what? How do you actually put it all together into a portfolio? Chapter 10 is about the nuts and bolts of portfolio construction, and it has some genuinely surprising findings about indexes, risk parity, and why ESG is unfair to poor countries.

How to Trade EM Credit: The Sweet Spot and What Buffett Would Do

Here’s the thing about EM credit that nobody tells you upfront: the structural trade is basically dead. You’d think that because emerging markets grow faster than developed ones, their credit spreads would keep compressing over time. More growth, less risk, tighter spreads. Makes sense, right?

EMFX Event Guide: Interventions, Emergency Hikes, IMF Packages, and Elections

EM policymakers really, really care about their exchange rates. Way more than developed market policymakers do. And for good reason. FX matters more for inflation in emerging markets. There’s way more USD-denominated debt floating around. And politically, a collapsing currency is basically a death sentence for the sitting government. The FX rate is the most visible report card for whether the government is doing a good job.