Shashank Shankar
Interested In Quantitative Research
Hi, I'm Shashank.
My interest centers on quantitative and systematic fixed-income research, with a focus on US inflation across cash and derivatives markets. I use market and nontraditional datasets to understand how inflation expectations are formed, where they diverge across the curve, and how those views can be expressed systematically.
Another intersection of that interest is in risk management, where the question shifts from whether a view is right to what it costs when it is wrong. I focus on position sizing, drawdown behavior, and the portfolio constraints that determine whether a signal survives implementation.
Recent Thoughts
China Doesn't Need to Win the AI Race to Break It
Chinese models don't need to beat U.S. frontier models. They only need to be good enough, at a fraction of the price, to reprice the economics of AI everywhere—and export inference deflation without capturing the profits.
Korea's Chip Cycle Is Becoming Its Macro Cycle
The semiconductor cycle is no longer a sector story. It is becoming the transmission mechanism for Korea's entire macro outlook, rewiring wages, consumption, fiscal revenues, and the BoK's room to diverge from the Fed.
The AI-Native Hedge Fund
The next generation of quantitative funds will behave less like firms with static strategies and more like continuous learning systems built around data, models, and adaptive risk infrastructure.
What I Think The Future Of Startups Looks Like
The startup craze has reached its peak, with VCs eager to fund "AI this" or "AI that." But we're approaching startups the wrong way. The future lies in building platform-level products, not another AI tool.