Posts, essays, and research notes on quantitative finance, frontier assets, and machine learning.
Seminar at the Singapore Management University. Does transparent price formation guarantee that the market is efficient? An exploration of the Grossman-Stiglitz paradox with MEV in decentralized exchanges.
Winter is not a catastrophe; it is a testament that DeFi can adapt and grow.
Seminar at the National University of Singapore. Classical auction formats, game-theoretic foundations, Revenue Equivalence Theorem, and applications to decentralized markets.
Big data promised to reveal unseen patterns. Machine learning promised to unearth insights into big data. GenAI now promises actionable understanding.
Seminar at the Nanyang Technological University. Structure, liquidity and implications of fragmentation across CEX and DEX venues.
The danger isn't AI in mathematics; it's using it in secret.
Staking rewards are protocol-guaranteed and deterministic. We introduce the first formal risk-free rate framework for blockchain assets.
I joined Derek Ting on his "What I Think" podcast to walk through AI's evolution; from basic regressions to transformers, and what that means for finance today.
Eight times a year, the Federal Reserve publishes a qualitative report that influences trillion-dollar decisions. Can we use LLMs to process it faster?
The January 2024 approval of the US Bitcoin ETF was hailed as a watershed moment. What actually changed in the market?