Split the Yield, Share the Risk: Pricing, Hedging and Fixed rates in DeFi
Viraj Nadkarni, Pramod Viswanath

TL;DR
This paper develops a formal framework for yield tokenization in DeFi, enabling risk transfer, hedging, and fixed-rate lending through novel pricing models, automated market makers, and interest rate discovery mechanisms.
Contribution
It introduces the first formal model for yield token dynamics, no-arbitrage pricing, and a modular fixed-rate lending protocol in DeFi.
Findings
Yield tokens facilitate risk transfer and hedging in DeFi.
Automated market makers with bonding curves improve liquidity and trading efficiency.
The proposed fixed-rate lending protocol enhances capital efficiency and interest rate discovery.
Abstract
We present the first formal treatment of \emph{yield tokenization}, a mechanism that decomposes yield-bearing assets into principal and yield components to facilitate risk transfer and price discovery in decentralized finance (DeFi). We propose a model that characterizes yield token dynamics using stochastic differential equations. We derive a no-arbitrage pricing framework for yield tokens, enabling their use in hedging future yield volatility and managing interest rate risk in decentralized lending pools. Taking DeFi lending as our focus, we show how both borrowers and lenders can use yield tokens to achieve optimal hedging outcomes and mitigate exposure to adversarial interest rate manipulation. Furthermore, we design automated market makers (AMMs) that incorporate a menu of bonding curves to aggregate liquidity from participants with heterogeneous risk preferences. This leads to an…
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Taxonomy
TopicsEconomic Growth and Productivity · Economic Development and Digital Transformation · Firm Innovation and Growth
