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Lecture 10: Designs of Financial Infrastructure Utilizing Encryption

MIT OpenCourseWare · 1:11:28 · 2 days ago

Financial infrastructure can be decentralized and protected from manipulation by using cryptographic techniques that allow computers to process hidden data. This enables auctions, credit sharing, and market matching without relying on trusted intermediaries or revealing sensitive financial information to other participants.

  • Auction privacy — Third-party managers can abuse their position to manipulate pricing; cryptographic protocols allow bidders to compare offers and find winners without revealing exact dollar amounts to competitors or the auctioneer .

  • Reducing complexity — To manage the computational load with many participants, systems can process bids in pairs or organize participants into smaller subgroups to determine winners efficiently .

  • Credit risk-sharing — Dealers often suffer from unpredictable liquidity shortages but avoid sharing information due to privacy concerns; encrypting balance sheet status allows them to share risk without exposing their financial position .

  • Hidden order matching — Traditional order matching creates risks like front-running by exposing trade volumes; encrypted limit orders allow for matching transactions while keeping individual trade details private .

  • Technological hurdles — Applying these cryptographic methods directly on blockchain ledgers remains difficult due to the heavy demand for computational operations like multiplication and addition on encrypted data .

  • How do multi-party computation systems prevent collusion among a subset of participants in an auction?

  • What are the trade-offs between implementing these financial protocols on-chain versus off-chain?