Numéraire Financial, Inc.

Credit Suisse Securities (usa) LLC

Credit Suisse First Boston LLC

Alexander Lipton

Thomas P Hardjono

Jonathan Z Song

Shinghoi Lee

Techniques for enabling the creation of a digital asset representation of physical goods (e.g., luxury items) produced in limited quantities or heirloom-goods associated with restricted ownership rules. Anti-counterfeiting mechanisms are proposed for both classes of goods. The provenance of both classes of goods is traced using cryptography and decentralized ledger technology. For example, mechanisms to restrict ownership of heirloom-goods are proposed based on the combination of the DNA biological fingerprint of the patron who originated the goods and smart contract technology. The goods can be represented as digital tokens on the blockchain, binding manufacturing evidence to the token. For heirloom-goods that have restricted ownership rules, persons seeking to acquire the good via the digital token and smart contract are required to prove that they satisfy the entitlement rules based on a biological relationship to the patron.

Tokenizing scarce goods with provenance history bound to biological fingerprints

There are provided new structural default models for modeling the likely default of publicly traded companies. In a first embodiment, the invention is straight-forward to implement and allows the capture of some important ingredients of the actual default, including positive short-term CDSs. In a second embodiment them model is somewhat more versatile and complex. Provided is a very efficient method for dealing with the timing of a default boundary, that is, jumps in the company's value, etc. Further provided is a process using Fast Fourier Transform matrix processing for processing the structural default models in a computationally efficient manner.

Systems and methods for modeling credit risks of publicly traded companies

There are provided new structural default models for modeling the likely default of publicly traded companies. In a first embodiment, the invention is straight-forward to implement and allows the capture of some important ingredients of the actual default, including positive short-term CDSs. In a second embodiment the model is somewhat more versatile and complex. Provided is a very efficient method for dealing with the timing of a default boundary, that is, jumps in the company's value, etc. Further provided is a process using Fast Fourier Transform matrix processing for processing the structural default models in a computationally efficient manner.

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Chicago, IL, United States of America

Alexander Lipton