Token Model and Interpretation Function for Blockchain-Based FinTech Applications

Kanta MATSUURA

doi:10.1587/transfun.E102.A.3

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Token Model and Interpretation Function for Blockchain-Based FinTech Applications

Kanta MATSUURA

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Financial Technology (FinTech) is considered a taxonomy that describes a wide range of ICT (information and communications technology) associated with financial transactions and related operations. Improvement of service quality is the main issue addressed in this taxonomy, and there are a large number of emerging technologies including blockchain-based cryptocurrencies and smart contracts. Due to its innovative nature in accounting, blockchain can also be used in lots of other FinTech contexts where token models play an important role for financial engineering. This paper revisits some of the key concepts accumulated behind this trend, and shows a generalized understanding of the technology using an adapted stochastic process. With a focus on financial instruments using blockchain, research directions toward stable applications are identified with the help of a newly proposed stabilizer: interpretation function of token valuation. The idea of adapted stochastic process is essential for the stabilizer, too.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E102-A No.1 pp.3-10

Publication Date: 2019/01/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E102.A.3

Type of Manuscript: Special Section INVITED PAPER (Special Section on Cryptography and Information Security)

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Authors

Kanta MATSUURA
The University of Tokyo

Keyword

FinTech, timestamp, blockchain, cryptocurrency, adapted stochastic process

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Kanta MATSUURA, "Token Model and Interpretation Function for Blockchain-Based FinTech Applications" in IEICE TRANSACTIONS on Fundamentals, vol. E102-A, no. 1, pp. 3-10, January 2019, doi: 10.1587/transfun.E102.A.3.
Abstract: Financial Technology (FinTech) is considered a taxonomy that describes a wide range of ICT (information and communications technology) associated with financial transactions and related operations. Improvement of service quality is the main issue addressed in this taxonomy, and there are a large number of emerging technologies including blockchain-based cryptocurrencies and smart contracts. Due to its innovative nature in accounting, blockchain can also be used in lots of other FinTech contexts where token models play an important role for financial engineering. This paper revisits some of the key concepts accumulated behind this trend, and shows a generalized understanding of the technology using an adapted stochastic process. With a focus on financial instruments using blockchain, research directions toward stable applications are identified with the help of a newly proposed stabilizer: interpretation function of token valuation. The idea of adapted stochastic process is essential for the stabilizer, too.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E102.A.3/_p

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@ARTICLE{e102-a_1_3,
author={Kanta MATSUURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Token Model and Interpretation Function for Blockchain-Based FinTech Applications},
year={2019},
volume={E102-A},
number={1},
pages={3-10},
abstract={Financial Technology (FinTech) is considered a taxonomy that describes a wide range of ICT (information and communications technology) associated with financial transactions and related operations. Improvement of service quality is the main issue addressed in this taxonomy, and there are a large number of emerging technologies including blockchain-based cryptocurrencies and smart contracts. Due to its innovative nature in accounting, blockchain can also be used in lots of other FinTech contexts where token models play an important role for financial engineering. This paper revisits some of the key concepts accumulated behind this trend, and shows a generalized understanding of the technology using an adapted stochastic process. With a focus on financial instruments using blockchain, research directions toward stable applications are identified with the help of a newly proposed stabilizer: interpretation function of token valuation. The idea of adapted stochastic process is essential for the stabilizer, too.},
keywords={},
doi={10.1587/transfun.E102.A.3},
ISSN={1745-1337},
month={January},}

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TY - JOUR
TI - Token Model and Interpretation Function for Blockchain-Based FinTech Applications
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3
EP - 10
AU - Kanta MATSUURA
PY - 2019
DO - 10.1587/transfun.E102.A.3
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E102-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2019
AB - Financial Technology (FinTech) is considered a taxonomy that describes a wide range of ICT (information and communications technology) associated with financial transactions and related operations. Improvement of service quality is the main issue addressed in this taxonomy, and there are a large number of emerging technologies including blockchain-based cryptocurrencies and smart contracts. Due to its innovative nature in accounting, blockchain can also be used in lots of other FinTech contexts where token models play an important role for financial engineering. This paper revisits some of the key concepts accumulated behind this trend, and shows a generalized understanding of the technology using an adapted stochastic process. With a focus on financial instruments using blockchain, research directions toward stable applications are identified with the help of a newly proposed stabilizer: interpretation function of token valuation. The idea of adapted stochastic process is essential for the stabilizer, too.
ER -