2022 Fiscal Year Final Research Report
Project/Area Number |
20K01391
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 05060:Civil law-related
|
Research Institution | Yokohama National University |
Principal Investigator |
HAGA Ryo 横浜国立大学, 大学院国際社会科学研究院, 教授 (00263757)
|
Project Period (FY) |
2020-04-01 – 2023-03-31
|
Keywords | 相場操縦 / AI |
Outline of Final Research Achievements |
Firstly, the types of market manipulation are classified into (1) trad-based manipulation and (2) contract-based manipulation. (1) trad-based manipulation is a type of market manipulation that involves market manipulation through trading and gains profits solely from trading. On the other hand, (2) contract-based manipulation is a type of market manipulation that involves trading but gains profits from the contract.
Secondly, for each type, I analyzed the facts that correspond to the legal requirements. In the case of Artificial Intelligence (AI), there is no subjective perception for AI itself. Then, the characteristics of each type are picked up and It was clarified that the subjective elements of AI users can be inferred from their actions.
|
Free Research Field |
金融商品取引法
|
Academic Significance and Societal Importance of the Research Achievements |
金融商品取引法が法定する相場操縦は、行為者の主観的要件が適法行為と違法行為を峻別するメルクマールとなっている。そのため、機械であるAIを利用した相場操縦を認定することは、極めて困難である。そこで、AIによる相場操縦行為の特徴を捉えることにより、法令要件に該当する要件事実を明らかにして、行為者の主観的要件の充足を推認する方法を明らかにした。
|