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Agent
(Investor)
Order
Price
Mechanism
(Exchange)
Determination market price
Artificial Market Model (Agent Based Model)
1
SPARX Asset Management Co., Ltd.
Takanobu Mizuta
http://www.mizutatakanobu.com/
Note that the opinions contained herein are solely those of the authors and do not necessarily
reflect those of SPARX Asset Management Co., Ltd.
Agents (Artificial Investors)
+
Price Mechanism (Artificial Exchange)
Complete Computer Simulation needing NO Empirical Data
Virtual and Artificial financial Market built on Computers
to investigate situations that have never occurred in actual financial markets
→ No empirical data
to isolate the direct effect of changing regulations to price formation
→ So many factors cause price formation in actual markets
to investigate situations that have never occurred in actual financial markets
→ No empirical data
to isolate the direct effect of changing regulations to price formation
→ So many factors cause price formation in actual markets
Difficulty of Empirical Study
2
Discussion for regulations and rules in financial markets
Artificial Market Model
 can isolate the pure contribution of the changes to the
price formation
 can treat the changes that have never been employed
what happened
in the past
what will happen
in the future
Empirical Study
Strong point of Artificial Market Model
3
Find “possible” changes
Columbus’
Egg
Columbus’
Egg
Contribute to discussion by finding
“possible” side effects
Contribute to discussion by finding
“possible” side effects
Artificial Market Model
JPX Working Papers
http://www.jpx.co.jp/english/corporate/research-study/working-paper/
4
Many studies on Artificial Market Model
The Japanese Society for Artificial Intelligence,
Special Interest Group on Financial Informatics
http://sigfin.org/
5
Many studies on Artificial Market Model are presented
Sorry for no English web page
Contributions
6
Future Discussion
Reduction of Tick Size, Up-Tick Rule,
Price Variation Limit, Dark Pool, Frequently Batch Auction,
Contribution of HFTs for share competition among Exchanges,
Suitable Latency of Exchange System, VaR Shock,
Chain Bankruptcy of Banks,
Regulations and Rules to prevent Financial Crush
Monetary Policy, Monitoring Financial Systems
* Mizuta (2016) SSRN Working Paper Series http://ssrn.com/abstract=2710495
* Battiston et al. (2016) SCIENCE 19 Feb 2016, Vol. 351, Issue 6275, pp. 818-819. http://science.sciencemag.org/content/351/6275/818
My Expectation for AI Except Artificial Market
Screening Insider Trades and Manipulations of Stock Price;
AI have already contributed to arrest Money Laundering and Unauthorized using
Credit Cards.

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18th Annual Japan International Banking & Securities System Forum 2017

  • 1. Agent (Investor) Order Price Mechanism (Exchange) Determination market price Artificial Market Model (Agent Based Model) 1 SPARX Asset Management Co., Ltd. Takanobu Mizuta http://www.mizutatakanobu.com/ Note that the opinions contained herein are solely those of the authors and do not necessarily reflect those of SPARX Asset Management Co., Ltd. Agents (Artificial Investors) + Price Mechanism (Artificial Exchange) Complete Computer Simulation needing NO Empirical Data Virtual and Artificial financial Market built on Computers
  • 2. to investigate situations that have never occurred in actual financial markets → No empirical data to isolate the direct effect of changing regulations to price formation → So many factors cause price formation in actual markets to investigate situations that have never occurred in actual financial markets → No empirical data to isolate the direct effect of changing regulations to price formation → So many factors cause price formation in actual markets Difficulty of Empirical Study 2 Discussion for regulations and rules in financial markets Artificial Market Model  can isolate the pure contribution of the changes to the price formation  can treat the changes that have never been employed
  • 3. what happened in the past what will happen in the future Empirical Study Strong point of Artificial Market Model 3 Find “possible” changes Columbus’ Egg Columbus’ Egg Contribute to discussion by finding “possible” side effects Contribute to discussion by finding “possible” side effects Artificial Market Model
  • 5. The Japanese Society for Artificial Intelligence, Special Interest Group on Financial Informatics http://sigfin.org/ 5 Many studies on Artificial Market Model are presented Sorry for no English web page
  • 6. Contributions 6 Future Discussion Reduction of Tick Size, Up-Tick Rule, Price Variation Limit, Dark Pool, Frequently Batch Auction, Contribution of HFTs for share competition among Exchanges, Suitable Latency of Exchange System, VaR Shock, Chain Bankruptcy of Banks, Regulations and Rules to prevent Financial Crush Monetary Policy, Monitoring Financial Systems * Mizuta (2016) SSRN Working Paper Series http://ssrn.com/abstract=2710495 * Battiston et al. (2016) SCIENCE 19 Feb 2016, Vol. 351, Issue 6275, pp. 818-819. http://science.sciencemag.org/content/351/6275/818 My Expectation for AI Except Artificial Market Screening Insider Trades and Manipulations of Stock Price; AI have already contributed to arrest Money Laundering and Unauthorized using Credit Cards.