Certificate In Computational Finance

Certificate In Computational Finance – Summary of Recent Research on Artificial Market Simulation (Multi-Agent Simulation) for Financial Market Rules and/or Regulations Paper (SSRN)

What is fast trading? Why is the stock market accelerating?, Slides(.pdf), Presentation (YouTube). Can AI perform market manipulation at will? — Genetic Algorithm Learns in Artificial Market Simulation Paper (arXiv) Presentation (YouTube) Slides (.pdf) Artificial Intelligence in Financial Markets This article was just translated from Japanese by DeepL, so sorry for the bad language. English, French version.

Certificate In Computational Finance

From 2014 to 2022, I was a part-time lecturer at the University of Tokyo’s Graduate School of Public Policy.

Prizes, Centre For Computational Finance And Economic Agents (ccfea) Created By Edward Tsang

I graduated from this faculty in 2000 and was accepted to the Graduate School of Science at the University of Tokyo.

In 2002, I obtained my master’s degree. Until March 2004, I was a member of the STP (Solar Terrestrial Physics Group) at the Department of Earth and Planetary Sciences, University of Tokyo. I studied the theory of cosmic plasma physics.

In 2014, I received the scientific title of candidate of science. Diploma in Technology in the Laboratory of Kiyoshi Izumi, Department of System Innovation, Faculty of Engineering, University of Tokyo, Cert.

2021 8th International Conference on Behavioral, Economic and Sociocultural Computing (BESC 2021) Best Paper Award Nomination Certificate.

Computational Chemistry And Biology Graduate Certificate

2018, In 5th International Conference on Behavioral, Economic and Sociocultural Computing (BESC 2018), (co-author), Cert.

2014, IEEE Conference on Financial Engineering and Economics 2014 CIFEr 3rd Place Award for Best Paper, Certificate.

Hoshino, M., Mizuta, T., Yagi, I., Effects of producer payments on stock market competition from an agent-based simulation, Journal of Computational Social Science, 2022.

Yagi, I., Masuda, Y., Mizuta, T., Analysis of the Effects of High-Frequency Trading on Artificial Market Liquidity, IEEE Transactions on Computing Social Systems, Vol. 7, no. 6, p. 1324-1334, 2020, archive.

Financial Planning Certificate Online

Yagi, I., Maruyama, S., Mizuta, T., Trading strategies of leveraged ETFs in a continuous two-way auction market using agent-based simulation, Complexity, 2020, archive.

Mizuta, T., Horie, S., Active funds as a mechanism of market efficiency studied with an agent-based model, Review of Evolutionary and Institutional Economics, vol. 16, no. 1, pages 43-63, 2019 (Online First Edition: 2018) ), Full General Full Text.

Nozaki, A., Mizuta, T., Yagi, I., Investigating the market impact of investment diversification rules during a market crisis using multi-agent simulation, IEICE (Institute of Electronics, Information and Communications Engineers) Information and Transactions in Systems, vol. E100.D, issue 12, p. 2878-2887, 2017.

Yagi, I., Nozaki, A., Mizuta, T., Examining Investment Diversification Rules During Market Crashes Using Artificial Market Simulation, Review of Evolutionary and Institutional Economics, Vol. 14, no. 2, p. 451-465, 2017.

What It Entails (fass 2.0)

Mizuta, T., Kosugi, S., Kusumoto, T., Matsumoto, T., Izumi, The Effect of Dark Pools on the Efficiency and Price-Determination Function of Financial Markets: Multi-Agent Simulations, Review of Evolutionary and Institutional Economics , year . 12, issue 2, p. 375-394, 2015, accepted paper (.pdf)

Mizuta, T., Kosugi, S., Kusumoto, T., Matsumoto, T., Izumi, K., Yagi, I., Yoshimura, S., Effects of price regulation and dark pools on financial market stability: multi-agent simulation research. Intelligent systems in accounting, finance and management, Vol. 23, no. 1-2, p. 97-120, 2016 (first published online: 2015).

Mizuta, T., Izumi, K., Yagi, I., Yoshimura, S., A Review of Price Fluctuation Constraints, Short Selling Regulation and Bullish Rules and Their Optimality in Artificial Market Simulation in Japan, Electronics and Communications Design, Vol. . 98, issue 7, p. 13-21, July 2015.

Wang, C., Izumi, K., Mizuta, T. and Yoshimura, S., Studying the effect of market makers’ trading frequency: a multi-agent simulation approach, SICE Journal of Control, Measurement and System Integration, Vol.6 , no. 3, p. 216-220, 2013.

Introduction To Financial Engineering And Risk Management

Furuhata, M., Mizuta T., So J., A pair estimator concept drift tracking method: application in finance, chance discoveries, Research in Computational Intelligence, 2013, Vol.423, pp.127-141, 2013.

Yagi, I., Mizuta, T., Izumi, K., A Study on Market Effects of Short Selling Regulation Using Artificial Markets, ADVANTAGES IN PRACTICAL MULTI-AGENT SYSTEMS, Research in Computational Intelligence, Vol. 325, p. 217-231, 2011.

Yagi, I., Mizuta, T., Izumi, K., Research on the Effectiveness of Short Selling Regulation Using Artificial Markets, Review of Evolutionary and Institutional Economics, Vol.7, No.1, pp.113-132, 2010.

Mizuta, T., Kobayashi, S., Kato, T., Shimotsuma, T., How good is a fixed and complex quantum fund?, Journal of Stock Analysts, (10), pp.72-81, 2008.

School Of Business At Stevens Institute Of Technology

Mizuta, T. and M. Hoshino, New Nonstochastic Acceleration in Multicomponent Plasma, COSPAR COLLOQUIA SERIES., Vol. 16, Frontiers in Magnetospheric Plasma Physics, p. 261-264, 2005.

Fujita, S., H. Nakata, M. Itonaga, A. Yoshikawa, and T. Mizuta, Numerical simulation of Pi2 pulsations associated with a substorm current wedge, J. Geophys. Res., vol. 107, no. A3, SMP 2, March 2002.

Mizuta, T. and M. Hoshino, Preferential acceleration of heavy ions in a multicomponent plasma, Geophys. Really. Lett., Vol. 28, no. 16, p. 3099-3102, 15 August 2001.

Fujita, S., T. Mizuta, M. Itonaga, A. Yoshikawa, and H. Nakata, Propagation property of MHD transient pulses in the magnetosphere–ionosphere system: 2D Pi2 pulsation model, Geophys. Really. Lett., Vol. 28, no. 11, p. 2161-2164, 1 June 2001.

Learn More / Faq

Noritake, Y., Mizuta, T., Hemmi, R., Nagumo S., Izumi, K., A study of the effects of excess purchase orders using an agent model, Behavioral, Economic and Sociocultural Issues 9th International Conference on Computing (BESC 2022) , 29–31 October 2022, Matsuyama, Japan (virtual), full or short paper acceptance rate 46% (38/83).

Mizuta, T., Yagi, I., Takashima, K., Instability of financial markets by optimizing investment strategies verified by an agent-based model, IEEE Computational Intelligence for Financial Engineering and Economics (CIFEr 2022), 4-5. May 2022, Helsinki, Finland (virtual), archive, slide (.pdf), presentation (YouTube).

Mizuta, T., Do New Investment Strategies Capture the Returns of Existing Strategies – A Study of Agent-Based Models, 8th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC 2021), 29-31 October 2021, Doha, Qatar (Virtual), Archive, Total Paper Acceptance Rate 27% (14/52), Best Paper Award Nominee, Certificate, Slide (.pdf), Presentation (YouTube).

Mizuta, T., Can AI perform market manipulation at will? -Studies of Genetic Algorithms in Artificial Market Simulation-, IEEE Symposium Series of Computational Intelligence, Computational Intelligence for Financial Engineering and Economics (CIFEr), 1.-4. December 2020, Canberra, Australia (virtual), archive, slide(. pdf) ), Presentation (YouTube).

Financial Engineering Graduate Certificate Online

Mizuta, T., An agent-based model for designing a well-functioning financial market, Computational Intelligence on IEEE Symposium Series, Computational Intelligence for Financial Engineering and Economics (CIFEr), 1-4. December 2020, Canberra, Australia (virtual) , archive , slide(.pdf), Presentation (YouTube).

Mizuta, T., How many orders does a spoofer need? -Agent-Based Modeling Research-, 7th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC 2020), 5.-7. November 2020, Bournemouth, United Kingdom (Virtual), Presented Paper (.pdf)), Slide (.pdf ), Presentation (YouTube).

Yagi, I., Hoshino, M., Mizuta, T., Analysis of the Impact of Issuer Fees on the Stock Exchange Using Agent-Based Simulation, 1st ACM International Conference on Artificial Intelligence in Finance, 15-16 October 2020, New York, USA (virtual), archive.

Mizuta, T., An agent-based model of liquidity and arbitrage pricing between ETFs and stocks, IIAI AAI 2019, 7th International Conference on Intelligent Computing and Artificial Intelligence (SCAI 2019), p. 685-688, July 7-12, 2011 Toyama, Japan, slide (.pdf).

The Python Quants

Yagi, I., Mizuta, T., Analysis of the Impact of Investment Diversification Rule on Investment Performance Using Multi-Agent Simulation, IIAI AAI 2019, 7th International Conference on Intelligent Computing and Artificial Intelligence (SCAI 2019), p. 689-692, 7-12. July 2019, Toyama, Japan.

Mizuta, T., Effects of Horizontal Equity Pooling with Index Funds on Competition and Market Prices — An Agent-Based Model Study –, 5th International Conference on Behavioral, Economic and Sociocultural Computing (BESC 2018), p. 185-188, 12.-14. November 2018, Kaohsiung, Taiwan, paper presented (.pdf), slide (.pdf).

Yagi, I., Masuda, Y., Mizuta, T., Identifying Factors Affecting Market Liquidity Using Agent-Based Simulation, 5th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC 2018), page 173 -178, 12.-14. November 2018, Kaohsiung, Taiwan, Distinguished Research in Behavioral and Economic Computing, Certificate.

Mizuta, T., Horie, S., Why do frequently traded active funds outperform the market? – Research Using Agent-Based Modeling, IEEE Symposium Series on Computational Intelligence, Computational Intelligence for Financial Engineering and Economics (CIFEr), November 27 – December 1, 2017, Honolulu, accepted paper (.pdf), slide (.pdf) .

Icos Ruled Illegal By China’s Central Bank Amid Multi Billion Dollar Boom

Mizuta, T., Noritake, Y., Hayakawa, S., Izumi, K., Impacting Market Efficiency by Increasing the Speed​​​​​​ of Order Matching Systems in Financial Exchanges — A Study Using an Agent-Based Model, Computational Intelligence, Computational Intelligence IEEE Symposium Series on Financial Engineering and Economics (CIFEr), 6-9 December 2016, Athens, slideshare, slide(.pdf).

Yagi, I., Mizuta, T., Analyzing the Impact of Leveraged ETF ReBalancing Trades on Underlying Asset Markets Using Artificial Market Simulation, 12th Artificial Economics Conference, 20-21. September 2016, Rome, slideshare, slide(.pd) , paper(.pdf).

Mizuta, T., Kosugi, S., Kusumoto, T., Matsumoto, W., Izumi, K., Yoshimura, S., Do dark pools stabilize markets and reduce market exposure? — Investigations Using Multi-Agent Simulations –, IEEE, Computational Intelligence for Financial Engineering and Economics (CIFEr), p. pdf).

Mizuta, T., Izumi, K., Yagi, I., Yoshimura, S., Multi-Agent Simulation, IEEE, Computational Intelligence for Financial Engineering and Economics (CIFEr), p. 138-143, 27-28. March 2014, London, Slideshow, slide (.pdf).

Massive List Of Thousands Of Free Certificates And Badges — Class Central

Mizuta, T., Hayakawa, S., Izumi, K., Yoshimura, S., A Simulation Study on the Effect of Tick Size Difference on Stock Market Competition, An Agent-Based Approach in Economic and Social Complex Systems, 8th International Workshop at (AESCS) 2013), 11-13 September 2013, Tokyo, paper (.pdf), slide (slideshare), slide (.pdf).

Mizuta, T.,

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