research-article

Artificial Intelligence and Application in Finance

Author:

IC4E '20: Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning

Pages 317 - 322

https://doi.org/10.1145/3377571.3379441

Published: 03 May 2020 Publication History

Get Access

Abstract

Today, the sheer volume of data generated by humans and computers far exceeds the range of capabilities that humans can absorb, interpret and follow on complex decisions. Computers can calculate the permutation and combination of these moves extremely efficiently and get the best countermeasures. The paper introduces the history and development of Artificial Intelligence with the application of specific field, Machine Learning. With the introduction of Machine Learning, the paper experiments the influence of variables like consumption, and government spending on Gross Domestic Product (GDP). The results meets the economic and statistical theories.

References

[1]

Berke, L. J. (2010)., "US Institutional Equity Brokerage 2010: Assets, Com- mission Management and Concentration." Research report, TABB Group.

Google Scholar

[2]

Brunnermeier, M. K., & Pedersen, L. H. (2008). Market liquidity and funding liquidity. The Review of Financial Studies, 22(6), 2201--2238.

Crossref

Google Scholar

[3]

Chiarella, C., & Iori, G. (2002). A simulation analysis of the microstructure of double auction markets*. Quantitative finance, 2(5), 346--353.

Google Scholar

[4]

Foucault, T., & Menkveld, A. J. (2008). Competition for order flow and smart order routing systems. The Journal of Finance, 63(1), 119--158.

Crossref

Google Scholar

[5]

Gsell, M. (2008). Assessing the impact of Algorithmic Trading on markets: A simulation approach (No. 2008/49). CFS Working Paper.

Google Scholar

[6]

Leinweber, D. (2007). Algo. Institutional InvestorAlphaMagazine, 2(2), 44--51.

Google Scholar

[7]

Menkveld, A. J., & Jovanovic, B. (2010). Middlemen in limit order markets. In 2010 Meeting Papers (No. 955). Society for Economic Dynamics.

Google Scholar

[8]

Morris, D., & Kantor-Hendrick, L. (2005). Key Considerations in Selecting an Algorithmic Trading Provider. Trading, 2005(1), 20--28.

Google Scholar

[9]

Rosenthal, D. W. (2009). Performance metrics for algorithmic traders.

Crossref

Google Scholar

[10]

Schwartz, R. A., Francioni, R., & Weber, B. W. (2005). Decision making in equity trading: Using simulation to get a grip. The Journal of Trading, 1(1), 59--74.

Crossref

Google Scholar

Cited By

View all

Besusparienė ENiskanen V(2023)Fuzzy Model for Detection of Fraudulent Financial Statements: A Case Study of Lithuanian Micro and Small EnterprisesEuropean Journal of Business Science and Technology10.11118/ejobsat.2023.0089:2(165-185)Online publication date: 31-Dec-2023
https://doi.org/10.11118/ejobsat.2023.008
Ali HKhuttan DDaula Refat RMalik H(2023)Protecting Voice-Controlled Devices Against LASER Injection Attacks2023 IEEE International Workshop on Information Forensics and Security (WIFS)10.1109/WIFS58808.2023.10374658(1-6)Online publication date: 4-Dec-2023
https://doi.org/10.1109/WIFS58808.2023.10374658
Rahmani ARezazadeh BHaghparast MChang WTing S(2023)Applications of Artificial Intelligence in the Economy, Including Applications in Stock Trading, Market Analysis, and Risk ManagementIEEE Access10.1109/ACCESS.2023.330003611(80769-80793)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3300036
Show More Cited By

Index Terms

Artificial Intelligence and Application in Finance
1. Applied computing
  1. Law, social and behavioral sciences
    1. Economics

Recommendations

The Application of Artificial Intelligence in Mobile Learning
ICSEM '10: Proceedings of the 2010 International Conference on System Science, Engineering Design and Manufacturing Informatization - Volume 01

This paper research the application of artificial intelligence in mobile learning. In the first place, this paper analyse the meaning of mobile learning and artificial intelligence, make them clear to people. In the second place, explain the ...
Application of artificial intelligence technology in the field of orthopedics: a narrative review
Abstract
Artificial intelligence (AI) was a new interdiscipline of computer technology, mathematic, cybernetics and determinism. These years, AI had obtained a significant development by the improvement of core technology Machine Learning and Deep ...
The Application of Artificial Intelligence in the Mental Diseases
CAIH2020: Proceedings of the 2020 Conference on Artificial Intelligence and Healthcare

The advent of the era of big data has brought opportunities for the application of artificial intelligence and mental health. From "virtual psychotherapists" to social robots for dementia and autism treatment to robots for treatment of disorders, AI is ...

Comments

Information & Contributors

Information

Published In

IC4E '20: Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning

January 2020

441 pages

ISBN:9781450372947

DOI:10.1145/3377571

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

Ritsumeikan University: Ritsumeikan University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 May 2020

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

IC4E 2020

IC4E 2020: 2020 the 11th International Conference on E-Education, E-Business, E-Management, and E-Learning

January 10 - 12, 2020

Osaka, Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
488
Total Downloads

Downloads (Last 12 months)32
Downloads (Last 6 weeks)1

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Besusparienė ENiskanen V(2023)Fuzzy Model for Detection of Fraudulent Financial Statements: A Case Study of Lithuanian Micro and Small EnterprisesEuropean Journal of Business Science and Technology10.11118/ejobsat.2023.0089:2(165-185)Online publication date: 31-Dec-2023
https://doi.org/10.11118/ejobsat.2023.008
Ali HKhuttan DDaula Refat RMalik H(2023)Protecting Voice-Controlled Devices Against LASER Injection Attacks2023 IEEE International Workshop on Information Forensics and Security (WIFS)10.1109/WIFS58808.2023.10374658(1-6)Online publication date: 4-Dec-2023
https://doi.org/10.1109/WIFS58808.2023.10374658
Rahmani ARezazadeh BHaghparast MChang WTing S(2023)Applications of Artificial Intelligence in the Economy, Including Applications in Stock Trading, Market Analysis, and Risk ManagementIEEE Access10.1109/ACCESS.2023.330003611(80769-80793)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3300036
Nasir AShaukat KIqbal Khan KA. Hameed IAlam TLuo S(2021)Trends and Directions of Financial Technology (Fintech) in Society and Environment: A Bibliometric StudyApplied Sciences10.3390/app11211035311:21(10353)Online publication date: 4-Nov-2021
https://doi.org/10.3390/app112110353

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

The Application of Artificial Intelligence in Mobile Learning

Application of artificial intelligence technology in the field of orthopedics: a narrative review

The Application of Artificial Intelligence in the Mental Diseases

Comments

Information

Published In

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations