Artificial Intelligence in Economics and Finance Theories

Artificial Intelligence in Economics and Finance Theories
Author :
Publisher : Springer Nature
Total Pages : 131
Release :
ISBN-10 : 9783030429621
ISBN-13 : 3030429628
Rating : 4/5 (21 Downloads)

Book Synopsis Artificial Intelligence in Economics and Finance Theories by : Tankiso Moloi

Download or read book Artificial Intelligence in Economics and Finance Theories written by Tankiso Moloi and published by Springer Nature. This book was released on 2020-05-07 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.


Artificial Intelligence in Economics and Finance Theories Related Books

Artificial Intelligence in Economics and Finance Theories
Language: en
Pages: 131
Authors: Tankiso Moloi
Categories: Computers
Type: BOOK - Published: 2020-05-07 - Publisher: Springer Nature

DOWNLOAD EBOOK

As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordi
Artificial Intelligence and Economic Theory: Skynet in the Market
Language: en
Pages: 206
Authors: Tshilidzi Marwala
Categories: Computers
Type: BOOK - Published: 2017-09-18 - Publisher: Springer

DOWNLOAD EBOOK

This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behaviora
The Economics of Artificial Intelligence
Language: en
Pages: 172
Authors: Ajay Agrawal
Categories: Business & Economics
Type: BOOK - Published: 2024-03-05 - Publisher: University of Chicago Press

DOWNLOAD EBOOK

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. I
Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance
Language: en
Pages: 35
Authors: El Bachir Boukherouaa
Categories: Business & Economics
Type: BOOK - Published: 2021-10-22 - Publisher: International Monetary Fund

DOWNLOAD EBOOK

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benef
Machine Learning in Finance
Language: en
Pages: 565
Authors: Matthew F. Dixon
Categories: Business & Economics
Type: BOOK - Published: 2020-07-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational discipli