東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

AI in the financial markets = new al...

Cecconi, Federico.

Linked to FindBook

Google Book

Amazon

博客來

AI in the financial markets = new algorithms and solutions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI in the financial markets/ edited by Federico Cecconi.
Reminder of title:	new algorithms and solutions /
other author:	Cecconi, Federico.
Published:	Cham :Springer International Publishing : : 2023.,
Description:	ix, 135 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Chapter 1. Artificial Intelligence and Financial Markets -- Chapter 2. AI, the overall picture -- Chapter 3. Financial markets: values, dynamics, problems -- Chapter 4. The AI's Role in the Great Reset -- Chapter 5. AI Fintech: find out the truth -- Chapter 6. ABM applications to Financial Markets -- Chapter 7. ML application to the Financial Market -- Chapter 8. AI tools for pricing of distressed asset utp and npl loan portfolios -- Chapter 9. More than data science: FuturICT 2.0 -- Chapter 10. Opinion dynamics.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Financial applications. -
Online resource:	https://doi.org/10.1007/978-3-031-26518-1
ISBN:	9783031265181

AI in the financial markets = new algorithms and solutions /
AI in the financial marketsnew algorithms and solutions /[electronic resource] :edited by Federico Cecconi. - Cham :Springer International Publishing :2023. - ix, 135 p. :ill. (some col.), digital ;24 cm. - Computational social sciences,2509-9582. - Computational social sciences..

Chapter 1. Artificial Intelligence and Financial Markets -- Chapter 2. AI, the overall picture -- Chapter 3. Financial markets: values, dynamics, problems -- Chapter 4. The AI's Role in the Great Reset -- Chapter 5. AI Fintech: find out the truth -- Chapter 6. ABM applications to Financial Markets -- Chapter 7. ML application to the Financial Market -- Chapter 8. AI tools for pricing of distressed asset utp and npl loan portfolios -- Chapter 9. More than data science: FuturICT 2.0 -- Chapter 10. Opinion dynamics.

This book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications. In turn, the second part explores AI models in financial markets: both regarding applications that are already available (e.g. the blockchain supply chain, learning through big data, understanding natural language, or the valuation of complex bonds) and more futuristic solutions (e.g. models based on artificial agents that interact by buying and selling stocks within simulated worlds) The effects of the COVID-19 pandemic are starting to show their financial effects: more companies in a liquidity crisis; more unstable debt positions; and more loans from international institutions for states and large companies. At the same time, we are witnessing a growth of AI technologies in all fields, from the production of goods and services, to the management of socio-economic infrastructures: in medicine, communications, education, and security. The question then becomes: could we imagine integrating AI technologies into the financial markets, in order to improve their performance? And not just limited to using AI to improve performance in high-frequency trading or in the study of trends. Could we imagine AI technologies that make financial markets safer, more stable, and more comprehensible? The book explores these questions, pursuing an approach closely linked to real-world applications. The book is intended for three main categories of readers: (1) management-level employees of companies operating in the financial markets, banks, insurance operators, portfolio managers, brokers, risk assessors, investment managers, and debt managers; (2) policymakers and regulators for financial markets, from government technicians to politicians; and (3) readers curious about technology, both for professional and private purposes, as well as those involved in innovation and research in the private and public spheres.

ISBN: 9783031265181

Standard No.: 10.1007/978-3-031-26518-1doiSubjects--Topical Terms:

3493836
Artificial intelligence
--Financial applications.

LC Class. No.: HG4515.5 / .A35 2023

Dewey Class. No.: 332.028563

AI in the financial markets = new algorithms and solutions /
LDR:03542nmm a2200337 a 4500 001 2316969
003 DE-He213
005 20230324144559.0
006 m d
007 cr nn 008maaau
008 230902s2023 sz s 0 eng d
020 $a 9783031265181 $q (electronic bk.)
020 $a 9783031265174 $q (paper)
024 7 $a 10.1007/978-3-031-26518-1 $2 doi
035 $a 978-3-031-26518-1
040 $a GP $c GP
041 0 $a eng
050 4 $a HG4515.5 $b .A35 2023
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 332.028563 $2 23
090 $a HG4515.5 $b .A288 2023
245 0 0 $a AI in the financial markets $h [electronic resource] : $b new algorithms and solutions / $c edited by Federico Cecconi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a ix, 135 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Computational social sciences, $x 2509-9582
505 0 $a Chapter 1. Artificial Intelligence and Financial Markets -- Chapter 2. AI, the overall picture -- Chapter 3. Financial markets: values, dynamics, problems -- Chapter 4. The AI's Role in the Great Reset -- Chapter 5. AI Fintech: find out the truth -- Chapter 6. ABM applications to Financial Markets -- Chapter 7. ML application to the Financial Market -- Chapter 8. AI tools for pricing of distressed asset utp and npl loan portfolios -- Chapter 9. More than data science: FuturICT 2.0 -- Chapter 10. Opinion dynamics.
520 $a This book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications. In turn, the second part explores AI models in financial markets: both regarding applications that are already available (e.g. the blockchain supply chain, learning through big data, understanding natural language, or the valuation of complex bonds) and more futuristic solutions (e.g. models based on artificial agents that interact by buying and selling stocks within simulated worlds) The effects of the COVID-19 pandemic are starting to show their financial effects: more companies in a liquidity crisis; more unstable debt positions; and more loans from international institutions for states and large companies. At the same time, we are witnessing a growth of AI technologies in all fields, from the production of goods and services, to the management of socio-economic infrastructures: in medicine, communications, education, and security. The question then becomes: could we imagine integrating AI technologies into the financial markets, in order to improve their performance? And not just limited to using AI to improve performance in high-frequency trading or in the study of trends. Could we imagine AI technologies that make financial markets safer, more stable, and more comprehensible? The book explores these questions, pursuing an approach closely linked to real-world applications. The book is intended for three main categories of readers: (1) management-level employees of companies operating in the financial markets, banks, insurance operators, portfolio managers, brokers, risk assessors, investment managers, and debt managers; (2) policymakers and regulators for financial markets, from government technicians to politicians; and (3) readers curious about technology, both for professional and private purposes, as well as those involved in innovation and research in the private and public spheres.
650 0 $a Artificial intelligence $x Financial applications. $3 3493836
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Natural Language Processing (NLP) $3 3381674
650 2 4 $a Financial Technology and Innovation. $3 3591723
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Agent-based Economics. $3 3538875
650 2 4 $a Capital Markets. $3 2186436
700 1 $a Cecconi, Federico. $3 2187075
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Computational social sciences. $3 2056273
856 4 0 $u https://doi.org/10.1007/978-3-031-26518-1
950 $a Computer Science (SpringerNature-11645)