MARC details
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04094nam a22004095i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-3-031-26518-1 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240319120849.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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230324s2023 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783031265181 |
| -- |
978-3-031-26518-1 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
6.3 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
AI in the Financial Markets |
| Statement of responsibility, etc. |
edited by Federico Cecconi. |
| Medium |
[electronic resource] : |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. 2023. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cham |
| Name of publisher, distributor, etc. |
Springer International Publishing |
| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
IX, 135 p. 16 illus., 11 illus. in color. |
| Other physical details |
online resource. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Agent-based Economics. |
| 9 (RLIN) |
30935 |
|
|---|
| Topical term or geographic name entry element |
Artificial intelligence. |
| 9 (RLIN) |
30936 |
|
|---|
| Topical term or geographic name entry element |
Artificial Intelligence. |
| 9 (RLIN) |
30937 |
|
|---|
| Topical term or geographic name entry element |
Capital market. |
| 9 (RLIN) |
30938 |
|
|---|
| Topical term or geographic name entry element |
Capital Markets. |
| 9 (RLIN) |
30939 |
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| Topical term or geographic name entry element |
Financial engineering. |
| 9 (RLIN) |
30940 |
|
|---|
| Topical term or geographic name entry element |
Financial Technology and Innovation. |
| 9 (RLIN) |
30941 |
|
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 9 (RLIN) |
30942 |
|
|---|
| Topical term or geographic name entry element |
Machine Learning. |
| 9 (RLIN) |
30943 |
|
|---|
| Topical term or geographic name entry element |
Natural language processing (Computer science). |
| 9 (RLIN) |
30944 |
|
|---|
| Topical term or geographic name entry element |
Natural Language Processing (NLP). |
| 9 (RLIN) |
30945 |
|
|---|
| Topical term or geographic name entry element |
Schools of economics. |
| 9 (RLIN) |
30946 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Cecconi, Federico. |
| 9 (RLIN) |
30947 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-031-26518-1">https://doi.org/10.1007/978-3-031-26518-1</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
e-Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
