000			03484nam a2200433 a 4500
001			000q0449
003			WSP
005			20260416153408.0
007			cr |nu|||unuuu
008			231221s2024 enk ob 001 0 eng d
010			_a 2023053697
020			_a9781800615212 _q(ebook)
020			_a1800615213 _q(ebook)
020			_z9781800615205 _q(hbk.)
040			_aWSPC _beng _cWSPC
050		4	_aHG4515.5
072		7	_aCOM _x004000 _2bisacsh
072		7	_aBUS _x027010 _2bisacsh
072		7	_aBUS _x036090 _2bisacsh
082	0	4	_a332.0285 _223
049			_aMAIN
245	0	0	_aArtificial intelligence and beyond for finance / _ceditors, Marco Corazza ... [et al.].
260			_aLondon : _bWorld Scientific Publishing Europe, _cc2024.
300			_a1 online resource (xxix, 398 p.).
490	1		_aTransformations in banking, finance and regulation, _x2752-583X ; _vvol. 15
504			_aIncludes bibliographical references and index.
505	0		_aMachine learning in portfolio decisions -- Natural language processing and stock returns -- Portfolio allocation and reinforcement learning -- Explainable artificial intelligence in risk management: a framework -- How can sentiment analysis contribute to financial markets and services? -- Quantum fintech -- Tail dependence of eurozone bond yields and sovereign CDS spreads -- Stylized facts of decentralized finance (DeFi) -- Effective systems for bot detection and real-time stock market predictions -- Reinforcement machine learning optimization algorithms for the computation of downside risk and investable portfolios in post 2007-2009 financial meltdown -- Deep learning in insurance: an incremental deep learning approach for pricing prediction strategy in the insurance industry.
520			_a"We wrote this book to help financial experts and investors to understand the state of the art of artificial intelligence and machine learning in finance. But first, what is artificial intelligence? The foundations of artificial intelligence lie in the human desire to automate. Often this desire has had foundations in grand civilization-defining visions or economic needs, such as the Antikythera mechanism, circa 200 BCE. Considered to be the oldest known example of an analog computer, it is thought that the mechanism automated the prediction of the positions of the sun, the moon, and the planets to assist in navigation. No matter the specific industry or application, AI has become a new engine of growth. Both finance and banking have been leveraging AI technologies and algorithms, applying them to automate routine tasks, procedures and forecasting, thereby improving overall customer experience. The topics covered in this book make it an invaluable resource for academics, researchers, policymakers, and practitioners alike who want to understand how AI has affected the banking and financial industries and how it will continue to change them in the years to come"-- _cPublisher's website.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
650		0	_aArtificial intelligence _xFinancial applications.
650		0	_aFinance _xData processing.
650		0	_aFinance _xTechnological innovations.
655		0	_aElectronic books.
700	1		_aCorazza, Marco, _d1962-
830		0	_aTransformations in banking, finance and regulation ; _vvol. 15.
856	4	0	_uhttps://www.worldscientific.com/worldscibooks/10.1142/q0449#t=toc
942			_cE-BOOK
999			_c49731 _d49731