000			03487nam a22002657a 4500
005			20250914153703.0
008			250913b |||||||| |||| 00| 0 eng d
020			_a9781032973654
082			_a332.0285631 _bABE
245			_aEssentials of machine learning in finance and accounting
260			_aNew York _bRoutledge _c2025
300			_axxiv, 234 p.
365			_aINR _b1495.00
490			_aRoutledge Advanced Texts in Economics and Finance
500			_aTable of contents: 1 Machine learning in finance and accounting MOHAMMAD ZOYNUL ABEDIN, M. KABIR HASSAN, PETR HAJEK, AND MOHAMMED MOHI UDDIN 2 Decision trees and random forests ROBERTO CASARIN, ALESSANDRO FACCHINETTI, DOMENICO SORICE, AND STEFANO TONELLATO 3 Improving longevity risk management through machine learning SUSANNA LEVANTESI, ANDREA NIGRI, AND GABRIELLA PISCOPO 4 Kernel switching ridge regression in business intelligence system MD. ASHAD ALAM, OSAMU KOMORI, AND MD. FERDUSH RAHMAN 5 Predicting stock return volatility using sentiment analysis of corporate annual reports PETR HAJEK, RENATA MYSKOVA, AND VLADIMIR OLEJ 6 Random projection methods in economics and finance ROBERTO CASARIN AND VERONICA VEGGENTE 7 The future of cloud computing in financial services: a machine learning and artificial intelligence perspective RICHARD L. HARMON AND ANDREWPSALTIS 8 Prospects and challenges of using artificial intelligence in the audit process EMON KALYAN CHOWDHURY 9 Web usage analysis: pillar 3 information assessment in turbulent times ANNA PILKOVA, MICHAL MUNK, PETRA BLAZEKOVA AND LUBOMIR BENKO 10 Machine learning in the fields of accounting, economics and finance: the emergence of new strategies MAHA RADWAN, SALMA DRISSI AND SILVANA SECINARO 11 Handling class imbalance data in business domain MD. SHAJALAL, MOHAMMAD ZOYNUL ABEDIN AND MOHAMMED MOHI UDDIN 12 Artificial intelligence (AI) in recruiting talents: recruiters’ intention and actual use of AI MD. AFTAB UDDIN, MOHAMMAD SARWAR ALAM, MD. KAOSAR HOSSAIN, TARIKUL ISLAM, AND MD. SHAH AZIZUL HOQUE (https://www.routledge.com/The-Essentials-of-Machine-Learning-in-Finance-and-Accounting/Abedin-Hassan-Hajek-Uddin/p/book/9780367480813)
520			_aThis book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management. (https://www.routledge.com/The-Essentials-of-Machine-Learning-in-Finance-and-Accounting/Abedin-Hassan-Hajek-Uddin/p/book/9780367480813)
650			_a Machine learning
650			_aFinance--Data processing
650			_a Finance--Mathematical models
700			_aAbedin, Mohammad Zoynul [Editor] _925111
700			_aHassan, M. Kabir [Editor] _925112
700			_aHajek, Petr [Editor] _925113
700			_aUddin, Mohammed Mohi [Editor] _925114
942			_cBK _2ddc
999			_c10130 _d10130