Essentials of machine learning in finance and accounting
Essentials of machine learning in finance and accounting
- New York Routledge 2025
- xxiv, 234 p.
- Routledge Advanced Texts in Economics and Finance .
Table 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)
This 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)
9781032973654
Machine learning
Finance--Data processing
Finance--Mathematical models
332.0285631 / ABE
Table 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)
This 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)
9781032973654
Machine learning
Finance--Data processing
Finance--Mathematical models
332.0285631 / ABE