Essentials of machine learning in finance and accounting

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)