This successful textbook is highly regarded, especially in programs that want a solid, comprehensive text for students who sit for the CPA exam. The book is loosely organized into five sections which allow for flexibility in sequencing the topics. Many of the topics are illustrated by examples using a continuous case involving a fictitious company called Peerless Products Corporation and its subsidiary, Special Foods, Inc.

Advanced Accounting delivers an in-depth, comprehensive introduction to advanced accounting theory and application, using actual business examples and relevant news stories to demonstrate how core principles translate into real-world business scenarios. Clearly defined and logically organized Learning Objectives aid in student comprehension, while highlighted Related Concepts illustrate how individual concepts fit into the larger picture. Short answer questions throughout the chapter allow students to test their knowledge before reaching the more in-depth end-of-chapter questions, promoting a deeper understanding of both technical and conceptual aspects of the field. Written by active accounting researchers, this text brings clarity and flexibility to the central ideas underlying business combinations, consolidated financial statements, foreign currency transactions, partnerships, non-profit accounting and more. This new Seventh Edition has been updated to reflect the latest changes to FASB and GASB standards, allowing students to build a skill set based on up-to-date practices. With a student-oriented pedagogy designed to enhance comprehension, promote engagement, and build real-world understanding, this user-friendly book provides an essential foundation in current advanced accounting methods and standards.

Today's enterprises are global in all respects - they trade globally and they raise capital in international markets. This title places an emphasis on interpretation, use and impact of standards in financial reporting.

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.

'Advanced Financial Accounting' provides a comprehensive treatment of current financial reporting in the UK and is the leading textbook for 2nd and 3rd year courses in universities. Basic and advanced questions are provided at the end of the book.