- Accounting for Equity Investments
- Accounting for Business Combinations
- Accounting for Mergers and Acquisitions (Noncontrolling Interest)
- Accounting for Impairments
- Accounting for M&A Consolidation Using Equity Method
- Consolidations with Cost Method And Equity Method
- Consolidation Accounting and Inter-corporate Transactions
- Consolidation Accounting and Inter-corporate Land Sales
- Consolidation Accounting and Inter-corporate Depreciable Asset Sales
- Preparing a Consolidate Cash Flow Statement
- Consolidation Accounting: Changes in Equity Ownership
- Accounting: Consolidations with Indirect Control
- Accounting: Consolidating Special Purpose Entities
- Accounting for Joint Arrangements
- Accounting: Deferred Income Taxes in Business Combinations
- Consolidation Accounting: Segment Reporting
- Accounting for Foreign Exchange Transactions
- Accounting for Foreign Exchange Transactions
- Consolidation Accounting: Foreign Currency Translation
Accounting for Business Combinations
This lecture details accounting for wholly owned business combinations and different deal structures. You will learn about the various forms and deal structures for a business combination. Then you will learn how to calculate goodwill arising upon a business combination. You will also learn how to calculate the purchase price allocation for both wholly owned business combinations and reverse takeovers.
Data Science in Finance: 9-Book Bundle
Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.
What's Included:
- Getting Started with R
- R Programming for Data Science
- Data Visualization with R
- Financial Time Series Analysis with R
- Quantitative Trading Strategies with R
- Derivatives with R
- Credit Risk Modelling With R
- Python for Data Science
- Machine Learning in Finance using Python
Each book includes PDFs, explanations, instructions, data files, and R code for all examples.
Get the Bundle for $29 (Regular $57)Free Guides - Getting Started with R and Python
Enter your name and email address below and we will email you the guides for R programming and Python.