Advanced Accounting Strategic Financial Analysis and Predictive Modeling #252002

Course Details

Advanced Accounting: Strategic Financial Analysis and Predictive Modeling is a 5-day intensive course designed to equip participants with advanced accounting and financial analysis techniques. This course will delve into the application of financial modeling, predictive analytics, and risk management in strategic decision-making.

Upon completion of this course, participants will be able to:
• Apply advanced accounting techniques: to analyze complex financial transactions and prepare financial statements.
• Conduct in-depth financial analysis: using ratio analysis, trend analysis, and benchmarking.
• Develop financial models: to forecast future performance and assess investment opportunities.
• Utilize predictive analytics: to identify trends, make forecasts, and inform strategic decisions.
• Manage financial risk: by assessing and mitigating financial risks.
• Communicate complex financial information: effectively to diverse audiences.

This course is suitable for:
• Accountants
• Financial analysts
• Investment bankers
• Corporate finance professionals
• Business analysts
• Anyone interested in advanced financial analysis and modeling

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment

• Consolidated Financial Statements:
o Intercompany transactions and eliminations
o Minority interests and non-controlling interests
• International Financial Reporting Standards (IFRS):
o Key differences between IFRS and GAAP
o Recent developments in IFRS
• Advanced Accounting Topics:
o Revenue recognition
o Lease accounting
o Impairment of assets

• Financial Modeling Techniques:
o Three-statement financial models
o Sensitivity analysis and scenario analysis
o Forecasting techniques (time series analysis, regression analysis)
• Valuation Methods:
o Discounted cash flow (DCF) analysis
o Comparable company analysis
o Precedent transaction analysis
• Risk Assessment and Management:
o Identifying and assessing financial risks
o Risk mitigation strategies

• Introduction to Machine Learning:
o Supervised, unsupervised, and reinforcement learning
o Data preprocessing and feature engineering
• Predictive Modeling Techniques:
o Time series forecasting
o Credit risk modeling
o Fraud detection
• AI and Automation in Finance:
o Robotic process automation (RPA)
o AI-powered financial analysis tools

• Mergers and Acquisitions:
o Valuation techniques and deal structuring
o Post-merger integration
• Corporate Restructuring:
o Bankruptcy and insolvency
o Debt restructuring
o Divestiture and spin-offs
• Financial Strategy and Decision Making:
o Capital budgeting decisions
o Dividend policy
o Working capital management

• Ethical Issues in Finance:
o Conflicts of interest
o Insider trading
o Misrepresentation of financial information
• Professional Standards and Regulations:
o Accounting standards (GAAP, IFRS)
o Ethical codes of conduct
o Regulatory compliance
• Case Studies and Industry Best Practices:
o Real-world examples of advanced financial analysis
o Lessons learned from financial crises and scandals

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Course Details