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Finance and Accounting
Financial Analysis with Modelling and Forecasting
Overview:
Introduction:
This training program provides participants with a comprehensive understanding of financial analysis, modelling, and forecasting techniques essential for informed decision-making in corporate finance. It empowers them to enhance strategic planning, optimize resource allocation, and maximize financial performance within their respective organizations.
Program Objectives:
At the end of this program, participants will be able to:
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Apply fundamental financial analysis techniques to interpret financial statements and assess company performance effectively.
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Develop advanced financial models using Excel and other tools to support forecasting, decision-making, and strategic planning.
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Employ various forecasting methods and techniques to predict future financial trends and outcomes accurately.
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Conduct comprehensive financial statement analysis to identify strengths, weaknesses, and areas for improvement within organizations.
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Utilize financial modelling insights to make informed investment decisions, evaluate strategic opportunities, and mitigate financial risks.
Targeted Audience:
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Financial analysts.
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Investment bankers.
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Corporate finance professionals.
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Accounting professionals.
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Business analysts.
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Management consultants.
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Professionals involved in budgeting and planning.
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Employees seeking to enhance their financial analysis, modelling, and forecasting skills.
Program Outlines:
Unit 1:
Foundations of Financial Analysis:
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Introduction to financial analysis and its importance in decision-making.
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Understanding financial statements: balance sheet, income statement, and cash flow statement.
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Financial ratio analysis: liquidity, solvency, profitability, and efficiency ratios.
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Interpretation of financial performance indicators to assess company health.
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Overview of financial analysis tools and software for data analysis.
Unit 2:
Advanced Financial Modelling Techniques:
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Introduction to financial modelling and its role in forecasting and decision-making.
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Building and structuring financial models: assumptions, inputs, and outputs.
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Sensitivity analysis and scenario planning to assess model robustness.
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Incorporating dynamic variables and macros in financial models.
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Best practices for model documentation, version control, and error checking.
Unit 3:
Forecasting Methods and Techniques:
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Overview of forecasting methods: time series analysis, regression analysis, and causal forecasting.
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Data preparation and cleaning for accurate forecasting.
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Building forecasting models using Excel, statistical software, and forecasting tools.
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Evaluating forecast accuracy and refining models based on performance.
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Incorporating qualitative factors and expert judgment into forecasting processes.
Unit 4:
Financial Statement Analysis and Interpretation:
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Advanced analysis of financial statements: trend analysis, common-size analysis, and DuPont analysis.
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Identifying red flags and warning signs in financial statements.
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Analyzing capital structure, leverage, and cost of capital.
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Evaluating company performance relative to industry benchmarks and peers.
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Communicating financial analysis findings effectively to stakeholders.
Unit 5:
Financial Modelling for Decision-Making and Strategy:
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Using financial models to support strategic decision-making and planning.
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Assessing investment opportunities: capital budgeting techniques and investment appraisal.
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Evaluating mergers and acquisitions: financial due diligence and valuation techniques.
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Stress testing and scenario analysis for risk management and contingency planning.
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Integrating financial modelling with business strategy to drive organizational growth and profitability.