• Fundamentals of time value of money calculations.
• Core probability principles and statistical analysis.
• Understanding averages, dispersion, and variability measures.
• Introduction to regression and trend analysis for finance.
• Basics of data analytics and applied machine learning concepts.

• Fundamentals of market demand, supply, and equilibrium analysis.
• Key macroeconomic indicators including GDP trends, inflation, and growth patterns.
• Understanding credit cycles, business cycles, and their impact on investment decisions.

• Understanding income statements, balance sheets, and cash flow statements.
• GAAP vs IFRS standards and differences.
• Analysis of intercompany investments and multinational operations.

• Key concepts in capital budgeting, cost of capital, and effective corporate governance.
• Valuation strategies for mergers & acquisitions and corporate restructuring.
• Incorporating ESG factors in financial and strategic decision-making.

• Industry and company analysis techniques.
• Equity valuation: DCF, comparables, and residual income models.

• Comprehensive techniques for valuing bonds, debentures, and other fixed income instruments across different market conditions.
• Assessment of key risks including interest rate risk, credit/default risk, reinvestment risk, and liquidity risk for investment decisions.
• Understanding yield curve construction, term structure of interest rates, and their applications in portfolio management.
• Application of arbitrage-free pricing models for bonds and fixed income derivatives to optimize returns.
• Analyzing duration, convexity, and immunization strategies to manage risk and enhance portfolio performance.
• Integration of fixed income analysis in overall investment strategy and CFA exam preparation.

• Understanding derivative instruments including forwards, futures, options, and swaps, along with their market conventions.
• Pricing models for derivatives, including Black-Scholes, binomial, and Monte Carlo simulation methods.
• Option Greeks (Delta, Gamma, Theta, Vega, Rho) and their application in hedging strategies.
• Analyzing volatility, implied vs historical volatility, and its impact on derivative pricing.
• Managing financial risk using derivatives for hedging, speculation, and arbitrage opportunities.
• Integration of derivatives knowledge in portfolio management and investment strategies for CFA preparation.

• Overview of alternative asset classes including real estate, private equity, commodities, infrastructure, and hedge funds.
• Techniques for investment analysis, valuation, and due diligence of alternative assets.
• Understanding risk-return characteristics and correlations with traditional investments.
• Application of alternative investments in portfolio diversification and hedging strategies.
• Evaluating performance metrics, liquidity considerations, and fee structures.
• Integrating alternative investments knowledge into CFA exam preparation and real-world finance decisions.

• Principles of portfolio construction including asset allocation, diversification, and optimization techniques.
• Analyzing portfolio risk and return using modern portfolio theory and performance metrics.
• Incorporating behavioral finance insights to understand investor biases and decision-making.
• Strategies for managing ETF, mutual fund, and fixed income portfolios.
• Techniques for active vs passive management and rebalancing portfolios effectively.
• Applying portfolio management concepts in CFA exam scenarios and real-world investment planning.

• Comprehensive understanding of the CFA Institute Code of Ethics and Standards of Professional Conduct.
• Application of ethical principles in real-world investment decision-making.
• Introduction to Global Investment Performance Standards (GIPS) for transparent performance reporting.
• Ethical responsibilities towards clients, employers, and the investment profession.
• Integrating ethics into portfolio management, research analysis, and advisory roles.
• Preparing for CFA exam scenarios that emphasize professional conduct and ethical decision-making.

Comprehensive hands-on CFA training with practical applications and advanced Excel modeling for finance:

• Excel training from basics to advanced financial applications including formulas, pivot tables, and dashboards.
• Case studies, scenario-based learning, and real-world financial problem-solving exercises.
• Financial modeling techniques including valuation, forecasting, and risk analysis.
• Portfolio construction and scenario simulations using Excel and investment software tools.
• Application of CFA concepts in real-world investment decisions and career-focused projects.
• Integration of practical knowledge into CFA exam preparation and professional skill development.