Introduction:

Active portfolio management is a dynamic approach that aims to achieve superior returns by strategically selecting and timing investments. It focuses on outperforming benchmarks through continuous analysis and decision-making. This training program provides participants with comprehensive knowledge of active portfolio management techniques, effective asset allocation strategies, and risk management practices to optimize investment performance and achieve financial goals.

Program Objectives:

By the end of this program, participants will be able to:

Explore the principles of active portfolio management.
Develop and use strategic asset allocation plans.
Analyze market conditions to make informed investment decisions.
Manage portfolio risk and optimize returns through diversification.
Use advanced techniques for evaluating portfolio performance.

Target Audience:

Investment Managers and Analysts.
Portfolio Managers.
Financial Advisors.
Wealth Managers.
Finance Professionals involved in investment decision-making.

Program Outline:

Unit 1:

Principles of Active Portfolio Management:

Overview of active vs. passive portfolio management.
The role of active management in achieving investment goals.
Fundamental and technical analysis in active management.
Key performance indicators for portfolio evaluation.
Strategies for identifying market opportunities and inefficiencies.

Unit 2:

Asset Allocation Strategies:

Oversight on strategic, tactical, and dynamic asset allocation methods.
Determining the appropriate asset mix based on investor profiles.
Key steps for balancing risk and return through diversified asset allocation.
The impact of macroeconomic factors on asset allocation decisions.
Importance of implementing rebalancing strategies to maintain portfolio alignment.

Unit 3:

Risk Management in Portfolio Management:

Tools jusesd for identifying and assessing portfolio risks.
Techniques for managing and mitigating investment risks.
The role of diversification in reducing portfolio volatility.
Importance of using hedging strategies to protect against downside risk.
Value at Risk (VaR) and other risk measurement tools.

Unit 4:

Performance Evaluation and Benchmarking:

Methods for evaluating portfolio performance.
Comparing portfolio performance against benchmarks and indices.
Attribution analysis process to identify sources of portfolio returns.
How to measure risk adjusted returns and investment efficiency.
Continuous improvement through performance review and analysis.

Unit 5:

Advanced Techniques in Active Portfolio Management:

Factor based and sector rotation strategies.
Importance of using quantitative models for portfolio optimization.
Importance of incorporating behavioral finance insights into portfolio decisions.
The role of applying machine learning and AI in portfolio management.
Frameworks for developing long term strategies for sustainable portfolio growth.

Active Portfolio Management and Asset Allocation