Progressive Wealth Management

The 3-day Progressive Wealth Management program is designed to give finance professionals a rigorous and comprehensive grasp of today’s individual and family investment landscape – from the foundations of the financial system to advanced portfolio management and advisory practice. The program that combines theory with practical insights, covers market mechanics, asset analysis, the influence of risk and regulation on decisions and client-focused investment strategies in the real-world. So that the participants can navigate today’s complex environment effectively.

How you will benefit

• Achieve a sound understanding of core asset classes (cash, bonds, equities, real assets, commodities, digital assets)
• Explore derivatives (forwards/futures/options) and structured products: construction, pricing, portfolio use
• Gain an overview of the financial system, regulations aspects and risk management process
• Learn more about collective investments (among others, mutual funds, ETFs, hedge funds, PE) and their portfolio roles
• Attain fundamental/technical analysis basics on economics, statistics, financial math
• Investigate portfolio management & strategies (including ESG), risk-adjusted performance metrics
• Gain an understanding of AI applications in asset / market allocation and active equity, with governance and model risk oversight

Day 1

The Financial Services Sector and Industry Regulations

• The Purpose and Structure of the Financial Services Sector: How the financial industry is organized – key actors and types of markets
• Financial Services Regulation: How regulations aim to protect investors, maintain market integrity and support ethical conduct in financial activities (good governance)
• Risk Management Process: Summary of the Risk Management Process with a discussion about the risks. Financial Crime Focus: multiple forms of fraud such as Anti-Money Laundering / AML and Know Your Customer / KYC

Asset Classes and Financial Markets

• Classification of Assets: An overview with traditional vs. alternative investments
• Cash and Near Cash: Typical short-term investment instruments
• Foreign Exchange (FX) Market: How currencies are quoted and their use in a traditional portfolio
• Bonds: Fixed income securities, their features, yield/price calculations and risk management (including spreadsheet use), as well as credit aspects
• Equities: Ownership shares in companies, classifications, indices, styles and rights of shareholders
• Real Estate: Real estate investment styles and valuation methodologies. Introduction of the related ESG components
• Derivatives: Forwards, futures, and options; their purposes, pricing and valuation methods, and associated risk management considerations
• Commodities: The main types of commodities, pricing theory and portfolio management considerations
• Digital Assets: The features, opportunities and risks surrounding cryptocurrencies and tokenization

Day 2

Collective Investments

• Investment Funds: From general characteristics to the detailed main types of funds, such as mutual funds and Exchange-Traded Funds (ETFs). ESG-focused funds and challenges in ESG scoring
• Beyond Investment Funds: Structured products, hedge funds, private equity with venture capital, commodity focused investments and the basics of Sukuk instruments

Economics and Investment Analysis

• Macro- and Micro-Economic Theory: How national and global economic variables such as GDP relate to markets
• Statistics & Financial Mathematics: Fundamental statistical tools for analyzing financial data and variability. Numerical techniques to deal with interest rates and the time value of money
• Elements of Fundamental Analysis: Accounting basics, as well as key financial ratios and enterprise value measures
• Technical Analysis: Main principles and qualitative and quantitative techniques, including those for trend following

Day 3

Investment Management

• “All” About Volatility: Characteristics and approaches to estimating future volatility
• Portfolio Management Process: The generalized approach to professional portfolio management, including the most common supporting models
• Investment Strategies: Different active management styles associated with equities (including sector rotation) and fixed income (including ESG integration). Core-satellite or the inverse form
• (Risk-Adjusted) Performance Measurement: Key measurement principles and the main ratios, including advanced ones
• (Wealth Management) Operations: Client onboarding, trade settlement, custody and corporate action processes that support portfolio management. Operational risk

AI for Portfolio Management – Asset Allocation and Active Equity

• AI in Asset Allocation: Data-driven models and machine learning to better address asset / market allocation matters
• AI in Active Equity: Use of AI for stock screening, signal generation and factor-based strategies, complementing fundamental and quantitative analysis
• Governance and Explainability: Model risk, validation and explainability to ensure alignment with client interests and regulatory expectations

Investment Advice and Beyond

• Client Advisory Services: The different levels of advisory services and what they mean (starting from Do-it-yourself)
• Investment Policy Statement: How to assess client objectives, time horizons and constraints to shape investment plans, resulting in an Investment Policy Statement
• Taxation: The common types of taxation