Investment Strategies and Financial Market Innovation (2-weeks) online course

Investment Strategies and Financial Market Innovation (2-weeks) online course

Key details

Mode of delivery: Online Course

Course code: AFB69BO

Duration: 10 days

Fee: £6,692.00 + VAT

CPD Hours: 60

Course Overview

This course provides advanced insights into equity valuation, FX risk, derivatives, behavioural finance, ESG investing, and financial technology. Participants will learn strategic market analysis, risk management, and innovative trading strategies through practical exercises and simulations.

Agenda

Day – 1 Advanced Equity Valuation Techniques

  • Multi-Stage DCF Models
  • Relative Valuation: EV/EBITDA, PEG
  • Valuation in Cyclical and High-Growth Sectors

Day – 2 Currency Markets and FX Risk

  • FX Markets and Participants.
  • Spot, Forward, and Options Contracts
  • FX Risk Hedging

Day – 3 Investment Risk: Identification and Budgeting

  • Systematic vs. Unsystematic Risk
  • Volatility, Beta, and Value at Risk (VaR)
  • Risk Budgeting and Control

Day – 4 Derivatives in Practice

  • Futures and Options Pricing Basics
  • Swaps and Structured Products
  • Real-World Derivatives Misuse

Day – 5 Weekly Review

  • Summary and recap of key learning objectives
  • Action Planning

Day – 6 Behavioural Finance and Investor Psychology

  • Cognitive Biases and Heuristics
  • Irrational Market Behaviour
  • Behavioural Portfolio Construction

Day – 7 Sustainable and ESG Investing

  • Principles of ESG and Responsible Investing
  • ESG Risk Integration into Portfolios
  • Green Bonds and Impact Funds

Day – 8 Financial Innovation and Fintech in Markets

  • Blockchain and Tokenized Assets
  • Algorithmic Trading and Robo-Advisors
  • Big Data, AI, and Predictive Analytics

Day – 9 Integrated Market Strategy Lab

  • Cross-Market Investment Strategy
  • Scenario Analysis and Stress Testing
  • Group Simulation: Competing Investment Strategies

Day – 10 Course Review

  • Summary and recap of key learning objectives
  • Action Planning

Post-Course

  • Six (6) x hour-long Executive Coaching sessions at monthly intervals following Course Completion

Target Audience

This course is suitable for:

  • Investment Professionals (Analysts, Associates, Portfolio Managers)
  • Finance Managers and Corporate Treasurers
  • Capital Markets, Fixed Income, Equity, and Derivatives Professionals
  • Financial Regulators and Supervisors
  • Risk Analysts and Financial Controllers
  • Wealth Managers and Private Bankers
  • Fintech Professionals
  • Policy Advisors and Economists
  • Sustainability and ESG Officers
  • Business School and Executive Education Participants

Learning Outcomes

By the end of this course, you will be able to implement a successful strategy that enables you to:

  • Build a multi-stage DCF using growth assumptions.
  • Evaluate companies using sector-relative metrics.
  • Analyse appropriate models for volatile industries
  • Describe how currencies are traded and by whom.
  • Differentiate FX instruments and their applications.
  • Design basic hedging strategies using forwards or options.
  • Classify types of investment risk and their implications.
  • Apply common risk metrics to portfolio scenarios.
  • Develop a basic risk budgeting plan for asset managers.
  • Apply pricing formulas for call and put options.
  • Analyse how swaps are used in rate and currency hedging.
  • Evaluate case studies of derivatives-related financial crises.
  • Identify biases like loss aversion, anchoring, and herding.
  • analyse market bubbles through behavioural lenses.
  • Incorporate behavioural factors into portfolio design.
  • Describe ESG scoring frameworks and impact metrics.
  • Evaluate how ESG risks affect portfolio risk-return.
  • Analyse instruments aligned with sustainability goals.
  • Describe how DLT enables asset tokenization.
  • Evaluate the pros/cons of automated investment platforms.
  • Apply data science concepts to forecast market moves.
  • Construct a diversified investment strategy using equity, debt, and derivatives.
  • Apply stress-testing techniques to strategy simulations.
  • Evaluate team-based strategies under live market simulations.

Categories

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