Capital Structure & Waterfall Financial Modelling Certificate - Singapore

Capital Structure & Waterfall Financial Modelling Certificate - Singapore

By Bayfield Training Ltd
Online event
Multiple dates

Overview

Designed for experienced professionals, this on-demand course equips you with the skills to model sophisticated capital structures.

Master Advanced Private Equity Real Estate Modelling with Bayfield Training


Take your real estate financial modelling expertise to the next level with the Capital Structures & Waterfalls: Private Equity Real Estate Modelling Certificate an advanced course delivered by Bayfield Training. Designed for experienced professionals, this on-demand course equips you with the skills to model sophisticated capital structures and evaluate investment performance across both project and partnership levels.

Through hands-on, practical instruction, you’ll learn to build complex financial models that incorporate senior and mezzanine debt, preferred returns, distribution waterfalls, promote structures, and advanced risk analysis tools such as Monte Carlo simulations and scenario testing. The course also introduces the integration of Python and Excel to enhance the precision and scalability of your models.

Whether you’re an analyst, investor, or asset manager, this certificate demonstrates your ability to navigate the intricate financial frameworks of private equity real estate.

If you’re ready to deepen your modelling expertise in capital structuring and return analysis, this advanced certificate is your next step.

This course provides participants with advanced financial modelling capabilities tailored to real estate and private equity investments.

Adopting a hands-on, integrated approach, learners will build models from detailed project-level cash flows to partnership-level return structures. Key focus areas include capital structuring with senior and mezzanine debt, distribution waterfalls, promote mechanisms, and analysis of investment risk through sensitivity analysis, dynamic scenario modelling, and Monte Carlo simulation.

The course concludes with a bonus illustration demonstrating how to enhance scenario and risk analysis through Python integration in Excel (via xlwings), enabling more precise and scalable investment evaluations.

Difference between the Cohort version & On-Demand version:

  • Cohorts are scheduled on set dates throughout the year, to provide a structured learning experience over five weeks whilst maintaining flexibility of course working hours in that time period.
  • On-Demand allows delegates to take the training at any starting point in the year, with 12 months access to the training.

On this course, you will.

  • Model advanced cash flow structures from the project level up to the partnership level, capturing both operating and financial dynamics.
  • Construct and evaluate capital structures, including the modelling of senior and mezzanine debt.
  • Calculate promote and profit-sharing allocations across equity tiers and assess incentives under various scenarios.
  • Understand and implement distribution hurdles including preferred returns, catch-ups, and tiered waterfall structures.
  • Apply advanced risk analysis techniques such as Monte Carlo simulations, sensitivity analysis, and multi-variable scenario testing to quantify uncertainty in investment outcomes.

Module Overview

  • Module 1: Introduction to PERE
    Discover the fundamentals of Private Equity Real Estate, fund structures, and valuation frameworks.
  • Module 2: Performance Metrics & Pitfalls
    Learn to assess investment performance, avoid modelling errors, and set up your case study model.
  • Module 3: Capital Structures & Stakeholder Priority
    Build layered capital stacks and model debt and equity flows across real estate investments.
  • Module 4: Promote Structures & Waterfalls
    Construct partnership-level waterfalls, calculate promote allocations, and evaluate returns.
  • Module 5: Risk Analysis & Investment Viability
    Apply sensitivity testing, scenario modelling, and Monte Carlo simulations to quantify risk.

Module 1

Introduction to Private Equity Real Estate (PERE)

  • What is Private Equity Real Estate
  • Market Participants and Partnerships
  • Differences between Public and PERE Overview
  • Private Equity Funds
  • PERE Promote Structure

Module 2

Performance Metrics, Key Pitfalls in PERE and Case study overview

  • PERE Performance Metrics & Assessment
  • Key Pitfalls and Considerations in PERE
  • Case Study Overview
  • Components of a Real Estate Private Equity Valuation Model
  • Model Framework Setup and Assumptions inputs

Module 3

Capital Structures & Stakeholders Priority

  • Typical Capital Structure in PERE
  • Equity Capital – Unlevered Cash Flow
  • Debt Capital – Senior Loan Cash Flow, Mezzanine Finance, Revolving Credit Facility, Loan Covenants, Mezzanine Cash Flow

Module 4

Performance & Promote Structure

  • Performance Metrics – Leverage IRR and Equity Multiple (MOIC)
  • Partnership-Level Cash Flows: Waterfall Structure – Partnership level Cash Flow, Preferred Return to LP Cash Flow, Catch up Structure
  • Profit Tables – Waterfall Structure
  • Conclusive Performance Metrics

Module 5

Risk Analysis

  • Sensitivity Analysis in Excel
  • Dynamic Scenario Model in Excel
  • Monte Carlo Simulation in Excel using Random Number Generation (Non-VBA)
  • Bonus: Advanced investment Viability Analysis with Python and xlwings
Category: Business, Finance

Good to know

Highlights

  • Online

Refund Policy

Refunds up to 7 days before event

Location

Online event

Organized by

Bayfield Training Ltd

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From £3,080.34
Multiple dates