Debt RE Model vs Equity side for interview case study

Hi everyone, I’m preparing for a real estate debt modeling case study as part of an interview with a debt fund, and I’d love some insights from those with experience in lender-side modeling. I come from a real estate equity asset management background, where I’ve worked on some financial modeling but mainly portfolio oversight/investment analysis. However, I’m trying to understand the key differences when modeling from the lender perspective versus the equity investor side. 

Maybe I am overthinking it but should I expect an acquisition model/below? 

-Model Loan-level metrics – LTV, DSCR, Debt Yield, Loan IRR

-Net loan cash flows – Lender’s perspective (repayment schedules)

-Fund-level modeling – Aggregating loan performance, cost structures, and return calculations  Borrower loan modification analysis 

-Calculating loan profitability at loan-level

From those of you who’ve gone through similar debt-focused case studies, what should I expect? Are there any major shifts in approach compared to modeling for equity investments? Any specific Excel skills or structuring techniques I should focus on? Would really appreciate any guidance or resources that could help! Also, I found a case study example that I can share and that I am trying to work through. 

Thanks!  

6 Comments
 

When transitioning from equity-side modeling to lender-side modeling, there are indeed some key differences to keep in mind. Based on the most helpful WSO content, here’s what you should focus on for your real estate debt modeling case study:

  1. Loan-Level Metrics:

    • Expect to model metrics like Loan-to-Value (LTV), Debt Service Coverage Ratio (DSCR), Debt Yield, and Loan IRR. These are critical for assessing the risk and return from the lender's perspective.
    • Unlike equity modeling, where you focus on equity returns (IRR, MOIC, etc.), lenders prioritize metrics that ensure the borrower can service the debt and that the loan is adequately collateralized.
  2. Net Loan Cash Flows:

    • You’ll likely need to build repayment schedules, including interest and principal payments, and analyze cash flows from the lender’s perspective. This involves understanding amortization schedules, balloon payments, and prepayment scenarios.
  3. Fund-Level Modeling:

    • If the case study includes fund-level analysis, you may need to aggregate individual loan performance, account for fund-level costs (e.g., management fees, leverage), and calculate overall returns for the fund.
  4. Borrower Loan Modification Analysis:

    • Be prepared to analyze scenarios where the borrower requests modifications to loan terms. This could involve adjusting interest rates, extending maturities, or restructuring payments, and assessing the impact on loan profitability.
  5. Loan Profitability:

    • Calculating profitability at the loan level is crucial. This includes understanding how fees (origination, exit, etc.), interest income, and potential losses impact the lender’s returns.

Key Shifts in Approach:

  • Risk Focus: Lenders are more risk-averse than equity investors. Your modeling should reflect a focus on downside protection, such as stress-testing DSCR or LTV under adverse scenarios.
  • Cash Flow Structuring: While equity models often emphasize value creation and exit strategies, debt models prioritize cash flow stability and repayment schedules.
  • Simpler Waterfalls: Debt models may include simpler cash flow waterfalls compared to equity models, which often have complex promote structures.

Excel Skills to Focus On:

  • Building amortization schedules and understanding how to model floating vs. fixed-rate debt.
  • Sensitivity analysis to test how changes in interest rates, property performance, or other variables impact loan metrics.
  • Proficiency in creating clear, dynamic models that allow for quick scenario analysis.

Resources:

  • The Real Estate Modelling Test Practice thread on WSO (url: https://www.wallstreetoasis.com/forum/real-estate/real-estate-modelling…) provides a great example of case studies, including building property-level cash flow statements, debt amortization tables, and calculating return metrics.
  • If you have access to the case study example you mentioned, working through it will be invaluable. Focus on understanding the logic behind each calculation and how it ties back to lender priorities.

Good luck with your preparation! If you need further clarification or specific examples, feel free to ask.

Sources: Lender/Debt Fund Modeling vs Broker Modeling, Real Estate Modelling Test Practice, Investment Sales Vs. Debt/Equity Brokerage, https://www.wallstreetoasis.com/forum/investment-banking/modeling-in-hf-vs-pe-vs-ib?customgpt=1, Private Credit Resources and Prep

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 
Most Helpful

You’re on the right track in considering the key differences between lender-side and equity investor modeling. The core distinction lies in how each side views risk and returns. As a lender, you’ll be focusing on securing your principal and ensuring that the debt is serviced properly throughout the life of the loan. Here’s a breakdown of the major shifts:

1. Loan-level metrics: Lenders focus heavily on LTV (Loan-to-Value), DSCR (Debt Service Coverage Ratio), and Debt Yield. These metrics help assess the borrower’s ability to repay the loan and the risk of the loan relative to the asset’s value. Your loan-level model should prioritize these ratios to assess the financial health and repayment ability of the borrower.

2. Net loan cash flows: This is where you’ll need to incorporate repayment schedules, including interest and principal payments. For a lender, cash flows are the most important aspect, as you’ll need to make sure that debt servicing is adequate. Unlike equity models where the focus may be on overall profitability and exit, you’ll be concerned with the timing of cash flows and the potential for default or early repayment.

3. Fund-level modeling: You’re correct to consider aggregating loan performance, as the debt fund will look at the overall portfolio’s performance and risk exposure. Fund-level modeling often includes consolidating cash flows from individual loans, assessing the portfolio’s weighted average cost of debt (WACD), and calculating overall fund-level returns, usually on a net of debt basis.

4. Borrower loan modification analysis: As a lender, you may also need to model for potential loan modifications, especially in distressed or underperforming scenarios. This could include assessing whether to extend loan maturities, reduce interest rates, or alter repayment schedules, which are more likely to happen from a lender’s side than from an equity investor’s.

In terms of approach, the primary shift is moving from focusing on equity value and exit strategies to a more cash flow-centric view that prioritizes risk mitigation, principal preservation, and debt serviceability. For Excel skills, you should be comfortable with sensitivity analysis, scenario modeling, and IRR calculations at the loan level. Debt amortization schedules will be crucial to understand, along with modeling for debt waterfalls if the fund has multiple tranches of debt. Lastly, make sure you’re comfortable using discounted cash flow (DCF) models for debt, similar to how you would for equity but with a focus on ensuring the debt serviceability over time.

 

If you don’t mind you mind sharing the case study when you have a chance? I can also send some similar debt fund case study with you as well!

 

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