
This lecture treats real estate as a financial asset, detailing property types: residential, commercial, retail, hotels, industrial, land, and their cash flows from leases and end sale profits, including construction patterns.
Explore how developers, brokerages, and investors interact in real estate, and value properties through discounted cash flows, terminal value, and net present value under different discount rates.
Explore how real estate value depends on discounted future cash flows, discount rates, and terminal value, and compare comparable and replacement cost methods within demand, supply, and micro market dynamics.
Explore funding options for property development, including equity, debt, and mixed structures such as 60/40 lender–developer schemes, joint ventures, and landowner–developer joint development.
Identify the credit, market, regulatory, and counterparty risks in real estate lending, and explain how default probability, loss given default, and valuation shifts interrelate along the project timeline.
Develop a cash flow model for lease rental discounting in Excel, analyzing rent escalations, DACA, CAM, taxes, and market due diligence to determine loan amount and tenor.
Learn to extract leased area from rent rolls, assess occupancy and renewal probability, and model real estate credit risk with debt-to-value, wacc, tax shields, and rent escalations.
Project rent per square foot under a real estate escalation model using a 4.4% annual rate, days elapsed since 2007, and a 90% lease renewal probability after 2023.
Build a rent roll matrix of monthly rentals per tenant per square foot, multiply by area to get monthly lease rentals, then total the 2016 payout at 190.7 million.
Develops lease rental discounting by estimating annual lease payouts, incorporating cam expenses escalating 6% on constructed area, property tax, and depreciation, with a 15-year loan schedule.
Analyze the lease rental discounting debt schedule from 2016 opening balances through 2030, deriving cash flow for debt service and metrics like DCR and DSR to assess debt repayment capacity.
Analyze how DSCR and DCR respond to changes in lease renewal probability, interest rates, loan amount, and loan tenor, and explore ballooning repayments to balance risk.
The develop and sell model funds construction mainly with customer advances, equity, and bank debt, exposing banks to cash flow risks and execution risk.
Assess location and market demand to decide funding levels, determine disbursement timing, and design a repayment schedule that avoids construction disruption while managing bank risk.
Use Excel to assess funding for a residential project with a 450 crore cost, saleable area of 5 lakh sq ft, land cost 250 crore, and 9,050 per sq ft.
Examine cost phasing for a 452 crore real estate project, front-loading construction over 12 quarters and aligning land, approvals, contingencies, and marketing with funding needs.
Sales phasing defines the quarterly percentage of the project sold to shape cash inflows, guided by price points and market benchmarks, with a five-year plan and launch spikes.
Explain collection phasing for a real estate project, detailing quarterly cash inflows, launches with price movement from 18,000 to 20,000 per sft, and 4% marketing costs tied to sales.
Analyze quarterly inflows and outflows in real estate credit risk using sum product to model new and old sales, incremental demand, and costs (land, construction, marketing, contingencies).
Learn to calculate cost outflows for a real estate project by balancing incremental costs, customer advances, and funding sources, using a 50% disbursement rule and floor protections.
Analyze cash flows to determine debt repayment timing and interest costs. Evaluate funding patterns by comparing disbursements, opening and closing balances, equity, bank debt, and customer advances to mitigate risk.
Understand Credit analysis process for various sectors like real estate, manufacturing, Construction etc. also learn the Credit report writing techniques. Get access to Credit analysis model. This course on Credit Research Analysis involves assessment of credit worthiness of a company. This course will equip the participants in forecasting future financial position of the company using spreadsheet, determining the outstanding debt position, the degree of risk factor involved and finally giving a rating to the firm based on various financial and non-financial indicators.
The extensive tutorials would equip the participants with the following:
Fundamental analysis involving sector overview and historical analysis
Understanding of all the important terms and concepts of Credit Research
At the end of this course the participants would be proficient in credit research analysis, provide a credit rating to a company using different ratios.
When an individual or any firm needs money, it approaches the lender whose job is to examine whether lending money to that borrower will be safe, i.e., whether the borrower will be able to repay the money or go bankrupt. So, the professional performing this analysis activity is called a credit research analyst. In technical terms, a credit research analyst is a finance professional proficient in evaluating an individual’s or business’s creditworthiness. Based on the borrower’s financial history and current situation, a credit research analyst determines the likelihood that a borrower will be able to meet the financial obligations and repay the loan.
Credit analyst performs fundamental credit analysis in a corporate bond, fixed income, and many others. This involves analysis of financial statements and industry overviews. An analyst also provides critical support to portfolio managers. He has to search and collect material, create financial models, and also perform relative value analysis.
They have to handle relationships with traders, investors, salespeople, etc.
Overall, they undertake the risk assessment analysis of lending proposals.
The role of credit research analyst/credit research analyst evolved around risk management, where he has to understand the risks and find out the ways to overcome these risks.
Credit research analyst/credit research analyst jobs are also expected to remain informed about legal activities.