Structured Finance and Capital Raising

01Purpose and scope

• This manual supports the course Structured Finance and Capital Raising by describing how the work is actually carried out in banks, investment banks, advisory firms, asset managers, and corporate treasury groups. It is written as a working reference for analysts, associates, deal managers, and in-house counsel who are new to a transaction or who need a common sequence to follow when a deal team changes midstream.
• Structured finance covers the design of financing where cash flows from a pool of assets, a project, or a corporate revenue stream are separated into layers of risk and return. Capital raising covers the methods used to put those layers in front of investors, including public offerings, private placements, syndicated loans, and bilateral facilities. The two often arrive together, because a structured product usually has to be sold to someone and that sale shapes how the structure is built.
• This manual does not replace qualified professional judgment, approved internal procedures, or the authorizations required by your firm, regulator, or lender. Securities, tax, bankruptcy, and accounting rules vary by jurisdiction and change over time, so confirm every point against the current authoritative source in the relevant market before you rely on it.

02Core principles

• The structure follows the cash. Before drafting anything, the deal team should be able to trace where money comes from, in what order it is paid out, and what happens when the source underperforms. Most structuring errors come from describing the product in terms of its labels instead of its payment mechanics.
• Risk should sit with the party best able to bear it and paid for bearing it. Senior tranches usually absorb less loss and accept lower yield. Junior or equity tranches absorb first losses and expect a higher return for that exposure. Subordination, overcollateralization, reserve accounts, and excess spread are the common tools for moving risk between these layers, and each tool has a cost in dollars and in complexity.
• Legal separation matters as much as economic separation. A special purpose vehicle is meant to hold assets in a way that protects investors if the sponsor fails. That protection depends on true sale analysis, the absence of commingling, limits on the vehicle's activities, and opinions from counsel on enforceability and bankruptcy remoteness. A vehicle that looks separate on a chart but is controlled informally by the sponsor offers much less protection than the diagram suggests.
• Every number in the model should have a source and an owner. Assumptions about default rates, prepayment speeds, recovery rates, interest rate paths, and fees need documented origins, whether that is historical servicer data, a third party report, or a negotiated term. Undocumented assumptions are the first thing investors and rating reviewers will challenge.

03Planning and preparation

• Start by defining the financing objective in plain terms. The sponsor may want to reduce funding cost, free up balance sheet capacity, match long dated liabilities to long dated assets, transfer a specific risk, or fund a project that has no other credit support. Each objective points toward different tranching, different investors, and different disclosure obligations. Write the objective down and get the sponsor to sign off on it before the team builds a model.
• Identify the asset pool or cash flow source and its history. For a receivables pool, that means origination standards, delinquency and charge off data by vintage, concentration by obligor and geography, and servicing capacity. For a project, it means contracted revenue, construction risk, operating cost assumptions, and offtake counterparty strength. Ask for raw data rather than summaries, and plan time to reconcile the data to audited financial statements or servicer reports.
• Map the stakeholders early. A typical team includes the sponsor and its treasury and accounting staff, the arranger or placement agent, outside counsel for issuer and investors, a trustee, a servicer or collateral manager, a rating agency if ratings are sought, an auditor or tax adviser, a cash flow modeler, and the prospective investors or lenders. Note which of these parties have consent rights, which hold information that others need, and who has authority to change terms.
• Decide the offering route before the structure is locked. A registered public offering brings disclosure and ongoing reporting obligations under US federal securities rules. A private placement under an exemption such as Regulation D or Rule 144A for qualified institutional buyers changes who can buy, how the offering may be marketed, and how much information must be delivered. A bank syndicated loan follows a different path again, with its own credit approval, documentation, and agency arrangements. The route affects timetable, cost, and the level of investor access to data, so it should not be an afterthought.
• Set the timetable with realistic gaps. Rating processes, legal opinion drafting, accountant comfort letters, investor marketing, and regulatory reviews each take time and often run in sequence. Build in slack for data cleanup, because the first pull of loan level data is almost always incomplete or inconsistent.

04Recommended workflow

1. 1
   : Confirm the mandate and the risk appetite. Record the sponsor's funding need, target size, target cost, acceptable leverage, and any restrictions from credit agreements, board policy, or regulators. Confirm which entity will be the originator, seller, issuer, and servicer, since each role carries its own obligations.
2. 2
   : Collect and validate the collateral or cash flow data. Obtain loan tapes, lease schedules, project contracts, or revenue histories. Test the data for completeness, duplicates, and internal consistency, and reconcile totals to the general ledger. Record every exclusion and the reason for it.
3. 3
   : Build the cash flow model and the base structure. Model collections, losses, prepayments, fees, expenses, and reserve movements under a set of documented scenarios, including a stressed case that reflects the worst period in the data and a severe case set by the risk team. Propose a tranche schedule with attachment and detachment points, coupon or margin terms, and expected average lives.
4. 4
   : Test the structure against investor and rating criteria. Run the waterfall under each scenario and check whether each tranche meets its target loss or payment profile. Share the assumptions with prospective investors early, since their feedback on credit support or triggers often changes the design more than internal reviews do.
5. 5
   : Engage counsel, accountants, and tax advisers on the legal and accounting form. Counsel should review the true sale and bankruptcy analysis, the vehicle's constitutional documents, the transfer agreements, and the indenture or pooling and servicing terms. Accountants should assess consolidation and derecognition under the applicable financial reporting framework, which for US filers is generally US GAAP, and tax advisers should review entity classification and withholding.
6. 6
   : Prepare the offering or loan documents and the disclosure package. For a public or Rule 144A offering, this means an offering memorandum or prospectus with a clear description of the assets, the waterfall, triggers, risk factors, and the servicer's history. For a loan, it means the credit agreement, security documents, intercreditor terms, and conditions precedent. Circulate drafts in a single controlled version and keep a log of every change.
7. 7
   : Execute the closing and set up ongoing administration. Confirm funds flow, collateral transfer, perfection of security interests, trustee acceptance, and the first reporting cycle. Load the waterfall into the administration system, set up reconciliation between servicer reports and the trustee's calculations, and assign owners for each monthly or quarterly deliverable.

05Quality checks, risk controls and compliance

• Run an independent model check before the structure goes to investors. This means a second analyst rebuilds the waterfall from the documents rather than from the first model, and the two outputs are compared line by line. Differences in the treatment of excess spread, fee ordering, or reserve release are common and should be resolved in writing.
• Test triggers and events of default against realistic paths. Early amortization triggers, cash trap triggers, and servicer termination events should be tested for how they behave when several things go wrong at once. A trigger that works in isolation may fail to fire when a delinquency spike and a servicer downgrade occur together.
• Control concentration and eligibility criteria. Eligibility tests exclude loans or receivables that do not meet defined standards, such as minimum credit score, maximum loan to value, or concentration limits by obligor. The team should confirm that the servicer can measure these tests from its systems and that breaches are reported on time.
• Address conflicts and information barriers. Arrangers may have lending, trading, or advisory roles that create conflicts with investors or the sponsor. Document how information is shared, which staff have access to deal data, and how disclosures address those relationships. Your compliance function should sign off on the process.
• Account for regulatory capital and retention rules where they apply. Some securitizations are subject to risk retention requirements or capital charges for bank sponsors and investors. These rules depend on jurisdiction, asset type, and institution type, so the team should obtain a current view from compliance and counsel rather than relying on a summary from a prior deal.
• Recognize the limits of structuring. A structure can allocate risk, but it cannot remove the economic exposure to the underlying assets. Investors and regulators will look through the label, and a deal that depends on optimistic assumptions or on a sponsor that cannot meet its servicing obligations will fail regardless of how the tranches are drawn.

06Collaboration and documentation

• Use one controlled data room and one model version history. Deal teams lose time when the team is working from different spreadsheets. Assign a single model owner, lock versions at each milestone, and record the name of the person who approved each change and the reason for it.
• Hold a standing call with counsel, accountants, and the arranger at fixed points. Common agenda items include open diligence requests, changes to the waterfall, issues raised by rating agencies or investors, and dates for legal opinions and comfort letters. Minutes should list decisions and the owner of each follow up task.
• Keep an issues log that tracks each open item from identification through resolution. For each entry, record the source, the affected document or model cell, the proposed fix, the approver, and the date it was closed in the file system. Investors and auditors may ask to see this log, so write entries as if someone outside the team will read them.
• Prepare a diligence file that supports every factual statement in the offering document. Each description of the assets, historical performance, servicer capability, or legal status should point to a document in the file. Reviewers will check statements against sources, and gaps in support are a frequent source of delay and of liability disputes.
• Coordinate disclosure across the deal team and the sponsor's investor relations or external communications staff. Statements made in marketing materials or investor presentations must be consistent with the offering document. Route any new material through counsel before it is shared.

07Measures and continuous improvement

• Track execution measures such as the number of open diligence items, the number of model revisions, the time from data receipt to first model run, and the count of comment rounds on the main documents. These figures show where the process is slowing down and where a template or checklist would help.
• Track performance measures after closing. Monthly and quarterly reports should show collateral performance against the assumptions used in the model, including delinquency, default, loss, prepayment, and recovery. Compare actual collections to the modeled waterfall and flag any divergence above a threshold the team set in advance.
• Review trigger headroom and reserve adequacy on a regular schedule. A trigger that is close to firing may need earlier attention, and a reserve that is consistently drawn may indicate that the base assumptions were too optimistic. Document each review and the decision reached.
• Feed lessons from each transaction into the next. After closing, hold a short review with the deal team to record what took longer than planned, which data problems recurred, and which investor concerns shaped the final structure. Update templates, data request lists, and model checks accordingly.
• Measure how practice changes across contexts. A sponsor funding a commercial loan book, a project company financing a power plant, and a corporate treasury team raising a term loan each face different data availability, investor bases, and regulatory regimes. Adjust the depth of diligence, the level of stress testing, and the documentation style to fit the context rather than copying a prior deal wholesale.

08Common mistakes and how to prevent them

• Building the model before defining the objective. Teams sometimes produce elegant tranching that does not match what the sponsor needs or what investors will buy. Prevent this by getting written sign off on the objective and the target investor base before modeling starts.
• Relying on summary data. Summaries hide concentrations, data errors, and vintage effects that drive losses. Request loan level or asset level data, and reconcile it to totals before any conclusions are drawn.
• Ignoring the servicer. The servicer's systems, staffing, and historical performance often determine whether the cash flows arrive as modeled. Review the servicer's reporting capacity, backup arrangements, and past performance on similar assets, and build a servicer termination scenario into the stress tests.
• Treating legal form as a formality. A vehicle that is not properly separated, a transfer that does not meet true sale tests, or a security interest that was not perfected can undo the economics of a deal. Involve counsel early and do not let the timetable compress legal review to the last few days.
• Letting disclosure lag behind the structure. When the structure changes late, the offering document and the marketing materials are often not updated in parallel. Assign one person to track all changes across documents and confirm consistency before each circulation.
• Underestimating investor feedback. Investors may ask for tighter triggers, additional credit enhancement, or different reporting. Treat these requests as design inputs and record how each one was resolved, instead of accepting or rejecting them without analysis.

09Practical checklist

• Confirm the funding objective, target size, cost target, and approval authority in writing before modeling begins.
• Identify the originator, seller, issuer, servicer, trustee, and any credit support provider, with their roles and consent rights.
• Obtain loan level or asset level data and reconcile totals to the general ledger or servicer reports.
• Document every exclusion from the pool and the reason for it.
• Build the waterfall with stressed and severe scenarios and record all modeling assumptions and their sources.
• Obtain an independent check of the model against the legal documents.
• Confirm the offering route and the exemption or approval path, and check current regulatory requirements with counsel.
• Review true sale, bankruptcy remoteness, perfection, and consolidation analysis with counsel and accountants.
• Test triggers, reserve draws, and servicer termination events under combined stress.
• Maintain a single controlled data room, model version history, and issues log.
• Confirm that every factual statement in the offering document is supported by a file document.
• Verify consistency between the offering document, marketing materials, and investor presentations before circulation.
• Set up post closing reporting, reconciliation between servicer reports and trustee calculations, and assigned owners for each deliverable.
• Schedule a post closing review and record lessons learned for the next transaction.

★Learning sources

• Micro Degree: Structured Finance and Capital Raising
• Micro Degree: Accounts Payable Management
• Micro Degree: Bank Reconciliation Operations
• Micro Degree: FinTech Fundamentals