
The LBO in Structure
Structure and returns
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Analysis starts with reading the accounts properly. You learn what the cash flow statement says the business did, and how to forecast from drivers, not a growth rate.
Goldman Sachs
J.P. Morgan
Morgan Stanley
BlackRock
DeloitteCompany names are shown as industry examples only; no partnership or affiliation is implied.

Structure and returns
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Price, yield, discount
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Why deals carry premiums
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Who gets paid first
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Peer sets and multiples
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Three years, comparable
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What cash actually did
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Ratios that matter
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DSO, DIO, DPO to cash
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Two sizings, one range
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Nulls, p values, traps
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Finding the broken row
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A view you can defend
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Where the value hides
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Six pages that decide it
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Sector before company
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Profit outpacing cash
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From volume and price
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Costs, margin, buy-ins
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Exposure and neutrality
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Tiers, catch-up, carry
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The claim, not the firm
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Rate sensitivity limits
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Returns after tax
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Capacity vs tolerance
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Goal to contribution
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Netting and collateral
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VaR, and what it hides
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Economics, not valuation
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Pitch to funded
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Backtests and their bias
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Fitting and diagnostics
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Answers tied to sources
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Pipelines and thresholds
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Notional and residual
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Reading a risk report
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Pricing and the basis
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Payoffs and breakeven
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What return tables hide
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Which day's NAV applies
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Four boxes that matter
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Calendar or threshold
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The long term mix
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Beyond volatility
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Read the three statements, build a working-capital schedule, and let the ratios say something.
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Analyse a company end to end, value it three ways, and publish a note you can defend.
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Build, balance and defend a real portfolio, and know why every rupee sits where it sits.
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Read funds the way an allocator does and compare them on what actually matters.
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Start from money basics and build the judgment to make your own calls.
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Run the analyst toolkit — comps, precedents and a working model — the way a live deal demands.
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Build a buyout: model the LBO, structure the returns, and defend the deal like a deal team.
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Think long/short — size positions, manage exposure, and pitch a trade with a real edge.
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Size a market, read a term sheet, and judge a startup the way an investor on the round does.
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Clean data, test a hypothesis, and backtest a strategy that survives outside the notebook.
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Put retrieval, extraction and grounding to work on real financial documents and workflows.
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Measure what can go wrong — VaR, credit exposure and the limits every desk lives by.
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Profile a client, plan around real goals, and make tax-aware calls a family can trust.
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Price a bond, read duration honestly, and analyse an issuer's credit before the market does.
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Read option payoffs, work the Greeks practically, and hedge a real exposure with futures.
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