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Equities & Derivatives: Investment Banking Guide

Welcome to the world of Wall Street! 🏦 This guide will take you from zero to understanding how major investment banks like Goldman Sachs, Morgan Stanley, JP Morgan, and others trade equities and derivatives. Grab a coffee β˜• β€” this is your 60-90 minute journey into the heart of capital markets.

What You'll Learn: How stocks work, what derivatives are, how banks make money trading them, and the key concepts you need to understand this multi-trillion dollar industry.


πŸ“š Table of Contents​

SectionTimeWhat You'll Learn
Part 1: Understanding Equities15 minStocks, markets, how banks participate
Part 2: Introduction to Derivatives20 minOptions, futures, swaps explained simply
Part 3: Options Deep Dive20 minCalls, puts, strategies with examples
Part 4: Investment Bank Structure15 minHow trading desks work
Part 5: Real-World Examples10 minCase studies from famous banks

Part 1: Understanding Equities

What is Equity? πŸ β€‹

The Analogy: Owning a Pizza Shop​

Imagine you and 3 friends open a pizza shop worth $100,000. Each of you owns 25% β€” that's equity. You're not lending money to the shop; you own part of it.

Pizza Shop Value: $100,000
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ You: 25% β”‚ Friend A: 25% β”‚ Friend B: 25% β”‚ Friend C: 25% β”‚
β”‚ ($25,000) β”‚ ($25,000) β”‚ ($25,000) β”‚ ($25,000) β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Now imagine the shop becomes publicly traded β€” anyone can buy a piece:

Pizza Shop Inc. - 100,000 shares at $1 each
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Anyone can buy shares on the stock exchange! β”‚
β”‚ Buy 1,000 shares = Own 1% of the company β”‚
β”‚ Shop doubles in value? Your shares are now worth $2 each! β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

That's what a stock is β€” a tiny piece of ownership in a company.


Key Equity Concepts​

πŸ“Š Market Capitalization (Market Cap)​

Definition: The total value of all a company's shares

Market Cap = Share Price Γ— Number of Shares Outstanding

Example: Apple Inc.
- Share Price: $180
- Shares Outstanding: 15.5 billion
- Market Cap: $180 Γ— 15.5B = $2.79 Trillion 🍎
CategoryMarket CapExamples
Mega Cap> $200 billionApple, Microsoft, Google, Amazon
Large Cap$10-200 billionNetflix, Adobe, Salesforce
Mid Cap$2-10 billionEtsy, Zillow
Small Cap$300M - $2BRegional banks, emerging companies
Micro Cap< $300 millionStartups, penny stocks

πŸ“ˆ Stock Indices​

Analogy: A stock index is like a "playlist" of stocks that represents the market

IndexWhat It TracksAnalogy
S&P 500500 largest US companiesThe "Billboard Hot 500" of stocks
Dow Jones (DJIA)30 blue-chip companiesThe "Hall of Fame" 30
NASDAQTech-heavy US stocksThe "Tech Playlist"
Russell 20002000 small-cap stocksThe "Indie Artists"
FTSE 100100 largest UK companiesThe "British Top 100"
Nikkei 225225 largest Japanese companiesJapan's "Elite 225"

πŸ”— Live Index Data: Yahoo Finance - Markets


How Investment Banks Participate in Equities​

Investment banks don't just buy and sell stocks for themselves β€” they're the infrastructure of the market.

                    THE EQUITY ECOSYSTEM
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ β”‚
β”‚ INVESTMENT BANK β”‚
β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚ β”‚ β”‚ β”‚
β”‚ β”‚ πŸ“‹ UNDERWRITING πŸ’Ή SALES & TRADING β”‚ β”‚
β”‚ β”‚ Help companies Buy/sell stocks for β”‚ β”‚
β”‚ β”‚ go public (IPO) institutional clients β”‚ β”‚
β”‚ β”‚ β”‚ β”‚
β”‚ β”‚ πŸ”¬ RESEARCH πŸͺ MARKET MAKING β”‚ β”‚
β”‚ β”‚ Analyze stocks, Provide liquidity, β”‚ β”‚
β”‚ β”‚ publish reports always ready to trade β”‚ β”‚
β”‚ β”‚ β”‚ β”‚
β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β”‚ β”‚ β”‚
β”‚ β–Ό β”‚
β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚ β”‚ CLIENTS: Hedge Funds, Pension Funds, Mutual β”‚ β”‚
β”‚ β”‚ Funds, Sovereign Wealth Funds, Corporations β”‚ β”‚
β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β”‚ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Key Roles Explained​

RoleWhat They DoAnalogy
UnderwritingHelp companies sell new shares to the public (IPO)Real estate agent selling a house
SalesTalk to clients, understand their needs, execute tradesPersonal shopper
TradingExecute large orders, manage riskThe chef in the kitchen
ResearchAnalyze companies, publish "Buy/Sell/Hold" ratingsRestaurant critics
Market MakingAlways ready to buy/sell, provide liquidityThe house in a casino

IPO: How a Company Goes Public​

The Analogy: Selling Your Art at an Auction πŸŽ¨β€‹

You're an artist with valuable paintings. An IPO is like hiring Sotheby's to auction your art for the first time.

COMPANY'S IPO JOURNEY
═══════════════════════════════════════════════════════════

Step 1: HIRE INVESTMENT BANKS (Underwriters)
Company: "I want to go public!"
Banks: Goldman Sachs, Morgan Stanley, JP Morgan

Step 2: DUE DILIGENCE & VALUATION
Banks analyze: finances, market, growth potential
Determine: "Your company is worth $10 billion"

Step 3: FILE WITH SEC (S-1 Registration)
Public document with all company details
πŸ”— SEC EDGAR Database: https://www.sec.gov/edgar

Step 4: ROADSHOW
Management presents to institutional investors
"Here's why you should buy our stock!"

Step 5: PRICING
Based on investor demand, set IPO price
Example: $50 per share, 100M shares = $5B raised

Step 6: LISTING DAY πŸ””
Stock starts trading on NYSE/NASDAQ
The opening bell rings!

═══════════════════════════════════════════════════════════

Famous IPOs​

CompanyYearIPO PriceFirst Day CloseBank Lead
Facebook2012$38$38.23Morgan Stanley
Alibaba2014$68$93.89Credit Suisse
Uber2019$45$41.57Morgan Stanley
Airbnb2020$68$144.71Morgan Stanley
Rivian2021$78$100.73Morgan Stanley

πŸ”— Track Upcoming IPOs: Nasdaq IPO Calendar


Part 2: Introduction to Derivatives

What is a Derivative? πŸŽ­β€‹

The Analogy: A Contract About Something Else​

A derivative is a contract whose value is DERIVED from something else (the "underlying asset")

Think of it like this:

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ β”‚
β”‚ UNDERLYING ASSET DERIVATIVE β”‚
β”‚ (The actual thing) (A contract about it) β”‚
β”‚ β”‚
β”‚ 🏠 House β†’ Insurance policy β”‚
β”‚ 🌾 Wheat β†’ Futures contract β”‚
β”‚ πŸ“ˆ Stock β†’ Option to buy/sell β”‚
β”‚ πŸ’± Currency β†’ Forward contract β”‚
β”‚ πŸ“Š Interest Rate β†’ Swap agreement β”‚
β”‚ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Real-world analogy: A movie ticket is like a derivative:

  • The underlying = the movie experience
  • The derivative = the ticket (gives you the RIGHT to see the movie)
  • The ticket's value DEPENDS ON the movie's popularity

Types of Derivatives​

                    DERIVATIVES FAMILY TREE
β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ β”‚ β”‚
β”Œβ”€β”€β”€β”€β–Όβ”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”
β”‚ OPTIONS β”‚ β”‚ FUTURES β”‚ β”‚ SWAPS β”‚
β”‚ β”‚ β”‚ & FORWARDSβ”‚ β”‚ β”‚
β””β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”˜
β”‚ β”‚ β”‚
Right, not Obligation to Exchange cash
obligation buy/sell flows over time

Quick Overview​

TypeWhat It IsAnalogyTraded Where
OptionRight (not obligation) to buy/sellRestaurant reservationExchange (CBOE)
FutureObligation to buy/sell at future datePre-ordering a concert ticketExchange (CME)
ForwardSame as future, but customizedCustom order from a tailorOTC (Over-the-Counter)
SwapExchange cash flowsTrading chores with a roommateOTC

Why Do Derivatives Exist?​

Three Main Purposes​

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ β”‚
β”‚ 1️⃣ HEDGING (Insurance) β”‚
β”‚ "I want to PROTECT myself from price changes" β”‚
β”‚ β”‚
β”‚ Example: Airline buys oil futures to lock in fuel prices β”‚
β”‚ β”‚
β”‚ 2️⃣ SPECULATION (Betting) β”‚
β”‚ "I want to PROFIT from price changes" β”‚
β”‚ β”‚
β”‚ Example: Trader buys call options betting stock goes up β”‚
β”‚ β”‚
β”‚ 3️⃣ ARBITRAGE (Risk-free profit) β”‚
β”‚ "I want to exploit PRICE DIFFERENCES" β”‚
β”‚ β”‚
β”‚ Example: Buy low in one market, sell high in another β”‚
β”‚ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Futures Contracts Explained​

The Analogy: Pre-ordering a Limited Edition Sneaker πŸ‘Ÿβ€‹

You want the new Jordan sneakers releasing in 3 months at $200. You're worried the price will go up. So you sign a contract TODAY to buy them at $200 in 3 months, no matter what happens.

FUTURES CONTRACT
════════════════════════════════════════════════════════
TODAY (February):
- You AGREE to buy sneakers in May
- Price locked at $200
- Both parties MUST honor the contract

SCENARIO A: Sneakers retail for $300 in May
- You still pay $200 βœ…
- You saved $100! πŸŽ‰

SCENARIO B: Sneakers retail for $150 in May
- You still pay $200 ❌
- You lost $50 😒

════════════════════════════════════════════════════════

Real Futures Example: Oil​

Crude Oil Futures Contract (CME)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Contract Size: 1,000 barrels
Current Price: $75 per barrel
Expiry: March 2026
Contract Value: $75 Γ— 1,000 = $75,000

If oil goes to $80 at expiry:
- Long position profit: ($80-$75) Γ— 1,000 = $5,000
- Short position loss: -$5,000

If oil goes to $70 at expiry:
- Long position loss: -$5,000
- Short position profit: $5,000

πŸ”— Live Futures Prices: CME Group


Swaps Explained​

The Analogy: Trading Chores with Your Roommate πŸ β€‹

You hate washing dishes but don't mind vacuuming. Your roommate is the opposite. You SWAP:

BEFORE SWAP:
You: Dishes (hate it) + Vacuuming (okay)
Roommate: Dishes (loves it) + Vacuuming (hates it)

AFTER SWAP:
You: Vacuuming only βœ…
Roommate: Dishes only βœ…

Both are happier! This is a SWAP.

Interest Rate Swap (Most Common)​

The Big Idea: Company A has a floating rate loan. Company B has a fixed rate loan. They SWAP payments.

INTEREST RATE SWAP EXAMPLE
══════════════════════════════════════════════════════════

Company A (wants fixed rate):
- Has: Floating rate loan (changes with market)
- Worried: Rates might go UP

Company B (wants floating rate):
- Has: Fixed rate loan (stays same)
- Thinks: Rates might go DOWN

THE SWAP:
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Company A β”‚ ───Fixed 5%────► β”‚ Company B β”‚
β”‚ β”‚ ◄──Floating LIBOR──│ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Result:
- A effectively has fixed rate (what they wanted)
- B effectively has floating rate (what they wanted)
- Both pay what they prefer!

══════════════════════════════════════════════════════════

Types of Swaps​

Swap TypeWhat's ExchangedExample Use Case
Interest Rate SwapFixed vs. Floating paymentsManaging loan risk
Currency SwapDifferent currency paymentsInternational business
Credit Default Swap (CDS)Protection against defaultInsurance on bonds
Total Return SwapTotal return of an assetSynthetic ownership
Equity SwapEquity returns for fixed/floatingPortfolio management

πŸ“Š Market Size: The global swaps market is over $400 trillion in notional value!


Part 3: Options Deep Dive

Options: The Right, Not the Obligation​

The Analogy: A Non-Refundable Deposit on a House πŸ β€‹

You want to buy a house worth $500,000, but need 3 months to arrange financing. You pay the seller a $10,000 option fee to "lock in" the price.

HOUSE OPTION EXAMPLE
═══════════════════════════════════════════════════════════

You pay: $10,000 today (the "premium")
You get: The RIGHT to buy the house at $500,000 in 3 months

SCENARIO A: House value rises to $600,000
- You exercise your option
- Buy at $500,000, instantly worth $600,000
- Profit: $100,000 - $10,000 premium = $90,000 βœ…

SCENARIO B: House value falls to $400,000
- You DON'T exercise (why buy at $500K if worth $400K?)
- You lose your $10,000 premium
- Loss: $10,000 (but saved from $100,000 loss!) βœ…

SCENARIO C: You change your mind
- You don't HAVE to buy
- You just lose your $10,000 premium

═══════════════════════════════════════════════════════════

Call Options vs. Put Options​

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ β”‚
β”‚ CALL OPTION πŸ“ˆ PUT OPTION πŸ“‰ β”‚
β”‚ Right to BUY Right to SELL β”‚
β”‚ β”‚
β”‚ You're BULLISH You're BEARISH β”‚
β”‚ (think price goes UP) (think price goes DOWN) β”‚
β”‚ β”‚
β”‚ "I want to buy low "I want to sell high β”‚
β”‚ if price rises" if price falls" β”‚
β”‚ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Visual Representation​

CALL OPTION PAYOFF (Buying a Call)
β”‚
β”‚ β•±
Profit β”‚ β•±
β”‚ β•±
────────────────────┼────────●────────────────► Stock Price
β”‚ β”‚β•²
Loss β”‚ β”‚ β•² Max Loss = Premium Paid
β”‚ Strike
β”‚ Price


PUT OPTION PAYOFF (Buying a Put)
β”‚
β•² β”‚
β•² β”‚
β•² β”‚
●─────┼──────────────────────────► Stock Price
β”‚ β”‚
Strike β”‚ Max Loss = Premium Paid
Price β”‚

Options Terminology Explained​

TermDefinitionAnalogy
PremiumPrice paid for the optionThe reservation fee
Strike PricePrice at which you can buy/sellThe agreed house price
Expiration DateWhen the option expiresReservation deadline
UnderlyingThe asset the option is based onThe house itself
In-the-Money (ITM)Option has intrinsic valueHouse worth more than your price
Out-of-the-Money (OTM)Option has no intrinsic valueHouse worth less than your price
At-the-Money (ATM)Strike = Current priceHouse worth exactly your price

In/Out/At the Money Examples​

Stock trading at: $100

CALL OPTIONS:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Strike $90 β†’ IN-THE-MONEY (ITM) βœ…
You can buy at $90, sell at $100 = $10 value

Strike $100 β†’ AT-THE-MONEY (ATM) βž–
Break-even territory

Strike $110 β†’ OUT-OF-THE-MONEY (OTM) ❌
Why buy at $110 when market is $100?

PUT OPTIONS:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Strike $110 β†’ IN-THE-MONEY (ITM) βœ…
You can sell at $110, buy at $100 = $10 value

Strike $100 β†’ AT-THE-MONEY (ATM) βž–

Strike $90 β†’ OUT-OF-THE-MONEY (OTM) ❌
Why sell at $90 when market is $100?

Complete Options Example​

Apple (AAPL) Call Option​

═══════════════════════════════════════════════════════════════
AAPL CALL OPTION ANALYSIS
═══════════════════════════════════════════════════════════════

Current Stock Price: $180
Option Type: CALL
Strike Price: $185
Expiration: 30 days
Premium: $5.00 per share
Contract Size: 100 shares

TOTAL COST: $5.00 Γ— 100 = $500

═══════════════════════════════════════════════════════════════
SCENARIO ANALYSIS
═══════════════════════════════════════════════════════════════

If AAPL = $200 at expiration:
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Intrinsic Value: $200 - $185 = $15 per share β”‚
β”‚ Total Value: $15 Γ— 100 = $1,500 β”‚
β”‚ Profit: $1,500 - $500 (premium) = $1,000 βœ… β”‚
β”‚ Return: 200% πŸš€ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

If AAPL = $185 at expiration:
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Intrinsic Value: $185 - $185 = $0 β”‚
β”‚ Option expires worthless β”‚
β”‚ Loss: $500 (entire premium) ❌ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

If AAPL = $170 at expiration:
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Option expires worthless (why buy at $185 if stock is $170?)β”‚
β”‚ Loss: $500 (entire premium) ❌ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

BREAK-EVEN POINT: $185 + $5 = $190
(Stock must exceed $190 for you to profit)

═══════════════════════════════════════════════════════════════

The Greeks: Measuring Option Risk​

The Greeks tell you HOW an option's price will change when something else changes

GreekSymbolMeasuresAnalogy
DeltaΞ”Price change per $1 stock moveSpeedometer
GammaΞ“How fast delta changesAcceleration
ThetaΘTime decay per dayMelting ice
VegaVSensitivity to volatilitySensitivity to weather
RhoρSensitivity to interest ratesSensitivity to inflation

Delta Explained​

DELTA (Ξ”): How much option moves per $1 stock move
═══════════════════════════════════════════════════════════

Call Option with Delta = 0.50

Stock goes UP $1:
- Option price goes UP $0.50

Stock goes DOWN $1:
- Option price goes DOWN $0.50

═══════════════════════════════════════════════════════════

DELTA RANGES:
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ CALLS: 0 to +1.0 β”‚
β”‚ PUTS: -1.0 to 0 β”‚
β”‚ β”‚
β”‚ Deep ITM Call: Delta β‰ˆ 0.90 (moves almost like stock) β”‚
β”‚ ATM Call: Delta β‰ˆ 0.50 (moves half as much) β”‚
β”‚ Deep OTM Call: Delta β‰ˆ 0.10 (barely moves) β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Theta (Time Decay)​

THETA: Options LOSE value every day (time decay)
═══════════════════════════════════════════════════════════

Option Price: $5.00
Theta: -$0.10

Tomorrow (all else equal):
Option Price: $5.00 - $0.10 = $4.90

═══════════════════════════════════════════════════════════

TIME DECAY VISUALIZATION:

Option Value
β”‚
$10 │●
β”‚ ●
β”‚ ●
$5 β”‚ ●
β”‚ ●
β”‚ ●●●
$0 │──────────────●────────► Time
30 days 10 days Expiry

⚠️ Time decay ACCELERATES near expiration!
═══════════════════════════════════════════════════════════

πŸ”— Options Calculator: Options Profit Calculator


Basic Strategies​

StrategyWhen to UseMax ProfitMax Loss
Long CallBullishUnlimitedPremium paid
Long PutBearishStrike - PremiumPremium paid
Covered CallMildly bullishPremium + (Strike - Stock)Stock drops to zero
Protective PutOwn stock, worriedUnlimited upsidePremium paid

Intermediate Strategies​

BULL CALL SPREAD
═══════════════════════════════════════════════════════════
"Bullish but want to limit cost"

Buy: Call at lower strike ($100) - Pay $8
Sell: Call at higher strike ($110) - Receive $3
Net Cost: $5

Profit
β”‚ ╱────────
β”‚ β•±
β”‚ β•±
─────┼───●─────●─────────► Stock Price
β”‚ $100 $110
-$5 │●●●╱
β”‚

Max Profit: $10 - $5 = $5 (at $110 or above)
Max Loss: $5 (below $100)
═══════════════════════════════════════════════════════════


IRON CONDOR
═══════════════════════════════════════════════════════════
"I think stock will stay in a range"

Sell Put at $90 + Buy Put at $85 (Bull Put Spread)
Sell Call at $110 + Buy Call at $115 (Bear Call Spread)

Profit
β”‚ ●────────────●
β”‚ β•± β•²
─────┼──●────────────────●──► Stock Price
β”‚ $90 PROFIT ZONE $110
β”‚β•± β•²
● ●

Profit if stock stays between $90-$110
Loss if stock moves outside this range
═══════════════════════════════════════════════════════════

Part 4: Investment Bank Structure

How a Major Bank's Trading Floor Works​

═══════════════════════════════════════════════════════════════════
INVESTMENT BANK TRADING DIVISION
═══════════════════════════════════════════════════════════════════

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ CEO / President β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Head of Trading β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ β”‚ β”‚
β–Ό β–Ό β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ EQUITIES β”‚ β”‚ FICC β”‚ β”‚ PRIME β”‚
β”‚ β”‚ β”‚ (Fixed Income, β”‚ β”‚ BROKERAGE β”‚
β”‚ β€’ Cash Trading β”‚ β”‚ Currencies & β”‚ β”‚ β”‚
β”‚ β€’ Derivatives β”‚ β”‚ Commodities) β”‚ β”‚ β€’ Hedge Fund β”‚
β”‚ β€’ ETF/Index β”‚ β”‚ β”‚ β”‚ Services β”‚
β”‚ β€’ Program β”‚ β”‚ β€’ Rates β”‚ β”‚ β€’ Securities β”‚
β”‚ Trading β”‚ β”‚ β€’ Credit β”‚ β”‚ Lending β”‚
β”‚ β”‚ β”‚ β€’ FX β”‚ β”‚ β€’ Financing β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚ β€’ Commodities β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

═══════════════════════════════════════════════════════════════════

Equity Derivatives Desk Structure​

═══════════════════════════════════════════════════════════════════
EQUITY DERIVATIVES DESK
═══════════════════════════════════════════════════════════════════

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Head of Equity Derivs β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ β”‚ β”‚ β”‚ β”‚
β–Ό β–Ό β–Ό β–Ό β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ FLOW β”‚ β”‚ EXOTIC β”‚ β”‚ STRUCTUREDβ”‚ β”‚ QUANT β”‚ β”‚ RISK β”‚
β”‚ OPTIONS β”‚ β”‚ OPTIONS β”‚ β”‚ PRODUCTS β”‚ β”‚ RESEARCH β”‚ β”‚ MGMT β”‚
β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ β”‚
β”‚ Vanilla β”‚ β”‚ Barriersβ”‚ β”‚ Notes β”‚ β”‚ Models β”‚ β”‚ Greeks β”‚
β”‚ calls & β”‚ β”‚ Asians β”‚ β”‚ Autocalls β”‚ β”‚ Pricing β”‚ β”‚ Limits β”‚
β”‚ puts β”‚ β”‚ Lookbackβ”‚ β”‚ CLNs β”‚ β”‚ Analyticsβ”‚ β”‚ P&L β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

═══════════════════════════════════════════════════════════════════

ROLES EXPLAINED:

πŸ“Š FLOW OPTIONS (Vanilla Trading)
- Trade standard calls/puts
- High volume, lower margins
- Fast-paced, market-making

🎰 EXOTIC OPTIONS
- Complex, non-standard options
- Barriers, Asians, Lookbacks
- Higher margins, more math

πŸ“‹ STRUCTURED PRODUCTS
- Package derivatives for clients
- Autocallables, reverse convertibles
- Customized risk/return profiles

πŸ”’ QUANT RESEARCH
- Build pricing models
- Develop new products
- PhDs and Math wizards

⚠️ RISK MANAGEMENT
- Monitor Greek exposures
- Set and enforce limits
- Stress testing

═══════════════════════════════════════════════════════════════════

Day in the Life: Equity Derivatives Trader​

═══════════════════════════════════════════════════════════════════
A DAY ON THE EQUITY DERIVATIVES DESK (NYC)
═══════════════════════════════════════════════════════════════════

6:00 AM β”‚ πŸŒ… Wake up, check overnight markets
β”‚ - Asia closed, Europe opening
β”‚ - Review positions affected by overnight news
β”‚
7:00 AM β”‚ β˜• Arrive at desk, morning meeting
β”‚ - Risk review from overnight
β”‚ - Key events: earnings, economic data
β”‚
7:30 AM β”‚ πŸ“Š Pre-market preparation
β”‚ - Update pricing models
β”‚ - Review client orders
β”‚
9:30 AM β”‚ πŸ”” MARKET OPEN - Game time!
β”‚ - Execute opening trades
β”‚ - Manage flow from clients
β”‚
10:00 AM β”‚ πŸ“ž Client calls begin
β”‚ - "I want to hedge my tech exposure"
β”‚ - "Price me a 3-month put spread"
β”‚
12:00 PM β”‚ πŸ• Quick lunch at desk
β”‚ - Markets don't stop for lunch
β”‚
2:00 PM β”‚ πŸ“ˆ Afternoon trading
β”‚ - Manage gamma heading into close
β”‚ - Adjust hedges
β”‚
4:00 PM β”‚ πŸ”” MARKET CLOSE
β”‚ - End-of-day P&L
β”‚ - Position reconciliation
β”‚
5:00 PM β”‚ πŸ“‹ Risk sign-off
β”‚ - Review overnight risk
β”‚ - Handoff to Asia desk
β”‚
6:00 PM β”‚ 🏠 Head home (maybe)
β”‚ - Check markets from phone
β”‚
═══════════════════════════════════════════════════════════════════

Part 5: Real-World Examples

Case Study 1: Goldman Sachs Market Making​

How Market Making Works​

═══════════════════════════════════════════════════════════════════
MARKET MAKING: Being the "House" for Options
═══════════════════════════════════════════════════════════════════

Goldman Sachs makes markets in Apple options:

BID ASK
$4.95 ◄────SPREAD────► $5.05

"We'll BUY "We'll SELL
at $4.95" at $5.05"

Client A wants to BUY β†’ Pays $5.05 to Goldman
Client B wants to SELL β†’ Gets $4.95 from Goldman

Goldman's profit: $5.05 - $4.95 = $0.10 per share
Γ— 100 shares per contract
Γ— thousands of contracts per day
= Millions in revenue

═══════════════════════════════════════════════════════════════════

THE CATCH: Goldman now has RISK

After Client A buys:
- Goldman is SHORT the call option
- If Apple stock rockets up, Goldman loses money!

HEDGING:
- Goldman buys Apple stock (delta hedge)
- Continuously adjusts as price moves
- Goal: Capture the spread, minimize directional risk

═══════════════════════════════════════════════════════════════════

Case Study 2: JP Morgan Structured Product​

Autocallable Note Example​

═══════════════════════════════════════════════════════════════════
JP MORGAN AUTOCALLABLE NOTE ON S&P 500
═══════════════════════════════════════════════════════════════════

PRODUCT SUMMARY:
Investment: $100,000
Term: 2 years
Reference: S&P 500 (starting level: 5,000)
Coupon: 10% per year (if conditions met)
Autocall Barrier: 100% (at or above starting level)
Protection Barrier: 70% (lose principal if breached)

═══════════════════════════════════════════════════════════════════

HOW IT WORKS:

Month 6, 12, 18 (Observation Dates):
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ IF S&P 500 β‰₯ 5,000 (100%): β”‚
β”‚ β†’ Note AUTOCALLS (terminates early) β”‚
β”‚ β†’ You get: Principal + 10% Γ— (months held / 12) β”‚
β”‚ β”‚
β”‚ IF S&P 500 < 5,000: β”‚
β”‚ β†’ Note continues to next observation β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Month 24 (Final Maturity):
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ IF S&P 500 β‰₯ 3,500 (70% barrier): β”‚
β”‚ β†’ You get: Principal back ($100,000) β”‚
β”‚ β†’ Plus: Accrued coupons if any triggered β”‚
β”‚ β”‚
β”‚ IF S&P 500 < 3,500 (barrier breached): β”‚
β”‚ β†’ You get: Principal Γ— (Final Level / 5,000) β”‚
β”‚ β†’ Example: S&P at 3,000 β†’ $100,000 Γ— 0.60 = $60,000 😱 β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

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WHY CLIENTS BUY THIS:
βœ… 10% coupon in a low-yield environment
βœ… 30% downside buffer
βœ… Monthly income potential

WHY IT'S RISKY:
❌ Can lose significant principal if market crashes
❌ Capped upside (miss out if market soars)
❌ Complexity hides true risk

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Case Study 3: The 2008 Credit Derivatives Crisis​

What Happened with Credit Default Swaps​

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2008: WHEN DERIVATIVES WENT WRONG
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CREDIT DEFAULT SWAP (CDS): Insurance against bond defaults

Normal Use:
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Bank owns $100M in corporate bonds β”‚
β”‚ Worried company might default β”‚
β”‚ Buys CDS protection β†’ Pays small premium β”‚
β”‚ If default β†’ CDS seller pays Bank the $100M β”‚
β”‚ β”‚
β”‚ Like fire insurance for your bond portfolio β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

What Went Wrong:
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ 1. Banks bought CDS on mortgage bonds they didn't own β”‚
β”‚ (Speculation, not hedging) β”‚
β”‚ β”‚
β”‚ 2. AIG sold $500+ BILLION in CDS protection β”‚
β”‚ (Without enough capital to back it up) β”‚
β”‚ β”‚
β”‚ 3. When mortgages defaulted en masse: β”‚
β”‚ - Everyone wanted AIG to pay up β”‚
β”‚ - AIG couldn't pay β†’ Needed $180B government bailout β”‚
β”‚ - Lehman Brothers collapsed β”‚
β”‚ - Global financial crisis β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

LESSON:
Derivatives are tools. Like a chainsaw:
- Used properly β†’ Incredibly useful
- Used recklessly β†’ Catastrophic

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🎬 Watch: "The Big Short" (2015) - Excellent film explaining the 2008 crisis


Case Study 4: GameStop 2021 - Options Gamma Squeeze​

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GAMESTOP JANUARY 2021: Options Gone Wild
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THE SETUP:
- GameStop (GME) trading around $20
- Heavy short interest (hedge funds betting it would fall)
- Reddit's r/WallStreetBets starts buying calls

THE MECHANICS:
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Step 1: Retail traders buy massive amounts of call options β”‚
β”‚ β”‚
β”‚ Step 2: Market makers who sold calls need to hedge β”‚
β”‚ They buy GME stock (delta hedging) β”‚
β”‚ β”‚
β”‚ Step 3: Buying pressure pushes stock UP β”‚
β”‚ β”‚
β”‚ Step 4: As stock rises, call deltas increase (gamma) β”‚
β”‚ Market makers must buy MORE stock β”‚
β”‚ β”‚
β”‚ Step 5: More buying β†’ Higher price β†’ More buying β”‚
β”‚ GAMMA SQUEEZE! πŸš€ β”‚
β”‚ β”‚
β”‚ Step 6: Short sellers forced to buy to cover losses β”‚
β”‚ SHORT SQUEEZE on top of GAMMA SQUEEZE! β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

THE RESULT:
GME: $20 β†’ $483 (in about 2 weeks)
Some retail traders: Made millions
Some hedge funds: Lost billions (Melvin Capital)
Trading platforms: Restricted buying (controversy)

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Major Banks' Equity Derivatives Revenue​

Bank2024 Equities RevenueKey Strengths
Goldman Sachs~$12BMarket making, structured products
Morgan Stanley~$10BPrime brokerage, wealth management
JP Morgan~$9BDerivatives, cross-selling
Bank of America~$6BETF flow, corporate hedging
Citigroup~$4BGlobal presence, FX cross
Barclays~$3BEuropean structured products
UBS~$3BWealth management structured products
Deutsche Bank~$2BStructured products expertise

πŸ”— Bank Investor Relations:


Quick Reference Cheatsheets

Equities Cheatsheet​

TermDefinitionQuick Memory
EquityOwnership in a companyYour slice of the pizza
ShareUnit of equityOne piece of pizza
IPOFirst public stock saleGrand opening party
Market CapTotal value of all sharesFull pizza price
IndexBasket of stocksPlaylist of stocks
LongOwn/bought stockBetting it goes up
ShortBorrowed and sold stockBetting it goes down
Bull MarketRising marketπŸ‚ Horns thrust UP
Bear MarketFalling market🐻 Claws swipe DOWN
DividendCompany profit paid to shareholdersYour share of profits

Derivatives Cheatsheet​

TermDefinitionQuick Memory
DerivativeContract based on another assetConcert ticket (not the concert)
OptionRight, not obligationRestaurant reservation
FutureObligation to trade laterPre-order commitment
SwapExchange of cash flowsTrading chores
PremiumOption priceReservation fee
StrikeAgreed trade priceThe locked-in price
CallRight to BUY"Call it mine!"
PutRight to SELL"Put it away!"
ITMHas intrinsic valueGood deal right now
OTMNo intrinsic valueBad deal right now
DeltaPrice sensitivitySpeedometer
ThetaTime decayMelting ice cream
HedgeReduce riskInsurance

Learning Resources​

ResourceDescription
InvestopediaFinancial encyclopedia - start here for any term
Khan Academy FinanceFree video courses on finance basics
Options Industry CouncilFree options education
CME Group EducationFutures and derivatives learning
Corporate Finance InstituteProfessional finance courses

Market Data & News​

ResourceDescription
Yahoo FinanceFree stock quotes, news, options chains
BloombergProfessional financial news
CNBCMarket news and analysis
Financial TimesGlobal business news
Seeking AlphaInvestment research and analysis

Tools & Calculators​

ToolUse For
Options Profit CalculatorVisualize options strategies
TradingViewCharts and technical analysis
FinvizStock screener and market visualization
CBOE Options CalculatorProfessional options pricing

Books Worth Reading​

BookAuthorWhy Read It
"Options, Futures, and Other Derivatives"John C. HullThe textbook for derivatives (academic)
"The Big Short"Michael Lewis2008 crisis explained as a story
"When Genius Failed"Roger LowensteinLTCM hedge fund collapse
"Liar's Poker"Michael LewisInside 1980s Wall Street
"Flash Boys"Michael LewisHigh-frequency trading explained
"A Random Walk Down Wall Street"Burton MalkielInvestment philosophy classic

Video & Documentaries​

WatchDescription
The Big Short (2015)2008 financial crisis dramatized
Margin Call (2011)24 hours during 2008 crisis
Too Big to Fail (2011)Government's response to 2008
Inside Job (2010)Oscar-winning documentary on 2008
Billions (TV Series)Hedge fund drama

Regulatory & Data Sources​

SourceWhat You'll Find
SEC EDGARCompany filings (10-K, 10-Q, S-1)
FINRABroker regulation
OCCOptions Clearing Corporation data
ISDADerivatives market documentation
Federal ReserveInterest rates, economic data

🎯 Key Takeaways​

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WHAT TO REMEMBER FROM THIS GUIDE
═══════════════════════════════════════════════════════════════════

1. EQUITIES = Ownership
- Stocks represent ownership in companies
- Investment banks help companies go public (IPO)
- Banks make markets, provide liquidity

2. DERIVATIVES = Contracts based on something else
- Options: Right, not obligation
- Futures: Obligation
- Swaps: Exchange of cash flows

3. OPTIONS Key Concepts:
- Calls for bullish, Puts for bearish
- Premium is what you pay
- Strike is your locked-in price
- Greeks measure different risks

4. Banks play multiple roles:
- Underwriting (help companies raise money)
- Sales & Trading (execute for clients)
- Market Making (provide liquidity)
- Risk Management (protect the firm)

5. Derivatives can be used for:
- Hedging (reducing risk)
- Speculation (taking risk for profit)
- Arbitrage (exploiting price differences)

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Congratulations on completing this guide! πŸŽ‰ You now understand the fundamentals of how Wall Street's biggest banks trade equities and derivatives. Remember: the best way to learn is by doing β€” open a paper trading account and try some of these concepts yourself!

Last updated: February 2026