Market Risk Fundamentals

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Market Risk Fundamentals 🎢

Imagine you’re on a roller coaster. Sometimes it goes up, sometimes it zooms down. You never know exactly what’s coming next. That’s what market risk feels like for banks and investors!


The Big Picture: What is Market Risk?

Market risk is the chance that you might lose money because prices in the market go up or down.

Think of it like this: You buy a toy for $10 today. Tomorrow, everyone wants that toy, so it’s worth $15! Great news! But wait… the day after, a newer toy comes out, and your toy is only worth $5 now. 😱

That’s market risk in action.

Banks and big companies face this every single day with:

  • 💵 Money from different countries (currencies)
  • 📈 Company stocks (equity)
  • ⛽ Things like oil, gold, and wheat (commodities)

Value at Risk (VaR) 📊

The “How Much Could I Lose?” Question

VaR is like a weather forecast, but for money!

Simple Example:

A bank says: “Our VaR is $1 million at 95% confidence for one day.”

What does this mean?

🌤️ “On 95 out of 100 normal days, we won’t lose more than $1 million.”

But remember — on 5 of those 100 days, we MIGHT lose more!

How VaR Works (The Ice Cream Shop Story)

Imagine you own an ice cream shop.

Day Sales
Monday $100
Tuesday $80
Wednesday $150
Thursday $70
Friday $200

You look at your worst days. Your VaR tells you: “On a bad day, expect to make only $70-$80.”

graph TD A["Collect Past Data"] --> B["Sort From Worst to Best"] B --> C["Find the 5% Worst Point"] C --> D[That's Your VaR!]

Real Bank Example: A bank holds $100 million in investments. Their VaR analysis shows:

  • 95% of the time, daily loss won’t exceed $2 million
  • They keep extra cash ready just in case!

Currency Risk 💱

When Money Changes Its Mind

You know how 1 apple doesn’t always cost the same at different stores? The same happens with money from different countries!

Story Time:

Little Emma from the USA wants to buy a toy from Japan. The toy costs 1,000 Japanese Yen.

When Exchange Rate Cost in USD
January 1 USD = 100 Yen $10
February 1 USD = 80 Yen $12.50
March 1 USD = 125 Yen $8

The toy’s Japanese price never changed! But Emma pays different amounts because currency values move like waves.

Real-World Impact

Example: A US Company Sells Cars in Europe

The company sells a car for €20,000 in Germany.

graph TD A["Sell Car: €20,000"] --> B{Exchange Rate?} B -->|1 EUR = 1.10 USD| C["Receive $22,000"] B -->|1 EUR = 0.90 USD| D["Receive $18,000"] C --> E["Happy! 😊"] D --> F["Ouch! 😟"]

$4,000 difference — just because of currency movement!


Equity Risk 📉📈

The Stock Market Roller Coaster

When you buy a piece of a company (called a “stock” or “share”), you become a tiny owner!

But here’s the catch: The price changes EVERY DAY based on:

  • 📰 News about the company
  • 🌍 What’s happening in the world
  • 😊😟 How people FEEL about the future

The Lemonade Stand Story

You buy a share in your friend’s lemonade stand for $10.

Event What Happens to Your $10 Share?
☀️ Sunny week forecast Price goes UP to $12
🌧️ Rainy week forecast Price goes DOWN to $7
🍋 Lemon shortage Price DROPS to $5
🏆 Stand wins “Best Lemonade” award Price JUMPS to $15

None of these changed how good the lemonade tastes! But people’s expectations changed the price.

Two Types of Equity Risk

  1. Company-Specific Risk: Only affects ONE company

    • Example: The CEO quits suddenly
  2. Market-Wide Risk: Affects EVERYONE

    • Example: A recession hits the whole country

Commodity Risk ⛽🌾💎

Stuff From the Earth

Commodities are real, physical things:

  • 🛢️ Oil and gas
  • 🥇 Gold and silver
  • 🌾 Wheat and corn
  • ☕ Coffee and cocoa

Why Prices Go Crazy

The Orange Juice Story:

Imagine Florida grows most of America’s oranges.

Scenario What Happens to OJ Prices?
Perfect sunny weather Prices stay LOW ⬇️
Frost destroys 40% of oranges Prices SPIKE UP ⬆️⬆️⬆️
Scientists create twice-as-fast-growing oranges Prices DROP ⬇️⬇️

Real Example: Oil Prices

graph TD A["World Events"] --> B{Oil Supply & Demand} B --> C["War in Oil-Producing Country"] B --> D["New Electric Cars = Less Oil Needed"] B --> E["Cold Winter = More Heating Oil"] C --> F["Price Goes UP"] D --> G["Price Goes DOWN"] E --> F

Banks that lend to oil companies worry: “What if oil prices crash and they can’t pay us back?”


Basis Risk 🎯

When Your Shield Has a Hole

Basis risk happens when your protection doesn’t match your problem perfectly.

The Umbrella Story

Imagine you’re worried about rain, so you buy an umbrella. But…

Your Problem Your Protection The Gap (Basis Risk)
Heavy rain in YOUR city Weather forecast for ANOTHER city Forecasts don’t match!
Rain at 3 PM Umbrella only works till 2 PM Timing doesn’t match!

Real Banking Example

A bank owns shares in Small Tech Company ABC.

They want protection, so they buy insurance tied to the Big Tech Index (like all tech companies together).

Problem: Small Tech ABC doesn’t move exactly like the Big Tech Index!

Day Big Tech Index Small Tech ABC Mismatch?
Mon -2% -5% ❌ YES
Tue +1% +3% ❌ YES
Wed -1% -1% ✅ Perfect!
graph TD A["You Own: Apple Stock"] --> B["You Buy Protection For: All Fruit Index"] B --> C{Do They Move Together?} C -->|Not Always!| D["BASIS RISK EXISTS"] C -->|Yes, Always| E["No Basis Risk"]

The gap between what you own and what you’re protected for = Basis Risk


Market Risk Hedging 🛡️

Building Your Financial Shield

Hedging = Making a backup plan so you don’t lose too much money.

Think of it like wearing a helmet when you ride a bike. You hope you won’t fall, but if you do — you’re protected!

Common Hedging Tools

Tool How It Works Example
Forward Contract Lock in a future price TODAY “I’ll buy wheat in 3 months at $5/bushel no matter what”
Options Pay a small fee for the RIGHT (not obligation) to buy/sell Like a reservation at a restaurant
Swaps Trade one type of payment for another Exchange fixed payments for variable ones

The Farmer’s Smart Move

Problem: Farmer Sarah grows wheat. She worries prices will drop before harvest.

Solution: She signs a Forward Contract

Scenario Without Hedge With Hedge
Wheat price FALLS to $4 Sarah gets $4 😟 Sarah still gets $5 🛡️
Wheat price RISES to $6 Sarah gets $6 😊 Sarah still gets $5 (missed the extra!)

Trade-off: Hedging protects from bad outcomes but might limit great outcomes!

Hedging Diagram

graph TD A["Identify Your Risk"] --> B["Choose Hedging Tool"] B --> C["Forward: Lock Price Now"] B --> D["Option: Pay for Protection"] B --> E["Swap: Exchange Cash Flows"] C --> F["Risk Reduced!"] D --> F E --> F

Putting It All Together 🧩

Banks face market risk from many directions at once:

graph TD A["MARKET RISK"] --> B["Currency Risk"] A --> C["Equity Risk"] A --> D["Commodity Risk"] B --> E["Use Hedging!"] C --> E D --> E E --> F["Measure with VaR"] F --> G["Watch for Basis Risk!"]

Quick Summary

Risk Type What Could Change? Example
Currency Exchange rates USD vs EUR moves
Equity Stock prices Apple stock drops 10%
Commodity Physical goods prices Oil spikes due to war
Basis Gap between hedge and actual Your protection doesn’t match

The Golden Rule

🌟 You can’t eliminate market risk, but you can MEASURE it (VaR) and MANAGE it (hedging)!


Remember This! 🧠

Market Risk = The chance that market prices move against you

Like that roller coaster we talked about at the start:

  • VaR tells you how scary the drop might be
  • Hedging is your safety harness
  • But sometimes the harness doesn’t fit perfectly (basis risk!)

You’re now ready to think like a risk manager! 🎉

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