Diversification is protection against ignorance. It makes little sense if you know what you are doing. -Buffett

“Diversification is like a seatbelt, while concentrated investing is a skillful maneuver.”

Right now, I’m still in the learning-to-drive stage, so it makes total sense to keep the seatbelt (diversification) on.

Once I truly learn to think like a business owner — understanding companies, analyzing their moats, and valuing them properly — then I can start practicing concentrated bets.

So for now, I’m still happily investing in index funds, haha.

The marginal benefit: The benefit of adding an asset to a portfolio will decrease as you increase the number of assets in your portfolio.

Capital Asset Pricing Model (CAPM)


🌊 What’s the Risk That Really Matters?

When you invest in a stock (say, Apple), what risk should you care about?

Not how volatile Apple is on its own…
But how much extra risk it adds to your entire portfolio — especially the market portfolio.


🔄 Why? Because…

You can eliminate company-specific risk through diversification (as we said earlier).
But the risk that can’t be diversified away — the market-related risk — is what matters.


We use something called Beta

Think of beta as:

“How much does this stock move with the market?”

  • If beta = 1 → the stock moves just like the market.

  • If beta = 0.5 → it moves half as much as the market.

  • If beta = 0 → it doesn’t move with the market at all.

  • If beta = -1 → it moves opposite the market (rare).

This is why beta is sometimes called a measure of sensitivity to market swings.


💰 So what return should you expect?

If you take more risk, you should expect more return, right?

That’s where this idea comes in:

The more market risk (beta) an asset has, the higher the return you should demand.

This is exactly what the CAPM formula tells us:


📊 Plain-English version of the CAPM:

Expected Return = Safe return (T-Bill) + Extra reward for taking market risk

And how much “extra reward”? That depends on:

  • How risky the market is (called the market risk premium)

  • And how “sensitive” your stock is to that market risk (beta)


✅ Quick Example:

Imagine:

  • Risk-free rate = 2% (a T-Bill)

  • Market return = 8%

  • Beta of a stock = 1.5

Then you’d expect:

2% (safe) + 1.5 × (6% extra market reward) = 11% expected return

So you’d only want to buy that stock if you believe you’ll earn at least 11% over time — otherwise it’s not worth the risk.


🧠 Why this matters to you:

  • CAPM helps you decide what return is fair for a stock, based on its risk.

  • If the price of a stock implies a lower return than CAPM suggests, it might be overvalued.

  • If it implies a higher return, it might be undervalued — that’s where value investing begins.


Alternatives to the CAPM


🔧 1. Modified CAPM

These models still use the basic CAPM logic, but relax some of its strict assumptions.

  • For example, they might allow for:

    • Taxes (since investors don’t get to keep 100% of their returns)

    • Transaction costs (which exist in the real world)

    • Different beliefs about the future (instead of everyone agreeing)

Think of this as: “Still CAPM, but more realistic.”


🌍 2. Extended Versions (More Risk Factors)

➤ a) Arbitrage Pricing Theory (APT)

  • This model says: “There isn’t just one market risk factor — there could be many.”

  • But it doesn’t name them — it just assumes they exist and affect returns.

  • It’s built using statistics to find patterns in how returns move together.

APT is like saying: “Returns are influenced by mystery forces — we can’t name them, but we know they’re there.”


➤ b) Multifactor Models

  • These go one step further: They try to name the risk factors.

  • Common examples:

    • Interest rates

    • Inflation

    • GDP growth

    • Oil prices

    • Credit spreads

These models ask: “What big-picture things move the market?”
And then they say: “Let’s build a model around those.”

Famous example: The Fama-French Three-Factor Model:

  • Adds two extra factors to the market:

    • Size (small vs. large companies)

    • Value (cheap vs. expensive stocks)


🔍 3. Proxy Models

  • These don’t try to build a perfect theory.

  • Instead, they say:

    “Let’s just look at what has worked in the past — what kinds of stocks earned higher returns?”

  • Then we use those characteristics as proxies (stand-ins) for risk.

Common proxies:

  • Low price-to-earnings (P/E) ratio

  • High dividend yield

  • Low price-to-book (P/B) ratio

  • High past earnings growth

This approach is very data-driven and is often used by quantitative investors and factor-based funds.


🧠 Summary Table:

Model TypeKey Idea
CAPMOne market risk, simple logic
Modified CAPMCAPM + real-world frictions (taxes, costs)
APTMany unnamed risk factors (statistical)
Multifactor ModelsMany named macroeconomic risks
Proxy ModelsUse past return patterns as stand-ins for risk

🧠 What Is the Question Really Asking?

What assumption must we make in order to say: “Only non-diversifiable (market) risk will be reflected in the stock’s price”?

In other words:

Why do we believe that only big-picture risk, like recessions or inflation, affects the return investors demand — and not smaller, company-specific stuff like “Will this CEO quit?” or “Will this product fail?”


🎯 The Key Concept:

In modern finance (like the CAPM), we assume:

  • Some risk can be eliminated (by owning lots of stocks — diversification)

  • Some risk cannot be eliminated (like recessions, interest rate hikes, etc.)

  • The only risk investors should be compensated for is the risk they can’t avoid (market-wide risk)

This is how we justify using beta (market risk) in the cost of equity.


🧩 So the question is really asking:

What must we believe about the investors who are setting stock prices for this idea to make sense?


✅ The correct answer:

c. That investors who hold large stakes in the company, and trade them, are diversified.

Why?

  • These are the marginal investors — the ones whose actions set stock prices.

  • If they’re diversified, they don’t care about company-specific risks (because those risks cancel out in a big portfolio).

  • So, only market-wide risks will matter to them — and therefore only those risks get “priced in.”


🗣 Put simply:

The market only cares about the risks that matter to the people setting prices.
And if those people don’t care about company-specific risk (because they’re diversified), then only market-wide risk gets reflected in required returns.