**📅 Date:** ➤ ⌈ [[2025-03-05-Wed〚Consciousness ▪Alpha & Beta Return〛]]⌋
**💭 Note:**
➤ People risk in the investment #👾/Comment When evaluating an investment, product, or information source, consider the incentives of the “seller.” Are you making a decision that truly aligns with your interests, or are you being guided by the agenda of the provider? Just as asset managers prioritize alpha returns to justify their expertise—while ETFs passively track indices with lower fees—understanding **who benefits most** from your choice is key to making informed, unbiased decisions.
➤ Conflicts of interest
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## I.📌 What Are Alpha (α) and Beta (β) in Investing?
**Alpha (α) and Beta (β)** are key metrics in **portfolio management** used to evaluate an investment’s performance relative to risk.
- **Alpha (α) = Measures performance beyond market expectations (skill-based excess return).**
- **Beta (β) = Measures an asset’s volatility compared to the overall market (systematic risk).**
📌 **Key Concept**:
✔ **Beta** tells us how **risky** an asset is compared to the market.
✔ **Alpha** tells us whether an investment has **outperformed its risk-adjusted expected return**.
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## II.🔹 Beta (β) – Measuring Market Risk
Beta measures an asset’s **sensitivity to market movements** using the **Capital Asset Pricing Model (CAPM)**.
### **How Beta Works**
- **β = 1** → Moves **in sync** with the market.
- **β > 1** → **More volatile** than the market (higher risk & potential return).
- **β < 1** → **Less volatile** than the market (lower risk & return).
- **β < 0** → Moves **opposite** to the market (hedging assets like gold).
📌 **Example:**
- A stock with **β = 1.3** → If the market rises by **10%**, the stock is expected to rise by **13%**.
- A bond with **β = 0.5** → If the market falls by **10%**, the bond may only fall by **5%**.
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## III. 🔹 Alpha (α) – Measuring Excess Return
Alpha measures **how much an investment has outperformed or underperformed** compared to its risk-adjusted expected return.
### **Alpha Formula**
- **α > 0** → The asset **outperformed** expectations (positive alpha).
- **α < 0** → The asset **underperformed** expectations (negative alpha).
- **α = 0** → The asset performed **exactly as expected** based on its risk level.
📌 **Example:**
- A hedge fund with **α = +2%** means the fund manager **generated an extra 2% return** beyond market expectations.
- A mutual fund with **α = -1.5%** means it **underperformed the market by 1.5%**.
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## **🔹 Alpha & Beta in Portfolio Management**
| **Metric** | **What It Measures** | **Key Insights** |
|------------|----------------------|------------------|
| **Alpha (α)** | **Excess return over expected market return** | Measures **investment skill & strategy** |
| **Beta (β)** | **Market risk exposure** | Measures **systematic risk & volatility** |
✔ **High Beta (β) assets** are great for **aggressive growth investors**.
✔ **Low Beta (β) assets** are safer for **risk-averse investors**.
✔ **High Alpha (α) investments** indicate **superior performance** beyond market trends.
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### Comment Form the lesson:
Asset managers, especially those in active management, are **incentivized to generate alpha returns**—returns that outperform the market benchmark. The **7:3 bonus structure** reflects this priority, as most of their compensation is tied to excess returns rather than just tracking the market. This is why **top asset managers aggressively seek skilled talent**, particularly in hedge funds, private equity, and active equity funds. The pressure to generate **alpha consistently** creates a competitive environment, leading to **high salaries, performance-based incentives, and a strong focus on proprietary research & trading strategies**.
In contrast, **ETFs (Exchange-Traded Funds)** are primarily designed to **track a market index (beta return)** rather than generate excess returns. **Passive ETFs simply replicate index movements** with lower costs, while **active ETFs** may attempt to outperform, but with lower fees and less discretion than traditional asset managers. Since **ETFs prioritize cost efficiency**, they do not need the same level of top-tier talent or complex investment strategies.