What Is Regression Beta?

We ran a regression analysis on STC’s stock returns vs. TASI—the results reveal crucial insights about market risk in Saudi Arabia.

Understanding Regression Beta

Regression beta measures the sensitivity of a stock’s returns compared to the overall market. It’s calculated using historical stock and market returns:

Formula:
β=Covariance (Stock, Market)Variance (Market)\beta = \frac{\text{Covariance (Stock, Market)}}{\text{Variance (Market)}}

How to Interpret Beta:

    • β = 1: Moves in tandem with market
    • β > 1: Higher volatility than market
    • β < 1: Defensive, less volatile
    • β < 0: Rare, inversely correlated

📊 Case Study: Saudi Telecom Company (STC)

Overview:

    • Stock: STC (7010.SR)
    • Market Index: Tadawul All Share Index (TASI)
    • Period: 60 months (monthly returns)
    • Data Sources: Tadawul, Google Finance, Investing.com
    • Tool: Excel Regression (LINEST function)

📊 STC Regression Beta Results

Metric

Value

Interpretation

Beta (Slope)

0.683

Less volatile than the market (defensive stock)

Alpha (Intercept)

-0.0016

Slight underperformance

R² (Goodness of Fit)

0.354

35% of return variance explained by market

CAPM Expected Return

8.24%

With risk-free rate 5.17%, ERP 4.5%

  • 📈 Visual Representation

📌 Strategic Takeaways

    • STC’s beta below 1 reflects its stable, telecom-driven revenue, positioning it as a defensive investment.
    • Investors seeking lower volatility may find STC attractive for Saudi portfolios.
    • Incorporate this beta in your Weighted Average Cost of Capital (WACC) calculations, adjusting leverage if necessary.

⚠️ Common Pitfalls in Beta Calculation

    • Avoid short timeframes that introduce noise.
    • Always use total returns, inclusive of dividends.
    • Confirm the reliability with R² before trusting your beta value.
    • Contextualize your data and understand underlying business dynamics.

Want the full Excel model?

Gain access to the exact Excel file used in this analysis, including formulas, trendlines, and return data.

🧐 Final Thoughts

Calculating beta doesn’t need complexity—it requires clarity. STC’s regression clearly demonstrates that precise modeling empowers smarter investment decisions.

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