S&P 500’s 7 Shooting Stars

  • July 22, 2024
  • Posted by: OptimizeIAS Team
  • Category: DPN Topics
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S&P 500’s 7 Shooting Stars

Sub: Eco

Sec : Capital markets

High Interest Rates and Stock Performance:

  • Typical Correlation: Historically high interest rates are generally associated with poor stock performance.
    • Reason: Higher interest rates lead to higher borrowing costs and lower business profits.
    • Risk-Free Rate Impact: As the risk-free rate rises, the expected return on equities also rises, adding downward pressure on stock prices.

Current Scenario:

  • Unusual Trend: Despite a rise in U.S. interest rates to 5.5% (the highest in over 20 years), the S&P 500 has shown a remarkable return of 24.5% over the past 12 months.
  • Key Drivers: This unexpected performance is driven primarily by the “magnificent seven” tech giants: Nvidia, Microsoft, Apple, Alphabet, Amazon, Meta, and Tesla.

Performance Analysis:

  • Magnificent Seven:
    • Nvidia: Posted an extraordinary rally of over 172% in the past year.
    • Meta: Achieved a 59% increase.
    • Amazon: Saw a 45% increase.
    • Alphabet: Recorded a 50.5% increase.
  • Overall Impact: These companies significantly inflated the S&P 500’s overall return.

S&P 500 vs. S&P 500 Equal Weight Index:

  • Equal Weight Index: This index, which gives equal weight to all constituents regardless of market cap, posted a more modest return of 10.7%.
  • Weighting Methodology:
    • Free-Float Market Capitalisation-Weighted: The S&P 500 gives more weight to companies with larger market caps.
    • Positive Feedback Loop: Successful companies attract more passive investment flows, further boosting their stock prices.

Sector Performance:

  • Lagging Sectors: Most sectors, particularly those dependent on interest rate cycles like real estate, posted poor returns.
  • Tech and AI Focus: Chip-making and technology companies have outperformed due to the positive attention surrounding artificial intelligence (AI).

AI Investment Caution:

  • Critical Questions: Despite advancements in generative AI, investors should exercise caution.
    • High Costs: AI capacity is expensive to build, implement, and run.
    • Lack of Network Effects: Unlike social media platforms, AI does not currently benefit from network effects.
    • Uncertain Use Cases: The actual use case and long-term value proposition of AI technology remain unclear.
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