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Tesla (TSLA) vs Nvidia (NVDA)

Live side-by-side comparison with current values, changes, and key statistics.

Equity Stockdaily
Tesla (TSLA)

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Equity Stockdaily
Nvidia (NVDA)

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Why This Comparison Matters

Tesla and Nvidia are the most retail-sensitive and highest-beta mega caps, but they capture different themes. NVDA leading TSLA reflects AI capex dominance. TSLA leading NVDA signals broader retail speculative risk-on, typical of late-cycle blow-off phases or political narratives.

Cross-Asset Analysis

Tesla (TSLA) captures tesla Inc., electric vehicle and energy company, high retail sentiment indicator, whereas Nvidia (NVDA) reflects nvidia Corp., the AI/GPU chip leader driving the AI capex cycle, and the difference between how they move is what the peer pair relationship is really about. Performance attribution leans on Tesla (TSLA)-Nvidia (NVDA) spreads to separate security selection from style allocation inside multi-manager mandates. Liquidity differences between Tesla (TSLA) and Nvidia (NVDA) produce asymmetric spread moves during risk-off episodes.

Corporate action events, including buybacks or spin-offs affecting constituents of Tesla (TSLA) or Nvidia (NVDA), can distort the spread relative to its intended factor tilt. Tesla (TSLA) and Nvidia (NVDA) occupy the same asset class, and the relative performance between them isolates the specific factor that distinguishes one from the other. The Tesla (TSLA)-Nvidia (NVDA) spread captures the tilt between two variants of the same asset: one may be more defensive, one more cyclical.

Structural changes inside Tesla (TSLA) or Nvidia (NVDA), such as index reconstitution or methodology shifts, can break historical spread relationships in discrete jumps. Idiosyncratic events in a concentrated peer, such as a single mega-cap earnings miss inside Tesla (TSLA), can move the Tesla (TSLA)-Nvidia (NVDA) spread without broader factor signal.

90-Day Statistics

Tesla (TSLA)

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Nvidia (NVDA)

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Frequently Asked Questions

What is the relationship between Tesla (TSLA) and Nvidia (NVDA)?+

Tesla (TSLA) and Nvidia (NVDA) are connected through shared asset class exposure with different factor tilts. When the underlying asset class shifts, both respond, though with different sensitivities and at different speeds. The spread between Tesla (TSLA) and Nvidia (NVDA) captures the specific macro signal that flows through this relationship.

When does Tesla (TSLA) typically lead Nvidia (NVDA)?+

Tesla (TSLA) tends to lead Nvidia (NVDA) during rotation episodes between the two factor exposures. In those periods, moves in Tesla (TSLA) precede corresponding moves in Nvidia (NVDA) by days to weeks, depending on the transmission channel and the depth of each market.

How are Tesla (TSLA) and Nvidia (NVDA) historically correlated?+

Long-run correlation between Tesla (TSLA) and Nvidia (NVDA) varies by regime. Peers in the same asset class are highly correlated in direction, with the spread reflecting factor tilts and rotation dynamics. The correlation is not stable: it shifts with macro conditions, and the periods when it breaks down are often the most informative moments in the Tesla (TSLA)-Nvidia (NVDA) relationship.

What macro conditions drive divergence between Tesla (TSLA) and Nvidia (NVDA)?+

Divergence between Tesla (TSLA) and Nvidia (NVDA) typically arises from index reconstitution, mega-cap earnings surprises, or liquidity differences between the peers. When one asset's idiosyncratic drivers dominate, the spread moves in ways that the common macro story does not predict, which is usually a signal to look more carefully at the specific drivers at work in Tesla (TSLA) or Nvidia (NVDA).

Is Tesla (TSLA) a hedge for Nvidia (NVDA)?+

Peers like Tesla (TSLA) and Nvidia (NVDA) do not hedge each other; both rise or fall with the shared asset class, and using the pair as a spread trade is different from using it as a hedge. Effective hedging requires matching the hedge to the specific risk being protected, and the Tesla (TSLA)-Nvidia (NVDA) pair is best stress-tested under scenarios the investor most worries about before being sized into a real portfolio.

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Data sourced from FRED, CoinGecko, CBOE, and other providers. This page is for informational purposes only and does not constitute financial advice. Past performance does not guarantee future results.