Correlation Between HubSpot and Snowflake

Can any of the company-specific risk be diversified away by investing in both HubSpot and Snowflake at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining HubSpot and Snowflake into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between HubSpot and Snowflake, you can compare the effects of market volatilities on HubSpot and Snowflake and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in HubSpot with a short position of Snowflake. Check out your portfolio center. Please also check ongoing floating volatility patterns of HubSpot and Snowflake.

Diversification Opportunities for HubSpot and Snowflake

0.88

Correlation Coefficient

HubSpot  Snowflake

Very poor diversification

The 3 months correlation between HubSpot and Snowflake is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding HubSpot and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and HubSpot is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on HubSpot are associated (or correlated) with Snowflake. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Snowflake has no effect on the direction of HubSpot i.e., HubSpot and Snowflake go up and down completely randomly.

Pair Corralation between HubSpot and Snowflake

Given the investment horizon of 90 days HubSpot is expected to under-perform the Snowflake. But the stock apears to be less risky and, when comparing its historical volatility, HubSpot is 1.18 times less risky than Snowflake. The stock trades about -0.11 of its potential returns per unit of risk. The Snowflake is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest  15,497  in Snowflake on December 30, 2024 and sell it today you would lose (434.00) from holding Snowflake or give up 2.8% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	100.0%
Values	Daily Returns

HubSpot  vs.  Snowflake

HubSpot

Risk-Adjusted Performance

Very Weak

Over the last 90 days HubSpot has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of abnormal performance in the last few months, the Stock's fundamental drivers remain comparatively stable which may send shares a bit higher in April 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Snowflake

Risk-Adjusted Performance

Very Weak

Over the last 90 days Snowflake has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly stable basic indicators, Snowflake is not utilizing all of its potentials. The recent stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Pair Trading with HubSpot and Snowflake

The main advantage of trading using opposite HubSpot and Snowflake positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HubSpot position performs unexpectedly, Snowflake can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Snowflake will offset losses from the drop in Snowflake's long position.

The idea behind HubSpot and Snowflake pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.