Correlation Between Matterport and Snowflake

Can any of the company-specific risk be diversified away by investing in both Matterport 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 Matterport and Snowflake into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Matterport and Snowflake, you can compare the effects of market volatilities on Matterport 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 Matterport with a short position of Snowflake. Check out your portfolio center. Please also check ongoing floating volatility patterns of Matterport and Snowflake.

Diversification Opportunities for Matterport and Snowflake

0.57

Correlation Coefficient

Matterport  Snowflake

Very weak diversification

The 3 months correlation between Matterport and Snowflake is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Matterport and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and Matterport 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 Matterport 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 Matterport i.e., Matterport and Snowflake go up and down completely randomly.

Pair Corralation between Matterport and Snowflake

Given the investment horizon of 90 days Matterport is expected to generate 4.15 times less return on investment than Snowflake. But when comparing it to its historical volatility, Matterport is 2.82 times less risky than Snowflake. It trades about 0.12 of its potential returns per unit of risk. Snowflake is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest  11,175  in Snowflake on September 5, 2024 and sell it today you would earn a total of  6,419  from holding Snowflake or generate 57.44% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	98.44%
Values	Daily Returns

Matterport  vs.  Snowflake

Matterport

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Matterport are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Even with relatively abnormal basic indicators, Matterport may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Snowflake

Risk-Adjusted Performance

14 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. In spite of fairly uncertain basic indicators, Snowflake showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Matterport and Snowflake

The main advantage of trading using opposite Matterport and Snowflake positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Matterport 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 Matterport 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.

Check out your portfolio center.

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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.