Correlation Between Snowflake and Kubient

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

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

Diversification Opportunities for Snowflake and Kubient

0.0

Correlation Coefficient

Snowflake  Kubient

Pay attention - limited upside

The 3 months correlation between Snowflake and Kubient is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Snowflake and Kubient in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kubient and Snowflake 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 Snowflake are associated (or correlated) with Kubient. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kubient has no effect on the direction of Snowflake i.e., Snowflake and Kubient go up and down completely randomly.

Pair Corralation between Snowflake and Kubient

If you would invest (100.00) in Kubient on October 1, 2024 and sell it today you would earn a total of  100.00  from holding Kubient or generate -100.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

Snowflake  vs.  Kubient

Snowflake

Risk-Adjusted Performance

0 of 100

Good

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 current stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Kubient

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Kubient has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Kubient is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Snowflake and Kubient

The main advantage of trading using opposite Snowflake and Kubient positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snowflake position performs unexpectedly, Kubient 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 Kubient will offset losses from the drop in Kubient's long position.

The idea behind Snowflake and Kubient 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.