Correlation Between MondayCom and Snowflake

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

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

Diversification Opportunities for MondayCom and Snowflake

0.58

Correlation Coefficient

MondayCom  Snowflake

Very weak diversification

The 3 months correlation between MondayCom and Snowflake is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding MondayCom and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and MondayCom 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 MondayCom 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 MondayCom i.e., MondayCom and Snowflake go up and down completely randomly.

Pair Corralation between MondayCom and Snowflake

Given the investment horizon of 90 days MondayCom is expected to generate 1.67 times more return on investment than Snowflake. However, MondayCom is 1.67 times more volatile than Snowflake. It trades about 0.04 of its potential returns per unit of risk. Snowflake is currently generating about 0.0 per unit of risk. If you would invest  23,544  in MondayCom on December 31, 2024 and sell it today you would earn a total of  1,157  from holding MondayCom or generate 4.91% return on investment over 90 days.

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

MondayCom  vs.  Snowflake

MondayCom

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in MondayCom are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of fairly conflicting fundamental indicators, MondayCom may actually be approaching a critical reversion point that can send shares even higher in May 2025.

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 MondayCom and Snowflake

The main advantage of trading using opposite MondayCom and Snowflake positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MondayCom 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 MondayCom 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.