Correlation Between Digital Turbine and Snowflake

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

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

Diversification Opportunities for Digital Turbine and Snowflake

0.5

Correlation Coefficient

Digital Turbine  Snowflake

Very weak diversification

The 3 months correlation between Digital and Snowflake is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Digital Turbine and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and Digital Turbine 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 Digital Turbine 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 Digital Turbine i.e., Digital Turbine and Snowflake go up and down completely randomly.

Pair Corralation between Digital Turbine and Snowflake

Given the investment horizon of 90 days Digital Turbine is expected to generate 4.9 times more return on investment than Snowflake. However, Digital Turbine is 4.9 times more volatile than Snowflake. It trades about 0.1 of its potential returns per unit of risk. Snowflake is currently generating about 0.0 per unit of risk. If you would invest  182.00  in Digital Turbine on December 30, 2024 and sell it today you would earn a total of  102.00  from holding Digital Turbine or generate 56.04% return on investment over 90 days.

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

Digital Turbine  vs.  Snowflake

Digital Turbine

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Digital Turbine are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively conflicting basic indicators, Digital Turbine unveiled solid returns over the last few months and may actually be approaching a breakup point.

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 Digital Turbine and Snowflake

The main advantage of trading using opposite Digital Turbine and Snowflake positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Digital Turbine 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 Digital Turbine 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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..