Correlation Between Snowflake and ARCA Oil
Can any of the company-specific risk be diversified away by investing in both Snowflake and ARCA Oil 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 ARCA Oil into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snowflake and ARCA Oil, you can compare the effects of market volatilities on Snowflake and ARCA Oil 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 ARCA Oil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snowflake and ARCA Oil.
Diversification Opportunities for Snowflake and ARCA Oil
Very good diversification
The 3 months correlation between Snowflake and ARCA is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Snowflake and ARCA Oil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ARCA Oil 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 ARCA Oil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ARCA Oil has no effect on the direction of Snowflake i.e., Snowflake and ARCA Oil go up and down completely randomly.
Pair Corralation between Snowflake and ARCA Oil
Given the investment horizon of 90 days Snowflake is expected to generate 2.2 times more return on investment than ARCA Oil. However, Snowflake is 2.2 times more volatile than ARCA Oil. It trades about -0.18 of its potential returns per unit of risk. ARCA Oil is currently generating about -0.47 per unit of risk. If you would invest 17,480 in Snowflake on September 29, 2024 and sell it today you would lose (1,615) from holding Snowflake or give up 9.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Snowflake vs. ARCA Oil
Performance |
Timeline |
Snowflake and ARCA Oil Volatility Contrast
Predicted Return Density |
Returns |
Snowflake
Pair trading matchups for Snowflake
ARCA Oil
Pair trading matchups for ARCA Oil
Pair Trading with Snowflake and ARCA Oil
The main advantage of trading using opposite Snowflake and ARCA Oil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snowflake position performs unexpectedly, ARCA Oil 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 ARCA Oil will offset losses from the drop in ARCA Oil's long position.The idea behind Snowflake and ARCA Oil 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.ARCA Oil vs. Lipocine | ARCA Oil vs. Saia Inc | ARCA Oil vs. Uber Technologies | ARCA Oil vs. TFI International |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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