Correlation Between Snowflake and Alpha Metallurgical

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Can any of the company-specific risk be diversified away by investing in both Snowflake and Alpha Metallurgical 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 Alpha Metallurgical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snowflake and Alpha Metallurgical Resources, you can compare the effects of market volatilities on Snowflake and Alpha Metallurgical 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 Alpha Metallurgical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snowflake and Alpha Metallurgical.

Diversification Opportunities for Snowflake and Alpha Metallurgical

0.52
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Snowflake and Alpha is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Snowflake and Alpha Metallurgical Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alpha Metallurgical 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 Alpha Metallurgical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alpha Metallurgical has no effect on the direction of Snowflake i.e., Snowflake and Alpha Metallurgical go up and down completely randomly.

Pair Corralation between Snowflake and Alpha Metallurgical

Given the investment horizon of 90 days Snowflake is expected to generate 2.66 times more return on investment than Alpha Metallurgical. However, Snowflake is 2.66 times more volatile than Alpha Metallurgical Resources. It trades about 0.28 of its potential returns per unit of risk. Alpha Metallurgical Resources is currently generating about 0.31 per unit of risk. If you would invest  11,733  in Snowflake on August 28, 2024 and sell it today you would earn a total of  5,409  from holding Snowflake or generate 46.1% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Snowflake  vs.  Alpha Metallurgical Resources

 Performance 
       Timeline  
Snowflake 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of fairly inconsistent basic indicators, Snowflake showed solid returns over the last few months and may actually be approaching a breakup point.
Alpha Metallurgical 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Alpha Metallurgical Resources are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Even with relatively unsteady primary indicators, Alpha Metallurgical may actually be approaching a critical reversion point that can send shares even higher in December 2024.

Snowflake and Alpha Metallurgical Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Snowflake and Alpha Metallurgical

The main advantage of trading using opposite Snowflake and Alpha Metallurgical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snowflake position performs unexpectedly, Alpha Metallurgical 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 Alpha Metallurgical will offset losses from the drop in Alpha Metallurgical's long position.
The idea behind Snowflake and Alpha Metallurgical Resources 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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