Correlation Between JPMorgan Chase and Snowflake

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both JPMorgan Chase 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 JPMorgan Chase and Snowflake into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JPMorgan Chase Co and Snowflake, you can compare the effects of market volatilities on JPMorgan Chase 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 JPMorgan Chase with a short position of Snowflake. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPMorgan Chase and Snowflake.

Diversification Opportunities for JPMorgan Chase and Snowflake

0.76
  Correlation Coefficient

Poor diversification

The 3 months correlation between JPMorgan and Snowflake is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Chase Co and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and JPMorgan Chase 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 JPMorgan Chase Co 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 JPMorgan Chase i.e., JPMorgan Chase and Snowflake go up and down completely randomly.

Pair Corralation between JPMorgan Chase and Snowflake

Considering the 90-day investment horizon JPMorgan Chase is expected to generate 3.71 times less return on investment than Snowflake. But when comparing it to its historical volatility, JPMorgan Chase Co is 2.6 times less risky than Snowflake. It trades about 0.19 of its potential returns per unit of risk. Snowflake is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest  11,899  in Snowflake on August 31, 2024 and sell it today you would earn a total of  5,471  from holding Snowflake or generate 45.98% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

JPMorgan Chase Co  vs.  Snowflake

 Performance 
       Timeline  
JPMorgan Chase 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in JPMorgan Chase Co are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of very unsteady basic indicators, JPMorgan Chase displayed solid returns over the last few months and may actually be approaching a breakup point.
Snowflake 

Risk-Adjusted Performance

14 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak basic indicators, Snowflake showed solid returns over the last few months and may actually be approaching a breakup point.

JPMorgan Chase and Snowflake Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with JPMorgan Chase and Snowflake

The main advantage of trading using opposite JPMorgan Chase and Snowflake positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPMorgan Chase 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 JPMorgan Chase Co 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

Other Complementary Tools

Bond Analysis
Evaluate and analyze corporate bonds as a potential investment for your portfolios.
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets