Correlation Between JPMorgan Chase and Data Knights

Can any of the company-specific risk be diversified away by investing in both JPMorgan Chase and Data Knights 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 Data Knights 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 Data Knights Acquisition, you can compare the effects of market volatilities on JPMorgan Chase and Data Knights 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 Data Knights. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPMorgan Chase and Data Knights.

Diversification Opportunities for JPMorgan Chase and Data Knights

0.73

Correlation Coefficient

JPMorgan Chase  Data Knights

Poor diversification

The 3 months correlation between JPMorgan and Data is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Chase Co and Data Knights Acquisition in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data Knights Acquisition 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 Data Knights. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data Knights Acquisition has no effect on the direction of JPMorgan Chase i.e., JPMorgan Chase and Data Knights go up and down completely randomly.

Pair Corralation between JPMorgan Chase and Data Knights

If you would invest  20,659  in JPMorgan Chase Co on September 15, 2024 and sell it today you would earn a total of  3,335  from holding JPMorgan Chase Co or generate 16.14% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	1.56%
Values	Daily Returns

JPMorgan Chase Co  vs.  Data Knights Acquisition

JPMorgan Chase

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in JPMorgan Chase Co are ranked lower than 10 (%) 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.

Data Knights Acquisition

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Data Knights Acquisition has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong fundamental indicators, Data Knights is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with JPMorgan Chase and Data Knights

The main advantage of trading using opposite JPMorgan Chase and Data Knights positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPMorgan Chase position performs unexpectedly, Data Knights 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 Data Knights will offset losses from the drop in Data Knights' long position.

The idea behind JPMorgan Chase Co and Data Knights Acquisition 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 Global Correlations module to find global opportunities by holding instruments from different markets.