Correlation Between SCOR PK and Jpmorgan E

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

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

Diversification Opportunities for SCOR PK and Jpmorgan E

-0.31

Correlation Coefficient

SCOR PK  Jpmorgan E

Very good diversification

The 3 months correlation between SCOR and Jpmorgan is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding SCOR PK and Jpmorgan E Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jpmorgan E Bond and SCOR PK 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 SCOR PK are associated (or correlated) with Jpmorgan E. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jpmorgan E Bond has no effect on the direction of SCOR PK i.e., SCOR PK and Jpmorgan E go up and down completely randomly.

Pair Corralation between SCOR PK and Jpmorgan E

Assuming the 90 days horizon SCOR PK is expected to generate 8.96 times more return on investment than Jpmorgan E. However, SCOR PK is 8.96 times more volatile than Jpmorgan E Bond. It trades about 0.01 of its potential returns per unit of risk. Jpmorgan E Bond is currently generating about 0.05 per unit of risk. If you would invest  273.00  in SCOR PK on September 13, 2024 and sell it today you would lose (17.00) from holding SCOR PK or give up 6.23% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.39%
Values	Daily Returns

SCOR PK  vs.  Jpmorgan E Bond

SCOR PK

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in SCOR PK are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak basic indicators, SCOR PK showed solid returns over the last few months and may actually be approaching a breakup point.

Jpmorgan E Bond

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Jpmorgan E Bond has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Jpmorgan E is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with SCOR PK and Jpmorgan E

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

The idea behind SCOR PK and Jpmorgan E Bond 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.