Correlation Between SCOR PK and Fidelity Series

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

By analyzing existing cross correlation between SCOR PK and Fidelity Series Long Term, you can compare the effects of market volatilities on SCOR PK and Fidelity Series 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 Fidelity Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCOR PK and Fidelity Series.

Diversification Opportunities for SCOR PK and Fidelity Series

0.27

Correlation Coefficient

SCOR PK  Fidelity Series

Modest diversification

The 3 months correlation between SCOR and Fidelity is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding SCOR PK and Fidelity Series Long Term in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Series Long 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 Fidelity Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Series Long has no effect on the direction of SCOR PK i.e., SCOR PK and Fidelity Series go up and down completely randomly.

Pair Corralation between SCOR PK and Fidelity Series

Assuming the 90 days horizon SCOR PK is expected to generate 4.38 times more return on investment than Fidelity Series. However, SCOR PK is 4.38 times more volatile than Fidelity Series Long Term. It trades about 0.07 of its potential returns per unit of risk. Fidelity Series Long Term is currently generating about -0.01 per unit of risk. If you would invest  248.00  in SCOR PK on December 2, 2024 and sell it today you would earn a total of  27.00  from holding SCOR PK or generate 10.89% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

SCOR PK  vs.  Fidelity Series Long Term

SCOR PK

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in SCOR PK are ranked lower than 5 (%) 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.

Fidelity Series Long

Risk-Adjusted Performance

Very Weak

Over the last 90 days Fidelity Series Long Term has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Fidelity Series 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 Fidelity Series

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

The idea behind SCOR PK and Fidelity Series Long Term 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.