Correlation Between SCOR PK and Federated
Can any of the company-specific risk be diversified away by investing in both SCOR PK and Federated 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 Federated into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SCOR PK and Federated U S, you can compare the effects of market volatilities on SCOR PK and Federated 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 Federated. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCOR PK and Federated.
Diversification Opportunities for SCOR PK and Federated
Very good diversification
The 3 months correlation between SCOR and Federated is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding SCOR PK and Federated U S in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated U S 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 Federated. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated U S has no effect on the direction of SCOR PK i.e., SCOR PK and Federated go up and down completely randomly.
Pair Corralation between SCOR PK and Federated
Assuming the 90 days horizon SCOR PK is expected to generate 26.28 times more return on investment than Federated. However, SCOR PK is 26.28 times more volatile than Federated U S. It trades about 0.01 of its potential returns per unit of risk. Federated U S is currently generating about 0.14 per unit of risk. If you would invest 265.00 in SCOR PK on September 13, 2024 and sell it today you would lose (9.00) from holding SCOR PK or give up 3.4% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
SCOR PK vs. Federated U S
Performance |
| Timeline |
| SCOR PK |
| Federated U S |
SCOR PK and Federated Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SCOR PK and Federated
The main advantage of trading using opposite SCOR PK and Federated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCOR PK position performs unexpectedly, Federated 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 Federated will offset losses from the drop in Federated's long position.The idea behind SCOR PK and Federated U S 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.| Federated vs. Federated Emerging Market | Federated vs. Federated Mdt All | Federated vs. Federated Mdt Balanced | Federated vs. Federated Global Allocation |
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 Stocks Directory module to find actively traded stocks across global markets.
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