Correlation Between SCOR PK and FT Cboe

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

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

Diversification Opportunities for SCOR PK and FT Cboe

0.82

Correlation Coefficient

SCOR PK  FT Cboe

Very poor diversification

The 3 months correlation between SCOR and FNOV is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding SCOR PK and FT Cboe Vest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FT Cboe Vest 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 FT Cboe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FT Cboe Vest has no effect on the direction of SCOR PK i.e., SCOR PK and FT Cboe go up and down completely randomly.

Pair Corralation between SCOR PK and FT Cboe

Assuming the 90 days horizon SCOR PK is expected to generate 1.54 times less return on investment than FT Cboe. In addition to that, SCOR PK is 8.7 times more volatile than FT Cboe Vest. It trades about 0.01 of its total potential returns per unit of risk. FT Cboe Vest is currently generating about 0.14 per unit of volatility. If you would invest  4,264  in FT Cboe Vest on October 6, 2024 and sell it today you would earn a total of  559.00  from holding FT Cboe Vest or generate 13.11% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	98.79%
Values	Daily Returns

SCOR PK  vs.  FT Cboe Vest

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.

FT Cboe Vest

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in FT Cboe Vest are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of fairly stable basic indicators, FT Cboe is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Pair Trading with SCOR PK and FT Cboe

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

The idea behind SCOR PK and FT Cboe Vest 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.