Correlation Between OFS Credit and SCOR PK

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

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

Diversification Opportunities for OFS Credit and SCOR PK

0.33

Correlation Coefficient

OFS Credit  SCOR PK

Weak diversification

The 3 months correlation between OFS and SCOR is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding OFS Credit and SCOR PK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCOR PK and OFS Credit 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 OFS Credit are associated (or correlated) with SCOR PK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCOR PK has no effect on the direction of OFS Credit i.e., OFS Credit and SCOR PK go up and down completely randomly.

Pair Corralation between OFS Credit and SCOR PK

Assuming the 90 days horizon OFS Credit is expected to generate 108.37 times less return on investment than SCOR PK. But when comparing it to its historical volatility, OFS Credit is 6.63 times less risky than SCOR PK. It trades about 0.01 of its potential returns per unit of risk. SCOR PK is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest  215.00  in SCOR PK on October 7, 2024 and sell it today you would earn a total of  38.00  from holding SCOR PK or generate 17.67% return on investment over 90 days.

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

OFS Credit  vs.  SCOR PK

OFS Credit

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in OFS Credit are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of very healthy forward indicators, OFS Credit is not utilizing all of its potentials. The latest stock price disarray, may contribute to short-term losses for the investors.

SCOR PK

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in SCOR PK are ranked lower than 8 (%) 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.

Pair Trading with OFS Credit and SCOR PK

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

The idea behind OFS Credit and SCOR PK 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.