Correlation Between OFS Credit and HUMANA

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

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

Diversification Opportunities for OFS Credit and HUMANA

-0.13

Correlation Coefficient

OFS Credit  HUMANA

Good diversification

The 3 months correlation between OFS and HUMANA is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding OFS Credit and HUMANA INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HUMANA INC 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 HUMANA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HUMANA INC has no effect on the direction of OFS Credit i.e., OFS Credit and HUMANA go up and down completely randomly.

Pair Corralation between OFS Credit and HUMANA

Assuming the 90 days horizon OFS Credit is expected to generate 1.08 times less return on investment than HUMANA. But when comparing it to its historical volatility, OFS Credit is 1.65 times less risky than HUMANA. It trades about 0.08 of its potential returns per unit of risk. HUMANA INC is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest  8,061  in HUMANA INC on October 22, 2024 and sell it today you would earn a total of  383.00  from holding HUMANA INC or generate 4.75% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	99.19%
Values	Daily Returns

OFS Credit  vs.  HUMANA INC

OFS Credit

Risk-Adjusted Performance

0 of 100

Insignificant

Over the last 90 days OFS Credit has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy forward indicators, OFS Credit is not utilizing all of its potentials. The recent stock price disarray, may contribute to short-term losses for the investors.

HUMANA INC

Risk-Adjusted Performance

6 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in HUMANA INC are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong basic indicators, HUMANA is not utilizing all of its potentials. The recent stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with OFS Credit and HUMANA

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

The idea behind OFS Credit and HUMANA INC 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.