Correlation Between OFS Credit and Franklin Resources
Can any of the company-specific risk be diversified away by investing in both OFS Credit and Franklin Resources 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 Franklin Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between OFS Credit and Franklin Resources, you can compare the effects of market volatilities on OFS Credit and Franklin Resources 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 Franklin Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of OFS Credit and Franklin Resources.
Diversification Opportunities for OFS Credit and Franklin Resources
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between OFS and Franklin is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding OFS Credit and Franklin Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Resources 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 Franklin Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Resources has no effect on the direction of OFS Credit i.e., OFS Credit and Franklin Resources go up and down completely randomly.
Pair Corralation between OFS Credit and Franklin Resources
Assuming the 90 days horizon OFS Credit is expected to generate 0.2 times more return on investment than Franklin Resources. However, OFS Credit is 4.91 times less risky than Franklin Resources. It trades about 0.14 of its potential returns per unit of risk. Franklin Resources is currently generating about -0.02 per unit of risk. If you would invest 2,076 in OFS Credit on October 5, 2024 and sell it today you would earn a total of 304.00 from holding OFS Credit or generate 14.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.63% |
Values | Daily Returns |
OFS Credit vs. Franklin Resources
Performance |
Timeline |
OFS Credit |
Franklin Resources |
OFS Credit and Franklin Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with OFS Credit and Franklin Resources
The main advantage of trading using opposite OFS Credit and Franklin Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OFS Credit position performs unexpectedly, Franklin Resources 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 Franklin Resources will offset losses from the drop in Franklin Resources' long position.OFS Credit vs. OFS Credit | OFS Credit vs. Oxford Lane Capital | OFS Credit vs. Gladstone Land Corp | OFS Credit vs. Eagle Point Income |
Franklin Resources vs. BlackRock | Franklin Resources vs. Main Street Capital | Franklin Resources vs. Blackstone Group | Franklin Resources vs. Ares Capital |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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