Correlation Between Snap and OFS Credit
Can any of the company-specific risk be diversified away by investing in both Snap and OFS Credit 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 Snap and OFS Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snap Inc and OFS Credit, you can compare the effects of market volatilities on Snap and OFS Credit 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 Snap with a short position of OFS Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snap and OFS Credit.
Diversification Opportunities for Snap and OFS Credit
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Snap and OFS is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Snap Inc and OFS Credit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OFS Credit and Snap 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 Snap Inc are associated (or correlated) with OFS Credit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OFS Credit has no effect on the direction of Snap i.e., Snap and OFS Credit go up and down completely randomly.
Pair Corralation between Snap and OFS Credit
Given the investment horizon of 90 days Snap Inc is expected to generate 4.67 times more return on investment than OFS Credit. However, Snap is 4.67 times more volatile than OFS Credit. It trades about 0.1 of its potential returns per unit of risk. OFS Credit is currently generating about 0.15 per unit of risk. If you would invest 1,071 in Snap Inc on August 28, 2024 and sell it today you would earn a total of 89.00 from holding Snap Inc or generate 8.31% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Snap Inc vs. OFS Credit
Performance |
| Timeline |
| Snap Inc |
| OFS Credit |
Snap and OFS Credit Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Snap and OFS Credit
The main advantage of trading using opposite Snap and OFS Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snap position performs unexpectedly, OFS Credit 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 OFS Credit will offset losses from the drop in OFS Credit's long position.The idea behind Snap Inc and OFS Credit 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.| OFS Credit vs. WhiteHorse Finance | OFS Credit vs. Monroe Capital Corp | OFS Credit vs. Portman Ridge Finance | OFS Credit vs. Fidus Investment Corp |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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