Correlation Between Snap and B Riley
Can any of the company-specific risk be diversified away by investing in both Snap and B Riley 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 B Riley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snap Inc and B Riley Financial,, you can compare the effects of market volatilities on Snap and B Riley 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 B Riley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snap and B Riley.
Diversification Opportunities for Snap and B Riley
Poor diversification
The 3 months correlation between Snap and RILYM is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Snap Inc and B Riley Financial, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on B Riley Financial, 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 B Riley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of B Riley Financial, has no effect on the direction of Snap i.e., Snap and B Riley go up and down completely randomly.
Pair Corralation between Snap and B Riley
Given the investment horizon of 90 days Snap Inc is expected to under-perform the B Riley. But the stock apears to be less risky and, when comparing its historical volatility, Snap Inc is 1.41 times less risky than B Riley. The stock trades about -0.04 of its potential returns per unit of risk. The B Riley Financial, is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 2,365 in B Riley Financial, on August 25, 2024 and sell it today you would lose (25.00) from holding B Riley Financial, or give up 1.06% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Snap Inc vs. B Riley Financial,
Performance |
| Timeline |
| Snap Inc |
| B Riley Financial, |
Snap and B Riley Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Snap and B Riley
The main advantage of trading using opposite Snap and B Riley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snap position performs unexpectedly, B Riley 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 B Riley will offset losses from the drop in B Riley's long position.The idea behind Snap Inc and B Riley Financial, 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.| B Riley vs. B Riley Financial | B Riley vs. B Riley Financial | B Riley vs. B Riley Financial | B Riley vs. B Riley Financial |
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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