Correlation Between Snap and Big Time
Specify exactly 2 symbols:
By analyzing existing cross correlation between Snap Inc and Big Time, you can compare the effects of market volatilities on Snap and Big Time 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 Big Time. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snap and Big Time.
Diversification Opportunities for Snap and Big Time
Poor diversification
The 3 months correlation between Snap and Big is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Snap Inc and Big Time in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Big Time 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 Big Time. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Big Time has no effect on the direction of Snap i.e., Snap and Big Time go up and down completely randomly.
Pair Corralation between Snap and Big Time
Given the investment horizon of 90 days Snap is expected to generate 4.12 times less return on investment than Big Time. But when comparing it to its historical volatility, Snap Inc is 3.12 times less risky than Big Time. It trades about 0.11 of its potential returns per unit of risk. Big Time is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 7.32 in Big Time on August 25, 2024 and sell it today you would earn a total of 6.68 from holding Big Time or generate 91.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 96.97% |
Values | Daily Returns |
Snap Inc vs. Big Time
Performance |
Timeline |
Snap Inc |
Big Time |
Snap and Big Time Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Snap and Big Time
The main advantage of trading using opposite Snap and Big Time positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snap position performs unexpectedly, Big Time 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 Big Time will offset losses from the drop in Big Time's long position.The idea behind Snap Inc and Big Time 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.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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Other Complementary Tools
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |