Correlation Between Schnapp and MetLife
Can any of the company-specific risk be diversified away by investing in both Schnapp and MetLife 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 Schnapp and MetLife into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Schnapp and MetLife, you can compare the effects of market volatilities on Schnapp and MetLife 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 Schnapp with a short position of MetLife. Check out your portfolio center. Please also check ongoing floating volatility patterns of Schnapp and MetLife.
Diversification Opportunities for Schnapp and MetLife
Average diversification
The 3 months correlation between Schnapp and MetLife is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Schnapp and MetLife in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MetLife and Schnapp 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 Schnapp are associated (or correlated) with MetLife. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MetLife has no effect on the direction of Schnapp i.e., Schnapp and MetLife go up and down completely randomly.
Pair Corralation between Schnapp and MetLife
Assuming the 90 days trading horizon Schnapp is expected to under-perform the MetLife. In addition to that, Schnapp is 1.36 times more volatile than MetLife. It trades about -0.04 of its total potential returns per unit of risk. MetLife is currently generating about 0.03 per unit of volatility. If you would invest 6,337 in MetLife on January 26, 2024 and sell it today you would earn a total of 935.00 from holding MetLife or generate 14.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 79.15% |
Values | Daily Returns |
Schnapp vs. MetLife
Performance |
Timeline |
Schnapp |
MetLife |
Schnapp and MetLife Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Schnapp and MetLife
The main advantage of trading using opposite Schnapp and MetLife positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schnapp position performs unexpectedly, MetLife 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 MetLife will offset losses from the drop in MetLife's long position.Schnapp vs. Ralco Agencies | Schnapp vs. Nextcom | Schnapp vs. Brimag L | Schnapp vs. Delek Automotive Systems |
MetLife vs. Lincoln National | MetLife vs. Manulife Financial Corp | MetLife vs. Jackson Financial | MetLife vs. Brighthouse 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 Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Other Complementary Tools
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |