Correlation Between Getty Images and Marine Products
Can any of the company-specific risk be diversified away by investing in both Getty Images and Marine Products 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 Getty Images and Marine Products into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Getty Images Holdings and Marine Products, you can compare the effects of market volatilities on Getty Images and Marine Products 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 Getty Images with a short position of Marine Products. Check out your portfolio center. Please also check ongoing floating volatility patterns of Getty Images and Marine Products.
Diversification Opportunities for Getty Images and Marine Products
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Getty and Marine is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Getty Images Holdings and Marine Products in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marine Products and Getty Images 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 Getty Images Holdings are associated (or correlated) with Marine Products. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marine Products has no effect on the direction of Getty Images i.e., Getty Images and Marine Products go up and down completely randomly.
Pair Corralation between Getty Images and Marine Products
Given the investment horizon of 90 days Getty Images Holdings is expected to under-perform the Marine Products. In addition to that, Getty Images is 2.32 times more volatile than Marine Products. It trades about -0.03 of its total potential returns per unit of risk. Marine Products is currently generating about -0.03 per unit of volatility. If you would invest 1,020 in Marine Products on October 20, 2024 and sell it today you would lose (106.00) from holding Marine Products or give up 10.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Getty Images Holdings vs. Marine Products
Performance |
Timeline |
Getty Images Holdings |
Marine Products |
Getty Images and Marine Products Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Getty Images and Marine Products
The main advantage of trading using opposite Getty Images and Marine Products positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Getty Images position performs unexpectedly, Marine Products 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 Marine Products will offset losses from the drop in Marine Products' long position.Getty Images vs. Twilio Inc | Getty Images vs. Baidu Inc | Getty Images vs. Snap Inc | Getty Images vs. ANGI Homeservices |
Marine Products vs. Thor Industries | Marine Products vs. BRP Inc | Marine Products vs. Brunswick | Marine Products vs. EZGO Technologies |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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