Correlation Between Opera and Getty Images
Can any of the company-specific risk be diversified away by investing in both Opera and Getty Images 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 Opera and Getty Images into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Opera and Getty Images Holdings, you can compare the effects of market volatilities on Opera and Getty Images 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 Opera with a short position of Getty Images. Check out your portfolio center. Please also check ongoing floating volatility patterns of Opera and Getty Images.
Diversification Opportunities for Opera and Getty Images
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Opera and Getty is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Opera and Getty Images Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Getty Images Holdings and Opera 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 Opera are associated (or correlated) with Getty Images. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Getty Images Holdings has no effect on the direction of Opera i.e., Opera and Getty Images go up and down completely randomly.
Pair Corralation between Opera and Getty Images
Given the investment horizon of 90 days Opera is expected to generate 0.94 times more return on investment than Getty Images. However, Opera is 1.07 times less risky than Getty Images. It trades about 0.08 of its potential returns per unit of risk. Getty Images Holdings is currently generating about -0.02 per unit of risk. If you would invest 503.00 in Opera on September 30, 2024 and sell it today you would earn a total of 1,394 from holding Opera or generate 277.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Opera vs. Getty Images Holdings
Performance |
Timeline |
Opera |
Getty Images Holdings |
Opera and Getty Images Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Opera and Getty Images
The main advantage of trading using opposite Opera and Getty Images positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Opera position performs unexpectedly, Getty Images 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 Getty Images will offset losses from the drop in Getty Images' long position.The idea behind Opera and Getty Images Holdings 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.Getty Images vs. Outbrain | Getty Images vs. Perion Network | Getty Images vs. Taboola Ltd Warrant | Getty Images vs. Fiverr International |
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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
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