Correlation Between QBE Insurance and RadNet
Can any of the company-specific risk be diversified away by investing in both QBE Insurance and RadNet 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 QBE Insurance and RadNet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between QBE Insurance Group and RadNet Inc, you can compare the effects of market volatilities on QBE Insurance and RadNet 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 QBE Insurance with a short position of RadNet. Check out your portfolio center. Please also check ongoing floating volatility patterns of QBE Insurance and RadNet.
Diversification Opportunities for QBE Insurance and RadNet
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between QBE and RadNet is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding QBE Insurance Group and RadNet Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RadNet Inc and QBE Insurance 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 QBE Insurance Group are associated (or correlated) with RadNet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RadNet Inc has no effect on the direction of QBE Insurance i.e., QBE Insurance and RadNet go up and down completely randomly.
Pair Corralation between QBE Insurance and RadNet
Assuming the 90 days horizon QBE Insurance is expected to generate 2.82 times less return on investment than RadNet. In addition to that, QBE Insurance is 1.07 times more volatile than RadNet Inc. It trades about 0.04 of its total potential returns per unit of risk. RadNet Inc is currently generating about 0.12 per unit of volatility. If you would invest 2,856 in RadNet Inc on August 31, 2024 and sell it today you would earn a total of 5,393 from holding RadNet Inc or generate 188.83% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 68.78% |
| Values | Daily Returns |
QBE Insurance Group vs. RadNet Inc
Performance |
| Timeline |
| QBE Insurance Group |
| RadNet Inc |
QBE Insurance and RadNet Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with QBE Insurance and RadNet
The main advantage of trading using opposite QBE Insurance and RadNet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QBE Insurance position performs unexpectedly, RadNet 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 RadNet will offset losses from the drop in RadNet's long position.The idea behind QBE Insurance Group and RadNet Inc 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.| RadNet vs. Sotera Health Co | RadNet vs. Neogen | RadNet vs. Myriad Genetics | RadNet vs. bioAffinity Technologies Warrant |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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