Correlation Between LENSAR and RadNet
Can any of the company-specific risk be diversified away by investing in both LENSAR 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 LENSAR and RadNet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LENSAR Inc and RadNet Inc, you can compare the effects of market volatilities on LENSAR 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 LENSAR with a short position of RadNet. Check out your portfolio center. Please also check ongoing floating volatility patterns of LENSAR and RadNet.
Diversification Opportunities for LENSAR and RadNet
Average diversification
The 3 months correlation between LENSAR and RadNet is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding LENSAR Inc and RadNet Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RadNet Inc and LENSAR 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 LENSAR Inc 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 LENSAR i.e., LENSAR and RadNet go up and down completely randomly.
Pair Corralation between LENSAR and RadNet
Given the investment horizon of 90 days LENSAR Inc is expected to generate 1.85 times more return on investment than RadNet. However, LENSAR is 1.85 times more volatile than RadNet Inc. It trades about 0.09 of its potential returns per unit of risk. RadNet Inc is currently generating about 0.1 per unit of risk. If you would invest 404.00 in LENSAR Inc on October 26, 2024 and sell it today you would earn a total of 516.00 from holding LENSAR Inc or generate 127.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 99.63% |
Values | Daily Returns |
LENSAR Inc vs. RadNet Inc
Performance |
Timeline |
LENSAR Inc |
RadNet Inc |
LENSAR and RadNet Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LENSAR and RadNet
The main advantage of trading using opposite LENSAR and RadNet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LENSAR 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 LENSAR Inc 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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