Correlation Between RPBio and Kmw

Can any of the company-specific risk be diversified away by investing in both RPBio and Kmw 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 RPBio and Kmw into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between RPBio Inc and Kmw Inc, you can compare the effects of market volatilities on RPBio and Kmw 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 RPBio with a short position of Kmw. Check out your portfolio center. Please also check ongoing floating volatility patterns of RPBio and Kmw.

Diversification Opportunities for RPBio and Kmw

0.31

Correlation Coefficient

RPBio  Kmw

Weak diversification

The 3 months correlation between RPBio and Kmw is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding RPBio Inc and Kmw Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kmw Inc and RPBio 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 RPBio Inc are associated (or correlated) with Kmw. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kmw Inc has no effect on the direction of RPBio i.e., RPBio and Kmw go up and down completely randomly.

Pair Corralation between RPBio and Kmw

If you would invest (100.00) in Kmw Inc on October 25, 2024 and sell it today you would earn a total of  100.00  from holding Kmw Inc or generate -100.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	0.0%
Values	Daily Returns

RPBio Inc  vs.  Kmw Inc

RPBio Inc

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days RPBio Inc has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain somewhat strong which may send shares a bit higher in February 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Kmw Inc

Risk-Adjusted Performance

0 of 100

OK

Over the last 90 days Kmw Inc has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat weak basic indicators, Kmw sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with RPBio and Kmw

The main advantage of trading using opposite RPBio and Kmw positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RPBio position performs unexpectedly, Kmw 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 Kmw will offset losses from the drop in Kmw's long position.

The idea behind RPBio Inc and Kmw 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.

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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.