Correlation Between Osmosis and ABL

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

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

Diversification Opportunities for Osmosis and ABL

-0.3

Correlation Coefficient

Osmosis  ABL

Very good diversification

The 3 months correlation between Osmosis and ABL is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Osmosis and ABL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ABL and Osmosis 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 Osmosis are associated (or correlated) with ABL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ABL has no effect on the direction of Osmosis i.e., Osmosis and ABL go up and down completely randomly.

Pair Corralation between Osmosis and ABL

If you would invest  37.00  in Osmosis on September 1, 2024 and sell it today you would earn a total of  22.00  from holding Osmosis or generate 59.46% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	1.54%
Values	Daily Returns

Osmosis  vs.  ABL

Osmosis

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Osmosis are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Osmosis exhibited solid returns over the last few months and may actually be approaching a breakup point.

ABL

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days ABL has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound essential indicators, ABL is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with Osmosis and ABL

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

The idea behind Osmosis and ABL 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.

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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.