Correlation Between Ontology and LBA

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

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

Diversification Opportunities for Ontology and LBA

0.06

Correlation Coefficient

Ontology  LBA

Significant diversification

The 3 months correlation between Ontology and LBA is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Ontology and LBA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LBA and Ontology 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 Ontology are associated (or correlated) with LBA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LBA has no effect on the direction of Ontology i.e., Ontology and LBA go up and down completely randomly.

Pair Corralation between Ontology and LBA

Assuming the 90 days trading horizon Ontology is expected to generate 0.38 times more return on investment than LBA. However, Ontology is 2.61 times less risky than LBA. It trades about 0.19 of its potential returns per unit of risk. LBA is currently generating about 0.07 per unit of risk. If you would invest  16.00  in Ontology on August 30, 2024 and sell it today you would earn a total of  11.00  from holding Ontology or generate 68.75% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Ontology  vs.  LBA

Ontology

Risk-Adjusted Performance

14 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Ontology are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Ontology exhibited solid returns over the last few months and may actually be approaching a breakup point.

LBA

Risk-Adjusted Performance

5 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in LBA are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, LBA exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Ontology and LBA

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

The idea behind Ontology and LBA 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.