Correlation Between Ontology and PING

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

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

Diversification Opportunities for Ontology and PING

0.13

Correlation Coefficient

Ontology  PING

Average diversification

The 3 months correlation between Ontology and PING is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Ontology and PING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PING 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 PING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PING has no effect on the direction of Ontology i.e., Ontology and PING go up and down completely randomly.

Pair Corralation between Ontology and PING

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	1.56%
Values	Daily Returns

Ontology  vs.  PING

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.

PING

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with Ontology and PING

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

The idea behind Ontology and PING 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.