Correlation Between FXP and Ontology

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

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

Diversification Opportunities for FXP and Ontology

0.0

Correlation Coefficient

FXP  Ontology

Pay attention - limited upside

The 3 months correlation between FXP and Ontology is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding FXP and Ontology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ontology and FXP 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 FXP are associated (or correlated) with Ontology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ontology has no effect on the direction of FXP i.e., FXP and Ontology go up and down completely randomly.

Pair Corralation between FXP and Ontology

If you would invest  16.00  in Ontology on September 1, 2024 and sell it today you would earn a total of  13.00  from holding Ontology or generate 81.25% return on investment over 90 days.

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

FXP  vs.  Ontology

FXP

Risk-Adjusted Performance

0 of 100

Very Weak

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

Ontology

Risk-Adjusted Performance

16 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Ontology are ranked lower than 16 (%) 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.

Pair Trading with FXP and Ontology

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

The idea behind FXP and Ontology 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.