Correlation Between KMD and Ontology

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

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

Diversification Opportunities for KMD and Ontology

0.77

Correlation Coefficient

KMD  Ontology

Poor diversification

The 3 months correlation between KMD and Ontology is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding KMD and Ontology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ontology and KMD 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 KMD 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 KMD i.e., KMD and Ontology go up and down completely randomly.

Pair Corralation between KMD and Ontology

Assuming the 90 days trading horizon KMD is expected to generate 1.03 times less return on investment than Ontology. In addition to that, KMD is 1.02 times more volatile than Ontology. It trades about 0.12 of its total potential returns per unit of risk. Ontology is currently generating about 0.12 per unit of volatility. If you would invest  21.00  in Ontology on January 25, 2024 and sell it today you would earn a total of  22.00  from holding Ontology or generate 104.76% return on investment over 90 days.

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

KMD  vs.  Ontology

KMD

Risk-Adjusted Performance

12 of 100

Good

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

Ontology

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Ontology are ranked lower than 12 (%) 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 KMD and Ontology

The main advantage of trading using opposite KMD and Ontology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KMD 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 KMD 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.

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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.