Correlation Between Janus Research and Columbia Seligman

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

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

Diversification Opportunities for Janus Research and Columbia Seligman

0.0

Correlation Coefficient

Janus Research  Columbia Seligman

Pay attention - limited upside

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

Pair Corralation between Janus Research and Columbia Seligman

If you would invest (100.00) in Columbia Seligman Munications on December 27, 2024 and sell it today you would earn a total of  100.00  from holding Columbia Seligman Munications or generate -100.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

Janus Research Fund  vs.  Columbia Seligman Munications

Janus Research

Risk-Adjusted Performance

Very Weak

Over the last 90 days Janus Research Fund has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Janus Research is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Columbia Seligman

Risk-Adjusted Performance

Very Weak

Over the last 90 days Columbia Seligman Munications has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Columbia Seligman is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Janus Research and Columbia Seligman

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

The idea behind Janus Research Fund and Columbia Seligman Munications 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.