Correlation Between EM and Clearpool

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

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

Diversification Opportunities for EM and Clearpool

0.0

Correlation Coefficient

EM  Clearpool

Pay attention - limited upside

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

Pair Corralation between EM and Clearpool

If you would invest  14.00  in Clearpool on April 22, 2025 and sell it today you would earn a total of  2.00  from holding Clearpool or generate 14.29% return on investment over 90 days.

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

EM  vs.  Clearpool

EM

Risk-Adjusted Performance

Very Weak

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

Clearpool

Risk-Adjusted Performance

Modest

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

Pair Trading with EM and Clearpool

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

The idea behind EM and Clearpool 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.