Correlation Between CITIC Telecom and Scale All

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

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

Diversification Opportunities for CITIC Telecom and Scale All

-0.31

Correlation Coefficient

CITIC Telecom  Scale All

Very good diversification

The 3 months correlation between CITIC and Scale is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding CITIC Telecom International and Scale All Share in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scale All Share and CITIC Telecom 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 CITIC Telecom International are associated (or correlated) with Scale All. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scale All Share has no effect on the direction of CITIC Telecom i.e., CITIC Telecom and Scale All go up and down completely randomly.

Pair Corralation between CITIC Telecom and Scale All

Assuming the 90 days horizon CITIC Telecom International is expected to generate 3.99 times more return on investment than Scale All. However, CITIC Telecom is 3.99 times more volatile than Scale All Share. It trades about 0.02 of its potential returns per unit of risk. Scale All Share is currently generating about -0.02 per unit of risk. If you would invest  27.00  in CITIC Telecom International on October 6, 2024 and sell it today you would earn a total of  0.00  from holding CITIC Telecom International or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.36%
Values	Daily Returns

CITIC Telecom International  vs.  Scale All Share

Pair Trading with CITIC Telecom and Scale All

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

The idea behind CITIC Telecom International and Scale All Share 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.