Correlation Between We Buy and Blue Label

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

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

Diversification Opportunities for We Buy and Blue Label

0.41

Correlation Coefficient

We Buy  Blue Label

Very weak diversification

The 3 months correlation between WBC and Blue is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding We Buy Cars and Blue Label Telecoms in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blue Label Telecoms and We Buy 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 We Buy Cars are associated (or correlated) with Blue Label. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blue Label Telecoms has no effect on the direction of We Buy i.e., We Buy and Blue Label go up and down completely randomly.

Pair Corralation between We Buy and Blue Label

Assuming the 90 days trading horizon We Buy Cars is expected to generate 1.11 times more return on investment than Blue Label. However, We Buy is 1.11 times more volatile than Blue Label Telecoms. It trades about 0.37 of its potential returns per unit of risk. Blue Label Telecoms is currently generating about 0.08 per unit of risk. If you would invest  303,000  in We Buy Cars on September 1, 2024 and sell it today you would earn a total of  150,000  from holding We Buy Cars or generate 49.5% return on investment over 90 days.

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

We Buy Cars  vs.  Blue Label Telecoms

We Buy Cars

Risk-Adjusted Performance

29 of 100

Strong

Compared to the overall equity markets, risk-adjusted returns on investments in We Buy Cars are ranked lower than 29 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical and fundamental indicators, We Buy exhibited solid returns over the last few months and may actually be approaching a breakup point.

Blue Label Telecoms

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Blue Label Telecoms are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical and fundamental indicators, Blue Label may actually be approaching a critical reversion point that can send shares even higher in December 2024.

Pair Trading with We Buy and Blue Label

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

The idea behind We Buy Cars and Blue Label Telecoms 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.