Correlation Between We Buy and Tiger Brands

Can any of the company-specific risk be diversified away by investing in both We Buy and Tiger Brands 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 Tiger Brands 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 Tiger Brands, you can compare the effects of market volatilities on We Buy and Tiger Brands 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 Tiger Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of We Buy and Tiger Brands.

Diversification Opportunities for We Buy and Tiger Brands

0.7

Correlation Coefficient

We Buy  Tiger Brands

Poor diversification

The 3 months correlation between WBC and Tiger is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding We Buy Cars and Tiger Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tiger Brands 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 Tiger Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tiger Brands has no effect on the direction of We Buy i.e., We Buy and Tiger Brands go up and down completely randomly.

Pair Corralation between We Buy and Tiger Brands

Assuming the 90 days trading horizon We Buy Cars is expected to generate 1.19 times more return on investment than Tiger Brands. However, We Buy is 1.19 times more volatile than Tiger Brands. It trades about 0.21 of its potential returns per unit of risk. Tiger Brands is currently generating about 0.05 per unit of risk. If you would invest  202,891  in We Buy Cars on October 12, 2024 and sell it today you would earn a total of  236,009  from holding We Buy Cars or generate 116.32% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	38.29%
Values	Daily Returns

We Buy Cars  vs.  Tiger Brands

We Buy Cars

Risk-Adjusted Performance

20 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in We Buy Cars are ranked lower than 20 (%) 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.

Tiger Brands

Risk-Adjusted Performance

20 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Tiger Brands are ranked lower than 20 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical and fundamental indicators, Tiger Brands exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with We Buy and Tiger Brands

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

The idea behind We Buy Cars and Tiger Brands 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.