Correlation Between Data#3 and HomeToGo

Can any of the company-specific risk be diversified away by investing in both Data#3 and HomeToGo 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 Data#3 and HomeToGo into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Data3 Limited and HomeToGo SE, you can compare the effects of market volatilities on Data#3 and HomeToGo 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 Data#3 with a short position of HomeToGo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Data#3 and HomeToGo.

Diversification Opportunities for Data#3 and HomeToGo

-0.27

Correlation Coefficient

Data#3  HomeToGo

Very good diversification

The 3 months correlation between Data#3 and HomeToGo is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Data3 Limited and HomeToGo SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HomeToGo SE and Data#3 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 Data3 Limited are associated (or correlated) with HomeToGo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HomeToGo SE has no effect on the direction of Data#3 i.e., Data#3 and HomeToGo go up and down completely randomly.

Pair Corralation between Data#3 and HomeToGo

Assuming the 90 days horizon Data3 Limited is expected to generate 0.79 times more return on investment than HomeToGo. However, Data3 Limited is 1.27 times less risky than HomeToGo. It trades about 0.04 of its potential returns per unit of risk. HomeToGo SE is currently generating about 0.01 per unit of risk. If you would invest  357.00  in Data3 Limited on September 2, 2024 and sell it today you would earn a total of  115.00  from holding Data3 Limited or generate 32.21% return on investment over 90 days.

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

Data3 Limited  vs.  HomeToGo SE

Data3 Limited

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Data3 Limited are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite nearly stable basic indicators, Data#3 is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

HomeToGo SE

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in HomeToGo SE are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile technical and fundamental indicators, HomeToGo unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Data#3 and HomeToGo

The main advantage of trading using opposite Data#3 and HomeToGo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Data#3 position performs unexpectedly, HomeToGo 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 HomeToGo will offset losses from the drop in HomeToGo's long position.

The idea behind Data3 Limited and HomeToGo SE 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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.