Correlation Between Datagroup and Toyota

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

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

Diversification Opportunities for Datagroup and Toyota

0.27

Correlation Coefficient

Datagroup  Toyota

Modest diversification

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

Pair Corralation between Datagroup and Toyota

Assuming the 90 days trading horizon Datagroup is expected to generate 1.2 times less return on investment than Toyota. In addition to that, Datagroup is 1.16 times more volatile than Toyota Motor Corp. It trades about 0.13 of its total potential returns per unit of risk. Toyota Motor Corp is currently generating about 0.18 per unit of volatility. If you would invest  268,450  in Toyota Motor Corp on October 7, 2024 and sell it today you would earn a total of  46,150  from holding Toyota Motor Corp or generate 17.19% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	97.56%
Values	Daily Returns

Datagroup SE  vs.  Toyota Motor Corp

Datagroup SE

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Datagroup SE are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Datagroup may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Toyota Motor Corp

Risk-Adjusted Performance

11 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Toyota Motor Corp are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady technical and fundamental indicators, Toyota exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Datagroup and Toyota

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

The idea behind Datagroup SE and Toyota Motor Corp 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 Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.