Correlation Between Hanover Insurance and S A P

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

By analyzing existing cross correlation between The Hanover Insurance and SAP SE, you can compare the effects of market volatilities on Hanover Insurance and S A P 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 Hanover Insurance with a short position of S A P. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanover Insurance and S A P.

Diversification Opportunities for Hanover Insurance and S A P

0.7

Correlation Coefficient

Hanover Insurance  S A P

Poor diversification

The 3 months correlation between Hanover and SAP is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding The Hanover Insurance and SAP SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SAP SE and Hanover Insurance 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 The Hanover Insurance are associated (or correlated) with S A P. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SAP SE has no effect on the direction of Hanover Insurance i.e., Hanover Insurance and S A P go up and down completely randomly.

Pair Corralation between Hanover Insurance and S A P

Assuming the 90 days horizon Hanover Insurance is expected to generate 1.29 times less return on investment than S A P. In addition to that, Hanover Insurance is 1.21 times more volatile than SAP SE. It trades about 0.11 of its total potential returns per unit of risk. SAP SE is currently generating about 0.17 per unit of volatility. If you would invest  20,685  in SAP SE on September 22, 2024 and sell it today you would earn a total of  2,990  from holding SAP SE or generate 14.45% return on investment over 90 days.

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

The Hanover Insurance  vs.  SAP SE

Hanover Insurance

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in The Hanover Insurance are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Hanover Insurance may actually be approaching a critical reversion point that can send shares even higher in January 2025.

SAP SE

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in SAP SE are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile basic indicators, S A P unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Hanover Insurance and S A P

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

The idea behind The Hanover Insurance and SAP 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.