Correlation Between Markel and QBE Insurance

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

By analyzing existing cross correlation between Markel and QBE Insurance Group, you can compare the effects of market volatilities on Markel and QBE Insurance 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 Markel with a short position of QBE Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Markel and QBE Insurance.

Diversification Opportunities for Markel and QBE Insurance

0.09

Correlation Coefficient

Markel  QBE Insurance

Significant diversification

The 3 months correlation between Markel and QBE is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Markel and QBE Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on QBE Insurance Group and Markel 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 Markel are associated (or correlated) with QBE Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of QBE Insurance Group has no effect on the direction of Markel i.e., Markel and QBE Insurance go up and down completely randomly.

Pair Corralation between Markel and QBE Insurance

Assuming the 90 days horizon Markel is expected to generate 2.88 times less return on investment than QBE Insurance. In addition to that, Markel is 1.09 times more volatile than QBE Insurance Group. It trades about 0.05 of its total potential returns per unit of risk. QBE Insurance Group is currently generating about 0.15 per unit of volatility. If you would invest  1,117  in QBE Insurance Group on December 28, 2024 and sell it today you would earn a total of  173.00  from holding QBE Insurance Group or generate 15.49% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	98.41%
Values	Daily Returns

Markel  vs.  QBE Insurance Group

Markel

Risk-Adjusted Performance

Insignificant

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

QBE Insurance Group

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in QBE Insurance Group are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Despite nearly weak basic indicators, QBE Insurance reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Markel and QBE Insurance

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

The idea behind Markel and QBE Insurance Group 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.

Check out your portfolio center.

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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.