Correlation Between W R and White Mountains

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

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

Diversification Opportunities for W R and White Mountains

0.6

Correlation Coefficient

W R  White Mountains

Poor diversification

The 3 months correlation between WRB and White is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding W R Berkley and White Mountains Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on White Mountains Insurance and W R 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 W R Berkley are associated (or correlated) with White Mountains. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of White Mountains Insurance has no effect on the direction of W R i.e., W R and White Mountains go up and down completely randomly.

Pair Corralation between W R and White Mountains

Considering the 90-day investment horizon W R Berkley is expected to generate 0.94 times more return on investment than White Mountains. However, W R Berkley is 1.07 times less risky than White Mountains. It trades about 0.07 of its potential returns per unit of risk. White Mountains Insurance is currently generating about -0.02 per unit of risk. If you would invest  5,919  in W R Berkley on November 19, 2024 and sell it today you would earn a total of  116.00  from holding W R Berkley or generate 1.96% return on investment over 90 days.

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

W R Berkley  vs.  White Mountains Insurance

W R Berkley

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in W R Berkley are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong basic indicators, W R is not utilizing all of its potentials. The recent stock price disturbance, may contribute to short-term losses for the investors.

White Mountains Insurance

Risk-Adjusted Performance

Very Weak

Over the last 90 days White Mountains Insurance has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy basic indicators, White Mountains is not utilizing all of its potentials. The latest stock price disarray, may contribute to short-term losses for the investors.

Pair Trading with W R and White Mountains

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

The idea behind W R Berkley and White Mountains Insurance 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.