Correlation Between White Mountains and Dover

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

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

Diversification Opportunities for White Mountains and Dover

0.75

Correlation Coefficient

White Mountains  Dover

Poor diversification

The 3 months correlation between White and Dover is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding White Mountains Insurance and Dover in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dover and White Mountains 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 White Mountains Insurance are associated (or correlated) with Dover. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dover has no effect on the direction of White Mountains i.e., White Mountains and Dover go up and down completely randomly.

Pair Corralation between White Mountains and Dover

Considering the 90-day investment horizon White Mountains Insurance is expected to generate 1.28 times more return on investment than Dover. However, White Mountains is 1.28 times more volatile than Dover. It trades about -0.17 of its potential returns per unit of risk. Dover is currently generating about -0.43 per unit of risk. If you would invest  200,999  in White Mountains Insurance on September 30, 2024 and sell it today you would lose (9,126) from holding White Mountains Insurance or give up 4.54% of portfolio value over 90 days.

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

White Mountains Insurance  vs.  Dover

White Mountains Insurance

Risk-Adjusted Performance

10 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in White Mountains Insurance are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of very conflicting basic indicators, White Mountains displayed solid returns over the last few months and may actually be approaching a breakup point.

Dover

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Dover has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly stable basic indicators, Dover is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Pair Trading with White Mountains and Dover

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

The idea behind White Mountains Insurance and Dover 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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.