Correlation Between J J and White Mountains
Can any of the company-specific risk be diversified away by investing in both J J 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 J J and White Mountains into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between J J Snack and White Mountains Insurance, you can compare the effects of market volatilities on J J 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 J J with a short position of White Mountains. Check out your portfolio center. Please also check ongoing floating volatility patterns of J J and White Mountains.
Diversification Opportunities for J J and White Mountains
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between JJSF and White is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding J J Snack 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 J J 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 J J Snack 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 J J i.e., J J and White Mountains go up and down completely randomly.
Pair Corralation between J J and White Mountains
Given the investment horizon of 90 days J J is expected to generate 3.23 times less return on investment than White Mountains. In addition to that, J J is 1.2 times more volatile than White Mountains Insurance. It trades about 0.05 of its total potential returns per unit of risk. White Mountains Insurance is currently generating about 0.21 per unit of volatility. If you would invest 183,198 in White Mountains Insurance on August 24, 2024 and sell it today you would earn a total of 13,934 from holding White Mountains Insurance or generate 7.61% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 95.65% |
| Values | Daily Returns |
J J Snack vs. White Mountains Insurance
Performance |
| Timeline |
| J J Snack |
| White Mountains Insurance |
J J and White Mountains Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with J J and White Mountains
The main advantage of trading using opposite J J and White Mountains positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if J J 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 J J Snack 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.| White Mountains vs. NI Holdings | White Mountains vs. Donegal Group A | White Mountains vs. Donegal Group B | White Mountains vs. The Hanover Insurance |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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