Correlation Between Brockhaus Capital and MGIC INVESTMENT
Can any of the company-specific risk be diversified away by investing in both Brockhaus Capital and MGIC INVESTMENT 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 Brockhaus Capital and MGIC INVESTMENT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brockhaus Capital Management and MGIC INVESTMENT, you can compare the effects of market volatilities on Brockhaus Capital and MGIC INVESTMENT 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 Brockhaus Capital with a short position of MGIC INVESTMENT. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brockhaus Capital and MGIC INVESTMENT.
Diversification Opportunities for Brockhaus Capital and MGIC INVESTMENT
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Brockhaus and MGIC is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Brockhaus Capital Management and MGIC INVESTMENT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MGIC INVESTMENT and Brockhaus Capital 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 Brockhaus Capital Management are associated (or correlated) with MGIC INVESTMENT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MGIC INVESTMENT has no effect on the direction of Brockhaus Capital i.e., Brockhaus Capital and MGIC INVESTMENT go up and down completely randomly.
Pair Corralation between Brockhaus Capital and MGIC INVESTMENT
Assuming the 90 days trading horizon Brockhaus Capital is expected to generate 2.7 times less return on investment than MGIC INVESTMENT. In addition to that, Brockhaus Capital is 2.27 times more volatile than MGIC INVESTMENT. It trades about 0.02 of its total potential returns per unit of risk. MGIC INVESTMENT is currently generating about 0.12 per unit of volatility. If you would invest 1,147 in MGIC INVESTMENT on September 19, 2024 and sell it today you would earn a total of 1,173 from holding MGIC INVESTMENT or generate 102.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Brockhaus Capital Management vs. MGIC INVESTMENT
Performance |
Timeline |
Brockhaus Capital |
MGIC INVESTMENT |
Brockhaus Capital and MGIC INVESTMENT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Brockhaus Capital and MGIC INVESTMENT
The main advantage of trading using opposite Brockhaus Capital and MGIC INVESTMENT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brockhaus Capital position performs unexpectedly, MGIC INVESTMENT 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 MGIC INVESTMENT will offset losses from the drop in MGIC INVESTMENT's long position.Brockhaus Capital vs. Warner Music Group | Brockhaus Capital vs. OURGAME INTHOLDL 00005 | Brockhaus Capital vs. Boyd Gaming | Brockhaus Capital vs. Dave Busters Entertainment |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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