Correlation Between Book and Military Insurance
Can any of the company-specific risk be diversified away by investing in both Book and Military 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 Book and Military Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Book And Educational and Military Insurance Corp, you can compare the effects of market volatilities on Book and Military 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 Book with a short position of Military Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Book and Military Insurance.
Diversification Opportunities for Book and Military Insurance
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Book and Military is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Book And Educational and Military Insurance Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Military Insurance Corp and Book 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 Book And Educational are associated (or correlated) with Military Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Military Insurance Corp has no effect on the direction of Book i.e., Book and Military Insurance go up and down completely randomly.
Pair Corralation between Book and Military Insurance
Assuming the 90 days trading horizon Book And Educational is expected to generate 2.41 times more return on investment than Military Insurance. However, Book is 2.41 times more volatile than Military Insurance Corp. It trades about 0.05 of its potential returns per unit of risk. Military Insurance Corp is currently generating about 0.13 per unit of risk. If you would invest 1,670,000 in Book And Educational on September 20, 2024 and sell it today you would earn a total of 30,000 from holding Book And Educational or generate 1.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 50.0% |
Values | Daily Returns |
Book And Educational vs. Military Insurance Corp
Performance |
Timeline |
Book And Educational |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Military Insurance Corp |
Book and Military Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Book and Military Insurance
The main advantage of trading using opposite Book and Military Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Book position performs unexpectedly, Military 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 Military Insurance will offset losses from the drop in Military Insurance's long position.Book vs. Educational Book In | Book vs. South Basic Chemicals | Book vs. Post and Telecommunications | Book vs. Vnsteel Vicasa JSC |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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