Correlation Between INTERCONT HOTELS and Brown Brown
Can any of the company-specific risk be diversified away by investing in both INTERCONT HOTELS and Brown Brown 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 INTERCONT HOTELS and Brown Brown into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between INTERCONT HOTELS and Brown Brown, you can compare the effects of market volatilities on INTERCONT HOTELS and Brown Brown 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 INTERCONT HOTELS with a short position of Brown Brown. Check out your portfolio center. Please also check ongoing floating volatility patterns of INTERCONT HOTELS and Brown Brown.
Diversification Opportunities for INTERCONT HOTELS and Brown Brown
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between INTERCONT and Brown is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding INTERCONT HOTELS and Brown Brown in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brown Brown and INTERCONT HOTELS 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 INTERCONT HOTELS are associated (or correlated) with Brown Brown. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brown Brown has no effect on the direction of INTERCONT HOTELS i.e., INTERCONT HOTELS and Brown Brown go up and down completely randomly.
Pair Corralation between INTERCONT HOTELS and Brown Brown
Assuming the 90 days trading horizon INTERCONT HOTELS is expected to under-perform the Brown Brown. In addition to that, INTERCONT HOTELS is 1.16 times more volatile than Brown Brown. It trades about -0.15 of its total potential returns per unit of risk. Brown Brown is currently generating about 0.13 per unit of volatility. If you would invest 9,881 in Brown Brown on December 23, 2024 and sell it today you would earn a total of 1,144 from holding Brown Brown or generate 11.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
INTERCONT HOTELS vs. Brown Brown
Performance |
Timeline |
INTERCONT HOTELS |
Brown Brown |
INTERCONT HOTELS and Brown Brown Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with INTERCONT HOTELS and Brown Brown
The main advantage of trading using opposite INTERCONT HOTELS and Brown Brown positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if INTERCONT HOTELS position performs unexpectedly, Brown Brown 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 Brown Brown will offset losses from the drop in Brown Brown's long position.INTERCONT HOTELS vs. Packaging of | INTERCONT HOTELS vs. ERSTE GP BNK | INTERCONT HOTELS vs. W R Berkley | INTERCONT HOTELS vs. News Corporation |
Brown Brown vs. CALTAGIRONE EDITORE | Brown Brown vs. United States Steel | Brown Brown vs. The Japan Steel | Brown Brown vs. FRACTAL GAMING GROUP |
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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