Correlation Between Beeks Trading and MOL Hungarian
Can any of the company-specific risk be diversified away by investing in both Beeks Trading and MOL Hungarian 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 Beeks Trading and MOL Hungarian into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Beeks Trading and MOL Hungarian Oil, you can compare the effects of market volatilities on Beeks Trading and MOL Hungarian 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 Beeks Trading with a short position of MOL Hungarian. Check out your portfolio center. Please also check ongoing floating volatility patterns of Beeks Trading and MOL Hungarian.
Diversification Opportunities for Beeks Trading and MOL Hungarian
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Beeks and MOL is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Beeks Trading and MOL Hungarian Oil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MOL Hungarian Oil and Beeks Trading 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 Beeks Trading are associated (or correlated) with MOL Hungarian. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MOL Hungarian Oil has no effect on the direction of Beeks Trading i.e., Beeks Trading and MOL Hungarian go up and down completely randomly.
Pair Corralation between Beeks Trading and MOL Hungarian
Assuming the 90 days trading horizon Beeks Trading is expected to generate 1.53 times more return on investment than MOL Hungarian. However, Beeks Trading is 1.53 times more volatile than MOL Hungarian Oil. It trades about 0.11 of its potential returns per unit of risk. MOL Hungarian Oil is currently generating about 0.01 per unit of risk. If you would invest 18,000 in Beeks Trading on September 3, 2024 and sell it today you would earn a total of 8,700 from holding Beeks Trading or generate 48.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Beeks Trading vs. MOL Hungarian Oil
Performance |
Timeline |
Beeks Trading |
MOL Hungarian Oil |
Beeks Trading and MOL Hungarian Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Beeks Trading and MOL Hungarian
The main advantage of trading using opposite Beeks Trading and MOL Hungarian positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Beeks Trading position performs unexpectedly, MOL Hungarian 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 MOL Hungarian will offset losses from the drop in MOL Hungarian's long position.Beeks Trading vs. United Utilities Group | Beeks Trading vs. Tyson Foods Cl | Beeks Trading vs. Supermarket Income REIT | Beeks Trading vs. Fortune Brands Home |
MOL Hungarian vs. UNIQA Insurance Group | MOL Hungarian vs. Take Two Interactive Software | MOL Hungarian vs. Tatton Asset Management | MOL Hungarian vs. Synchrony Financial |
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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