Correlation Between FDC International and Mercuries Data
Can any of the company-specific risk be diversified away by investing in both FDC International and Mercuries Data 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 FDC International and Mercuries Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FDC International Hotels and Mercuries Data Systems, you can compare the effects of market volatilities on FDC International and Mercuries Data 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 FDC International with a short position of Mercuries Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of FDC International and Mercuries Data.
Diversification Opportunities for FDC International and Mercuries Data
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between FDC and Mercuries is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding FDC International Hotels and Mercuries Data Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mercuries Data Systems and FDC International 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 FDC International Hotels are associated (or correlated) with Mercuries Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mercuries Data Systems has no effect on the direction of FDC International i.e., FDC International and Mercuries Data go up and down completely randomly.
Pair Corralation between FDC International and Mercuries Data
Assuming the 90 days trading horizon FDC International Hotels is expected to under-perform the Mercuries Data. But the stock apears to be less risky and, when comparing its historical volatility, FDC International Hotels is 1.12 times less risky than Mercuries Data. The stock trades about -0.01 of its potential returns per unit of risk. The Mercuries Data Systems is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 2,700 in Mercuries Data Systems on December 24, 2024 and sell it today you would earn a total of 125.00 from holding Mercuries Data Systems or generate 4.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
FDC International Hotels vs. Mercuries Data Systems
Performance |
Timeline |
FDC International Hotels |
Mercuries Data Systems |
FDC International and Mercuries Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FDC International and Mercuries Data
The main advantage of trading using opposite FDC International and Mercuries Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FDC International position performs unexpectedly, Mercuries Data 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 Mercuries Data will offset losses from the drop in Mercuries Data's long position.FDC International vs. Formosa International Hotels | FDC International vs. My Humble House | FDC International vs. Wanhwa Enterprise Co | FDC International vs. Gourmet Master Co |
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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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