Correlation Between Automatic Data and BII Railway
Can any of the company-specific risk be diversified away by investing in both Automatic Data and BII Railway 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 Automatic Data and BII Railway into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Automatic Data Processing and BII Railway Transportation, you can compare the effects of market volatilities on Automatic Data and BII Railway 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 Automatic Data with a short position of BII Railway. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and BII Railway.
Diversification Opportunities for Automatic Data and BII Railway
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Automatic and BII is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and BII Railway Transportation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BII Railway Transpor and Automatic Data 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 Automatic Data Processing are associated (or correlated) with BII Railway. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BII Railway Transpor has no effect on the direction of Automatic Data i.e., Automatic Data and BII Railway go up and down completely randomly.
Pair Corralation between Automatic Data and BII Railway
Assuming the 90 days horizon Automatic Data Processing is expected to under-perform the BII Railway. But the stock apears to be less risky and, when comparing its historical volatility, Automatic Data Processing is 1.15 times less risky than BII Railway. The stock trades about -0.04 of its potential returns per unit of risk. The BII Railway Transportation is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 2.80 in BII Railway Transportation on December 20, 2024 and sell it today you would earn a total of 0.10 from holding BII Railway Transportation or generate 3.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Automatic Data Processing vs. BII Railway Transportation
Performance |
Timeline |
Automatic Data Processing |
BII Railway Transpor |
Automatic Data and BII Railway Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automatic Data and BII Railway
The main advantage of trading using opposite Automatic Data and BII Railway positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, BII Railway 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 BII Railway will offset losses from the drop in BII Railway's long position.Automatic Data vs. Hellenic Telecommunications Organization | Automatic Data vs. BOSTON BEER A | Automatic Data vs. Tsingtao Brewery | Automatic Data vs. INTERSHOP Communications Aktiengesellschaft |
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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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