Correlation Between KENEDIX OFFICE and Altair Engineering
Can any of the company-specific risk be diversified away by investing in both KENEDIX OFFICE and Altair Engineering 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 KENEDIX OFFICE and Altair Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KENEDIX OFFICE INV and Altair Engineering, you can compare the effects of market volatilities on KENEDIX OFFICE and Altair Engineering 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 KENEDIX OFFICE with a short position of Altair Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of KENEDIX OFFICE and Altair Engineering.
Diversification Opportunities for KENEDIX OFFICE and Altair Engineering
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between KENEDIX and Altair is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding KENEDIX OFFICE INV and Altair Engineering in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Altair Engineering and KENEDIX OFFICE 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 KENEDIX OFFICE INV are associated (or correlated) with Altair Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Altair Engineering has no effect on the direction of KENEDIX OFFICE i.e., KENEDIX OFFICE and Altair Engineering go up and down completely randomly.
Pair Corralation between KENEDIX OFFICE and Altair Engineering
Assuming the 90 days horizon KENEDIX OFFICE INV is expected to generate 3.08 times more return on investment than Altair Engineering. However, KENEDIX OFFICE is 3.08 times more volatile than Altair Engineering. It trades about 0.08 of its potential returns per unit of risk. Altair Engineering is currently generating about 0.18 per unit of risk. If you would invest 87,000 in KENEDIX OFFICE INV on October 23, 2024 and sell it today you would earn a total of 2,000 from holding KENEDIX OFFICE INV or generate 2.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
KENEDIX OFFICE INV vs. Altair Engineering
Performance |
Timeline |
KENEDIX OFFICE INV |
Altair Engineering |
KENEDIX OFFICE and Altair Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KENEDIX OFFICE and Altair Engineering
The main advantage of trading using opposite KENEDIX OFFICE and Altair Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KENEDIX OFFICE position performs unexpectedly, Altair Engineering 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 Altair Engineering will offset losses from the drop in Altair Engineering's long position.KENEDIX OFFICE vs. Apple Inc | KENEDIX OFFICE vs. Apple Inc | KENEDIX OFFICE vs. Apple Inc | KENEDIX OFFICE vs. Apple Inc |
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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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