Correlation Between AXWAY SOFTWARE and INTERCONT HOTELS
Can any of the company-specific risk be diversified away by investing in both AXWAY SOFTWARE and INTERCONT HOTELS 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 AXWAY SOFTWARE and INTERCONT HOTELS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AXWAY SOFTWARE EO and INTERCONT HOTELS, you can compare the effects of market volatilities on AXWAY SOFTWARE and INTERCONT HOTELS 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 AXWAY SOFTWARE with a short position of INTERCONT HOTELS. Check out your portfolio center. Please also check ongoing floating volatility patterns of AXWAY SOFTWARE and INTERCONT HOTELS.
Diversification Opportunities for AXWAY SOFTWARE and INTERCONT HOTELS
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between AXWAY and INTERCONT is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding AXWAY SOFTWARE EO and INTERCONT HOTELS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on INTERCONT HOTELS and AXWAY SOFTWARE 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 AXWAY SOFTWARE EO are associated (or correlated) with INTERCONT HOTELS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of INTERCONT HOTELS has no effect on the direction of AXWAY SOFTWARE i.e., AXWAY SOFTWARE and INTERCONT HOTELS go up and down completely randomly.
Pair Corralation between AXWAY SOFTWARE and INTERCONT HOTELS
Assuming the 90 days horizon AXWAY SOFTWARE is expected to generate 3.22 times less return on investment than INTERCONT HOTELS. But when comparing it to its historical volatility, AXWAY SOFTWARE EO is 2.14 times less risky than INTERCONT HOTELS. It trades about 0.15 of its potential returns per unit of risk. INTERCONT HOTELS is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 10,200 in INTERCONT HOTELS on August 28, 2024 and sell it today you would earn a total of 1,400 from holding INTERCONT HOTELS or generate 13.73% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
AXWAY SOFTWARE EO vs. INTERCONT HOTELS
Performance |
| Timeline |
| AXWAY SOFTWARE EO |
| INTERCONT HOTELS |
AXWAY SOFTWARE and INTERCONT HOTELS Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with AXWAY SOFTWARE and INTERCONT HOTELS
The main advantage of trading using opposite AXWAY SOFTWARE and INTERCONT HOTELS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AXWAY SOFTWARE position performs unexpectedly, INTERCONT HOTELS 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 INTERCONT HOTELS will offset losses from the drop in INTERCONT HOTELS's long position.| AXWAY SOFTWARE vs. INTERCONT HOTELS | AXWAY SOFTWARE vs. FUYO GENERAL LEASE | AXWAY SOFTWARE vs. NH HOTEL GROUP | AXWAY SOFTWARE vs. Air Lease |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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