Correlation Between GP Investments and Iron Mountain
Can any of the company-specific risk be diversified away by investing in both GP Investments and Iron Mountain 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 GP Investments and Iron Mountain into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GP Investments and Iron Mountain Incorporated, you can compare the effects of market volatilities on GP Investments and Iron Mountain 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 GP Investments with a short position of Iron Mountain. Check out your portfolio center. Please also check ongoing floating volatility patterns of GP Investments and Iron Mountain.
Diversification Opportunities for GP Investments and Iron Mountain
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GPIV33 and Iron is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding GP Investments and Iron Mountain Incorporated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Iron Mountain and GP Investments 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 GP Investments are associated (or correlated) with Iron Mountain. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Iron Mountain has no effect on the direction of GP Investments i.e., GP Investments and Iron Mountain go up and down completely randomly.
Pair Corralation between GP Investments and Iron Mountain
Assuming the 90 days trading horizon GP Investments is expected to under-perform the Iron Mountain. But the stock apears to be less risky and, when comparing its historical volatility, GP Investments is 1.35 times less risky than Iron Mountain. The stock trades about -0.07 of its potential returns per unit of risk. The Iron Mountain Incorporated is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 73,926 in Iron Mountain Incorporated on September 1, 2024 and sell it today you would earn a total of 549.00 from holding Iron Mountain Incorporated or generate 0.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
GP Investments vs. Iron Mountain Incorporated
Performance |
Timeline |
GP Investments |
Iron Mountain |
GP Investments and Iron Mountain Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GP Investments and Iron Mountain
The main advantage of trading using opposite GP Investments and Iron Mountain positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GP Investments position performs unexpectedly, Iron Mountain 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 Iron Mountain will offset losses from the drop in Iron Mountain's long position.GP Investments vs. Banco BTG Pactual | GP Investments vs. Banco BTG Pactual | GP Investments vs. Bradespar SA | GP Investments vs. Hsi Malls Fundo |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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