Correlation Between GMS and NET Power
Can any of the company-specific risk be diversified away by investing in both GMS and NET Power 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 GMS and NET Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GMS Inc and NET Power, you can compare the effects of market volatilities on GMS and NET Power 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 GMS with a short position of NET Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of GMS and NET Power.
Diversification Opportunities for GMS and NET Power
Very weak diversification
The 3 months correlation between GMS and NET is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding GMS Inc and NET Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NET Power and GMS 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 GMS Inc are associated (or correlated) with NET Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NET Power has no effect on the direction of GMS i.e., GMS and NET Power go up and down completely randomly.
Pair Corralation between GMS and NET Power
Considering the 90-day investment horizon GMS Inc is expected to under-perform the NET Power. But the stock apears to be less risky and, when comparing its historical volatility, GMS Inc is 3.85 times less risky than NET Power. The stock trades about -0.7 of its potential returns per unit of risk. The NET Power is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 1,070 in NET Power on October 8, 2024 and sell it today you would earn a total of 54.00 from holding NET Power or generate 5.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
GMS Inc vs. NET Power
Performance |
Timeline |
GMS Inc |
NET Power |
GMS and NET Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GMS and NET Power
The main advantage of trading using opposite GMS and NET Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GMS position performs unexpectedly, NET Power 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 NET Power will offset losses from the drop in NET Power's long position.GMS vs. Quanex Building Products | GMS vs. Apogee Enterprises | GMS vs. Azek Company | GMS vs. Beacon Roofing Supply |
NET Power vs. Highway Holdings Limited | NET Power vs. Copperbank Resources Corp | NET Power vs. Uranium Energy Corp | NET Power vs. Pentair PLC |
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.
Other Complementary Tools
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Global Correlations Find global opportunities by holding instruments from different markets |