Correlation Between Step One and Energy Technologies
Can any of the company-specific risk be diversified away by investing in both Step One and Energy Technologies 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 Step One and Energy Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Step One Clothing and Energy Technologies Limited, you can compare the effects of market volatilities on Step One and Energy Technologies 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 Step One with a short position of Energy Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Step One and Energy Technologies.
Diversification Opportunities for Step One and Energy Technologies
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Step and Energy is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Step One Clothing and Energy Technologies Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Energy Technologies and Step One 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 Step One Clothing are associated (or correlated) with Energy Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Energy Technologies has no effect on the direction of Step One i.e., Step One and Energy Technologies go up and down completely randomly.
Pair Corralation between Step One and Energy Technologies
Assuming the 90 days trading horizon Step One Clothing is expected to generate 1.55 times more return on investment than Energy Technologies. However, Step One is 1.55 times more volatile than Energy Technologies Limited. It trades about 0.0 of its potential returns per unit of risk. Energy Technologies Limited is currently generating about -0.03 per unit of risk. If you would invest 135.00 in Step One Clothing on September 26, 2024 and sell it today you would lose (11.00) from holding Step One Clothing or give up 8.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Step One Clothing vs. Energy Technologies Limited
Performance |
Timeline |
Step One Clothing |
Energy Technologies |
Step One and Energy Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Step One and Energy Technologies
The main advantage of trading using opposite Step One and Energy Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Step One position performs unexpectedly, Energy Technologies 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 Energy Technologies will offset losses from the drop in Energy Technologies' long position.Step One vs. Prodigy Gold NL | Step One vs. Enegex NL | Step One vs. Pointsbet Holdings | Step One vs. Cardno |
Energy Technologies vs. Spirit Telecom | Energy Technologies vs. Metro Mining | Energy Technologies vs. MetalsGrove Mining | Energy Technologies vs. TPG Telecom |
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.
Other Complementary Tools
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges |