Correlation Between Fisher Paykel and Jupiter Energy
Can any of the company-specific risk be diversified away by investing in both Fisher Paykel and Jupiter Energy 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 Fisher Paykel and Jupiter Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fisher Paykel Healthcare and Jupiter Energy, you can compare the effects of market volatilities on Fisher Paykel and Jupiter Energy 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 Fisher Paykel with a short position of Jupiter Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fisher Paykel and Jupiter Energy.
Diversification Opportunities for Fisher Paykel and Jupiter Energy
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fisher and Jupiter is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Fisher Paykel Healthcare and Jupiter Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jupiter Energy and Fisher Paykel 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 Fisher Paykel Healthcare are associated (or correlated) with Jupiter Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jupiter Energy has no effect on the direction of Fisher Paykel i.e., Fisher Paykel and Jupiter Energy go up and down completely randomly.
Pair Corralation between Fisher Paykel and Jupiter Energy
Assuming the 90 days trading horizon Fisher Paykel Healthcare is expected to under-perform the Jupiter Energy. But the stock apears to be less risky and, when comparing its historical volatility, Fisher Paykel Healthcare is 1.36 times less risky than Jupiter Energy. The stock trades about -0.13 of its potential returns per unit of risk. The Jupiter Energy is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 3.00 in Jupiter Energy on December 30, 2024 and sell it today you would earn a total of 0.10 from holding Jupiter Energy or generate 3.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fisher Paykel Healthcare vs. Jupiter Energy
Performance |
Timeline |
Fisher Paykel Healthcare |
Jupiter Energy |
Fisher Paykel and Jupiter Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fisher Paykel and Jupiter Energy
The main advantage of trading using opposite Fisher Paykel and Jupiter Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fisher Paykel position performs unexpectedly, Jupiter Energy 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 Jupiter Energy will offset losses from the drop in Jupiter Energy's long position.Fisher Paykel vs. Zeotech | Fisher Paykel vs. Home Consortium | Fisher Paykel vs. Ras Technology Holdings | Fisher Paykel vs. Neurotech International |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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