Correlation Between C2E Energy and KAT Exploration
Can any of the company-specific risk be diversified away by investing in both C2E Energy and KAT Exploration 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 C2E Energy and KAT Exploration into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between C2E Energy and KAT Exploration, you can compare the effects of market volatilities on C2E Energy and KAT Exploration 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 C2E Energy with a short position of KAT Exploration. Check out your portfolio center. Please also check ongoing floating volatility patterns of C2E Energy and KAT Exploration.
Diversification Opportunities for C2E Energy and KAT Exploration
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between C2E and KAT is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding C2E Energy and KAT Exploration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KAT Exploration and C2E Energy 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 C2E Energy are associated (or correlated) with KAT Exploration. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KAT Exploration has no effect on the direction of C2E Energy i.e., C2E Energy and KAT Exploration go up and down completely randomly.
Pair Corralation between C2E Energy and KAT Exploration
Given the investment horizon of 90 days C2E Energy is expected to generate 4.69 times less return on investment than KAT Exploration. But when comparing it to its historical volatility, C2E Energy is 2.27 times less risky than KAT Exploration. It trades about 0.05 of its potential returns per unit of risk. KAT Exploration is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 0.24 in KAT Exploration on September 14, 2024 and sell it today you would lose (0.22) from holding KAT Exploration or give up 91.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
C2E Energy vs. KAT Exploration
Performance |
Timeline |
C2E Energy |
KAT Exploration |
C2E Energy and KAT Exploration Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with C2E Energy and KAT Exploration
The main advantage of trading using opposite C2E Energy and KAT Exploration positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if C2E Energy position performs unexpectedly, KAT Exploration 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 KAT Exploration will offset losses from the drop in KAT Exploration's long position.C2E Energy vs. Green Planet Bio | C2E Energy vs. Azure Holding Group | C2E Energy vs. Four Leaf Acquisition | C2E Energy vs. Opus Magnum Ameris |
KAT Exploration vs. Southern ITS International | KAT Exploration vs. UHF Logistics Group | KAT Exploration vs. Intl Star | KAT Exploration vs. Church Crawford |
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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