Correlation Between Nicola Mining and Brompton Energy
Can any of the company-specific risk be diversified away by investing in both Nicola Mining and Brompton 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 Nicola Mining and Brompton Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nicola Mining and Brompton Energy Split, you can compare the effects of market volatilities on Nicola Mining and Brompton 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 Nicola Mining with a short position of Brompton Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nicola Mining and Brompton Energy.
Diversification Opportunities for Nicola Mining and Brompton Energy
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Nicola and Brompton is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Nicola Mining and Brompton Energy Split in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brompton Energy Split and Nicola Mining 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 Nicola Mining are associated (or correlated) with Brompton Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brompton Energy Split has no effect on the direction of Nicola Mining i.e., Nicola Mining and Brompton Energy go up and down completely randomly.
Pair Corralation between Nicola Mining and Brompton Energy
Assuming the 90 days horizon Nicola Mining is expected to generate 1.62 times more return on investment than Brompton Energy. However, Nicola Mining is 1.62 times more volatile than Brompton Energy Split. It trades about 0.13 of its potential returns per unit of risk. Brompton Energy Split is currently generating about -0.01 per unit of risk. If you would invest 28.00 in Nicola Mining on December 24, 2024 and sell it today you would earn a total of 9.00 from holding Nicola Mining or generate 32.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Nicola Mining vs. Brompton Energy Split
Performance |
Timeline |
Nicola Mining |
Brompton Energy Split |
Nicola Mining and Brompton Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nicola Mining and Brompton Energy
The main advantage of trading using opposite Nicola Mining and Brompton Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nicola Mining position performs unexpectedly, Brompton 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 Brompton Energy will offset losses from the drop in Brompton Energy's long position.Nicola Mining vs. Kingsmen Resources | Nicola Mining vs. Gunpoint Exploration | Nicola Mining vs. Themac Resources Group | Nicola Mining vs. Magna Terra Minerals |
Brompton Energy vs. Diamond Estates Wines | Brompton Energy vs. Fairfax Financial Holdings | Brompton Energy vs. InPlay Oil Corp | Brompton Energy vs. Olympia Financial Group |
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.
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