Correlation Between Cardano and Brookfield
Can any of the company-specific risk be diversified away by investing in both Cardano and Brookfield 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 Cardano and Brookfield into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cardano and Brookfield, you can compare the effects of market volatilities on Cardano and Brookfield 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 Cardano with a short position of Brookfield. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cardano and Brookfield.
Diversification Opportunities for Cardano and Brookfield
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Cardano and Brookfield is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Cardano and Brookfield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brookfield and Cardano 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 Cardano are associated (or correlated) with Brookfield. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brookfield has no effect on the direction of Cardano i.e., Cardano and Brookfield go up and down completely randomly.
Pair Corralation between Cardano and Brookfield
Assuming the 90 days trading horizon Cardano is expected to generate 3.06 times more return on investment than Brookfield. However, Cardano is 3.06 times more volatile than Brookfield. It trades about 0.11 of its potential returns per unit of risk. Brookfield is currently generating about 0.14 per unit of risk. If you would invest 46.00 in Cardano on October 24, 2024 and sell it today you would earn a total of 55.00 from holding Cardano or generate 119.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 70.85% |
Values | Daily Returns |
Cardano vs. Brookfield
Performance |
Timeline |
Cardano |
Brookfield |
Cardano and Brookfield Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cardano and Brookfield
The main advantage of trading using opposite Cardano and Brookfield positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cardano position performs unexpectedly, Brookfield 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 Brookfield will offset losses from the drop in Brookfield's long position.The idea behind Cardano and Brookfield pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Brookfield vs. Bradespar SA | Brookfield vs. Metalurgica Gerdau SA | Brookfield vs. Banco Bradesco SA | Brookfield vs. Companhia Paranaense de |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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