Correlation Between Nano and BITM
Can any of the company-specific risk be diversified away by investing in both Nano and BITM 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 Nano and BITM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nano and BITM, you can compare the effects of market volatilities on Nano and BITM 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 Nano with a short position of BITM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nano and BITM.
Diversification Opportunities for Nano and BITM
Average diversification
The 3 months correlation between Nano and BITM is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Nano and BITM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BITM and Nano 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 Nano are associated (or correlated) with BITM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BITM has no effect on the direction of Nano i.e., Nano and BITM go up and down completely randomly.
Pair Corralation between Nano and BITM
If you would invest 88.00 in Nano on August 30, 2024 and sell it today you would earn a total of 44.00 from holding Nano or generate 50.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 1.56% |
Values | Daily Returns |
Nano vs. BITM
Performance |
Timeline |
Nano |
BITM |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Nano and BITM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nano and BITM
The main advantage of trading using opposite Nano and BITM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nano position performs unexpectedly, BITM 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 BITM will offset losses from the drop in BITM's long position.The idea behind Nano and BITM 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.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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Other Complementary Tools
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data |