Correlation Between Bitcoin and Starguide
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Starguide 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 Bitcoin and Starguide into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and Starguide Group, you can compare the effects of market volatilities on Bitcoin and Starguide 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 Bitcoin with a short position of Starguide. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Starguide.
Diversification Opportunities for Bitcoin and Starguide
Modest diversification
The 3 months correlation between Bitcoin and Starguide is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Starguide Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Starguide Group and Bitcoin 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 Bitcoin are associated (or correlated) with Starguide. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Starguide Group has no effect on the direction of Bitcoin i.e., Bitcoin and Starguide go up and down completely randomly.
Pair Corralation between Bitcoin and Starguide
Assuming the 90 days trading horizon Bitcoin is expected to under-perform the Starguide. But the crypto coin apears to be less risky and, when comparing its historical volatility, Bitcoin is 62.21 times less risky than Starguide. The crypto coin trades about -0.09 of its potential returns per unit of risk. The Starguide Group is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 4.16 in Starguide Group on December 23, 2024 and sell it today you would lose (3.97) from holding Starguide Group or give up 95.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bitcoin vs. Starguide Group
Performance |
Timeline |
Bitcoin |
Starguide Group |
Bitcoin and Starguide Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and Starguide
The main advantage of trading using opposite Bitcoin and Starguide positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Starguide 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 Starguide will offset losses from the drop in Starguide's long position.The idea behind Bitcoin and Starguide Group 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.Starguide vs. A1 Group | Starguide vs. Awaysis Capital | Starguide vs. Carefree Group | Starguide vs. Borealis Exploration |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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