Correlation Between Bitcoin and GWILLI FOOD
Can any of the company-specific risk be diversified away by investing in both Bitcoin and GWILLI FOOD 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 GWILLI FOOD into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and GWILLI FOOD, you can compare the effects of market volatilities on Bitcoin and GWILLI FOOD 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 GWILLI FOOD. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and GWILLI FOOD.
Diversification Opportunities for Bitcoin and GWILLI FOOD
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bitcoin and GWILLI is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and GWILLI FOOD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GWILLI FOOD 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 GWILLI FOOD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GWILLI FOOD has no effect on the direction of Bitcoin i.e., Bitcoin and GWILLI FOOD go up and down completely randomly.
Pair Corralation between Bitcoin and GWILLI FOOD
Assuming the 90 days trading horizon Bitcoin is expected to generate 1.37 times less return on investment than GWILLI FOOD. In addition to that, Bitcoin is 1.31 times more volatile than GWILLI FOOD. It trades about 0.11 of its total potential returns per unit of risk. GWILLI FOOD is currently generating about 0.2 per unit of volatility. If you would invest 1,450 in GWILLI FOOD on October 9, 2024 and sell it today you would earn a total of 100.00 from holding GWILLI FOOD or generate 6.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 80.95% |
Values | Daily Returns |
Bitcoin vs. GWILLI FOOD
Performance |
Timeline |
Bitcoin |
GWILLI FOOD |
Bitcoin and GWILLI FOOD Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and GWILLI FOOD
The main advantage of trading using opposite Bitcoin and GWILLI FOOD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, GWILLI FOOD 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 GWILLI FOOD will offset losses from the drop in GWILLI FOOD's long position.The idea behind Bitcoin and GWILLI FOOD 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.GWILLI FOOD vs. Transport International Holdings | GWILLI FOOD vs. Ryanair Holdings plc | GWILLI FOOD vs. SEALED AIR | GWILLI FOOD vs. SOGECLAIR SA INH |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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