Correlation Between Bitcoin and Yorktown Small
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Yorktown Small 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 Yorktown Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and Yorktown Small Cap Fund, you can compare the effects of market volatilities on Bitcoin and Yorktown Small 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 Yorktown Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Yorktown Small.
Diversification Opportunities for Bitcoin and Yorktown Small
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bitcoin and Yorktown is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Yorktown Small Cap Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yorktown Small Cap 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 Yorktown Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yorktown Small Cap has no effect on the direction of Bitcoin i.e., Bitcoin and Yorktown Small go up and down completely randomly.
Pair Corralation between Bitcoin and Yorktown Small
Assuming the 90 days trading horizon Bitcoin is expected to under-perform the Yorktown Small. In addition to that, Bitcoin is 1.96 times more volatile than Yorktown Small Cap Fund. It trades about -0.14 of its total potential returns per unit of risk. Yorktown Small Cap Fund is currently generating about -0.25 per unit of volatility. If you would invest 1,680 in Yorktown Small Cap Fund on October 12, 2024 and sell it today you would lose (100.00) from holding Yorktown Small Cap Fund or give up 5.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Bitcoin vs. Yorktown Small Cap Fund
Performance |
Timeline |
Bitcoin |
Yorktown Small Cap |
Bitcoin and Yorktown Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and Yorktown Small
The main advantage of trading using opposite Bitcoin and Yorktown Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Yorktown Small 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 Yorktown Small will offset losses from the drop in Yorktown Small's long position.The idea behind Bitcoin and Yorktown Small Cap Fund 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.Yorktown Small vs. Ashmore Emerging Markets | Yorktown Small vs. Origin Emerging Markets | Yorktown Small vs. Balanced Strategy Fund | Yorktown Small vs. Nasdaq 100 2x Strategy |
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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