Correlation Between Bitcoin and Franklin Small
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Franklin 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 Franklin Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and Franklin Small Cap, you can compare the effects of market volatilities on Bitcoin and Franklin 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 Franklin Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Franklin Small.
Diversification Opportunities for Bitcoin and Franklin Small
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bitcoin and Franklin is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Franklin Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin 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 Franklin Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Small Cap has no effect on the direction of Bitcoin i.e., Bitcoin and Franklin Small go up and down completely randomly.
Pair Corralation between Bitcoin and Franklin Small
Assuming the 90 days trading horizon Bitcoin is expected to under-perform the Franklin Small. In addition to that, Bitcoin is 1.78 times more volatile than Franklin Small Cap. It trades about -0.09 of its total potential returns per unit of risk. Franklin Small Cap is currently generating about -0.12 per unit of volatility. If you would invest 1,595 in Franklin Small Cap on December 22, 2024 and sell it today you would lose (152.00) from holding Franklin Small Cap or give up 9.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 93.75% |
Values | Daily Returns |
Bitcoin vs. Franklin Small Cap
Performance |
Timeline |
Bitcoin |
Franklin Small Cap |
Bitcoin and Franklin Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitcoin and Franklin Small
The main advantage of trading using opposite Bitcoin and Franklin Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Franklin 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 Franklin Small will offset losses from the drop in Franklin Small's long position.The idea behind Bitcoin and Franklin Small Cap 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.Franklin Small vs. Pace Smallmedium Value | Franklin Small vs. Touchstone Small Cap | Franklin Small vs. Aqr Small Cap | Franklin Small vs. Glg Intl Small |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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