Correlation Between Bitcoin and Morgan Stanley
Can any of the company-specific risk be diversified away by investing in both Bitcoin and Morgan Stanley 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 Morgan Stanley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitcoin and Morgan Stanley Multi, you can compare the effects of market volatilities on Bitcoin and Morgan Stanley 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 Morgan Stanley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitcoin and Morgan Stanley.
Diversification Opportunities for Bitcoin and Morgan Stanley
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bitcoin and Morgan is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Bitcoin and Morgan Stanley Multi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Morgan Stanley Multi 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 Morgan Stanley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Morgan Stanley Multi has no effect on the direction of Bitcoin i.e., Bitcoin and Morgan Stanley go up and down completely randomly.
Pair Corralation between Bitcoin and Morgan Stanley
Assuming the 90 days trading horizon Bitcoin is expected to under-perform the Morgan Stanley. In addition to that, Bitcoin is 1.09 times more volatile than Morgan Stanley Multi. It trades about -0.14 of its total potential returns per unit of risk. Morgan Stanley Multi is currently generating about -0.11 per unit of volatility. If you would invest 1,561 in Morgan Stanley Multi on October 12, 2024 and sell it today you would lose (77.00) from holding Morgan Stanley Multi or give up 4.93% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 90.91% |
| Values | Daily Returns |
Bitcoin vs. Morgan Stanley Multi
Performance |
| Timeline |
| Bitcoin |
| Morgan Stanley Multi |
Bitcoin and Morgan Stanley Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bitcoin and Morgan Stanley
The main advantage of trading using opposite Bitcoin and Morgan Stanley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitcoin position performs unexpectedly, Morgan Stanley 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 Morgan Stanley will offset losses from the drop in Morgan Stanley's long position.The idea behind Bitcoin and Morgan Stanley Multi 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.| Morgan Stanley vs. Emerging Markets Equity | Morgan Stanley vs. Global Fixed Income | Morgan Stanley vs. Global Fixed Income | Morgan Stanley vs. Global Fixed Income |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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