Correlation Between SoFi Technologies and Dow Jones
Can any of the company-specific risk be diversified away by investing in both SoFi Technologies and Dow Jones 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 SoFi Technologies and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SoFi Technologies and Dow Jones Industrial, you can compare the effects of market volatilities on SoFi Technologies and Dow Jones 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 SoFi Technologies with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of SoFi Technologies and Dow Jones.
Diversification Opportunities for SoFi Technologies and Dow Jones
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between SoFi and Dow is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding SoFi Technologies and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and SoFi Technologies 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 SoFi Technologies are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of SoFi Technologies i.e., SoFi Technologies and Dow Jones go up and down completely randomly.
Pair Corralation between SoFi Technologies and Dow Jones
Given the investment horizon of 90 days SoFi Technologies is expected to generate 4.28 times more return on investment than Dow Jones. However, SoFi Technologies is 4.28 times more volatile than Dow Jones Industrial. It trades about 0.32 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.04 per unit of risk. If you would invest 792.00 in SoFi Technologies on September 23, 2024 and sell it today you would earn a total of 743.00 from holding SoFi Technologies or generate 93.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SoFi Technologies vs. Dow Jones Industrial
Performance |
Timeline |
SoFi Technologies and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
SoFi Technologies
Pair trading matchups for SoFi Technologies
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with SoFi Technologies and Dow Jones
The main advantage of trading using opposite SoFi Technologies and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SoFi Technologies position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.SoFi Technologies vs. Visa Class A | SoFi Technologies vs. Mastercard | SoFi Technologies vs. Ally Financial | SoFi Technologies vs. Discover Financial Services |
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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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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