Correlation Between SOFI TECHNOLOGIES and Japan Petroleum
Can any of the company-specific risk be diversified away by investing in both SOFI TECHNOLOGIES and Japan Petroleum 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 Japan Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SOFI TECHNOLOGIES and Japan Petroleum Exploration, you can compare the effects of market volatilities on SOFI TECHNOLOGIES and Japan Petroleum 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 Japan Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of SOFI TECHNOLOGIES and Japan Petroleum.
Diversification Opportunities for SOFI TECHNOLOGIES and Japan Petroleum
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between SOFI and Japan is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding SOFI TECHNOLOGIES and Japan Petroleum Exploration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Japan Petroleum Expl 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 Japan Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Japan Petroleum Expl has no effect on the direction of SOFI TECHNOLOGIES i.e., SOFI TECHNOLOGIES and Japan Petroleum go up and down completely randomly.
Pair Corralation between SOFI TECHNOLOGIES and Japan Petroleum
Assuming the 90 days horizon SOFI TECHNOLOGIES is expected to generate 2.86 times more return on investment than Japan Petroleum. However, SOFI TECHNOLOGIES is 2.86 times more volatile than Japan Petroleum Exploration. It trades about 0.18 of its potential returns per unit of risk. Japan Petroleum Exploration is currently generating about -0.02 per unit of risk. If you would invest 1,517 in SOFI TECHNOLOGIES on October 27, 2024 and sell it today you would earn a total of 205.00 from holding SOFI TECHNOLOGIES or generate 13.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.0% |
Values | Daily Returns |
SOFI TECHNOLOGIES vs. Japan Petroleum Exploration
Performance |
Timeline |
SOFI TECHNOLOGIES |
Japan Petroleum Expl |
SOFI TECHNOLOGIES and Japan Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SOFI TECHNOLOGIES and Japan Petroleum
The main advantage of trading using opposite SOFI TECHNOLOGIES and Japan Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SOFI TECHNOLOGIES position performs unexpectedly, Japan Petroleum 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 Japan Petroleum will offset losses from the drop in Japan Petroleum's long position.SOFI TECHNOLOGIES vs. Apple Inc | SOFI TECHNOLOGIES vs. Apple Inc | SOFI TECHNOLOGIES vs. Apple Inc | SOFI TECHNOLOGIES vs. Apple Inc |
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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 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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