Correlation Between Ford and SBI Holdings
Can any of the company-specific risk be diversified away by investing in both Ford and SBI Holdings 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 Ford and SBI Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and SBI Holdings, you can compare the effects of market volatilities on Ford and SBI Holdings 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 Ford with a short position of SBI Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and SBI Holdings.
Diversification Opportunities for Ford and SBI Holdings
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ford and SBI is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and SBI Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBI Holdings and Ford 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 Ford Motor are associated (or correlated) with SBI Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SBI Holdings has no effect on the direction of Ford i.e., Ford and SBI Holdings go up and down completely randomly.
Pair Corralation between Ford and SBI Holdings
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the SBI Holdings. In addition to that, Ford is 1.0 times more volatile than SBI Holdings. It trades about -0.07 of its total potential returns per unit of risk. SBI Holdings is currently generating about 0.19 per unit of volatility. If you would invest 1,970 in SBI Holdings on October 26, 2024 and sell it today you would earn a total of 470.00 from holding SBI Holdings or generate 23.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. SBI Holdings
Performance |
Timeline |
Ford Motor |
SBI Holdings |
Ford and SBI Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and SBI Holdings
The main advantage of trading using opposite Ford and SBI Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, SBI Holdings 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 SBI Holdings will offset losses from the drop in SBI Holdings' long position.The idea behind Ford Motor and SBI Holdings 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.SBI Holdings vs. PICKN PAY STORES | SBI Holdings vs. DEVRY EDUCATION GRP | SBI Holdings vs. CHINA EDUCATION GROUP | SBI Holdings vs. COSTCO WHOLESALE CDR |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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