Correlation Between Ford and Fubon NIFTY
Can any of the company-specific risk be diversified away by investing in both Ford and Fubon NIFTY 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 Fubon NIFTY into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Fubon NIFTY, you can compare the effects of market volatilities on Ford and Fubon NIFTY 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 Fubon NIFTY. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Fubon NIFTY.
Diversification Opportunities for Ford and Fubon NIFTY
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ford and Fubon is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Fubon NIFTY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fubon NIFTY 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 Fubon NIFTY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fubon NIFTY has no effect on the direction of Ford i.e., Ford and Fubon NIFTY go up and down completely randomly.
Pair Corralation between Ford and Fubon NIFTY
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Fubon NIFTY. In addition to that, Ford is 1.62 times more volatile than Fubon NIFTY. It trades about -0.31 of its total potential returns per unit of risk. Fubon NIFTY is currently generating about 0.19 per unit of volatility. If you would invest 3,736 in Fubon NIFTY on September 17, 2024 and sell it today you would earn a total of 161.00 from holding Fubon NIFTY or generate 4.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Ford Motor vs. Fubon NIFTY
Performance |
Timeline |
Ford Motor |
Fubon NIFTY |
Ford and Fubon NIFTY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Fubon NIFTY
The main advantage of trading using opposite Ford and Fubon NIFTY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Fubon NIFTY 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 Fubon NIFTY will offset losses from the drop in Fubon NIFTY's long position.The idea behind Ford Motor and Fubon NIFTY 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.Fubon NIFTY vs. YuantaP shares Taiwan Top | Fubon NIFTY vs. Yuanta Daily Taiwan | Fubon NIFTY vs. Cathay Taiwan 5G | Fubon NIFTY vs. Yuanta Daily CSI |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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