Correlation Between Hyundai and Ally Financial
Can any of the company-specific risk be diversified away by investing in both Hyundai and Ally Financial 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 Hyundai and Ally Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hyundai Motor and Ally Financial, you can compare the effects of market volatilities on Hyundai and Ally Financial 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 Hyundai with a short position of Ally Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hyundai and Ally Financial.
Diversification Opportunities for Hyundai and Ally Financial
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Hyundai and Ally is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Hyundai Motor and Ally Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ally Financial and Hyundai 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 Hyundai Motor are associated (or correlated) with Ally Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ally Financial has no effect on the direction of Hyundai i.e., Hyundai and Ally Financial go up and down completely randomly.
Pair Corralation between Hyundai and Ally Financial
Assuming the 90 days trading horizon Hyundai Motor is expected to under-perform the Ally Financial. But the stock apears to be less risky and, when comparing its historical volatility, Hyundai Motor is 1.23 times less risky than Ally Financial. The stock trades about -0.08 of its potential returns per unit of risk. The Ally Financial is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 3,916 in Ally Financial on September 6, 2024 and sell it today you would lose (43.00) from holding Ally Financial or give up 1.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.46% |
Values | Daily Returns |
Hyundai Motor vs. Ally Financial
Performance |
Timeline |
Hyundai Motor |
Ally Financial |
Hyundai and Ally Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hyundai and Ally Financial
The main advantage of trading using opposite Hyundai and Ally Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hyundai position performs unexpectedly, Ally Financial 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 Ally Financial will offset losses from the drop in Ally Financial's long position.Hyundai vs. Lowland Investment Co | Hyundai vs. The Investment | Hyundai vs. Livermore Investments Group | Hyundai vs. Taylor Maritime Investments |
Ally Financial vs. Samsung Electronics Co | Ally Financial vs. Samsung Electronics Co | Ally Financial vs. Hyundai Motor | Ally Financial vs. Toyota Motor Corp |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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