Correlation Between Autohome ADR and Tower Semiconductor
Can any of the company-specific risk be diversified away by investing in both Autohome ADR and Tower Semiconductor 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 Autohome ADR and Tower Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Autohome ADR and Tower Semiconductor, you can compare the effects of market volatilities on Autohome ADR and Tower Semiconductor 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 Autohome ADR with a short position of Tower Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Autohome ADR and Tower Semiconductor.
Diversification Opportunities for Autohome ADR and Tower Semiconductor
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Autohome and Tower is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Autohome ADR and Tower Semiconductor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tower Semiconductor and Autohome ADR 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 Autohome ADR are associated (or correlated) with Tower Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tower Semiconductor has no effect on the direction of Autohome ADR i.e., Autohome ADR and Tower Semiconductor go up and down completely randomly.
Pair Corralation between Autohome ADR and Tower Semiconductor
Assuming the 90 days trading horizon Autohome ADR is expected to under-perform the Tower Semiconductor. But the stock apears to be less risky and, when comparing its historical volatility, Autohome ADR is 1.85 times less risky than Tower Semiconductor. The stock trades about -0.04 of its potential returns per unit of risk. The Tower Semiconductor is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 4,100 in Tower Semiconductor on September 26, 2024 and sell it today you would earn a total of 729.00 from holding Tower Semiconductor or generate 17.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Autohome ADR vs. Tower Semiconductor
Performance |
Timeline |
Autohome ADR |
Tower Semiconductor |
Autohome ADR and Tower Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Autohome ADR and Tower Semiconductor
The main advantage of trading using opposite Autohome ADR and Tower Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Autohome ADR position performs unexpectedly, Tower Semiconductor 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 Tower Semiconductor will offset losses from the drop in Tower Semiconductor's long position.Autohome ADR vs. Alphabet Class A | Autohome ADR vs. Alphabet | Autohome ADR vs. Meta Platforms | Autohome ADR vs. Tencent Holdings Ltd |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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