Correlation Between Apple and Sino AG
Can any of the company-specific risk be diversified away by investing in both Apple and Sino AG 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 Apple and Sino AG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apple Inc and Sino AG, you can compare the effects of market volatilities on Apple and Sino AG 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 Apple with a short position of Sino AG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apple and Sino AG.
Diversification Opportunities for Apple and Sino AG
Poor diversification
The 3 months correlation between Apple and Sino is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Apple Inc and Sino AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sino AG and Apple 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 Apple Inc are associated (or correlated) with Sino AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sino AG has no effect on the direction of Apple i.e., Apple and Sino AG go up and down completely randomly.
Pair Corralation between Apple and Sino AG
Assuming the 90 days trading horizon Apple is expected to generate 1.51 times less return on investment than Sino AG. But when comparing it to its historical volatility, Apple Inc is 1.47 times less risky than Sino AG. It trades about 0.14 of its potential returns per unit of risk. Sino AG is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 5,450 in Sino AG on September 3, 2024 and sell it today you would earn a total of 1,150 from holding Sino AG or generate 21.1% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Apple Inc vs. Sino AG
Performance |
| Timeline |
| Apple Inc |
| Sino AG |
Apple and Sino AG Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Apple and Sino AG
The main advantage of trading using opposite Apple and Sino AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apple position performs unexpectedly, Sino AG 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 Sino AG will offset losses from the drop in Sino AG's long position.| Apple vs. Citic Telecom International | Apple vs. Grupo Carso SAB | Apple vs. GEELY AUTOMOBILE | Apple vs. Entravision Communications |
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against Sino AG as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. Sino AG's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, Sino AG's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to Sino AG.
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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