Correlation Between GM and Cathay Koreataiwan
Can any of the company-specific risk be diversified away by investing in both GM and Cathay Koreataiwan 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 GM and Cathay Koreataiwan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Cathay Koreataiwan IT, you can compare the effects of market volatilities on GM and Cathay Koreataiwan 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 GM with a short position of Cathay Koreataiwan. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Cathay Koreataiwan.
Diversification Opportunities for GM and Cathay Koreataiwan
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between GM and Cathay is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Cathay Koreataiwan IT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cathay Koreataiwan and GM 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 General Motors are associated (or correlated) with Cathay Koreataiwan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cathay Koreataiwan has no effect on the direction of GM i.e., GM and Cathay Koreataiwan go up and down completely randomly.
Pair Corralation between GM and Cathay Koreataiwan
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Cathay Koreataiwan. In addition to that, GM is 2.99 times more volatile than Cathay Koreataiwan IT. It trades about -0.15 of its total potential returns per unit of risk. Cathay Koreataiwan IT is currently generating about -0.14 per unit of volatility. If you would invest 3,370 in Cathay Koreataiwan IT on September 12, 2024 and sell it today you would lose (97.00) from holding Cathay Koreataiwan IT or give up 2.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 91.3% |
Values | Daily Returns |
General Motors vs. Cathay Koreataiwan IT
Performance |
Timeline |
General Motors |
Cathay Koreataiwan |
GM and Cathay Koreataiwan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Cathay Koreataiwan
The main advantage of trading using opposite GM and Cathay Koreataiwan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Cathay Koreataiwan 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 Cathay Koreataiwan will offset losses from the drop in Cathay Koreataiwan's long position.The idea behind General Motors and Cathay Koreataiwan IT 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.Cathay Koreataiwan vs. Cathay TIP TAIEX | Cathay Koreataiwan vs. Cathay Nasdaq AI | Cathay Koreataiwan vs. Cathay Dow Jones | Cathay Koreataiwan vs. Cathay Bloomberg Barclays |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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