Correlation Between First Insurance and Yuanta Futures
Can any of the company-specific risk be diversified away by investing in both First Insurance and Yuanta Futures 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 First Insurance and Yuanta Futures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Insurance Co and Yuanta Futures Co, you can compare the effects of market volatilities on First Insurance and Yuanta Futures 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 First Insurance with a short position of Yuanta Futures. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Insurance and Yuanta Futures.
Diversification Opportunities for First Insurance and Yuanta Futures
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and Yuanta is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding First Insurance Co and Yuanta Futures Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yuanta Futures and First Insurance 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 First Insurance Co are associated (or correlated) with Yuanta Futures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yuanta Futures has no effect on the direction of First Insurance i.e., First Insurance and Yuanta Futures go up and down completely randomly.
Pair Corralation between First Insurance and Yuanta Futures
Assuming the 90 days trading horizon First Insurance Co is expected to generate 1.24 times more return on investment than Yuanta Futures. However, First Insurance is 1.24 times more volatile than Yuanta Futures Co. It trades about 0.16 of its potential returns per unit of risk. Yuanta Futures Co is currently generating about 0.01 per unit of risk. If you would invest 2,270 in First Insurance Co on September 30, 2024 and sell it today you would earn a total of 215.00 from holding First Insurance Co or generate 9.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
First Insurance Co vs. Yuanta Futures Co
Performance |
Timeline |
First Insurance |
Yuanta Futures |
First Insurance and Yuanta Futures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Insurance and Yuanta Futures
The main advantage of trading using opposite First Insurance and Yuanta Futures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Insurance position performs unexpectedly, Yuanta Futures 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 Yuanta Futures will offset losses from the drop in Yuanta Futures' long position.First Insurance vs. Taiwan Semiconductor Manufacturing | First Insurance vs. Hon Hai Precision | First Insurance vs. MediaTek | First Insurance vs. Chunghwa Telecom Co |
Yuanta Futures vs. Tehmag Foods | Yuanta Futures vs. Jentech Precision Industrial | Yuanta Futures vs. Tigerair Taiwan Co | Yuanta Futures vs. SuperAlloy Industrial Co, |
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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