Correlation Between Hon Hai and Nantex Industry
Can any of the company-specific risk be diversified away by investing in both Hon Hai and Nantex Industry 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 Hon Hai and Nantex Industry into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hon Hai Precision and Nantex Industry Co, you can compare the effects of market volatilities on Hon Hai and Nantex Industry 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 Hon Hai with a short position of Nantex Industry. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hon Hai and Nantex Industry.
Diversification Opportunities for Hon Hai and Nantex Industry
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Hon and Nantex is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Hon Hai Precision and Nantex Industry Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nantex Industry and Hon Hai 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 Hon Hai Precision are associated (or correlated) with Nantex Industry. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nantex Industry has no effect on the direction of Hon Hai i.e., Hon Hai and Nantex Industry go up and down completely randomly.
Pair Corralation between Hon Hai and Nantex Industry
Assuming the 90 days trading horizon Hon Hai Precision is expected to generate 1.23 times more return on investment than Nantex Industry. However, Hon Hai is 1.23 times more volatile than Nantex Industry Co. It trades about 0.09 of its potential returns per unit of risk. Nantex Industry Co is currently generating about -0.12 per unit of risk. If you would invest 18,450 in Hon Hai Precision on August 29, 2024 and sell it today you would earn a total of 1,800 from holding Hon Hai Precision or generate 9.76% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 98.41% |
| Values | Daily Returns |
Hon Hai Precision vs. Nantex Industry Co
Performance |
| Timeline |
| Hon Hai Precision |
| Nantex Industry |
Hon Hai and Nantex Industry Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hon Hai and Nantex Industry
The main advantage of trading using opposite Hon Hai and Nantex Industry positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hon Hai position performs unexpectedly, Nantex Industry 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 Nantex Industry will offset losses from the drop in Nantex Industry's long position.| Hon Hai vs. United Microelectronics | Hon Hai vs. MediaTek | Hon Hai vs. Chunghwa Telecom Co | Hon Hai vs. Delta Electronics |
| Nantex Industry vs. International CSRC Investment | Nantex Industry vs. TSRC Corp | Nantex Industry vs. Ruentex Industries | Nantex Industry vs. Cheng Shin Rubber |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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