Correlation Between Taiwan Semiconductor and Fannie Mae
Can any of the company-specific risk be diversified away by investing in both Taiwan Semiconductor and Fannie Mae 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 Taiwan Semiconductor and Fannie Mae into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Taiwan Semiconductor Manufacturing and Fannie Mae, you can compare the effects of market volatilities on Taiwan Semiconductor and Fannie Mae 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 Taiwan Semiconductor with a short position of Fannie Mae. Check out your portfolio center. Please also check ongoing floating volatility patterns of Taiwan Semiconductor and Fannie Mae.
Diversification Opportunities for Taiwan Semiconductor and Fannie Mae
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Taiwan and Fannie is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Taiwan Semiconductor Manufactu and Fannie Mae in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fannie Mae and Taiwan Semiconductor 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 Taiwan Semiconductor Manufacturing are associated (or correlated) with Fannie Mae. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fannie Mae has no effect on the direction of Taiwan Semiconductor i.e., Taiwan Semiconductor and Fannie Mae go up and down completely randomly.
Pair Corralation between Taiwan Semiconductor and Fannie Mae
Assuming the 90 days trading horizon Taiwan Semiconductor is expected to generate 9.22 times less return on investment than Fannie Mae. But when comparing it to its historical volatility, Taiwan Semiconductor Manufacturing is 3.66 times less risky than Fannie Mae. It trades about 0.09 of its potential returns per unit of risk. Fannie Mae is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 121.00 in Fannie Mae on September 14, 2024 and sell it today you would earn a total of 154.00 from holding Fannie Mae or generate 127.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 75.0% |
Values | Daily Returns |
Taiwan Semiconductor Manufactu vs. Fannie Mae
Performance |
Timeline |
Taiwan Semiconductor |
Fannie Mae |
Taiwan Semiconductor and Fannie Mae Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Taiwan Semiconductor and Fannie Mae
The main advantage of trading using opposite Taiwan Semiconductor and Fannie Mae positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Taiwan Semiconductor position performs unexpectedly, Fannie Mae 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 Fannie Mae will offset losses from the drop in Fannie Mae's long position.Taiwan Semiconductor vs. Samsung Electronics Co | Taiwan Semiconductor vs. Samsung Electronics Co | Taiwan Semiconductor vs. Hyundai Motor | Taiwan Semiconductor vs. Reliance Industries 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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