Correlation Between Taiwan Weighted and Nien Hsing
Can any of the company-specific risk be diversified away by investing in both Taiwan Weighted and Nien Hsing 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 Weighted and Nien Hsing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Taiwan Weighted and Nien Hsing Textile, you can compare the effects of market volatilities on Taiwan Weighted and Nien Hsing 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 Weighted with a short position of Nien Hsing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Taiwan Weighted and Nien Hsing.
Diversification Opportunities for Taiwan Weighted and Nien Hsing
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Taiwan and Nien is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Taiwan Weighted and Nien Hsing Textile in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nien Hsing Textile and Taiwan Weighted 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 Weighted are associated (or correlated) with Nien Hsing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nien Hsing Textile has no effect on the direction of Taiwan Weighted i.e., Taiwan Weighted and Nien Hsing go up and down completely randomly.
Pair Corralation between Taiwan Weighted and Nien Hsing
Assuming the 90 days trading horizon Taiwan Weighted is expected to generate 1.04 times more return on investment than Nien Hsing. However, Taiwan Weighted is 1.04 times more volatile than Nien Hsing Textile. It trades about 0.06 of its potential returns per unit of risk. Nien Hsing Textile is currently generating about -0.19 per unit of risk. If you would invest 2,268,836 in Taiwan Weighted on September 21, 2024 and sell it today you would earn a total of 24,389 from holding Taiwan Weighted or generate 1.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Taiwan Weighted vs. Nien Hsing Textile
Performance |
Timeline |
Taiwan Weighted and Nien Hsing Volatility Contrast
Predicted Return Density |
Returns |
Taiwan Weighted
Pair trading matchups for Taiwan Weighted
Nien Hsing Textile
Pair trading matchups for Nien Hsing
Pair Trading with Taiwan Weighted and Nien Hsing
The main advantage of trading using opposite Taiwan Weighted and Nien Hsing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Taiwan Weighted position performs unexpectedly, Nien Hsing 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 Nien Hsing will offset losses from the drop in Nien Hsing's long position.Taiwan Weighted vs. Phoenix Silicon International | Taiwan Weighted vs. Silicon Power Computer | Taiwan Weighted vs. Microelectronics Technology | Taiwan Weighted vs. Zhen Ding Technology |
Nien Hsing vs. Ruentex Development Co | Nien Hsing vs. WiseChip Semiconductor | Nien Hsing vs. Novatek Microelectronics Corp | Nien Hsing vs. Leader Electronics |
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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