Correlation Between Basso Industry and Chung Hsin
Can any of the company-specific risk be diversified away by investing in both Basso Industry and Chung Hsin 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 Basso Industry and Chung Hsin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Basso Industry Corp and Chung Hsin Electric Machinery, you can compare the effects of market volatilities on Basso Industry and Chung Hsin 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 Basso Industry with a short position of Chung Hsin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Basso Industry and Chung Hsin.
Diversification Opportunities for Basso Industry and Chung Hsin
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Basso and Chung is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Basso Industry Corp and Chung Hsin Electric Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hsin Electric and Basso Industry 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 Basso Industry Corp are associated (or correlated) with Chung Hsin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Hsin Electric has no effect on the direction of Basso Industry i.e., Basso Industry and Chung Hsin go up and down completely randomly.
Pair Corralation between Basso Industry and Chung Hsin
Assuming the 90 days trading horizon Basso Industry Corp is expected to generate 0.8 times more return on investment than Chung Hsin. However, Basso Industry Corp is 1.25 times less risky than Chung Hsin. It trades about -0.04 of its potential returns per unit of risk. Chung Hsin Electric Machinery is currently generating about -0.05 per unit of risk. If you would invest 4,550 in Basso Industry Corp on September 15, 2024 and sell it today you would lose (200.00) from holding Basso Industry Corp or give up 4.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Basso Industry Corp vs. Chung Hsin Electric Machinery
Performance |
Timeline |
Basso Industry Corp |
Chung Hsin Electric |
Basso Industry and Chung Hsin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Basso Industry and Chung Hsin
The main advantage of trading using opposite Basso Industry and Chung Hsin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Basso Industry position performs unexpectedly, Chung Hsin 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 Chung Hsin will offset losses from the drop in Chung Hsin's long position.Basso Industry vs. Feng Tay Enterprises | Basso Industry vs. Ruentex Development Co | Basso Industry vs. WiseChip Semiconductor | Basso Industry vs. Novatek Microelectronics Corp |
Chung Hsin vs. TECO Electric Machinery | Chung Hsin vs. Fortune Electric Co | Chung Hsin vs. Taiwan Cement Corp | Chung Hsin vs. Walsin Lihwa Corp |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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