Correlation Between Chung Hung and Quanta Storage
Can any of the company-specific risk be diversified away by investing in both Chung Hung and Quanta Storage 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 Chung Hung and Quanta Storage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chung Hung Steel and Quanta Storage, you can compare the effects of market volatilities on Chung Hung and Quanta Storage 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 Chung Hung with a short position of Quanta Storage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chung Hung and Quanta Storage.
Diversification Opportunities for Chung Hung and Quanta Storage
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Chung and Quanta is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Chung Hung Steel and Quanta Storage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quanta Storage and Chung Hung 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 Chung Hung Steel are associated (or correlated) with Quanta Storage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quanta Storage has no effect on the direction of Chung Hung i.e., Chung Hung and Quanta Storage go up and down completely randomly.
Pair Corralation between Chung Hung and Quanta Storage
Assuming the 90 days trading horizon Chung Hung Steel is expected to under-perform the Quanta Storage. But the stock apears to be less risky and, when comparing its historical volatility, Chung Hung Steel is 1.38 times less risky than Quanta Storage. The stock trades about -0.05 of its potential returns per unit of risk. The Quanta Storage is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 10,550 in Quanta Storage on September 14, 2024 and sell it today you would lose (550.00) from holding Quanta Storage or give up 5.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chung Hung Steel vs. Quanta Storage
Performance |
Timeline |
Chung Hung Steel |
Quanta Storage |
Chung Hung and Quanta Storage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chung Hung and Quanta Storage
The main advantage of trading using opposite Chung Hung and Quanta Storage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chung Hung position performs unexpectedly, Quanta Storage 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 Quanta Storage will offset losses from the drop in Quanta Storage's long position.Chung Hung vs. Tainan Spinning Co | Chung Hung vs. Lealea Enterprise Co | Chung Hung vs. China Petrochemical Development | Chung Hung vs. Ruentex Development Co |
Quanta Storage vs. Qisda Corp | Quanta Storage vs. Quanta Computer | Quanta Storage vs. Wistron Corp | Quanta Storage vs. Delta 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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