Correlation Between Victory New and Aero Win
Can any of the company-specific risk be diversified away by investing in both Victory New and Aero Win 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 Victory New and Aero Win into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Victory New Materials and Aero Win Technology, you can compare the effects of market volatilities on Victory New and Aero Win 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 Victory New with a short position of Aero Win. Check out your portfolio center. Please also check ongoing floating volatility patterns of Victory New and Aero Win.
Diversification Opportunities for Victory New and Aero Win
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Victory and Aero is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Victory New Materials and Aero Win Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aero Win Technology and Victory New 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 Victory New Materials are associated (or correlated) with Aero Win. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aero Win Technology has no effect on the direction of Victory New i.e., Victory New and Aero Win go up and down completely randomly.
Pair Corralation between Victory New and Aero Win
Assuming the 90 days trading horizon Victory New is expected to generate 10.03 times less return on investment than Aero Win. But when comparing it to its historical volatility, Victory New Materials is 1.2 times less risky than Aero Win. It trades about 0.01 of its potential returns per unit of risk. Aero Win Technology is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 3,600 in Aero Win Technology on September 12, 2024 and sell it today you would earn a total of 170.00 from holding Aero Win Technology or generate 4.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Victory New Materials vs. Aero Win Technology
Performance |
Timeline |
Victory New Materials |
Aero Win Technology |
Victory New and Aero Win Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Victory New and Aero Win
The main advantage of trading using opposite Victory New and Aero Win positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Victory New position performs unexpectedly, Aero Win 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 Aero Win will offset losses from the drop in Aero Win's long position.Victory New vs. Feng Tay Enterprises | Victory New vs. Pou Chen Corp | Victory New vs. Fulgent Sun International | Victory New vs. Hsinli Chemical Industrial |
Aero Win vs. CSBC Corp Taiwan | Aero Win vs. Tong Tai Machine Tool | Aero Win vs. Super Dragon Technology | Aero Win vs. Victory New Materials |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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