Correlation Between Yuan High and Yulon Finance
Can any of the company-specific risk be diversified away by investing in both Yuan High and Yulon Finance 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 Yuan High and Yulon Finance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yuan High Tech Development and Yulon Finance Corp, you can compare the effects of market volatilities on Yuan High and Yulon Finance 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 Yuan High with a short position of Yulon Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yuan High and Yulon Finance.
Diversification Opportunities for Yuan High and Yulon Finance
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Yuan and Yulon is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Yuan High Tech Development and Yulon Finance Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yulon Finance Corp and Yuan High 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 Yuan High Tech Development are associated (or correlated) with Yulon Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yulon Finance Corp has no effect on the direction of Yuan High i.e., Yuan High and Yulon Finance go up and down completely randomly.
Pair Corralation between Yuan High and Yulon Finance
Assuming the 90 days trading horizon Yuan High Tech Development is expected to generate 10.52 times more return on investment than Yulon Finance. However, Yuan High is 10.52 times more volatile than Yulon Finance Corp. It trades about 0.08 of its potential returns per unit of risk. Yulon Finance Corp is currently generating about 0.01 per unit of risk. If you would invest 6,889 in Yuan High Tech Development on October 4, 2024 and sell it today you would earn a total of 14,011 from holding Yuan High Tech Development or generate 203.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Yuan High Tech Development vs. Yulon Finance Corp
Performance |
Timeline |
Yuan High Tech |
Yulon Finance Corp |
Yuan High and Yulon Finance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yuan High and Yulon Finance
The main advantage of trading using opposite Yuan High and Yulon Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yuan High position performs unexpectedly, Yulon Finance 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 Yulon Finance will offset losses from the drop in Yulon Finance's long position.Yuan High vs. PChome Online | Yuan High vs. Niko Semiconductor Co | Yuan High vs. Level Biotechnology | Yuan High vs. WiseChip Semiconductor |
Yulon Finance vs. Dynamic Medical Technologies | Yulon Finance vs. Ching Feng Home | Yulon Finance vs. Cayenne Entertainment Technology | Yulon Finance vs. Hi Lai Foods Co |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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