Correlation Between GOLDQUEST MINING and China Foods
Can any of the company-specific risk be diversified away by investing in both GOLDQUEST MINING and China Foods 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 GOLDQUEST MINING and China Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GOLDQUEST MINING and China Foods Limited, you can compare the effects of market volatilities on GOLDQUEST MINING and China Foods 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 GOLDQUEST MINING with a short position of China Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of GOLDQUEST MINING and China Foods.
Diversification Opportunities for GOLDQUEST MINING and China Foods
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between GOLDQUEST and China is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding GOLDQUEST MINING and China Foods Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Foods Limited and GOLDQUEST MINING 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 GOLDQUEST MINING are associated (or correlated) with China Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Foods Limited has no effect on the direction of GOLDQUEST MINING i.e., GOLDQUEST MINING and China Foods go up and down completely randomly.
Pair Corralation between GOLDQUEST MINING and China Foods
Assuming the 90 days trading horizon GOLDQUEST MINING is expected to generate 1.31 times more return on investment than China Foods. However, GOLDQUEST MINING is 1.31 times more volatile than China Foods Limited. It trades about 0.11 of its potential returns per unit of risk. China Foods Limited is currently generating about 0.03 per unit of risk. If you would invest 31.00 in GOLDQUEST MINING on April 20, 2025 and sell it today you would earn a total of 10.00 from holding GOLDQUEST MINING or generate 32.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GOLDQUEST MINING vs. China Foods Limited
Performance |
Timeline |
GOLDQUEST MINING |
China Foods Limited |
GOLDQUEST MINING and China Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GOLDQUEST MINING and China Foods
The main advantage of trading using opposite GOLDQUEST MINING and China Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GOLDQUEST MINING position performs unexpectedly, China Foods 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 China Foods will offset losses from the drop in China Foods' long position.GOLDQUEST MINING vs. JD SPORTS FASH | GOLDQUEST MINING vs. Fevertree Drinks PLC | GOLDQUEST MINING vs. Columbia Sportswear | GOLDQUEST MINING vs. ePlay Digital |
China Foods vs. The Coca Cola | China Foods vs. Coca Cola European Partners | China Foods vs. COCA A HBC | China Foods vs. National Beverage 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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