Correlation Between Queens Road and Amazon CDR
Can any of the company-specific risk be diversified away by investing in both Queens Road and Amazon CDR 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 Queens Road and Amazon CDR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Queens Road Capital and Amazon CDR, you can compare the effects of market volatilities on Queens Road and Amazon CDR 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 Queens Road with a short position of Amazon CDR. Check out your portfolio center. Please also check ongoing floating volatility patterns of Queens Road and Amazon CDR.
Diversification Opportunities for Queens Road and Amazon CDR
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Queens and Amazon is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Queens Road Capital and Amazon CDR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amazon CDR and Queens Road 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 Queens Road Capital are associated (or correlated) with Amazon CDR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amazon CDR has no effect on the direction of Queens Road i.e., Queens Road and Amazon CDR go up and down completely randomly.
Pair Corralation between Queens Road and Amazon CDR
Assuming the 90 days trading horizon Queens Road Capital is expected to under-perform the Amazon CDR. In addition to that, Queens Road is 1.36 times more volatile than Amazon CDR. It trades about -0.11 of its total potential returns per unit of risk. Amazon CDR is currently generating about -0.13 per unit of volatility. If you would invest 2,678 in Amazon CDR on December 23, 2024 and sell it today you would lose (356.00) from holding Amazon CDR or give up 13.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Queens Road Capital vs. Amazon CDR
Performance |
Timeline |
Queens Road Capital |
Amazon CDR |
Queens Road and Amazon CDR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Queens Road and Amazon CDR
The main advantage of trading using opposite Queens Road and Amazon CDR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Queens Road position performs unexpectedly, Amazon CDR 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 Amazon CDR will offset losses from the drop in Amazon CDR's long position.The idea behind Queens Road Capital and Amazon CDR pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Amazon CDR vs. Queens Road Capital | Amazon CDR vs. Power Financial Corp | Amazon CDR vs. Galway Metals | Amazon CDR vs. Roadman Investments 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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