Correlation Between Nasdaq and Qualcomm
Can any of the company-specific risk be diversified away by investing in both Nasdaq and Qualcomm 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 Nasdaq and Qualcomm into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nasdaq Inc and Qualcomm, you can compare the effects of market volatilities on Nasdaq and Qualcomm 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 Nasdaq with a short position of Qualcomm. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nasdaq and Qualcomm.
Diversification Opportunities for Nasdaq and Qualcomm
Modest diversification
The 3 months correlation between Nasdaq and Qualcomm is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Nasdaq Inc and Qualcomm in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qualcomm and Nasdaq 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 Nasdaq Inc are associated (or correlated) with Qualcomm. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qualcomm has no effect on the direction of Nasdaq i.e., Nasdaq and Qualcomm go up and down completely randomly.
Pair Corralation between Nasdaq and Qualcomm
Given the investment horizon of 90 days Nasdaq Inc is expected to under-perform the Qualcomm. But the stock apears to be less risky and, when comparing its historical volatility, Nasdaq Inc is 1.91 times less risky than Qualcomm. The stock trades about -0.19 of its potential returns per unit of risk. The Qualcomm is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 7,758 in Qualcomm on September 27, 2024 and sell it today you would earn a total of 342.00 from holding Qualcomm or generate 4.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Nasdaq Inc vs. Qualcomm
Performance |
Timeline |
Nasdaq Inc |
Qualcomm |
Nasdaq and Qualcomm Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nasdaq and Qualcomm
The main advantage of trading using opposite Nasdaq and Qualcomm positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nasdaq position performs unexpectedly, Qualcomm 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 Qualcomm will offset losses from the drop in Qualcomm's long position.The idea behind Nasdaq Inc and Qualcomm 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.Qualcomm vs. The Trade Desk | Qualcomm vs. Autohome | Qualcomm vs. salesforce inc | Qualcomm vs. Take Two Interactive Software |
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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