Correlation Between Nasdaq and San Neng
Can any of the company-specific risk be diversified away by investing in both Nasdaq and San Neng 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 San Neng into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nasdaq Inc and San Neng Group, you can compare the effects of market volatilities on Nasdaq and San Neng 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 San Neng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nasdaq and San Neng.
Diversification Opportunities for Nasdaq and San Neng
Pay attention - limited upside
The 3 months correlation between Nasdaq and San is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Nasdaq Inc and San Neng Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on San Neng Group 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 San Neng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of San Neng Group has no effect on the direction of Nasdaq i.e., Nasdaq and San Neng go up and down completely randomly.
Pair Corralation between Nasdaq and San Neng
Given the investment horizon of 90 days Nasdaq Inc is expected to generate 1.55 times more return on investment than San Neng. However, Nasdaq is 1.55 times more volatile than San Neng Group. It trades about 0.16 of its potential returns per unit of risk. San Neng Group is currently generating about 0.02 per unit of risk. If you would invest 7,249 in Nasdaq Inc on September 17, 2024 and sell it today you would earn a total of 763.00 from holding Nasdaq Inc or generate 10.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Nasdaq Inc vs. San Neng Group
Performance |
Timeline |
Nasdaq Inc |
San Neng Group |
Nasdaq and San Neng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nasdaq and San Neng
The main advantage of trading using opposite Nasdaq and San Neng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nasdaq position performs unexpectedly, San Neng 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 San Neng will offset losses from the drop in San Neng's long position.The idea behind Nasdaq Inc and San Neng Group 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.San Neng vs. Ruentex Development Co | San Neng vs. Symtek Automation Asia | San Neng vs. CTCI Corp | San Neng vs. Information Technology Total |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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