Correlation Between Nasdaq and Kaulin Mfg
Can any of the company-specific risk be diversified away by investing in both Nasdaq and Kaulin Mfg 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 Kaulin Mfg into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nasdaq Inc and Kaulin Mfg, you can compare the effects of market volatilities on Nasdaq and Kaulin Mfg 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 Kaulin Mfg. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nasdaq and Kaulin Mfg.
Diversification Opportunities for Nasdaq and Kaulin Mfg
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Nasdaq and Kaulin is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Nasdaq Inc and Kaulin Mfg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kaulin Mfg 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 Kaulin Mfg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kaulin Mfg has no effect on the direction of Nasdaq i.e., Nasdaq and Kaulin Mfg go up and down completely randomly.
Pair Corralation between Nasdaq and Kaulin Mfg
Given the investment horizon of 90 days Nasdaq Inc is expected to generate 0.33 times more return on investment than Kaulin Mfg. However, Nasdaq Inc is 3.08 times less risky than Kaulin Mfg. It trades about 0.17 of its potential returns per unit of risk. Kaulin Mfg is currently generating about 0.03 per unit of risk. If you would invest 7,308 in Nasdaq Inc on September 14, 2024 and sell it today you would earn a total of 779.00 from holding Nasdaq Inc or generate 10.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
Nasdaq Inc vs. Kaulin Mfg
Performance |
Timeline |
Nasdaq Inc |
Kaulin Mfg |
Nasdaq and Kaulin Mfg Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nasdaq and Kaulin Mfg
The main advantage of trading using opposite Nasdaq and Kaulin Mfg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nasdaq position performs unexpectedly, Kaulin Mfg 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 Kaulin Mfg will offset losses from the drop in Kaulin Mfg's long position.The idea behind Nasdaq Inc and Kaulin Mfg 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.Kaulin Mfg vs. Tainan Enterprises Co | Kaulin Mfg vs. Nien Hsing Textile | Kaulin Mfg vs. De Licacy Industrial | Kaulin Mfg vs. Kwong Fong Industries |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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