Correlation Between E L and NVIDIACDR
Can any of the company-specific risk be diversified away by investing in both E L and NVIDIACDR 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 E L and NVIDIACDR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between E L Financial Corp and NVIDIA CDR, you can compare the effects of market volatilities on E L and NVIDIACDR 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 E L with a short position of NVIDIACDR. Check out your portfolio center. Please also check ongoing floating volatility patterns of E L and NVIDIACDR.
Diversification Opportunities for E L and NVIDIACDR
Almost no diversification
The 3 months correlation between ELF-PF and NVIDIACDR is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding E L Financial Corp and NVIDIA CDR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NVIDIA CDR and E L 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 E L Financial Corp are associated (or correlated) with NVIDIACDR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NVIDIA CDR has no effect on the direction of E L i.e., E L and NVIDIACDR go up and down completely randomly.
Pair Corralation between E L and NVIDIACDR
Assuming the 90 days trading horizon E L is expected to generate 3.79 times less return on investment than NVIDIACDR. But when comparing it to its historical volatility, E L Financial Corp is 2.93 times less risky than NVIDIACDR. It trades about 0.27 of its potential returns per unit of risk. NVIDIA CDR is currently generating about 0.35 of returns per unit of risk over similar time horizon. If you would invest 3,285 in NVIDIA CDR on April 8, 2025 and sell it today you would earn a total of 350.00 from holding NVIDIA CDR or generate 10.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
E L Financial Corp vs. NVIDIA CDR
Performance |
Timeline |
E L Financial |
NVIDIA CDR |
E L and NVIDIACDR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with E L and NVIDIACDR
The main advantage of trading using opposite E L and NVIDIACDR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if E L position performs unexpectedly, NVIDIACDR 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 NVIDIACDR will offset losses from the drop in NVIDIACDR's long position.The idea behind E L Financial Corp and NVIDIA 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.NVIDIACDR vs. Big Rock Brewery | NVIDIACDR vs. NeXGold Mining Corp | NVIDIACDR vs. Primaris Retail RE | NVIDIACDR vs. Nicola Mining |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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