Correlation Between Lumia and Sei Institutional
Can any of the company-specific risk be diversified away by investing in both Lumia and Sei Institutional 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 Lumia and Sei Institutional into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lumia and Sei Institutional Managed, you can compare the effects of market volatilities on Lumia and Sei Institutional 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 Lumia with a short position of Sei Institutional. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lumia and Sei Institutional.
Diversification Opportunities for Lumia and Sei Institutional
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lumia and Sei is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Lumia and Sei Institutional Managed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sei Institutional Managed and Lumia 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 Lumia are associated (or correlated) with Sei Institutional. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sei Institutional Managed has no effect on the direction of Lumia i.e., Lumia and Sei Institutional go up and down completely randomly.
Pair Corralation between Lumia and Sei Institutional
Assuming the 90 days trading horizon Lumia is expected to generate 217.38 times more return on investment than Sei Institutional. However, Lumia is 217.38 times more volatile than Sei Institutional Managed. It trades about 0.21 of its potential returns per unit of risk. Sei Institutional Managed is currently generating about -0.3 per unit of risk. If you would invest 0.00 in Lumia on October 9, 2024 and sell it today you would earn a total of 128.00 from holding Lumia or generate 9.223372036854776E16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 90.48% |
Values | Daily Returns |
Lumia vs. Sei Institutional Managed
Performance |
Timeline |
Lumia |
Sei Institutional Managed |
Lumia and Sei Institutional Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lumia and Sei Institutional
The main advantage of trading using opposite Lumia and Sei Institutional positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lumia position performs unexpectedly, Sei Institutional 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 Sei Institutional will offset losses from the drop in Sei Institutional's long position.The idea behind Lumia and Sei Institutional Managed 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.Sei Institutional vs. Simt Multi Asset Accumulation | Sei Institutional vs. Saat Market Growth | Sei Institutional vs. Simt Real Return | Sei Institutional vs. Simt Small Cap |
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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