Correlation Between LION ONE and News
Can any of the company-specific risk be diversified away by investing in both LION ONE and News 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 LION ONE and News into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LION ONE METALS and News Corporation, you can compare the effects of market volatilities on LION ONE and News 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 LION ONE with a short position of News. Check out your portfolio center. Please also check ongoing floating volatility patterns of LION ONE and News.
Diversification Opportunities for LION ONE and News
Excellent diversification
The 3 months correlation between LION and News is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding LION ONE METALS and News Corp. in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on News and LION ONE 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 LION ONE METALS are associated (or correlated) with News. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of News has no effect on the direction of LION ONE i.e., LION ONE and News go up and down completely randomly.
Pair Corralation between LION ONE and News
Assuming the 90 days trading horizon LION ONE METALS is expected to under-perform the News. In addition to that, LION ONE is 2.46 times more volatile than News Corporation. It trades about -0.05 of its total potential returns per unit of risk. News Corporation is currently generating about 0.07 per unit of volatility. If you would invest 1,682 in News Corporation on September 13, 2024 and sell it today you would earn a total of 1,078 from holding News Corporation or generate 64.09% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
LION ONE METALS vs. News Corp.
Performance |
| Timeline |
| LION ONE METALS |
| News |
LION ONE and News Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with LION ONE and News
The main advantage of trading using opposite LION ONE and News positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LION ONE position performs unexpectedly, News 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 News will offset losses from the drop in News' long position.The idea behind LION ONE METALS and News Corporation 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.| News vs. COPLAND ROAD CAPITAL | News vs. Jacquet Metal Service | News vs. LION ONE METALS | News vs. Transportadora de Gas |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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