Correlation Between LOOM and Arbitrum
Can any of the company-specific risk be diversified away by investing in both LOOM and Arbitrum 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 LOOM and Arbitrum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LOOM and Arbitrum, you can compare the effects of market volatilities on LOOM and Arbitrum 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 LOOM with a short position of Arbitrum. Check out your portfolio center. Please also check ongoing floating volatility patterns of LOOM and Arbitrum.
Diversification Opportunities for LOOM and Arbitrum
Almost no diversification
The 3 months correlation between LOOM and Arbitrum is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding LOOM and Arbitrum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arbitrum and LOOM 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 LOOM are associated (or correlated) with Arbitrum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arbitrum has no effect on the direction of LOOM i.e., LOOM and Arbitrum go up and down completely randomly.
Pair Corralation between LOOM and Arbitrum
Assuming the 90 days trading horizon LOOM is expected to generate 1.25 times more return on investment than Arbitrum. However, LOOM is 1.25 times more volatile than Arbitrum. It trades about -0.13 of its potential returns per unit of risk. Arbitrum is currently generating about -0.17 per unit of risk. If you would invest 5.70 in LOOM on December 30, 2024 and sell it today you would lose (3.07) from holding LOOM or give up 53.86% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
LOOM vs. Arbitrum
Performance |
Timeline |
LOOM |
Arbitrum |
LOOM and Arbitrum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LOOM and Arbitrum
The main advantage of trading using opposite LOOM and Arbitrum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LOOM position performs unexpectedly, Arbitrum 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 Arbitrum will offset losses from the drop in Arbitrum's long position.The idea behind LOOM and Arbitrum 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.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 Commodity Directory module to find actively traded commodities issued by global exchanges.
Other Complementary Tools
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes |