Correlation Between AMS Small and Coreshares Index

Can any of the company-specific risk be diversified away by investing in both AMS Small and Coreshares Index 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 AMS Small and Coreshares Index into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between AMS Small Cap and Coreshares Index Tracker, you can compare the effects of market volatilities on AMS Small and Coreshares Index 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 AMS Small with a short position of Coreshares Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of AMS Small and Coreshares Index.

Diversification Opportunities for AMS Small and Coreshares Index

0.76

Correlation Coefficient

AMS Small  Coreshares Index

Poor diversification

The 3 months correlation between AMS and Coreshares is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding AMS Small Cap and Coreshares Index Tracker in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coreshares Index Tracker and AMS Small 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 AMS Small Cap are associated (or correlated) with Coreshares Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coreshares Index Tracker has no effect on the direction of AMS Small i.e., AMS Small and Coreshares Index go up and down completely randomly.

Pair Corralation between AMS Small and Coreshares Index

Assuming the 90 days trading horizon AMS Small Cap is expected to under-perform the Coreshares Index. In addition to that, AMS Small is 1.05 times more volatile than Coreshares Index Tracker. It trades about -0.04 of its total potential returns per unit of risk. Coreshares Index Tracker is currently generating about 0.04 per unit of volatility. If you would invest  107,200  in Coreshares Index Tracker on August 30, 2024 and sell it today you would earn a total of  2,300  from holding Coreshares Index Tracker or generate 2.15% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	98.44%
Values	Daily Returns

AMS Small Cap  vs.  Coreshares Index Tracker

Pair Trading with AMS Small and Coreshares Index

The main advantage of trading using opposite AMS Small and Coreshares Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AMS Small position performs unexpectedly, Coreshares Index 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 Coreshares Index will offset losses from the drop in Coreshares Index's long position.

The idea behind AMS Small Cap and Coreshares Index Tracker 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.

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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.