Correlation Between BTM and YAM

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

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

Diversification Opportunities for BTM and YAM

0.64

Correlation Coefficient

BTM  YAM

Poor diversification

The 3 months correlation between BTM and YAM is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding BTM and YAM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on YAM and BTM 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 BTM are associated (or correlated) with YAM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of YAM has no effect on the direction of BTM i.e., BTM and YAM go up and down completely randomly.

Pair Corralation between BTM and YAM

Assuming the 90 days trading horizon BTM is expected to generate 1.18 times more return on investment than YAM. However, BTM is 1.18 times more volatile than YAM. It trades about 0.05 of its potential returns per unit of risk. YAM is currently generating about -0.02 per unit of risk. If you would invest  0.53  in BTM on September 2, 2024 and sell it today you would earn a total of  0.05  from holding BTM or generate 9.52% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

BTM  vs.  YAM

BTM

Risk-Adjusted Performance

4 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in BTM are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady primary indicators, BTM exhibited solid returns over the last few months and may actually be approaching a breakup point.

YAM

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days YAM has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound primary indicators, YAM is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with BTM and YAM

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

The idea behind BTM and YAM 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.