Correlation Between Singha Estate and Alpha Divisions

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

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

Diversification Opportunities for Singha Estate and Alpha Divisions

0.58

Correlation Coefficient

Singha Estate  Alpha Divisions

Very weak diversification

The 3 months correlation between Singha and Alpha is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Singha Estate Public and Alpha Divisions PCL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alpha Divisions PCL and Singha Estate 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 Singha Estate Public are associated (or correlated) with Alpha Divisions. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alpha Divisions PCL has no effect on the direction of Singha Estate i.e., Singha Estate and Alpha Divisions go up and down completely randomly.

Pair Corralation between Singha Estate and Alpha Divisions

Assuming the 90 days trading horizon Singha Estate Public is expected to generate 1.76 times more return on investment than Alpha Divisions. However, Singha Estate is 1.76 times more volatile than Alpha Divisions PCL. It trades about 0.08 of its potential returns per unit of risk. Alpha Divisions PCL is currently generating about -0.22 per unit of risk. If you would invest  88.00  in Singha Estate Public on September 24, 2024 and sell it today you would earn a total of  3.00  from holding Singha Estate Public or generate 3.41% return on investment over 90 days.

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

Singha Estate Public  vs.  Alpha Divisions PCL

Singha Estate Public

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Singha Estate Public are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. Despite quite weak basic indicators, Singha Estate disclosed solid returns over the last few months and may actually be approaching a breakup point.

Alpha Divisions PCL

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Alpha Divisions PCL has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain somewhat strong which may send shares a bit higher in January 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Pair Trading with Singha Estate and Alpha Divisions

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

The idea behind Singha Estate Public and Alpha Divisions PCL 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.