Correlation Between Stock Exchange and Singha Estate

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

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

Diversification Opportunities for Stock Exchange and Singha Estate

0.43

Correlation Coefficient

Stock Exchange  Singha Estate

Very weak diversification

The 3 months correlation between Stock and Singha is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Stock Exchange Of and Singha Estate Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singha Estate Public and Stock Exchange 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 Stock Exchange Of are associated (or correlated) with Singha Estate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singha Estate Public has no effect on the direction of Stock Exchange i.e., Stock Exchange and Singha Estate go up and down completely randomly.

Pair Corralation between Stock Exchange and Singha Estate

Assuming the 90 days trading horizon Stock Exchange is expected to generate 126.01 times less return on investment than Singha Estate. But when comparing it to its historical volatility, Stock Exchange Of is 118.28 times less risky than Singha Estate. It trades about 0.08 of its potential returns per unit of risk. Singha Estate Public is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest  76.00  in Singha Estate Public on September 26, 2024 and sell it today you would earn a total of  15.00  from holding Singha Estate Public or generate 19.74% return on investment over 90 days.

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

Stock Exchange Of  vs.  Singha Estate Public

Pair Trading with Stock Exchange and Singha Estate

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

The idea behind Stock Exchange Of and Singha Estate Public 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.