Correlation Between Lian Hwa and SYN Tech

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

By analyzing existing cross correlation between Lian Hwa Foods and SYN Tech Chem Pharm, you can compare the effects of market volatilities on Lian Hwa and SYN Tech 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 Lian Hwa with a short position of SYN Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lian Hwa and SYN Tech.

Diversification Opportunities for Lian Hwa and SYN Tech

-0.38

Correlation Coefficient

Lian Hwa  SYN Tech

Very good diversification

The 3 months correlation between Lian and SYN is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Lian Hwa Foods and SYN Tech Chem Pharm in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SYN Tech Chem and Lian Hwa 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 Lian Hwa Foods are associated (or correlated) with SYN Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SYN Tech Chem has no effect on the direction of Lian Hwa i.e., Lian Hwa and SYN Tech go up and down completely randomly.

Pair Corralation between Lian Hwa and SYN Tech

Assuming the 90 days trading horizon Lian Hwa Foods is expected to generate 4.0 times more return on investment than SYN Tech. However, Lian Hwa is 4.0 times more volatile than SYN Tech Chem Pharm. It trades about 0.18 of its potential returns per unit of risk. SYN Tech Chem Pharm is currently generating about -0.17 per unit of risk. If you would invest  12,850  in Lian Hwa Foods on October 9, 2024 and sell it today you would earn a total of  1,100  from holding Lian Hwa Foods or generate 8.56% return on investment over 90 days.

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

Lian Hwa Foods  vs.  SYN Tech Chem Pharm

Lian Hwa Foods

Risk-Adjusted Performance

16 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Lian Hwa Foods are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of fairly abnormal basic indicators, Lian Hwa showed solid returns over the last few months and may actually be approaching a breakup point.

SYN Tech Chem

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days SYN Tech Chem Pharm has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly stable basic indicators, SYN Tech is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Pair Trading with Lian Hwa and SYN Tech

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

The idea behind Lian Hwa Foods and SYN Tech Chem Pharm 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.