Correlation Between Wah Nobel and Loads

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

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

Diversification Opportunities for Wah Nobel and Loads

-0.46

Correlation Coefficient

Wah Nobel  Loads

Very good diversification

The 3 months correlation between Wah and Loads is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Wah Nobel Chemicals and Loads in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loads and Wah Nobel 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 Wah Nobel Chemicals are associated (or correlated) with Loads. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loads has no effect on the direction of Wah Nobel i.e., Wah Nobel and Loads go up and down completely randomly.

Pair Corralation between Wah Nobel and Loads

Assuming the 90 days trading horizon Wah Nobel Chemicals is expected to under-perform the Loads. But the stock apears to be less risky and, when comparing its historical volatility, Wah Nobel Chemicals is 1.62 times less risky than Loads. The stock trades about -0.21 of its potential returns per unit of risk. The Loads is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest  1,568  in Loads on December 21, 2024 and sell it today you would earn a total of  238.00  from holding Loads or generate 15.18% return on investment over 90 days.

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

Wah Nobel Chemicals  vs.  Loads

Wah Nobel Chemicals

Risk-Adjusted Performance

Very Weak

Over the last 90 days Wah Nobel Chemicals 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 April 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Loads

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Loads are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Despite quite weak basic indicators, Loads disclosed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Wah Nobel and Loads

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

The idea behind Wah Nobel Chemicals and Loads 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.