Correlation Between Shyam Metalics and NIFTY SUMER

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

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

Diversification Opportunities for Shyam Metalics and NIFTY SUMER

-0.02

Correlation Coefficient

Shyam Metalics  NIFTY SUMER

Good diversification

The 3 months correlation between Shyam and NIFTY is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Shyam Metalics and and NIFTY SUMER DURABLES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NIFTY SUMER DURABLES and Shyam Metalics 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 Shyam Metalics and are associated (or correlated) with NIFTY SUMER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NIFTY SUMER DURABLES has no effect on the direction of Shyam Metalics i.e., Shyam Metalics and NIFTY SUMER go up and down completely randomly.

Pair Corralation between Shyam Metalics and NIFTY SUMER

Assuming the 90 days trading horizon Shyam Metalics and is expected to generate 1.74 times more return on investment than NIFTY SUMER. However, Shyam Metalics is 1.74 times more volatile than NIFTY SUMER DURABLES. It trades about 0.07 of its potential returns per unit of risk. NIFTY SUMER DURABLES is currently generating about -0.11 per unit of risk. If you would invest  76,340  in Shyam Metalics and on January 11, 2025 and sell it today you would earn a total of  8,045  from holding Shyam Metalics and or generate 10.54% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.39%
Values	Daily Returns

Shyam Metalics and  vs.  NIFTY SUMER DURABLES

Pair Trading with Shyam Metalics and NIFTY SUMER

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

The idea behind Shyam Metalics and and NIFTY SUMER DURABLES 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.