Correlation Between Sanginita Chemicals and Kothari Petrochemicals
Specify exactly 2 symbols:
By analyzing existing cross correlation between Sanginita Chemicals Limited and Kothari Petrochemicals Limited, you can compare the effects of market volatilities on Sanginita Chemicals and Kothari Petrochemicals 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 Sanginita Chemicals with a short position of Kothari Petrochemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sanginita Chemicals and Kothari Petrochemicals.
Diversification Opportunities for Sanginita Chemicals and Kothari Petrochemicals
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sanginita and Kothari is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Sanginita Chemicals Limited and Kothari Petrochemicals Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kothari Petrochemicals and Sanginita Chemicals 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 Sanginita Chemicals Limited are associated (or correlated) with Kothari Petrochemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kothari Petrochemicals has no effect on the direction of Sanginita Chemicals i.e., Sanginita Chemicals and Kothari Petrochemicals go up and down completely randomly.
Pair Corralation between Sanginita Chemicals and Kothari Petrochemicals
Assuming the 90 days trading horizon Sanginita Chemicals Limited is expected to generate 0.82 times more return on investment than Kothari Petrochemicals. However, Sanginita Chemicals Limited is 1.22 times less risky than Kothari Petrochemicals. It trades about -0.03 of its potential returns per unit of risk. Kothari Petrochemicals Limited is currently generating about -0.07 per unit of risk. If you would invest 1,619 in Sanginita Chemicals Limited on September 21, 2024 and sell it today you would lose (98.00) from holding Sanginita Chemicals Limited or give up 6.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
Sanginita Chemicals Limited vs. Kothari Petrochemicals Limited
Performance |
Timeline |
Sanginita Chemicals |
Kothari Petrochemicals |
Sanginita Chemicals and Kothari Petrochemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sanginita Chemicals and Kothari Petrochemicals
The main advantage of trading using opposite Sanginita Chemicals and Kothari Petrochemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sanginita Chemicals position performs unexpectedly, Kothari Petrochemicals 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 Kothari Petrochemicals will offset losses from the drop in Kothari Petrochemicals' long position.Sanginita Chemicals vs. Associated Alcohols Breweries | Sanginita Chemicals vs. Kohinoor Foods Limited | Sanginita Chemicals vs. Megastar Foods Limited | Sanginita Chemicals vs. Jayant Agro Organics |
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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Other Complementary Tools
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |