Correlation Between KARRAT and SC
Can any of the company-specific risk be diversified away by investing in both KARRAT and SC 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 KARRAT and SC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KARRAT and SC, you can compare the effects of market volatilities on KARRAT and SC 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 KARRAT with a short position of SC. Check out your portfolio center. Please also check ongoing floating volatility patterns of KARRAT and SC.
Diversification Opportunities for KARRAT and SC
Very weak diversification
The 3 months correlation between KARRAT and SC is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding KARRAT and SC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SC and KARRAT 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 KARRAT are associated (or correlated) with SC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SC has no effect on the direction of KARRAT i.e., KARRAT and SC go up and down completely randomly.
Pair Corralation between KARRAT and SC
Assuming the 90 days trading horizon KARRAT is expected to generate 3.66 times more return on investment than SC. However, KARRAT is 3.66 times more volatile than SC. It trades about 0.1 of its potential returns per unit of risk. SC is currently generating about 0.22 per unit of risk. If you would invest 31.00 in KARRAT on September 1, 2024 and sell it today you would earn a total of 18.00 from holding KARRAT or generate 58.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
KARRAT vs. SC
Performance |
Timeline |
KARRAT |
SC |
KARRAT and SC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KARRAT and SC
The main advantage of trading using opposite KARRAT and SC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KARRAT position performs unexpectedly, SC 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 SC will offset losses from the drop in SC's long position.The idea behind KARRAT and SC 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Other Complementary Tools
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. |