Correlation Between Kewal Kiran and Akme Fintrade
Can any of the company-specific risk be diversified away by investing in both Kewal Kiran and Akme Fintrade 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 Kewal Kiran and Akme Fintrade into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kewal Kiran Clothing and Akme Fintrade India, you can compare the effects of market volatilities on Kewal Kiran and Akme Fintrade 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 Kewal Kiran with a short position of Akme Fintrade. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kewal Kiran and Akme Fintrade.
Diversification Opportunities for Kewal Kiran and Akme Fintrade
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kewal and Akme is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Kewal Kiran Clothing and Akme Fintrade India in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Akme Fintrade India and Kewal Kiran 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 Kewal Kiran Clothing are associated (or correlated) with Akme Fintrade. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Akme Fintrade India has no effect on the direction of Kewal Kiran i.e., Kewal Kiran and Akme Fintrade go up and down completely randomly.
Pair Corralation between Kewal Kiran and Akme Fintrade
Assuming the 90 days trading horizon Kewal Kiran Clothing is expected to generate 0.58 times more return on investment than Akme Fintrade. However, Kewal Kiran Clothing is 1.73 times less risky than Akme Fintrade. It trades about -0.1 of its potential returns per unit of risk. Akme Fintrade India is currently generating about -0.07 per unit of risk. If you would invest 66,480 in Kewal Kiran Clothing on September 29, 2024 and sell it today you would lose (6,900) from holding Kewal Kiran Clothing or give up 10.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
Kewal Kiran Clothing vs. Akme Fintrade India
Performance |
Timeline |
Kewal Kiran Clothing |
Akme Fintrade India |
Kewal Kiran and Akme Fintrade Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kewal Kiran and Akme Fintrade
The main advantage of trading using opposite Kewal Kiran and Akme Fintrade positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kewal Kiran position performs unexpectedly, Akme Fintrade 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 Akme Fintrade will offset losses from the drop in Akme Fintrade's long position.Kewal Kiran vs. Kaushalya Infrastructure Development | Kewal Kiran vs. Tarapur Transformers Limited | Kewal Kiran vs. Kingfa Science Technology | Kewal Kiran vs. Rico Auto Industries |
Akme Fintrade vs. Gujarat Fluorochemicals Limited | Akme Fintrade vs. Yatra Online Limited | Akme Fintrade vs. Sanginita Chemicals Limited | Akme Fintrade vs. Kewal Kiran Clothing |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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