Correlation Between Samhi Hotels and Selan Exploration
Can any of the company-specific risk be diversified away by investing in both Samhi Hotels and Selan Exploration 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 Samhi Hotels and Selan Exploration into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samhi Hotels Limited and Selan Exploration Technology, you can compare the effects of market volatilities on Samhi Hotels and Selan Exploration 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 Samhi Hotels with a short position of Selan Exploration. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samhi Hotels and Selan Exploration.
Diversification Opportunities for Samhi Hotels and Selan Exploration
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Samhi and Selan is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Samhi Hotels Limited and Selan Exploration Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Selan Exploration and Samhi Hotels 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 Samhi Hotels Limited are associated (or correlated) with Selan Exploration. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Selan Exploration has no effect on the direction of Samhi Hotels i.e., Samhi Hotels and Selan Exploration go up and down completely randomly.
Pair Corralation between Samhi Hotels and Selan Exploration
Assuming the 90 days trading horizon Samhi Hotels is expected to generate 2.23 times less return on investment than Selan Exploration. But when comparing it to its historical volatility, Samhi Hotels Limited is 1.37 times less risky than Selan Exploration. It trades about 0.04 of its potential returns per unit of risk. Selan Exploration Technology is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 27,585 in Selan Exploration Technology on October 31, 2024 and sell it today you would earn a total of 33,140 from holding Selan Exploration Technology or generate 120.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 68.66% |
Values | Daily Returns |
Samhi Hotels Limited vs. Selan Exploration Technology
Performance |
Timeline |
Samhi Hotels Limited |
Selan Exploration |
Samhi Hotels and Selan Exploration Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samhi Hotels and Selan Exploration
The main advantage of trading using opposite Samhi Hotels and Selan Exploration positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samhi Hotels position performs unexpectedly, Selan Exploration 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 Selan Exploration will offset losses from the drop in Selan Exploration's long position.Samhi Hotels vs. State Bank of | Samhi Hotels vs. Life Insurance | Samhi Hotels vs. HDFC Bank Limited | Samhi Hotels vs. ICICI Bank Limited |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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