Correlation Between S Hotels and Stock Exchange
Can any of the company-specific risk be diversified away by investing in both S Hotels and Stock Exchange 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 S Hotels and Stock Exchange into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between S Hotels and and Stock Exchange Of, you can compare the effects of market volatilities on S Hotels and Stock Exchange 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 S Hotels with a short position of Stock Exchange. Check out your portfolio center. Please also check ongoing floating volatility patterns of S Hotels and Stock Exchange.
Diversification Opportunities for S Hotels and Stock Exchange
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SHR and Stock is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding S Hotels and and Stock Exchange Of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stock Exchange and S 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 S Hotels and are associated (or correlated) with Stock Exchange. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stock Exchange has no effect on the direction of S Hotels i.e., S Hotels and Stock Exchange go up and down completely randomly.
Pair Corralation between S Hotels and Stock Exchange
Assuming the 90 days trading horizon S Hotels and is expected to generate 3.52 times more return on investment than Stock Exchange. However, S Hotels is 3.52 times more volatile than Stock Exchange Of. It trades about 0.09 of its potential returns per unit of risk. Stock Exchange Of is currently generating about -0.12 per unit of risk. If you would invest 224.00 in S Hotels and on September 27, 2024 and sell it today you would earn a total of 20.00 from holding S Hotels and or generate 8.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
S Hotels and vs. Stock Exchange Of
Performance |
Timeline |
S Hotels and Stock Exchange Volatility Contrast
Predicted Return Density |
Returns |
S Hotels and
Pair trading matchups for S Hotels
Stock Exchange Of
Pair trading matchups for Stock Exchange
Pair Trading with S Hotels and Stock Exchange
The main advantage of trading using opposite S Hotels and Stock Exchange positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if S Hotels position performs unexpectedly, Stock Exchange 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 Stock Exchange will offset losses from the drop in Stock Exchange's long position.S Hotels vs. Central Plaza Hotel | S Hotels vs. The Erawan Group | S Hotels vs. Minor International Public | S Hotels vs. Advanced Info Service |
Stock Exchange vs. The Navakij Insurance | Stock Exchange vs. TISCO Financial Group | Stock Exchange vs. S Hotels and | Stock Exchange vs. Inoue Rubber Public |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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