Correlation Between Power Assets and Meli Hotels
Can any of the company-specific risk be diversified away by investing in both Power Assets and Meli Hotels 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 Power Assets and Meli Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Assets Holdings and Meli Hotels International, you can compare the effects of market volatilities on Power Assets and Meli Hotels 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 Power Assets with a short position of Meli Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Assets and Meli Hotels.
Diversification Opportunities for Power Assets and Meli Hotels
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Power and Meli is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Power Assets Holdings and Meli Hotels International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Meli Hotels International and Power Assets 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 Power Assets Holdings are associated (or correlated) with Meli Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Meli Hotels International has no effect on the direction of Power Assets i.e., Power Assets and Meli Hotels go up and down completely randomly.
Pair Corralation between Power Assets and Meli Hotels
Assuming the 90 days horizon Power Assets Holdings is expected to generate 0.68 times more return on investment than Meli Hotels. However, Power Assets Holdings is 1.46 times less risky than Meli Hotels. It trades about 0.17 of its potential returns per unit of risk. Meli Hotels International is currently generating about 0.1 per unit of risk. If you would invest 610.00 in Power Assets Holdings on October 7, 2024 and sell it today you would earn a total of 50.00 from holding Power Assets Holdings or generate 8.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Power Assets Holdings vs. Meli Hotels International
Performance |
Timeline |
Power Assets Holdings |
Meli Hotels International |
Power Assets and Meli Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Assets and Meli Hotels
The main advantage of trading using opposite Power Assets and Meli Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Assets position performs unexpectedly, Meli Hotels 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 Meli Hotels will offset losses from the drop in Meli Hotels' long position.Power Assets vs. Hyatt Hotels | Power Assets vs. THORNEY TECHS LTD | Power Assets vs. MELIA HOTELS | Power Assets vs. Akamai Technologies |
Meli Hotels vs. PLAYTECH | Meli Hotels vs. PLAYTIKA HOLDING DL 01 | Meli Hotels vs. CHINA SOUTHN AIR H | Meli Hotels vs. Playa Hotels Resorts |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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