Correlation Between Netz Hotels and Blender Financial
Can any of the company-specific risk be diversified away by investing in both Netz Hotels and Blender Financial 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 Netz Hotels and Blender Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Netz Hotels and Blender Financial Technologies, you can compare the effects of market volatilities on Netz Hotels and Blender Financial 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 Netz Hotels with a short position of Blender Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Netz Hotels and Blender Financial.
Diversification Opportunities for Netz Hotels and Blender Financial
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Netz and Blender is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Netz Hotels and Blender Financial Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blender Financial and Netz 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 Netz Hotels are associated (or correlated) with Blender Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blender Financial has no effect on the direction of Netz Hotels i.e., Netz Hotels and Blender Financial go up and down completely randomly.
Pair Corralation between Netz Hotels and Blender Financial
Assuming the 90 days trading horizon Netz Hotels is expected to generate 1.57 times more return on investment than Blender Financial. However, Netz Hotels is 1.57 times more volatile than Blender Financial Technologies. It trades about 0.03 of its potential returns per unit of risk. Blender Financial Technologies is currently generating about -0.01 per unit of risk. If you would invest 5,320 in Netz Hotels on April 24, 2025 and sell it today you would earn a total of 130.00 from holding Netz Hotels or generate 2.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Netz Hotels vs. Blender Financial Technologies
Performance |
Timeline |
Netz Hotels |
Blender Financial |
Netz Hotels and Blender Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Netz Hotels and Blender Financial
The main advantage of trading using opposite Netz Hotels and Blender Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Netz Hotels position performs unexpectedly, Blender Financial 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 Blender Financial will offset losses from the drop in Blender Financial's long position.Netz Hotels vs. Harel Insurance Investments | Netz Hotels vs. Discount Investment Corp | Netz Hotels vs. IBI Mutual Funds | Netz Hotels vs. Meitav Dash Investments |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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