Arch Indices Correlations
The correlation of Arch Indices is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
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Related Correlations Analysis
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Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
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Arch Indices Competition Risk-Adjusted Indicators
There is a big difference between Arch Etf performing well and Arch Indices ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Arch Indices' multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
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META | 1.36 | 0.28 | 0.17 | 0.57 | 1.44 | 3.22 | 7.11 | |||
MSFT | 1.03 | (0.05) | 0.00 | (0.16) | 0.00 | 2.20 | 10.31 | |||
UBER | 1.95 | 0.16 | 0.06 | 3.78 | 2.78 | 4.72 | 12.29 | |||
F | 1.35 | (0.11) | 0.00 | (0.13) | 0.00 | 2.55 | 10.97 | |||
T | 0.94 | 0.30 | 0.27 | 0.50 | 0.88 | 1.90 | 7.94 | |||
A | 1.07 | (0.03) | 0.00 | (0.07) | 0.00 | 2.81 | 9.03 | |||
CRM | 1.45 | (0.15) | 0.00 | (0.22) | 0.00 | 2.21 | 15.92 | |||
JPM | 0.89 | 0.14 | 0.11 | 0.15 | 1.16 | 1.97 | 6.85 | |||
MRK | 1.26 | (0.10) | 0.00 | (2.54) | 0.00 | 2.15 | 11.57 | |||
XOM | 0.91 | (0.12) | 0.00 | (0.43) | 0.00 | 1.76 | 5.69 |
Arch Indices Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Arch Indices etf to make a market-neutral strategy. Peer analysis of Arch Indices could also be used in its relative valuation, which is a method of valuing Arch Indices by comparing valuation metrics with similar companies.
Risk & Return | Correlation |