Guggenheim Energy Correlations
| XGEIXDelisted Fund | USD 613.36 0.00 0.00% |
The correlation of Guggenheim Energy 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. If the correlation is 0, the equities are not correlated; they are entirely random.
Guggenheim |
Related Correlations Analysis
| 0.96 | 0.95 | 0.98 | 0.97 | 0.97 | FMSTX | ||
| 0.96 | 0.98 | 0.99 | 0.97 | 0.97 | PLAAX | ||
| 0.95 | 0.98 | 0.98 | 0.96 | 0.97 | LCGFX | ||
| 0.98 | 0.99 | 0.98 | 0.99 | 0.98 | AMONX | ||
| 0.97 | 0.97 | 0.96 | 0.99 | 0.99 | QCERX | ||
| 0.97 | 0.97 | 0.97 | 0.98 | 0.99 | GMCQX | ||
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Risk-Adjusted Indicators
There is a big difference between Guggenheim Mutual Fund performing well and Guggenheim Energy Mutual Fund 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 Guggenheim Energy's 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| FMSTX | 0.53 | 0.06 | 0.06 | 0.19 | 0.30 | 1.14 | 3.58 | |||
| PLAAX | 0.63 | 0.01 | (0.01) | 0.13 | 0.92 | 1.45 | 4.19 | |||
| LCGFX | 0.73 | 0.00 | (0.01) | 0.12 | 1.01 | 1.71 | 5.22 | |||
| AMONX | 0.71 | 0.03 | 0.03 | 0.15 | 0.85 | 1.63 | 4.55 | |||
| QCERX | 0.64 | (0.01) | (0.01) | 0.11 | 0.72 | 1.52 | 4.31 | |||
| GMCQX | 0.60 | (0.02) | (0.03) | 0.10 | 0.71 | 1.42 | 4.57 |
Guggenheim Energy 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 Guggenheim Energy mutual fund to make a market-neutral strategy. Peer analysis of Guggenheim Energy could also be used in its relative valuation, which is a method of valuing Guggenheim Energy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Still Interested in Guggenheim Energy Income?
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