Amg Managers Skyline Fund Price on October 21, 2024
| SKSEX Fund | USD 35.47 0.22 0.62% |
Below is the normalized historical share price chart for Amg Managers Skyline extending back to July 26, 1988. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Amg Managers stands at 35.47, as last reported on the 28th of November, with the highest price reaching 35.47 and the lowest price hitting 35.47 during the day.
If you're considering investing in Amg Mutual Fund, it is important to understand the factors that can impact its price. At this stage we consider Amg Mutual Fund to be very steady. Amg Managers Skyline secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the fund had a 0.13% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Amg Managers Skyline, which you can use to evaluate the volatility of the entity. Please confirm Amg Managers' mean deviation of 0.9133, and Risk Adjusted Performance of 0.1052 to double-check if the risk estimate we provide is consistent with the expected return of 0.18%.
Amg Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Amg |
Sharpe Ratio = 0.1319
| Best Portfolio | Best Equity | |||
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| Small Returns | SKSEX | |||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
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Estimated Market Risk
| 1.36 actual daily | 12 88% of assets are more volatile |
Expected Return
| 0.18 actual daily | 3 97% of assets have higher returns |
Risk-Adjusted Return
| 0.13 actual daily | 10 90% of assets perform better |
Based on monthly moving average Amg Managers is performing at about 10% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Amg Managers by adding it to a well-diversified portfolio.
Amg Managers Valuation on October 21, 2024
It is possible to determine the worth of Amg Managers on a given historical date. On October 21, 2024 Amg was worth 31.61 at the beginning of the trading date compared to the closed value of 31.61. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Amg Managers mutual fund. Still, in general, we apply an absolute valuation method to find Amg Managers' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Amg Managers where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Amg Managers' related companies.
| Open | High | Low | Close | Volume | |
| 32.25 | 32.25 | 32.25 | 32.25 | 1.00 | |
10/21/2024 | 31.61 | 31.61 | 31.61 | 31.61 | 1.00 |
| 31.46 | 31.46 | 31.46 | 31.46 | 1.00 |
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Amg Managers Trading Date Momentum on October 21, 2024
| On October 22 2024 Amg Managers Skyline was traded for 31.46 at the closing time. The highest daily price throughout the period was 31.46 and the lowest price was 31.46 . There was no trading activity during the period 1.0. Lack of trading volume on 10/22/2024 added to the next day price reduction. The trading price change to closing price of the next trading day was 0.47% . The overall trading delta to current closing price is 1.65% . |
Amg Managers Skyline Fundamentals Correlations and Trends
By evaluating Amg Managers' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Amg Managers' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Amg financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Amg Managers Mutual Fund history
Amg Managers investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Amg is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Amg Managers Skyline will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Amg Managers stock prices may prove useful in developing a viable investing in Amg Managers
Under normal circumstances, the fund invests at least 80 percent of its net assets, plus the amount of any borrowings for investment purposes, in equity securities of small-capitalization companies. Small-capitalization companies are those with a market capitalization, at the time of purchase, of less than 5 billion or otherwise within the range of capitalizations of companies in the Russell 2000 Index, the SP SmallCap 600 Index, or the Dow Jones U.S. Small-Cap Total Stock Market Index. The fund may also invest in REITs.
Amg Managers Mutual Fund Technical Analysis
Amg Managers technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Price Boundaries
Amg Managers Period Price Range
Low | November 28, 2024
| High |
0.00 | 0.00 |
Amg Managers Skyline cannot be verified against its exchange. Please verify the symbol is currently traded on NMFQS Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Amg Managers November 28, 2024 Market Strength
Market strength indicators help investors to evaluate how Amg Managers mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Amg Managers shares will generate the highest return on investment. By undertsting and applying Amg Managers mutual fund market strength indicators, traders can identify Amg Managers Skyline entry and exit signals to maximize returns
Amg Managers Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Amg Managers' price direction in advance. Along with the technical and fundamental analysis of Amg Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Amg to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.1052 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0489 | |||
| Treynor Ratio | 0.1121 |
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| Volume Indicators |
Other Information on Investing in Amg Mutual Fund
Amg Managers financial ratios help investors to determine whether Amg Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Amg with respect to the benefits of owning Amg Managers security.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |