Allianzgi Convertible Income Fund Price on March 20, 2017
| NCV Fund | USD 3.04 0.01 0.33% |
Below is the normalized historical share price chart for Allianzgi Convertible Income extending back to March 27, 2003. 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 Allianzgi Convertible stands at 3.04, as last reported on the 20th of April, with the highest price reaching 3.07 and the lowest price hitting 3.03 during the day.
If you're considering investing in Allianzgi Fund, it is important to understand the factors that can impact its price. Allianzgi Convertible secures Sharpe Ratio (or Efficiency) of -0.0544, which signifies that the fund had a -0.0544% return per unit of risk over the last 3 months. Allianzgi Convertible Income exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Allianzgi Convertible's Standard Deviation of 0.8746, mean deviation of 0.6466, and Risk Adjusted Performance of (0.03) to double-check the risk estimate we provide.
Allianzgi Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Allianzgi |
Sharpe Ratio = -0.0544
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Estimated Market Risk
| 0.86 actual daily | 7 93% of assets are more volatile |
Expected Return
| -0.05 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| -0.05 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Allianzgi Convertible is not performing at its full potential. However, 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 Allianzgi Convertible by adding Allianzgi Convertible to a well-diversified portfolio.
Market Capitalization 422.9 M |
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
About Allianzgi Convertible Fund history
Allianzgi Convertible 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 Allianzgi is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Allianzgi Convertible 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 Allianzgi Convertible stock prices may prove useful in developing a viable investing in Allianzgi Convertible
Virtus Convertible Income Fund is a closed ended fixed income mutual fund launched and managed by Allianz Global Investors Fund Management LLC. Virtus Convertible Income Fund was formed on March 31, 2003 and is domiciled in the United States. Virtus Convertible operates under Asset Management classification in the United States and is traded on New York Stock Exchange.
Allianzgi Convertible Fund Technical Analysis
Allianzgi Convertible technical 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
Allianzgi Convertible Period Price Range
Allianzgi Convertible April 20, 2024 Market Strength
Market strength indicators help investors to evaluate how Allianzgi Convertible fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Allianzgi Convertible shares will generate the highest return on investment. By undertsting and applying Allianzgi Convertible fund market strength indicators, traders can identify Allianzgi Convertible Income entry and exit signals to maximize returns
Allianzgi Convertible Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Allianzgi Convertible's price direction in advance. Along with the technical and fundamental analysis of Allianzgi Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Allianzgi 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 | (0.03) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | (0.06) |
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Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Allianzgi Convertible Income. Also, note that the market value of any fund could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators. Note that the Allianzgi Convertible information on this page should be used as a complementary analysis to other Allianzgi Convertible's statistical models used 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.