Hennessy Balanced Fund Price on July 31, 6022
HBFBX Fund | USD 11.96 0.02 0.17% |
Below is the normalized historical share price chart for Hennessy Balanced Fund extending back to October 10, 1997. 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 Hennessy Balanced stands at 11.96, as last reported on the 14th of December 2024, with the highest price reaching 11.96 and the lowest price hitting 11.96 during the day.
If you're considering investing in Hennessy Mutual Fund, it is important to understand the factors that can impact its price. Hennessy Balanced holds Efficiency (Sharpe) Ratio of -0.0839, which attests that the entity had a -0.0839% return per unit of risk over the last 3 months. Hennessy Balanced exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hennessy Balanced's Market Risk Adjusted Performance of (0.17), standard deviation of 0.3569, and Risk Adjusted Performance of (0.03) to validate the risk estimate we provide.
Hennessy Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Hennessy |
Sharpe Ratio = -0.0839
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Estimated Market Risk
0.35 actual daily | 3 97% of assets are more volatile |
Expected Return
-0.03 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
-0.08 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Hennessy Balanced 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 Hennessy Balanced by adding Hennessy Balanced to a well-diversified portfolio.
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 Hennessy Balanced Mutual Fund history
Hennessy Balanced 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 Hennessy is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Hennessy Balanced 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 Hennessy Balanced stock prices may prove useful in developing a viable investing in Hennessy Balanced
The fund invests approximately 50 percent of its assets in roughly equal dollar amounts in the 10 highest dividend-yielding Dow Jones Industrial Average stocks , but limits exposure to market risk and volatility by investing approximately 50 percent of its assets in U.S. Treasury securities with a maturity of less than one year. It is non-diversified.
Hennessy Balanced Mutual Fund Technical Analysis
Hennessy Balanced 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
Hennessy Balanced Period Price Range
Low | December 14, 2024
| High |
0.00 | 0.00 |
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Hennessy Balanced December 14, 2024 Market Strength
Market strength indicators help investors to evaluate how Hennessy Balanced 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 Hennessy Balanced shares will generate the highest return on investment. By undertsting and applying Hennessy Balanced mutual fund market strength indicators, traders can identify Hennessy Balanced Fund entry and exit signals to maximize returns
Hennessy Balanced Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Hennessy Balanced's price direction in advance. Along with the technical and fundamental analysis of Hennessy Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Hennessy 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 | (0.03) | |||
Total Risk Alpha | (0.06) | |||
Treynor Ratio | (0.18) |
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Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Other Information on Investing in Hennessy Mutual Fund
Hennessy Balanced financial ratios help investors to determine whether Hennessy 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 Hennessy with respect to the benefits of owning Hennessy Balanced security.
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
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