Federated Mutual Fund Market Value

QAMNX
 Fund
  

USD 17.70  0.02  0.11%   

Federated Hermes' market value is the price at which a share of Federated Hermes stock trades on a public exchange. It measures the collective expectations of Federated Hermes Mdt investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Federated Hermes Mdt and determine expected loss or profit from investing in Federated Hermes over a given investment horizon. Please see Federated Hermes Hype Analysis, Federated Hermes Correlation, Portfolio Optimization, Federated Hermes Volatility, as well as analyze Federated Hermes Alpha and Beta and Federated Hermes Performance.
Symbol

Please note, there is a significant difference between Federated Hermes' value and its price as these two are different measures arrived at by different means. Investors typically determine Federated Hermes value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Federated Hermes' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Federated Hermes 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Federated Hermes' mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Federated Hermes.
0.00
08/27/2020
No Change 0.00  0.0 
In 1 year 11 months and 22 days
08/17/2022
0.00
If you would invest  0.00  in Federated Hermes on August 27, 2020 and sell it all today you would earn a total of 0.00 from holding Federated Hermes Mdt or generate 0.0% return on investment in Federated Hermes over 720 days. Federated Hermes is related to or competes with Pfizer. The fund seeks to achieve its objective by selecting long positions in publicly traded common stocks which its quantitat...More

Federated Hermes Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Federated Hermes' mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Federated Hermes Mdt upside and downside potential and time the market with a certain degree of confidence.

Federated Hermes Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Federated Hermes' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Federated Hermes' standard deviation. In reality, there are many statistical measures that can use Federated Hermes historical prices to predict the future Federated Hermes' volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Federated Hermes' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Federated Hermes in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
17.2717.7018.13
Details
Intrinsic
Valuation
LowReal ValueHigh
17.3817.8118.24
Details
Naive
Forecast
LowNext ValueHigh
17.0517.4717.90
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
17.5918.1518.71
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Federated Hermes. Your research has to be compared to or analyzed against Federated Hermes' peers to derive any actionable benefits. When done correctly, Federated Hermes' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Federated Hermes Mdt.

Federated Hermes Mdt Backtested Returns

Federated Hermes Mdt secures Sharpe Ratio (or Efficiency) of -0.16, which denotes the fund had -0.16% of return per unit of risk over the last 3 months. Macroaxis standpoint towards predicting the risk of any fund is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Federated Hermes Mdt exposes twenty-one different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Federated Hermes Mdt mean deviation of 0.3292, and Coefficient Of Variation of (499.56) to check the risk estimate we provide.
The fund shows a Beta (market volatility) of 0.0371, which means not very significant fluctuations relative to the market. Let's try to break down what Federated's beta means in this case. As returns on the market increase, Federated Hermes returns are expected to increase less than the market. However, during the bear market, the loss on holding Federated Hermes will be expected to be smaller as well. Even though it is essential to pay attention to Federated Hermes Mdt historical returns, it is always good to be careful when utilizing equity current trending patterns. Our philosophy towards predicting any fund's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Federated Hermes Mdt exposes twenty-one different technical indicators, which can help you to evaluate its performance.

Auto-correlation

    
  0.00  

No correlation between past and present

Federated Hermes Mdt has no correlation between past and present. Overlapping area represents the amount of predictability between Federated Hermes time series from 27th of August 2020 to 22nd of August 2021 and 22nd of August 2021 to 17th of August 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Federated Hermes Mdt price movement. The serial correlation of 0.0 indicates that just 0.0% of current Federated Hermes price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test0.0
Residual Average0.0
Price Variance0.0

Federated Hermes Mdt lagged returns against current returns

Autocorrelation, which is Federated Hermes mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Federated Hermes' mutual fund expected returns. We can calculate the autocorrelation of Federated Hermes returns to help us make a trade decision. For example, suppose you find that Federated Hermes mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   
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       Timeline  

Federated Hermes regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Federated Hermes mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Federated Hermes mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Federated Hermes mutual fund over time.
   Current vs Lagged Prices   
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       Timeline  

Federated Hermes Lagged Returns

When evaluating Federated Hermes' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Federated Hermes mutual fund have on its future price. Federated Hermes autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Federated Hermes autocorrelation shows the relationship between Federated Hermes mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Federated Hermes Mdt.
   Regressed Prices   
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       Timeline  

Federated Hermes Investors Sentiment

The influence of Federated Hermes' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Federated. The overall investor sentiment generally increases the direction of a fund movement in a one-year investment horizon. However, the impact of investor sentiment on the entire fund markets does not have a solid backing from leading economists and market statisticians.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Federated Hermes in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Federated Hermes' short interest history, or implied volatility extrapolated from Federated Hermes options trading.

Currently Active Assets on Macroaxis

Please see Federated Hermes Hype Analysis, Federated Hermes Correlation, Portfolio Optimization, Federated Hermes Volatility, as well as analyze Federated Hermes Alpha and Beta and Federated Hermes Performance. Note that the Federated Hermes Mdt information on this page should be used as a complementary analysis to other Federated Hermes' 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

Complementary Tools for Federated Mutual Fund analysis

When running Federated Hermes Mdt price analysis, check to measure Federated Hermes' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Federated Hermes is operating at the current time. Most of Federated Hermes' value examination focuses on studying past and present price action to predict the probability of Federated Hermes' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Federated Hermes' price. Additionally, you may evaluate how the addition of Federated Hermes to your portfolios can decrease your overall portfolio volatility.
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Federated Hermes 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.
A focus of Federated Hermes technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Federated Hermes trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...