Gabelli Utilities Fund Beneish M Score

GUXPX Fund   6.16  0.03  0.49%   
This module uses fundamental data of Gabelli Utilities to approximate the value of its Beneish M Score. Gabelli Utilities M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Gabelli Utilities. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in american community survey.
  
At this time, Gabelli Utilities' M Score is inapplicable. The earnings manipulation may begin if Gabelli Utilities' top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by Gabelli Utilities executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of Gabelli Utilities' earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-4.84
Beneish M Score - Inapplicable
Elasticity of Receivables

N/A

Focus
Asset Quality

N/A

Focus
Expense Coverage

N/A

Focus
Gross Margin Strengs

N/A

Focus
Accruals Factor

N/A

Focus
Depreciation Resistance

N/A

Focus
Net Sales Growth

N/A

Focus
Financial Leverage Condition

N/A

Focus

Did you try this?

Run My Watchlist Analysis Now

   

My Watchlist Analysis

Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
All  Next Launch Module

About Gabelli Utilities Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Gabelli Utilities's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Gabelli Utilities using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Gabelli Utilities based on its fundamental data. In general, a quantitative approach, as applied to this mutual fund, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

Also Currently Popular

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.

Other Information on Investing in Gabelli Mutual Fund

Gabelli Utilities financial ratios help investors to determine whether Gabelli 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 Gabelli with respect to the benefits of owning Gabelli Utilities security.
Content Syndication
Quickly integrate customizable finance content to your own investment portal
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like