Goldman Sachs Income Fund Beneish M Score

GSBIX Fund  USD 26.08  0.02  0.08%   
This module uses fundamental data of Goldman Sachs to approximate the value of its Beneish M Score. Goldman Sachs 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 Goldman Sachs Income. 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 gross domestic product.
  
At this time, Goldman Sachs' M Score is inapplicable. The earnings manipulation may begin if Goldman Sachs' 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 Goldman Sachs 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 Goldman Sachs' 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 Sync Your Broker Now

   

Sync Your Broker

Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
All  Next Launch Module

About Goldman Sachs Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Goldman Sachs Income's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Goldman Sachs using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Goldman Sachs Income 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 Goldman Mutual Fund

Goldman Sachs financial ratios help investors to determine whether Goldman 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 Goldman with respect to the benefits of owning Goldman Sachs security.
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
CEOs Directory
Screen CEOs from public companies around the world
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk