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Should I Buy NASDAQ:AUDC Stock? (3% Forecasted Return)

For these reasons, although the criteria establish no rating threshold for liquidity, we typically expect: Instances of 'B+' and below rated issuers achieving liquidity descriptors higher than adequate to be rare and Few companies to qualify for the exceptional category, and these entities to typically have issuer credit ratings of 'BBB-' or above.Under times of stress, such actions could include dividend cuts, suspension of share repurchases, or maintenance of minimum cash balances. This is particularly relevant for exceptional and strong assessments, where issuers are required to carry higher levels of excess liquidity even during times of stress. For example, when assessing liquidity, we would generally expect companies to be able to cover the full amount of dividends and share repurchases included in our base-case forecast, while still maintaining excess liquidity and achieving the required A/B and A-B measures under a stress case.While we only include contractual acquisitions when calculating A/B and A-B, when evaluating qualitative factors, we focus more on a company's track record and our expectation for financial management. In this respect, the quantitative and qualitative factors under the liquidity criteria are meant to complement each other and produce a more comprehensive view of a company's future liquidity position. We estimate AUDC AudioCodes Ltd. stock forecast parameters by: RC Phase Shift Oscillator with Ridge Regression because of management has no or few defined standards and tolerances and little risk management capability (3% Forecasted Return)

NASDAQ:AUDC Price Targets, Stock Forecast (Buy or Sell) as of 11 Jun 2022 for (n+3 month)

Stock: AUDC AudioCodes Ltd.

Time series to forecast n: 11 Jun 2022 for (n+3 month)

x axis:Likelihood %
y axis:Potential Impact %
z axis:Color (yellow to green) Technical Analysis %

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In our experiment, we focus on an approach known as Decision making using game theory. We apply principles from game theory to model the relationships between rating actions, news, market signals and decision making.

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