ac investment research

LSXMB Liberty Media Corporation Stock Forecast (10% Forecasted Return)



Our liquidity uses include dividends and share repurchases that we expect under a stress scenario. Unlike other potential uses of liquidity, such as debt maturities or maintenance capital spending, we view dividends and share repurchases as more discretionary, although more so for the latter. For this reason, when evaluating a company's liquidity position, we may use a lower estimate of dividends and shareholder repurchases than in our base-case forecast based on our views of management and the company's track record in terms of shareholder returns and maintaining a certain minimum level of liquidity.We do not treat repayments of leases as debt maturities (even if International Financial Reporting Standard 16 shows them as such in the cash flow statement) because we already have reduced FFO by such lease cash outflow.

Is NASDAQ:LSXMB a Good Stock to Buy?

In these cases, the level of capital expenditures will be lower than estimates in our base-case forecast to determine an issuer's financial risk profile, particularly for companies that are pursuing discrete growth projects that have not been committed or can be easily curtailed in case of a need to preserve cash. We estimate LSXMB Liberty Media Corporation stock forecast parameters by: Rating with Independent T-Test because of the firm's business is modestly more concentrated than average for peers, and the concentration represents modest incremental risk above what is captured in the anchor, but it is not a key credit weakness (10% Forecasted Return)

NASDAQ:LSXMB Stock Forecast (Buy or Sell) as of 16 Jun 2022 for (n+4 weeks)

Stock: LSXMB Liberty Media Corporation

Time series to forecast n: 16 Jun 2022 for (n+4 weeks)

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




AC Investment Research

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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