ac investment research

GEEC GREAT EASTERN ENERGY CORP LD Stock Forecast (19% Forecasted Return)



Larger, investment-grade issuers that have access to both public and private debt markets have greater flexibility than companies that depend solely on private bank loans. In addition, we consider whether a company can borrow on an unsecured basis, has access to the commercial paper markets, and issues debt in multiple geographies. It is more costly to raise debt in the public bond markets and often requires a company to establish a track record among investors. These costs and information asymmetry issues sometimes make it impractical for smaller, speculative-grade issuers to raise small amounts of debt in public markets.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.

Is LON:GEEC a Good Stock to Buy?

Likewise, we do not consider factoring programs under sources of liquidity. Unlike asset-based lending (ABL) facilities, factoring is more of a sales transaction and not a loan. In addition, these transactions tend to be very short term. For this reason, we would not consider them a committed source of future liquidity over a 12-month period. We estimate GEEC GREAT EASTERN ENERGY CORP LD stock forecast parameters by: Rating with ElasticNet Regression because the company faces substantial refinancing risk given significant maturities (19% Forecasted Return)

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

Stock: GEEC GREAT EASTERN ENERGY CORP LD

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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