Jun. 14 2018 — A U.S. district judge on June 12 approved AT&T Inc.'s acquisition of Time Warner Inc. with no restrictions, which should open up the media M&A floodgates in a world that is increasingly moving toward digital consumption of content. First up to bat: competitive bidding for most of 21st Century Fox Inc.

Comcast Corp., emboldened by the decision that the merger did not violate antitrust laws, offered on June 13 to purchase most of 21st Century Fox for $79.17 billion in cash, a 19.7% premium to Walt Disney Co.'s stock offer of $66.14 billion, worth $68.36 billion based on the close of Disney's stock June 13.

On a cash flow basis, the deal would be expensive, at 14.1x 2018 cash flow, although this drops to less than 10x when $2 billion in synergies are factored in.

Although the offer from Comcast is attractive, we think a competing offer that allowed shareholders to choose cash or stock may have been more attractive to some shareholders that have a low basis in their shares. Since this deal was widely expected to be announced, Disney has had plenty of time to consider whether it will bid higher, and if so, if it will do so with a mix of stock and cash. Should the board decide Comcast has the better deal, Disney would have five days to come up with a counter offer.

As the table below shows, the regional sports networks are the most expensive piece of the company, valued at an estimated $19.14 billion in the Comcast offer.

Jun. 11 2018 — The year 2018 marks the 50th anniversary of the Altman Z-score, which was designed to gauge credit strength of publicly traded manufacturing corporates. Until this day, the model has been used by financial practitioners to obtain a condensed picture of the financial strength of a company, and serves as a benchmark for credit risk assessment models.

As a part of providing data and tools for a comprehensive analysis of credit risk, S&P Global Market Intelligence has developed a family of PD Model Fundamentals (PDFN). The PDFN is a statistical model that produces probability of default (PD) values over a one- to more than thirty-year horizon for public and private banks and corporations of any size. The model maps the PD values to credit scores¹ (i.e. ‘bbb’), based on historical observed default rates (ODRs) extracted from S&P Global Ratings’ database (available on CreditPro® ) PDFN also offers a global coverage of over 250 countries and more than 20 segments, regions, and industries.

PDFN incorporates both financial risk and business risk to generate the overall PD value. This innovative approach captures, in a statistical PD model, important credit risk drivers as identified by S&P Global Ratings’ extensive experience in corporate credit assessments, and provides users with a well-rounded measure of credit risk, where different sources can be easily identified.

We apply the credit assessment metrics to analyze one of the most publicized bankruptcy events in the last decade, the case of General Motors (General Motors Company, formerly General Motors Corporation). In Figure 1 we present the historical evolution of credit risk for General Motors (GM) from January 2005 to May 2018, accompanied by bankruptcy related Key Developments. We compare assessed credit score by PDFN, Altman Z-score, and corresponding S&P Global Ratings Issuer Credit Rating.

At the beginning of 2005, PDFN indicates a credit risk score of ‘bbb-‘, while the S&P Global Ratings Issuer Credit Rating is ‘BBB-‘. The credit risk score indicates that General Motors had adequate capacity to meet its financial commitments. However, adverse economic conditions or changing circumstances are more likely to lead to a weakened capacity of the obligor to meet its financial commitments. Likewise, the Z-score indicates a rather problematic financial situation, placing General Motors in distressed zone category.

In the following months, the credit quality of General Motors rapidly deteriorated. PDFN signals highly increased probability of financial distress already at the beginning of 2007, more than two years in advance. The implied ‘ccc’ credit score suggests high vulnerability to adverse business, financial, or economic conditions with at least a one-in-two likelihood of default. A few months before default, PDFN indicates a credit score of ‘cc’, thus expecting default to be highly likely. Similarly, the S&P Global Ratings Issuer Credit Ratings shows decaying credit quality, albeit the credit rating changes are more sporadic and have larger increments. The Z-score starts to show a significant deterioration of credit quality one year prior to default, but with a notable lag in comparison with PDFN.

After completion of the post-bankruptcy reorganization, creditworthiness of General Motors improved, and PDFN indicates a fairly stable credit risk profile with an implied score of ‘bbb’. In comparison, S&P Global Ratings Issuer Credit Rating initially shows a greater conservatism in light of the reorganization processes. Since then, the credit rating has improved steadily, converging with PDFN estimate. Z-score shows a somewhat steady estimate of credit risk, with a slight deterioration in the recent years.

Figure 1: Historical evolution of credit risk for General Motors (GM)

^{The shaded area denotes the period of reorganization between the bankruptcy announcement and reemergence of General Motors (GM) as a public company on the New York Stock Exchange (NYSE). Dashed vertical lines denote bankruptcy related Key Development (see corresponding numbers for details). The Z-score scale has been selected to match the credit score level at the beginning of the period.}

^{Source: S&P Global Market Intelligence (as of May 30th, 2018). For illustrative purposes only.}

General Motors (GM) – Key Developments:
(1) Nov 8, 2008: GM heads towards bankruptcy
(2) Dec 31, 2008: GM expects to receive $13.40 billion in funding from U.S. Department of The Treasury.
(3) Feb 14, 2009: GM contemplates bankruptcy
(4) Jun 1, 2009: GM filed for bankruptcy
(5) Nov 17, 2010: GM has completed an IPO and starts trading on NYSE

PDFN incorporates both financial and business risk dimensions to generate an overall PD value as well as an assessment of each individual dimension (financial and business risk). It also comes equipped with a useful analytic tool, the contribution analysis, which allows users to identify drivers of risk, in absolute or relative terms, to define potential paths to creditworthiness improvement or deterioration.

Figure 2 presents the current credit risk profile of General Motors as provided by the PDFN based on last twelve months of data. The contribution analysis indicates that overall business risk is strong, but the company’s financial position is aggressive and is currently the main driver of overall PD estimate. A deep dive analysis shows a weak total equity position which in addition to profitability (EBIT/Total Assets) and efficiency (EBIT/Revenues), resulting in limited financial flexibility (Retained Earnings/Total Assets), represent the risk factors with the largest driver for the assigned credit risk score for General Motors.

Figure 2: Credit risk profile of General Motors (GM)

^{Source: S&P Global Market Intelligence (as of May 30th, 2018). For illustrative purposes only.}

This case study exemplifies the value of PD Model Fundamentals, in providing predictive insights into companies’ creditworthiness and dynamic estimates of PD value and mapped credit score. Our model was trained and calibrated on default flags and is able to signal deterioration of credit quality well in advance of the actual bankruptcy event. The combination of both financial risk and business risk enables a comprehensive overview of a company's creditworthiness, while also providing an in-depth review of a company's credit risk profile to identify and distinguish the main sources of risk. S&P Global Market Intelligence leverages leading experience in developing PD models to achieve a high level of accuracy and a robust out-of-sample model performance. The integration of PDFN into the S&P Capital IQ platform allows users to access a global pre-scored database with more than 45,000 public companies and almost 700,000 private companies, obtain PD values for single or multiple companies, and perform a scenario analysis.

^{1 S&P Global Ratings does not participate in the creation of credit scores generated by S&P Global Market Intelligence. Lowercase nomenclature is used to differentiate S&P Global Market Intelligence PD credit model scores from the uppercase credit ratings issued by S&P Global Ratings.}

— Steve Piper shares Power Forecast insights and a recap of recent events in the US power markets in Q4 of 2017. Watch our video for power generation trends and forecasts for utilities in 2018.

— JPMorgan Chase & Co. has work to do if it wants Chase Pay to have the same kind of customer adoption as PayPal Holdings Inc.'s digital wallet, based on the results of a recent survey commissioned by S&P Global Market Intelligence.

About 39% of the individuals that used a mobile payment app to pay for an in-store retail purchase in the 30 days prior to taking the survey had used PayPal, versus 13% for Chase Pay.

This was one of several findings of the survey, which began with 904 respondents. Of those, 405 had not used a mobile payment app in the past 30 days, which gave us insight into why respondents would not want to use such services. The 499 that did use mobile payment services, meanwhile, yielded clues on what people do with their apps, such as the aforementioned in-store retail purchases.

Despite offering alternative services, Chase Pay recently partnered with PayPal, letting clients link their cards to their PayPal accounts through Chase Pay to access the PayPal wallet. This is not uncommon, as PayPal partners with other large banks and credit card issuers, such as Bank of America Corp. and Citigroup Inc., to link customer cards to their app. And as our survey data illustrated, respondents often used more than one wallet service.

PayPal also dominated in the survey question regarding person-to-person payments. Nearly 70% of those that had transferred money to an individual used PayPal, and the third most-used app was Venmo, which PayPal also owns.

Based on our survey, bank apps were slightly more popular than Venmo for person-to-person payments, with about 25% of respondents saying they had used a mobile bank app and about 23% saying they had used Venmo.

Methodology

The S&P Global Market Intelligence 2018 mobile payments survey was fielded between February 8 and February 14 across a nationwide random sample of 499 U.S. respondents 18 years and older that had used a mobile payment service on a smartphone, tablet, or smartwatch in the 30 days prior to taking the survey, and 405 respondents who had not used mobile payment services. Results have a margin of error of +/- 4.5% at the 95% confidence level based on the sample size of 499, and +/- 5.0% based on the sample size of 405.

Already a client? Access more data and insights from the full 2018 Mobile Payments Survey. The results of the 2017 survey can be found here.