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PSEG announces retirements of 2 NJ coal plants

Street Talk Episode 40 - Digital Banks Take a Page Out of 'Mad Men'

Broadband Only Homes Skyrocket In 2018 Validating Top MSOs Connectivity Pivot

Power Forecast Briefing: As retirements accelerate, can renewable energy fill the gap?

2019 Credit Risk Perspectives: Is The Credit Cycle Turning? A Fundamentals View


PSEG announces retirements of 2 NJ coal plants

PSEG Power LLC,a subsidiary of the PublicService Enterprise Group Inc., plans to retire its and coal plants on June 1,2017.

The subsidiary's board on Oct. 3 decided to cease operationsof the 620-MW Hudson unit 2, which began operating in 1968, and the 632-MWMercer station, which consists of two steam turbines that began operating inthe early 1960s, according to PSEG's latest Form 8-K.

The Newark-based utility said "sustained low prices ofnatural gas" along with the fact that neither plant was able to clear thelast two PJM Interconnection LLCcapacity auctions left it unable to justify any significant investment toupgrade the plants to meet reliability standards.

"The plants' capacity payments have been critical totheir profitability and PSEG's ability to continue to invest in modernizingthem," the company said in a release.

The closures are expected to have a material impact to PSEG'sresults in the third quarter of 2016. In that quarter, PSEG will realizeone-time, pre-tax charges of $40 million to $70 million in energy costs relatedto inventory reserve adjustments and $35 million to $77 million for operationand maintenance costs related to impairments of materials and supplies andconstruction work in progress, according to the Form 8-K. The operation andmaintenance costs also include employee-related severance benefits.

PSEG also expects to incur ongoing incremental non-cash chargesto earnings this year and in 2017 because of the accelerated depreciation ofthe plant assets and additional asset retirement costs, PSEG said in its Form8-K. The depreciation and amortization pretax expense is $560 million to $580million in 2016 and $940 million to $960 million in 2017.

Total expenses are estimated between $635 million and $727million in 2016 and $940 million and $970 million in 2017.

If PSEG Power determines not to use the sites of the twoplants for other industrial activity, that could incur further costs fromtriggering "implementation of investigation and possible remediation ofany existing environmental contamination…," the company said in itsfinancial disclosure.

A "sustained period" of depressed wholesale powerprices and reduced capacity factors as a result of low natural gas prices hasmade coal generation in the region less competitive to natural gas-firedgeneration. Though the two plants are also capable of burning natural gas, "theyhave higher operating costs and fuel consumption as well as longer start-uptimes compared to newer combined-cycle gas units," PSEG said.

Coal purchases fell dramatically in recent years with theHudson 2 unit purchasing about 153,000 short tons or less annually since 2012,down from 916,000 tons in 2010. The Mercer plant purchased 75,000 tons in 2015,down from about 378,000 tons purchased in 2010, S&P Global data shows.

Since 2010, the units have increasingly been relying onnatural gas. Average capacity factors since 2012 show that the two stationsoperated mainly during peak periods. Capacity factors for Mercer averaged at11% or lower since 2012 while the Hudson station had capacity factors at about20% or lower in that same timeframe, S&P Global data shows.

The financial filing also mentioned that the regional gridoperator, PJM, will evaluate any reliability impacts from the early retirements.

Though the region experienced a warmer-than-normal summer,electricity prices were not volatile enough to lead to increased dispatch ofthe plants, which typically run during very hot or cold periods.

PSEG is working with roughly 200 employees across the twoplants and local unions "to ensure that the plants continue to operatesafely through their retirement dates and to place as many employees aspossible within PSEG's family of companies," the company said.

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Listen: Street Talk Episode 40 - Digital Banks Take a Page Out of 'Mad Men'

Mar. 20 2019 — Some fintech companies are making hay with digital platforms that tout their differences with banks, even though they are often offering virtually the same products. In the episode, we discuss with colleagues Rachel Stone and Kiah Haslett the deposit strategies employed by the likes of Chime, Aspiration and other incumbent players such as Ally Financial, Discover and Capital One. Those efforts conjure up memories of a Don Draper pitch in Mad Men and likely will enjoy continued success.

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Technology, Media & Telecom
Broadband Only Homes Skyrocket In 2018 Validating Top MSOs Connectivity Pivot

Highlights

The segment stood at an estimated 23.6 million as of Dec. 31, 2018, accounting for 24% of all wireline high-speed data homes.

The following post comes from Kagan, a research group within S&P Global Market Intelligence.

To learn more about our TMT (Technology, Media & Telecommunications) products and/or research, please request a demo.

Mar. 20 2019 — The U.S. broadband-only home segment logged its largest net adds on record in 2018, validating Comcast Corp.'s and Charter Communications Inc.'s moves to make broadband, or connectivity, the keystone of their cable communication businesses.

The size and momentum of the segment also put in perspective the recent high-profile online-video video announcements by the top two cable operators as well as AT&T Inc.'s WarnerMedia shake-up and plans to go toe-to-toe with Netflix in the subscription video-on-demand arena in the next 12 months.

We estimate that wireline broadband households not subscribing to traditional multichannel, or broadband-only homes, rose by nearly 4.3 million in 2018, topping the gains from the previous year by roughly 22%. Overall, the segment stood at an estimated 23.6 million as of Dec. 31, 2018, accounting for 24% of all wireline high-speed data homes.

For perspective, broadband-only homes stood at an estimated 11.3 million a mere four years ago, accounting for 13% of residential cable and telco broadband subscribers.

The once all-powerful, must-have live linear TV model, which individuals and families essentially treated as a utility upon moving into a new residence, increasingly is viewed as too expensive and unwieldy in the era of affordable, nimble internet-based video alternatives. This has resulted in a sizable drop in penetration of occupied households.

As a result, continued legacy cord cutting is baked in and broadband-only homes are expected to continue to rise at a fast clip, with the segment's momentum in the next few years compounded by Comcast's, Charter's and AT&T's ambitious moves into online-video territory.

Note: we revised historical broadband-only home estimates as part of our fourth-quarter 2018, following restatements of historical telco broadband subscriber figures and residential traditional multichannel subscriber adjustments.

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Q4'18 multichannel video losses propel full-year drop to edge of 4 million

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Q4'18 multiproduct analysis sheds more light on video's fall from grace

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Watch: Power Forecast Briefing: As retirements accelerate, can renewable energy fill the gap?

Mar. 19 2019 — Steve Piper shares the outlook for U.S. power markets, discussing capacity retirements and whether continued development of wind and solar power plants may mitigate the generation shortfall.

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Credit Analysis
2019 Credit Risk Perspectives: Is The Credit Cycle Turning? A Fundamentals View

Mar. 15 2019 — On November 20, 2018, a joint event hosted by S&P Global Market Intelligence and S&P Global Ratings took place in London, focusing on credit risk and 2019 perspectives.

Pascal Hartwig, Credit Product Specialist, and I provided a review of the latest trends observed across non-financial corporate firms through the lens of S&P Global Market Intelligence’s statistical models.1 In particular, Pascal focused on the outputs produced by a statistical model that uses market information to estimate credit risk of public companies; if you want to know more, you can visit here.

I focused on an analysis of how different Brexit scenarios may impact the credit risk of European Union (EU) private companies that are included on S&P Capital IQ platform.

Before, this, I looked at the evolution of their credit risk profile from 2013 to 2017, as shown in Figure 1. Scores were generated via Credit Analytics’ PD Model Fundamentals Private, a statistical model that uses company financials and other socio-economic factors to estimate the PD of private companies globally. Credit scores are mapped to PD values, which are based on/derived from S&P Global Ratings Observed Default Rates.

Figure 1: EU private company scores generated by PD Model Fundamentals Private, between 2013 and 2017.

Source: S&P Global Market Intelligence.2 As of October 2018.

For any given year, the distribution of credit scores of EU private companies is concentrated below the ‘a’ level, due to the large number of small revenue and unrated firms on the S&P Capital IQ platform. An overall improvement of the risk profile is visible, with the score distribution moving leftwards between 2013 and 2017. A similar picture is visible when comparing companies by country or industry sector,3 confirming that there were no clear signs of a turning point in the credit cycle of private companies in any EU country or industry sector. However, this view is backward looking and does not take into account the potential effects of an imminent and major political and economic event in the (short) history of the EU: Brexit.

To this purpose, S&P Global Market Intelligence has developed a statistical model: the Credit Analytics Macro-scenario model enables users to study how potential future macroeconomic scenarios may affect the evolution of the credit risk profile of EU private companies. This model was developed by looking at the historical evolution of S&P Global Ratings’ rated companies under different macroeconomic conditions, and can be applied to smaller companies after the PD is mapped to a S&P Global Market Intelligence credit score.

“Soft Brexit” (Figure 2): This scenario is based on the baseline forecast made by economists at S&P Global Ratings and is characterized by a gentle slow-down of economic growth, a progressive monetary policy tightening, and low yet volatile stock-market growth.4

Figure 2: “Soft Brexit” macro scenario.5

Source: S&P Global Ratings Economists. As of October 2018.

Applying the Macro-scenario model, we analyze the evolution of the credit risk profile of EU companies over a three-year period from 2018 to 2020, by industry sector and by country:

  • Sector Analysis (Figure 3):
    • The median credit risk score within specific industry sectors (Aerospace & Defense, Pharmaceuticals, Telecoms, Utilities, and Real Estate) shows a good degree of resilience, rising by less than half a notch by 2020 and remaining comfortably below the ‘b+’ threshold.
    • The median credit score of the Retail and Consumer Products sectors, however, is severely impacted, breaching the high risk threshold (here defined at the ‘b-’ level).
    • The remaining industry sectors show various dynamics, but essentially remain within the intermediate risk band (here defined between the ‘b+’ and the ‘b-’ level).

Figure 3: “Soft Brexit” impact on the median credit risk level of EU private companies, by industry.

Source: S&P Global Market Intelligence. As of October 2018.

  • Country Analysis (Figure 4):
    • Although the median credit risk score may not change significantly in certain countries, the associated default rates need to be adjusted for the impact of the credit cycle.6 The “spider-web plot” shows the median PD values for private companies within EU countries, adjusted for the credit cycle. Here we include only countries with a minimum number of private companies within the Credit Analytics pre-scored database, to ensure a robust statistical analysis.
    • Countries are ordered by increasing level of median PD, moving clock-wise from Netherlands to Greece.
    • Under a soft Brexit scenario, the PD of UK private companies increases between 2018 and 2020, but still remains below the yellow threshold (corresponding to a ‘b+’ level).
    • Interestingly, Italian private companies suffer more than their Spanish peers, albeit starting from a slightly lower PD level in 2017.

Figure 4: “Soft Brexit” impact on the median credit risk level of EU private companies, by country.

Source: S&P Global Market Intelligence. As of October 2018.

“Hard Brexit” (Figure 5): This scenario is extracted from the 2018 Stress-Testing exercise of the European Banking Authority (EBA) and the Bank of England.7 Under this scenario, both the EU and UK may go into a recession similar to the 2008 global crisis. Arguably, this may seem a harsh scenario for the whole of the EU, but a recent report by the Bank of England warned that a disorderly Brexit may trigger a UK crisis worse than 2008.8

Figure 5: “Hard Brexit” macro scenario.9

Sources:”2018 EU-wide stress test – methodological note” (European Banking Authority, November 2017) and “Stress Testing the UK Banking system: 2018 guidance for participating banks and building societies“ (Bank of England, March 2018).

Also in this case, we apply the Macro-scenario model to analyze the evolution of the credit risk profile of EU companies over the same three-year period, by industry sector and by country:

  • Sector Analysis (Figure 6):
    • Despite all industry sectors being severely impacted, the Pharmaceuticals and Utilities sectors remain below the ‘b+’ level (yellow threshold).
    • Conversely, the Airlines and Energy sectors join Retail and Consumer Products in the “danger zone” above the ‘b-’ level (red threshold).
    • The remaining industry sectors will either move into or remain within the intermediate risk band (here defined between the ‘b+’ and the ‘b-’ level).

Figure 6: “Hard Brexit” impact on the median credit risk level of EU private companies, by industry.

Source: S&P Global Market Intelligence. As of October 2018.

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  • Country Analysis (Figure 7):
    • Under a hard Brexit scenario, the PD of UK private companies increases between 2017 and 2020, entering the intermediate risk band and suffering even more than its Irish peers.
    • Notably, by 2020 the French private sector may suffer more than the Italian private sector, reaching the attention threshold (here shown as a red circle, and corresponding to a ‘b-’ level).
    • While it is hard to do an exact like-for-like comparison, it is worth noting that our conclusions are broadly aligned with the findings from the 48 banks participating in the 2018 stress-testing exercise, as recently published by the EBA:10 the major share of 2018-2020 new credit risk losses in the stressed scenario will concentrate among counterparties in the UK, Italy, France, Spain, and Germany (leaving aside the usual suspects, such as Greece, Portugal, etc.).

Figure 7: “Hard Brexit” impact on the median credit risk level of EU private companies, by country.

Source: S&P Global Market Intelligence. As of October 2018.

In conclusion: In Europe, the private companies’ credit risk landscape does not yet signal a distinct turning point, however Brexit may act as a pivot point and a catalyst for a credit cycle inversion, with an intensity that will be dependent on the Brexit type of landing (i.e., soft versus hard).

1 S&P Global Ratings does not contribute to or participate in the creation of credit scores generated by S&P Global Market Intelligence.
2 Lowercase nomenclature is used to differentiate S&P Global Market Intelligence credit scores from the credit ratings issued by S&P Global Ratings.
3 Not shown here.
4 Measured via Gross Domestic Product (GDP) Growth, Long-term / Short-term (L/S) European Central Bank Interest Rate Spread, and FTSE100 or STOXX50 stock market growth, respectively.
5 Macroeconomic forecast for 2018-2020 (end of year) by economists at S&P Global Ratings; the baseline case assumes the UK and the EU will reach a Brexit deal (e.g. a “soft Brexit”).
6 When the credit cycle deteriorates (improves), default rates are expected to increase (decrease).
7 Source: “2018 EU-wide stress test – methodological note” (EBA, November 2017) and “Stress Testing the UK Banking system: 2018 guidance for participating banks and building societies”. (Bank of England, March 2018).
8 Source: “EU withdrawal scenarios and monetary and financial stability – A response to the House of Commons Treasury Committee”. (Bank of England, November 2018).
9 As a hard Brexit scenario, we adopt the stressed scenario included in the 2018 stress testing exercise and defined by the EBA and the Bank of England.
10 See, for example, Figure 18 in “2018 EU-Wide Stress Test Result” (EBA November 2018), found at:https://eba.europa.eu/documents/10180/2419200/2018-EU-wide-stress-test-Results.pdf

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2019 Credit Risk Perspectives: Is The Credit Cycle Turning? A Market-Driven View

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