1. S&P Global Overview and Intecompany Financiang Chalenges and Solutions - James West
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S&P <strong>Global</strong> <strong>Overview</strong> <strong>and</strong><br />
Intercompany Financing<br />
Challenges <strong>and</strong> <strong>Solutions</strong><br />
<strong>James</strong> <strong>West</strong><br />
EMEA Head of Market Development for Public Sector & Professional Services<br />
S&P <strong>Global</strong> Market Intelligence<br />
11th May 2018<br />
Permission to reprint or distribute any content from this presentation requires the prior<br />
written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public.<br />
Copyright © 2018 by S&P <strong>Global</strong> Market Intelligence. All rights reserved.
Agenda<br />
• S&P <strong>Global</strong> – Company <strong>Overview</strong><br />
• S&P <strong>Global</strong> – Product <strong>Overview</strong><br />
• Technology <strong>and</strong> AI<br />
• Intercompany Financing <strong>Overview</strong><br />
– Challenges<br />
– Desktop<br />
– Credit Analytics<br />
– Yield Curves<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public. 2
Our divisions work together<br />
to give you a 360 degree view.<br />
Integrated offering of<br />
credit ratings, risk<br />
research <strong>and</strong> critical<br />
insights<br />
Leading-edge index<br />
methodologies <strong>and</strong><br />
research<br />
perspectives<br />
Market-leading global<br />
pricing benchmarks<br />
<strong>and</strong> deep supply<br />
chain analysis<br />
The most relevant<br />
<strong>and</strong> high quality<br />
business <strong>and</strong><br />
financial data<br />
Permission to reprint or distribute any content from this presentation requires the prior<br />
written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public. 3
Market Intelligence at a glance<br />
$<strong>1.</strong>68B division 230K+ active users 11,000+ employees<br />
San Francisco<br />
Chicago<br />
Denver<br />
Dallas<br />
Mexico City<br />
Toronto<br />
Halifax<br />
Boston<br />
New York<br />
Washington, D.C.<br />
Charlottesville<br />
Stockholm<br />
London<br />
Frankfurt<br />
Paris<br />
Milan<br />
Madrid<br />
Moscow<br />
Dubai<br />
Islamabad<br />
Ahmedabad<br />
Gurgaon<br />
Beijing<br />
Seoul<br />
Tokyo<br />
Shanghai<br />
Hong Kong<br />
Manila<br />
Singapore<br />
São Paulo<br />
Buenos Aires<br />
Johannesburg<br />
Perth<br />
Melbourne<br />
Sydney<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public. 4
Our clients depend on our data, news, <strong>and</strong><br />
analytics to make decisions with conviction.<br />
We serve a variety of clients across a range of sectors.<br />
Investment<br />
Management<br />
Investment<br />
Banking &<br />
Private Equity<br />
Banking &<br />
Insurance<br />
Corporates<br />
Professional<br />
Services &<br />
Public Institutions<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public. 5
Our products are designed for how you work.<br />
Desktop<br />
Our web-based platform combines S&P Capital IQ broad<br />
company coverage, comprehensive financial data <strong>and</strong><br />
research tools with SNL deep, sector-specific data to<br />
access company <strong>and</strong> asset-level information, exclusive<br />
news, proprietary research, regulatory insights, <strong>and</strong> more.<br />
Leveraging robust search <strong>and</strong> alert capabilities, powerful<br />
visual analytics, <strong>and</strong> user-specific profiles, clients gain a<br />
platform that is tailored to their workflows.<br />
From the Market Intelligence platform, users have oneclick<br />
access to Leveraged Commentary & Data (LCD)<br />
loan content <strong>and</strong> extensive reports to monitor markets<br />
<strong>and</strong> companies. Engage in deep credit analysis with<br />
RatingsDirect® for S&P <strong>Global</strong> Ratings <strong>and</strong> Research<br />
<strong>and</strong> Credit Analytics for views on public <strong>and</strong> private<br />
company credit risk.<br />
Office<br />
Create templates, download data, <strong>and</strong> update reports<br />
in real-time with robust add-ins for Microsoft Excel,<br />
Word, <strong>and</strong> PowerPoint.<br />
Mobile<br />
Hold the power of the S&P <strong>Global</strong> Market<br />
Intelligence universe in your h<strong>and</strong>s with mobile<br />
access, anywhere, anytime.<br />
Feeds<br />
Gain fast access to our wide range of financial<br />
data sets with our API <strong>and</strong> Xpressfeed, our<br />
powerful data feed management solution.<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public.<br />
6
Technology:<br />
AI & Machine Learning
Technology <strong>and</strong> AI At S&P <strong>Global</strong><br />
• Machine Learning (ML) <strong>and</strong> Advanced Analytics<br />
– Large volumes of unstructured but potentially useful data pose problems for many organizations<br />
– Algorithms than can identify structured data<br />
– Algorithm Training<br />
– Voice Technology <strong>and</strong> Data Scraping<br />
• Robotic Process Automation (RPA)<br />
– Software Automation to process routine tasks – data extraction <strong>and</strong> cleaning<br />
– Deployed more than 90 such automation bots in the last year<br />
– Bots have processed over 100 FTE of work; over 100,000 filings for debt capital structuring team<br />
– Improved speed <strong>and</strong> accuract<br />
• Natural Language Generation (NLG)<br />
– Acquisition of Kensho, data analytics <strong>and</strong> machine intelligence specialist<br />
– Software engine helps machines communicate with humans<br />
– Translates machine-generated data into prose<br />
– We integrate both NLG <strong>and</strong> RPA to publish news stories – 5,800 earnings stories in 5 days<br />
– Develop natural language search technology<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public. 8
Intercompany<br />
Financing
Intercompany Financing – Challenges<br />
• Pricing Inter-Company Loans /<br />
Determining Arms Length Prices<br />
– Assess credit risk of subsidiaries <strong>and</strong> link to<br />
market observable pricing, with full<br />
documentation.<br />
– This is very important to clear regulatory<br />
requirements <strong>and</strong> to avoid costly penalties<br />
• Common Tax Authority Dem<strong>and</strong>s<br />
– Parental/Government overlay<br />
– Macro Economic Stress Testing<br />
– Built in publishing function<br />
– Country & Background Economic information<br />
• BEPS (Base Erosion & Profit Shifting)<br />
– Transparency<br />
• Fair Pricing for different markets<br />
• Corporate Yield Curves Methodology<br />
• Corporate Yield Curve Transparency<br />
• Credit Analytics<br />
• Company & Reference data<br />
• Company Structure<br />
• Berry Ratios<br />
• Support Pricing Decisions to Clear<br />
Regulatory Scrutiny & Audits<br />
– Accurate comparable analysis for companies &<br />
debt instruments<br />
– Assess credit worthiness of subsidiaries &<br />
affiliates<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public. 10
Market Intelligence
S&P Capital IQ Platform<br />
Company Intelligence<br />
• Perform deep company <strong>and</strong> industry research<br />
– Financials from 88,000 public companies <strong>and</strong> over 4.4m profiled private companies<br />
– Company fundamental data – equities, fixed income capital structure, credit ratings<br />
– Extensive pricing <strong>and</strong> market data across all major quoted markets<br />
– Comparable analysis<br />
– Credit Health Panel<br />
– Extensive collection of broker <strong>and</strong> independent research reports<br />
– Analyst sentiment – S&P Capital IQ’s consensus <strong>and</strong> detailed estimates as well as industry-specific<br />
estimates<br />
• Monitor companies <strong>and</strong> markets<br />
– Access streaming quotes to a coverage universe or watch list<br />
– Market snapshots for indices mutual funds, futures, options, currencies & commodities<br />
– Events <strong>and</strong> transcripts, analyst estimates <strong>and</strong> updated financial performance<br />
• Screening Tool<br />
– Quickly search data points to add criteria<br />
– More than 5,000 financial <strong>and</strong> 3,000 qualitative data points available for screening<br />
– Include even more items with custom Formula builder<br />
– Screen for comparable companies <strong>and</strong> financials<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public.<br />
12
RatingsDirect<br />
Aggregated Intelligence<br />
• 20+ years of Ratings history spanning 83,000+ securities across the globe<br />
• <strong>Global</strong>, National <strong>and</strong> regional scale credit ratings on issuer <strong>and</strong> issue level<br />
• Review industry snapshots <strong>and</strong> compare key fundamental credit metrics<br />
• Assess medians, credit ratings migrations <strong>and</strong> outlook distributions by sector <strong>and</strong><br />
other important trends<br />
Credit-adjusted financials<br />
• Access analyst adjusted financial statements for 600+ global banks <strong>and</strong> 2,800+<br />
corporates <strong>and</strong> utilities<br />
• Robust comparison tools, customized filters <strong>and</strong> financial data reports<br />
• Aggregated benchmarks at sector, sub-sector, industry <strong>and</strong> company peer level<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public.<br />
13
Compustat<br />
Unmatched Company History <strong>and</strong> Depth<br />
• 30,339 Active <strong>and</strong> Inactive companies<br />
• Annual Data – History back to 1979<br />
– Historical Annual Data back to 1950<br />
• Quarterly Data – History back to 1979<br />
– Historical Quarterly Data back to 1962<br />
• Daily Market Data back to 1984<br />
• Monthly Market Data back to 1962; Annual<br />
back to 1950<br />
Over 10,000 items available<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public.<br />
14
Compustat – Breadth & Depth<br />
• Income Statement, Balance Sheet <strong>and</strong> Cash Flow<br />
Over<br />
10,000<br />
items<br />
• Industry Specific, Segment, Pension <strong>and</strong> Post-retirement data<br />
• Option, Auditor, Internal Control data<br />
• Quarterly Earnings Report Date, Actual Period End Date, Preliminary <strong>and</strong> Final<br />
update dates<br />
• Filing Date <strong>and</strong> Timest<strong>amp</strong> of filings<br />
• Recent FASB rulings covering Stock based Compensation, Non-controlling<br />
Interest, Pension <strong>and</strong> Fair Value<br />
• Entity Marker, Industry Classifications (GICS, SIC, NAICS)<br />
• Acquisition items<br />
• Market data – issue level data for price, dividend, shares, shares trading<br />
• Economic data<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public.<br />
15
Compustat – Transparency Capabilities<br />
Transparency Data<br />
• Company Level Notes<br />
– Annual <strong>and</strong> Quarterly Period descriptor notes which have an impact to the company as a<br />
whole from the management discussion <strong>and</strong> notes to the financial statement.<br />
– Concentrate on activities that drive company financials: Acquisitions, Discontinued<br />
Operations, Accounting Changes <strong>and</strong> other activities impacting the company<br />
• Item Level Notes<br />
– S&P Financial Analyst detailed notes about the st<strong>and</strong>ardization of the Compustat data<br />
item<br />
• Item Transparency Notes <strong>and</strong> Values<br />
– Actual values from the source (10K/10Q) used to adjust the Compustat data item<br />
– As Reported <strong>and</strong> existing mnemonics labels to tie back to the reported numbers in the<br />
company report<br />
– Focus on high impact items such as Special Items <strong>and</strong> commonly aggregated values<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public.<br />
16
Credit Analytics
Primary<br />
Measure<br />
Coverage<br />
Product<br />
Design<br />
DNA<br />
Inputs<br />
Credit L<strong>and</strong>scape: The Complete Offering<br />
Informed Judgment-Based Quantitative Fundamentals-Based Quantitative Market Signal-Based<br />
Public<br />
Ratings<br />
Scoring Template –<br />
Fundamental<br />
Scoring Model –<br />
Fundamental<br />
Probability of<br />
Default –<br />
Fundamental<br />
Peer<br />
Analysis Model<br />
Market Signals<br />
CDS spreads<br />
Market Signals<br />
Stock Price<br />
S&P <strong>Global</strong><br />
Ratings<br />
Scorecards<br />
CreditModel<br />
PD Model<br />
Fundamentals<br />
Credit Health Panel<br />
Market Derived<br />
Signals (MDS)*<br />
PD Model<br />
Market Signals<br />
• Credit ratings* • Credit Score -<br />
Mapped to “bucketed”<br />
PD percentage<br />
• Credit Score -<br />
Mapped to “bucketed”<br />
PD percentage<br />
• Continuous PD<br />
percentage -<br />
Mapped to credit<br />
score<br />
• Relative score<br />
• Custom score<br />
• Credit Score -<br />
Mapped to PD<br />
percentage<br />
• PD percentage -<br />
Mapped to credit<br />
score<br />
• Analyst, committee<br />
driven & credit<br />
methodology driven<br />
• Segment-focus expert<br />
judgment modeling<br />
• Calibrated on ratings<br />
• Segment-focus<br />
quantitative modeling<br />
• Calibrated on ratings<br />
• Segment-focus<br />
quantitative modeling<br />
• Calibrated on<br />
empirical defaults<br />
• Fundamental-based<br />
scores <strong>and</strong> ratios for<br />
peer group<br />
assessment<br />
• Market derived<br />
signals based on<br />
credit default swaps<br />
• Calibrated on<br />
empirical defaults<br />
• Market derived<br />
signals based on<br />
stock price volatility &<br />
returns<br />
• Calibrated on<br />
empirical defaults<br />
• Medium/Long-term • Medium/Long-term • Medium/Long-term • Medium-term • Medium-term • Short-term<br />
(Point-in-time)<br />
• Short-term<br />
• (Point-in-time)<br />
• <strong>Global</strong> Coverage<br />
• Daily monitored<br />
• 6k companies<br />
• <strong>Global</strong> Coverage<br />
• Scores available on<br />
dem<strong>and</strong><br />
• Industry-specific<br />
• Generic<br />
• <strong>Global</strong> Coverage<br />
• Weekly pre-scored<br />
• 56k+ companies<br />
• Corporates, Banks,<br />
Insurers<br />
• <strong>Global</strong> Coverage<br />
• Weekly pre-scored<br />
• 660k+ companies<br />
• Corporates, Banks,<br />
Real Estate (RE)<br />
• <strong>Global</strong> Coverage<br />
• Daily pre-scored<br />
• 210k companies<br />
• Corporates<br />
• Rated Companies w/<br />
CDS coverage<br />
• Daily pre-scored<br />
• >1k companies<br />
• Listed Companies<br />
• Daily pre-scored<br />
• 60k+ companies<br />
• Corporates, Banks, IB,<br />
Insurers, RE<br />
• Rigorous analysis of<br />
any relevant<br />
qualitative <strong>and</strong><br />
quantitative inputs<br />
• Qualitative <strong>and</strong><br />
quantitative inputs<br />
• Country risk<br />
• Industry risk<br />
• Economic risk<br />
• Sovereign risk<br />
• Financial statements<br />
+ quantifiable inputs<br />
• Country risk<br />
• Industry risk<br />
• Economic risk<br />
• Sovereign risk<br />
• Financial statements<br />
+ quantifiable inputs<br />
• Country risk<br />
• Industry risk<br />
• Economic risk<br />
• Sovereign risk<br />
• Financial Statements<br />
• Operational<br />
• Solvency<br />
• Liquidity<br />
• CDS spreads<br />
• Industry risk<br />
• Economic risk<br />
• Sovereign risk<br />
• Equity, Financials<br />
• Country risk<br />
• Industry risk<br />
• Economic risk<br />
• Sovereign risk<br />
Fundamentals (Financials)<br />
*From S&P <strong>Global</strong> Ratings. S&P <strong>Global</strong> Market Intelligence, as well as its products <strong>and</strong> services are analytically <strong>and</strong> editorially separate <strong>and</strong> independent from other analytical areas at S&P <strong>Global</strong> Ratings.<br />
Market Factors<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public. 18
Corporate Yield<br />
Curves
Market Challenge<br />
• Regulations to put pressure on firms to provide more transparency around liquid vs Illiquid bond<br />
holdings <strong>and</strong> the associated Value, Costs <strong>and</strong> Capital required to participate in the OTC bond markets<br />
• Changes in the market structure have resulted in reduction of sell side price making on inventory <strong>and</strong><br />
impacted the quality <strong>and</strong> quantity of price data. Quotes <strong>and</strong> prices from the buy-side market have now<br />
become more important for Valuation, Benchmarking <strong>and</strong> Research<br />
Identified Market Challenges<br />
S&P Capital IQ Initial Solution<br />
Data<br />
Availability<br />
• Coverage across sectors <strong>and</strong> ratings limited<br />
(no sub-investment grade)<br />
• Incomplete term structures ( >10Yrs)<br />
• Full transparent, global set of Corporate<br />
Benchmark Curves<br />
• Interest Rate Curves – Swap, Government <strong>and</strong><br />
Risk Free<br />
Data<br />
Quality<br />
• Uncertainty over quality of price data for<br />
curve construction<br />
• Stale price data<br />
• Indicative quotes parsed from Credit<br />
Trading Desks<br />
• Data filtering <strong>and</strong> cleansing to eliminate stale data<br />
• Liquid daily quotes ensure validity of daily curves<br />
Transparency<br />
• Inability to view underlying pricing data, bonds<br />
<strong>and</strong> spreads<br />
• Black Box calculations<br />
• Lack of support to query values received<br />
• Transparency provides access to underlying<br />
prices <strong>and</strong> spreads used in the curve construction<br />
• Fully transparent detailed methodology document<br />
• Access to SME’s<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public.<br />
20
What Has S&P <strong>Global</strong> Market Intelligence<br />
Created?<br />
7 Rating B<strong>and</strong>s<br />
AAA – CCC<br />
4 Currencies<br />
US$ € £, A$<br />
11 GICS ®<br />
Sectors*<br />
Sectors<br />
• Consumer Discretionary<br />
• Consumer Staples<br />
• Energy<br />
• Financials<br />
• Healthcare<br />
• Industrials<br />
• Information Technology<br />
• Materials<br />
• Telecommunication<br />
Services<br />
• Utilities<br />
• Real Estate<br />
Indicative<br />
Quotes<br />
+5 Years<br />
History<br />
Transparent<br />
Inputs<br />
*An all Corporate Sectors, Financials <strong>and</strong> Non-Financials curve is also available in $, €, £ <strong>and</strong> A$.<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public.<br />
21
Curve Construction Methodology<br />
Modular Curve Construction And Transparent Calibration<br />
• Calibration based on indicative pricing of credits actively quoted by bond traders<br />
– Each curve represents the best fit for a group of credits specified by the sector <strong>and</strong> rating<br />
– Each curve captures the typical maturity basis observed at a given level of credit quality<br />
• The systems of curves is analytical <strong>and</strong> arbitrage-free by design<br />
• List of indicative input prices <strong>and</strong> spreads’ dispersion is provided for each curve<br />
*S&P <strong>Global</strong> Ratings Credit Ratings.<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public.<br />
22
Pricing an<br />
Intercompany Loan
Our differentiated data <strong>and</strong> analytics offers<br />
unique insights for the companies you cover.<br />
S&P Capital IQ<br />
Comprehensive financials, corporate<br />
hierarchies, ownership, news <strong>and</strong><br />
transcripts for global public <strong>and</strong> private<br />
companies.<br />
Yield Curves<br />
Drill down & view underlying bond<br />
constituents <strong>and</strong> prices used in the<br />
construction of each curve to support<br />
reporting requirements<br />
Compustat ® Data<br />
Easily compare companies with<br />
st<strong>and</strong>ardized, historical data with<br />
annual/interim data back to 1979.<br />
Leverage same data set used by IRS<br />
for their audits<br />
<strong>Global</strong> Financials<br />
Fully transparent <strong>and</strong> auditable<br />
public <strong>and</strong> private company data,<br />
validated <strong>and</strong> st<strong>and</strong>ardized.<br />
Credit Analytics<br />
Utilize credit risk models to objectively<br />
assess credit risk of global<br />
subsidiaries to meet regulatory<br />
requirements<br />
Estimate both st<strong>and</strong>alone credit<br />
scores <strong>and</strong> scores incorporating<br />
parental support.<br />
Permission to reprint or distribute any content from this presentation requires the prior<br />
written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public.<br />
24
Pricing an Intercompany Loan – Company Data<br />
• Comprehensive public company<br />
financials<br />
• <strong>Global</strong> private company<br />
financials<br />
• Traceable back to source<br />
documents<br />
• In depth historical data<br />
• Ability to store proprietary<br />
financials for in-house analysis<br />
Source – S&P Capital IQ 7/2/18<br />
For Illustrative Purposes Only<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public. 25
Pricing an Intercompany Loan – Credit Analysis<br />
• Quantitatively assess credit risk of subsidiaries<br />
• Quickly account for parental support<br />
• Benchmark vs. pubic <strong>and</strong> private peers<br />
• Supporting transparency information for assessment to increase defensibility<br />
• Securely save historical analysis for centralized reporting<br />
Source – S&P Capital IQ 7/2/18<br />
For Illustrative Purposes Only.<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public. 26
Pricing an Intercompany Loan – Corporate Yield<br />
Curves<br />
• Full Term Structure<br />
• AAA-CCC Ratings<br />
• 1mo-30yrs<br />
• Z-spread overlay<br />
• Link from credit scoring to<br />
pricing<br />
• Assist with Arm’s Length<br />
Pricing<br />
• Transparency for defensibility<br />
• Bonds used in curve<br />
construction<br />
• Breakdown of Issuers by Credit<br />
Rating & maturity<br />
• Z-spreads<br />
Source – S&P Capital IQ 7/2/18<br />
For Illustrative Purposes Only. Credit Ratings are prepared by S&P <strong>Global</strong> Ratings.<br />
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written approval of S&P <strong>Global</strong> Market Intelligence. Not for distribution to the public. 27
Summary<br />
• S&P <strong>Global</strong> is committed to providing high quality transparent data <strong>and</strong> analytics to meet<br />
client dem<strong>and</strong>s<br />
• Technology is a key strategy to meet ever changing needs<br />
• Transparency, Transparency, Transparency<br />
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written approval of S&P <strong>Global</strong> Market Intelligence.<br />
Private & Confidential 28
Thank You<br />
Permission to reprint or distribute any content from this presentation requires the prior<br />
written approval of S&P <strong>Global</strong> Market Intelligence.<br />
29
Copyright © 2018 by S&P <strong>Global</strong> Market Intelligence, a division of S&P <strong>Global</strong> Inc. All rights reserved.<br />
These materials have been prepared solely for information purposes based upon information generally available to the public <strong>and</strong> from sources believed to be reliable. No<br />
content (including index data, ratings, credit-related analyses <strong>and</strong> data, research, model, software or other application or output therefrom) or any part thereof (Content) may be<br />
modified, reverse engineered, reproduced or distributed in any form by any means, or stored in a database or retrieval system, without the prior written permission of S&P<br />
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