The Global Sustainable Competitiveness Report 2020SolAbility
The Global Sustainable Competitiveness Index evaluates the ability of 180 countries to compete & create wealth for its citizens in global markets without compromising future generations abilty to achieve the same or higher economic, social and environmental wealth levels.
The Global Sustainable Competitiveness Index 2019SolAbility
The true measurment of national competitiveness - a ranking of 180 countries based on 116 quantitative indicators, groupoed in 5 pilars: natural capital, resource intensity, social capital, intellectual captal, and governance.
The rankings are topped by Scandinavian countries, Germany is ranked #15, UK 17, US 34, China 37
Measuring country-level sustainability and the potential for sustainable development based on 109 quantitative & measurable indicators collected by the World Bank, various UN agencies, the IMF, and OECD
What gets measured gets done sustainability implementationSolAbility
A rough guide on how to implement sustainable management into the corporate DNA, based on proven & successful sustainability approach by the makers of 3 DJSI super-sector leaders
The Global Sustainable Competitiveness Report 2020SolAbility
The Global Sustainable Competitiveness Index evaluates the ability of 180 countries to compete & create wealth for its citizens in global markets without compromising future generations abilty to achieve the same or higher economic, social and environmental wealth levels.
The Global Sustainable Competitiveness Index 2019SolAbility
The true measurment of national competitiveness - a ranking of 180 countries based on 116 quantitative indicators, groupoed in 5 pilars: natural capital, resource intensity, social capital, intellectual captal, and governance.
The rankings are topped by Scandinavian countries, Germany is ranked #15, UK 17, US 34, China 37
Measuring country-level sustainability and the potential for sustainable development based on 109 quantitative & measurable indicators collected by the World Bank, various UN agencies, the IMF, and OECD
What gets measured gets done sustainability implementationSolAbility
A rough guide on how to implement sustainable management into the corporate DNA, based on proven & successful sustainability approach by the makers of 3 DJSI super-sector leaders
The Global Sustainable Competitiveness IndexSolAbility
The Global Sustainable Competitiveness Index ranks 176 countries against their capabilities to create and sustain sustainable wealth based on 72 data indicators
The Global Sustainable Competitiveness Index 2013SolaVis
Ranking the World's countries according to their real competitiveness: Sustainable competitiveness is the ability of a country to meet the needs and basic requirements of current generations while sustaining or growing the national and individual wealth into the future without depleting its natural, intellectual and social capital.
CDFIs Stepping Into the Breach: An Impact Evaluation Summary Reportnc_initiative
This report summarizes research undertaken by the Carsey School of Public Policy to evaluate impacts of the Community Development Financial Institutions (CDFI) Fund on CDFIs and of the CDFI industry on the people and communities it serves.
This presentation by Gerhard Scheuenstuhl & Christian Schmitt, RiskLab, was made at the OECD-Risklab-APG Workshop on pension fund regulation and long-term investment held in Amsterdam on 7 April 2014. Discussions focused on: long-term pension investment strategies under risk-based regulation; riskiness and procyclicality in pension asset allocation; and, regulatory challenges for long-term illiquid assets.
For more information please visit http://www.oecd.org/daf/fin/private-pensions/OECD-APG-workshop-pension-fund-regulation-LTI.htm
Tax Reform and Resource Mobilization for HealthHFG Project
This report examines whether improvements in tax revenue performance due to tax administration reform result in increases in available government funds that benefit the health sector and the conditions that facilitate greater allocations toward health spending.
International Journal of Humanities and Social Science Invention (IJHSSI)inventionjournals
International Journal of Humanities and Social Science Invention (IJHSSI) is an international journal intended for professionals and researchers in all fields of Humanities and Social Science. IJHSSI publishes research articles and reviews within the whole field Humanities and Social Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
The Rockefeller Foundation recently concluded a three-year initiative focused on maximizing the number, quality and accessibility of green jobs in the United States. The Sustainable Employment in a Green US Economy (SEGUE) initiative was launched based on a recognition that the twin challenges posed by high unemployment and climate change created an opportunity and imperative to invest in green jobs in the United States and around the world. SEGUE grant-making focused on advancing the knowledge, innovation, standards and institutions necessary to catalyze growth in the green economy and unlock greater demand for green jobs.
This initiative supported several major research efforts, including an independent, developmental evaluation of the SEGUE initiative by Abt Associates, that yielded important insights on what it would take to create more green jobs and a sustainable green economy.
OECD presentation on financing for sustainable development in the COVID-19 era and beyond. Filling the SDG financing gap and aligning resources in support of sustainable and inclusive development.
Effect of Earnings Management on Bankruptcy Predicting Model Evidence from Ni...ijtsrd
This study determined the effect of Earnings Management on Bankruptcy Risk in Nigerian Deposit Money Banks. The specific objectives are to examine the effect of Debt Covenant, bank Size moderates effect of Earnings Management Incentives and bank Age moderates the effect of Earnings Management Incentives on Bankruptcy Risk of listed Deposit Money Banks on Nigerian Stock Exchange. The study employed Ex Post Facto research design and data were collected via anuual reports and accounts of the sampled banks in Nigeria. The formulated hypotheses were analyzed and tested with Regression analysis with the aid of E view version 10 2019 . The result shows that debt covenant has inverse significant effect on bankruptcy risk of listed DMBs in Nigeria, implying that degree of debt covenant violations does not strongly influences bankruptcy risk among Nigeria deposit money banks. Also that firm size moderates the effect of earnings management incentives on bankruptcy risk, meaning that the behaviours of the earnings management incentives on bankruptcy risk among Nigerian DMBs significantly and largely depends on the size of the company. Another finding revealed that firm age has no significant moderating effect on the nexus between the selected earnings management incentives and bankruptcy risk of listed DMBs in Nigeria. The study thereby recommended among others that even though higher debt contracting does not necessarily result to insolvency, management should ensure proper balancing of debt and equity in order to ensure a trade off between risk and return to the shareholders. Emma I. Okoye | Ebele G. Nwobi ""Effect of Earnings Management on Bankruptcy Predicting Model: Evidence from Nigerian Banks"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30187.pdf
Paper Url : https://www.ijtsrd.com/management/accounting-and-finance/30187/effect-of-earnings-management-on-bankruptcy-predicting-model-evidence-from-nigerian-banks/emma-i-okoye
Remittance levels and entrepreneurial activity in post soviet countriesAzer Dilanchiev
ABSTRACT Each individual entrepreneurial action has a more than proportional impact on economic growth, however less
works are dedicated to investigate the impact of the remittance on entrepreneurial activity. This paper examines the impact of
remittance level on entrepreneurial activity in 14 post-soviet countries over the period of 2006-2016. Panel data is employed
to analyze the impact of remittance on entrepreneurial activity. Study found statistically significant impact of remittance on
entrepreneurial activity for the post-Soviet countries in the sample.
Session by Christian Kastrop, Director, Policy Studies Branch, OECD Economics Department
The OECD’s research on Finance and Inclusive Growth has shown that over the past fifty years, credit by banks and other intermediaries to households and businesses has grown three times as fast as economic activity. While greater levels of stock market financing can boost growth, at today’s level of financial development further expansion of bank credit to the private sector is shown to not only slow growth in most OECD countries but also contribute to inequality as better-off households tend to benefit more from financial leverage. Therefore, policy makers should i.a. implement measures to reduce explicit and implicit subsidies to too-big-to-fail financial institutions and reduce the tax bias against equity. To make the financial sector more inclusive and work for people, we must also ensure that companies invest in the real economy. Data analysis of 11 000 of the world’s largest companies has shown that there is a misallocation of capital that needs to be improved in order to foster productivity growth and long-term value creation that can allow for inclusive growth. Promoting competition can support such efforts and also limit unproductive concentration of profits and wealth. New analysis also shows a fragmentation of productivity that needs to be addressed, with a majority of companies sitting in a ‘trough’ of low productivity levels and moderate growth from which it is hard to exit. The current low-interest, low-growth environment makes it also more difficult for pension funds and life insurers to keep their financial promises of providing adequate retirements incomes. These institutional investors are thus driven to pursue higher-risk investment strategies that could ultimately undermine their solvency. This potentially jeopardises the secure retirement especially of the poorest of our citizens.
We develop an ordered logit model to examine the dynamic evolution of the credit rating of Greek Government Bonds under various macroeconomic scenarios
The Global Sustainable Competitiveness Index is the most comprehensive global ranking of the competitiveness of individual nation-economies in the present and into the future
The Global Sustainable Competitiveness IndexSolAbility
The Global Sustainable Competitiveness Index ranks 176 countries against their capabilities to create and sustain sustainable wealth based on 72 data indicators
The Global Sustainable Competitiveness Index 2013SolaVis
Ranking the World's countries according to their real competitiveness: Sustainable competitiveness is the ability of a country to meet the needs and basic requirements of current generations while sustaining or growing the national and individual wealth into the future without depleting its natural, intellectual and social capital.
CDFIs Stepping Into the Breach: An Impact Evaluation Summary Reportnc_initiative
This report summarizes research undertaken by the Carsey School of Public Policy to evaluate impacts of the Community Development Financial Institutions (CDFI) Fund on CDFIs and of the CDFI industry on the people and communities it serves.
This presentation by Gerhard Scheuenstuhl & Christian Schmitt, RiskLab, was made at the OECD-Risklab-APG Workshop on pension fund regulation and long-term investment held in Amsterdam on 7 April 2014. Discussions focused on: long-term pension investment strategies under risk-based regulation; riskiness and procyclicality in pension asset allocation; and, regulatory challenges for long-term illiquid assets.
For more information please visit http://www.oecd.org/daf/fin/private-pensions/OECD-APG-workshop-pension-fund-regulation-LTI.htm
Tax Reform and Resource Mobilization for HealthHFG Project
This report examines whether improvements in tax revenue performance due to tax administration reform result in increases in available government funds that benefit the health sector and the conditions that facilitate greater allocations toward health spending.
International Journal of Humanities and Social Science Invention (IJHSSI)inventionjournals
International Journal of Humanities and Social Science Invention (IJHSSI) is an international journal intended for professionals and researchers in all fields of Humanities and Social Science. IJHSSI publishes research articles and reviews within the whole field Humanities and Social Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
The Rockefeller Foundation recently concluded a three-year initiative focused on maximizing the number, quality and accessibility of green jobs in the United States. The Sustainable Employment in a Green US Economy (SEGUE) initiative was launched based on a recognition that the twin challenges posed by high unemployment and climate change created an opportunity and imperative to invest in green jobs in the United States and around the world. SEGUE grant-making focused on advancing the knowledge, innovation, standards and institutions necessary to catalyze growth in the green economy and unlock greater demand for green jobs.
This initiative supported several major research efforts, including an independent, developmental evaluation of the SEGUE initiative by Abt Associates, that yielded important insights on what it would take to create more green jobs and a sustainable green economy.
OECD presentation on financing for sustainable development in the COVID-19 era and beyond. Filling the SDG financing gap and aligning resources in support of sustainable and inclusive development.
Effect of Earnings Management on Bankruptcy Predicting Model Evidence from Ni...ijtsrd
This study determined the effect of Earnings Management on Bankruptcy Risk in Nigerian Deposit Money Banks. The specific objectives are to examine the effect of Debt Covenant, bank Size moderates effect of Earnings Management Incentives and bank Age moderates the effect of Earnings Management Incentives on Bankruptcy Risk of listed Deposit Money Banks on Nigerian Stock Exchange. The study employed Ex Post Facto research design and data were collected via anuual reports and accounts of the sampled banks in Nigeria. The formulated hypotheses were analyzed and tested with Regression analysis with the aid of E view version 10 2019 . The result shows that debt covenant has inverse significant effect on bankruptcy risk of listed DMBs in Nigeria, implying that degree of debt covenant violations does not strongly influences bankruptcy risk among Nigeria deposit money banks. Also that firm size moderates the effect of earnings management incentives on bankruptcy risk, meaning that the behaviours of the earnings management incentives on bankruptcy risk among Nigerian DMBs significantly and largely depends on the size of the company. Another finding revealed that firm age has no significant moderating effect on the nexus between the selected earnings management incentives and bankruptcy risk of listed DMBs in Nigeria. The study thereby recommended among others that even though higher debt contracting does not necessarily result to insolvency, management should ensure proper balancing of debt and equity in order to ensure a trade off between risk and return to the shareholders. Emma I. Okoye | Ebele G. Nwobi ""Effect of Earnings Management on Bankruptcy Predicting Model: Evidence from Nigerian Banks"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30187.pdf
Paper Url : https://www.ijtsrd.com/management/accounting-and-finance/30187/effect-of-earnings-management-on-bankruptcy-predicting-model-evidence-from-nigerian-banks/emma-i-okoye
Remittance levels and entrepreneurial activity in post soviet countriesAzer Dilanchiev
ABSTRACT Each individual entrepreneurial action has a more than proportional impact on economic growth, however less
works are dedicated to investigate the impact of the remittance on entrepreneurial activity. This paper examines the impact of
remittance level on entrepreneurial activity in 14 post-soviet countries over the period of 2006-2016. Panel data is employed
to analyze the impact of remittance on entrepreneurial activity. Study found statistically significant impact of remittance on
entrepreneurial activity for the post-Soviet countries in the sample.
Session by Christian Kastrop, Director, Policy Studies Branch, OECD Economics Department
The OECD’s research on Finance and Inclusive Growth has shown that over the past fifty years, credit by banks and other intermediaries to households and businesses has grown three times as fast as economic activity. While greater levels of stock market financing can boost growth, at today’s level of financial development further expansion of bank credit to the private sector is shown to not only slow growth in most OECD countries but also contribute to inequality as better-off households tend to benefit more from financial leverage. Therefore, policy makers should i.a. implement measures to reduce explicit and implicit subsidies to too-big-to-fail financial institutions and reduce the tax bias against equity. To make the financial sector more inclusive and work for people, we must also ensure that companies invest in the real economy. Data analysis of 11 000 of the world’s largest companies has shown that there is a misallocation of capital that needs to be improved in order to foster productivity growth and long-term value creation that can allow for inclusive growth. Promoting competition can support such efforts and also limit unproductive concentration of profits and wealth. New analysis also shows a fragmentation of productivity that needs to be addressed, with a majority of companies sitting in a ‘trough’ of low productivity levels and moderate growth from which it is hard to exit. The current low-interest, low-growth environment makes it also more difficult for pension funds and life insurers to keep their financial promises of providing adequate retirements incomes. These institutional investors are thus driven to pursue higher-risk investment strategies that could ultimately undermine their solvency. This potentially jeopardises the secure retirement especially of the poorest of our citizens.
We develop an ordered logit model to examine the dynamic evolution of the credit rating of Greek Government Bonds under various macroeconomic scenarios
The Global Sustainable Competitiveness Index is the most comprehensive global ranking of the competitiveness of individual nation-economies in the present and into the future
Redefining Value, Moving Markets: The Future of Sustainability RatingsSustainable Brands
Allen White, Founder, Global Initiative for Sustainability Ratings (GISR)
With over 100 organizations working on some kind of sustainability performance rating or ranking, how can companies decide which one(s) to focus on, or manage against? What key underlying principles should high-quality assessment criteria follow, and how is 'rating the raters' likely to affect the perceived value of existing ratings and rankings? What else could be done to bring about further clarity and trustworthiness to said assessments?
Introduction to Risk and Efficiency among CDFIs: A Statistical Evaluation usi...nc_initiative
This introductory essay provides general background information on the institutional differences between regulated CDFIs and mainstream financial institutions.
ASSET ALLOCATION AND DIVERSIFICATION STRATEGIES:KEY FACTORS TO CONSIDER - Ste...IFG Network marcus evans
Presentation delivered by Keynote Speaker Steven Skancke, Chief Investment Officer, KEEL POINT ADVISORS at the IFG Wealth Management Forum Spring 2016 held in Scottsdale AZ
Political risk, ESG and market performance - March 2014Damian Karmelich
As the ASX releases new corporate governance guidelines with an increased focus on risk management and environmental, social and governance principles Political Monitor examines the link between ESG, political risk & market performance.
Executive Perspectives on Top Risks for 2017Key Issues B.docxSANSKAR20
Executive Perspectives
on Top Risks for 2017
Key Issues Being Discussed in the
Boardroom and C-Suite
Research Conducted by North Carolina State University’s
ERM Initiative and Protiviti
Executive Summary
i · Protiviti · North Carolina State University ERM Initiative
Introduction
The impact of the Brexit vote in the U.K., increased volatility in commodity markets, polarization
surrounding the 2016 presidential election in the United States, terrorist events, asset bubbles in
China, continued discussion about fair wages and income equality that includes calls for raising
the minimum wage, and ongoing instability in the Middle East and the unprecedented Syrian
immigration in Europe are only some of the drivers of uncertainty affecting the global business
outlook for 2017. Entities in virtually every industry and country are reminded all too frequently
that they operate in what appears to many to be an increasingly risky global landscape. Rapidly
escalating concerns about political and economic stability, data breaches and related cyberattacks,
and continued incidents of terrorism vividly illustrate the reality that organizations of all types face
risks that can suddenly propel them into global headlines, creating complex enterprisewide risk
events that threaten brand, reputation, and, for some, their very survival. Boards of directors and
executive management teams cannot afford to manage risks casually on a reactive basis, especially
in light of the rapid pace of disruptive innovation and technological developments in a digital world.
Protiviti and North Carolina State University’s ERM
Initiative are pleased to provide this executive summary
that highlights key findings in our full report focusing
on the top risks currently on the minds of global boards
of directors and executives. This executive summary
highlights results from our fifth annual risk survey of
directors and executives to obtain their views on the
extent to which a broad collection of risks are likely to
affect their organizations over the next year.
Our respondent group, comprised primarily of board
members and C-suite executives, provided their
perspectives about the potential impact in 2017 of 30
specific risks across these three dimensions:1
• Macroeconomic risks likely to affect their organi-
zation’s growth opportunities
• Strategic risks the organization faces that may
affect the validity of its strategy for pursuing
growth opportunities
• Operational risks that might affect key operations
of the organization in executing its strategy
This executive summary provides a brief description
of our methodology and an overview of the overall
risk concerns for 2017, followed by a review of the
results by type of executive position. It concludes
with a discussion of questions executives may want
to consider as they look to strengthen their overall
risk management processes.
Our full report (av ...
Peer-to-peer lending companies provide online platforms that can quickly pair borrowers seeking a loan with investors willing to fund the loan at an attractive rate. Since these loans are unsecured and companies creating the market generally do not invest their own capital, neither borrowers nor companies assume any risk. Entire credit risk is born by investors. Literature shows that credit risk depends upon borrower characteristics, loan terms and regional macroeconomic factors. To help investors identify unsecured loans likely to be fully paid, a machine learning algorithm was developed to forecast probability of full payment and probability of default.
Training and input data consisted of historic loans’ data from Lending Club and state level macroeconomic data from government and organizational sources. A logistic regression was
shown to provide optimal results, effectively sequestering high risk loans.
Team Members:
Archange Giscard Destine
ad1373@georgetown.edu
linkedin.com/in/agdestine
Steven L. Lerner
sll93@georgetown.edu
linkedin.com/in/sllerner
Erblin Mehmetaj
em1109@georgetown.edu
www.linkedin.com/in/erblinmehmetaj
Hetal Shah
hrs41@georgetown.edu
linkedin.com/in/hetalshah
Finance is the lifeblood and lifeline of any business entity either commercial or non-commercial. The
Survival, Stability and Sustainability of a firm is highly associated with its financial wellness. It can be observed through its ability to pay(re) short-term as well as long term liabilities, meeting the regular financial obligations, to increase the value of firm and ability to generate profit. Financial analysis, evaluation, and assessment help in determines the financial position and financial strength of a firm. Among the plenty of methods and tolls available for financial performance, ratio analysis is more useful and meaningful. These ratios make it possible to analyze the evolution of the financial situation of a firm (trend analysis), cross-sectional analysis and comparative analysis.
Financial Risk, Capital Adequacy and Liquidity Performance of Deposit Money B...ijtsrd
The objective of this study was to examine the effect of financial risk on liquidity performance of Deposit Money Banks DMBs in Nigeria, with capital adequacy as a moderator. The study specifically examined the mediating role of capital adequacy on the effect of operational risk, market risk and credit risk on liquidity performance. The study adopted the ex post facto research design as the goal was not to manipulate any variable but rather to establish effect and mediation. The population comprised listed Deposit Money Banks and the sample restricted to a purposive sample of ten 10 banks whose annual reports were accessible for the period of 13 years from 2010 2022 which was the time scope of this study. The data were analysed using structural equation model. The study found that capital adequacy does not significantly mediate the effect of operational, market and credit risks on liquidity performance. Based on these findings, the study recommended that Banks need to create a capital adequacy mechanism necessary for hedging against operating risks inherent in the financial market Banks need to develop a capital adequacy framework to guide them to optimally disclose their market risks, enhance the quality of their disclosure practices, improve the quality of their financial reports and more efficiently manage their liquidity The Nigerian Central Bank need to develop a statutory requirement that will demand a certain level of capital adequacy by the banks before granting a certain level of credit. Odinaka Frank Igbojindu | Gloria Ogochukwu Okafor | Chinedu Jonathan Ndubuisi "Financial Risk, Capital Adequacy and Liquidity Performance of Deposit Money Banks in Nigeria" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd61356.pdf Paper Url: https://www.ijtsrd.com/management/accounting-and-finance/61356/financial-risk-capital-adequacy-and-liquidity-performance-of-deposit-money-banks-in-nigeria/odinaka-frank-igbojindu
Similar to Country credit ratings and sustainability: credit rating agencies are 20 years behind (20)
Global Climate Tax: Feasibility EvaluationSolAbility
The most effective way to reduce GHGs to Zero - a global climate tax. Starting at U$50 per ton of CO2 equivalent , increasing by U$50 every year. 50% of tax revenues are redistributed in cash to each individual, the other 50% used to buld a renewable energy infrastructure
The Sustainable Competitiveness Index 2015SolAbility
The sustainable competitiveness index compares countries based on the availability of natural capital, their capability in resource management, social cohesion, intellectual property, and governance.
The ratings can be used as alternative to the GDP or sovereign bond ratings
Climate Change, Energy, & Businesses - Quantifying the Financial Implications...SolAbility
Climate change is a reality. The political failure to direct the global energy infrastructure to an alternative system away from fossil fuels will lad to significantly higher energy costs to businesses.
This report analysis the cost impacts of energy scarcity and the increasing frequency and ferocity of climate-change-induced extreme weather events on businesses.
The Global Sustainable Competitiveness Index ranks the World's nations according to their current level of sustainable competitiveness and prospect for achieving sustainable development based on data monitored and collected by the World Bank, the IMF, and various UN agencies
Sustainability & stock returns: the correlationSolAbility
The price returns of Korea’s most sustainable companies since 2007 proof beyond doubt that sustainable investment is profitable, given the right research approach.
The “SolA Sustainable 50” has consistently outperformed the markets every year since inception in 2007 by margins that exclude statistical coincidence. Interestingly, the portfolio also outperformed an actively managed fund based on the SolAbility ESG research, indicating that long-term sustainable investment is a safer and more profitable investment approach or can be more in times of market volatility. The portfolio has also outperformed ESG benchmarks ( DJSI Korea and KRX SRI), indicating that sustainable investment returns depend on the quality of the research and methodology.
ESG research and corporate sustainability assessment proof the correlation between sustainable management integration and superior financial performance
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
3. The aging super-power
P a g e | 3
Table of Contents
1 INTRODUCTION: SOVEREIGN BOND RATINGS & SUSTAINABILITY............5
2 A VIRTUAL RATING COMPARISON............................................................6
2.1 RATING CRITERIA: SOVEREIGN BOND RATINGS VS. GSCI...................................6
2.1.1 SOVEREIGN BOND RATINGS.......................................................................... 6
2.1.2 MODEL COMPARISON ................................................................................. 7
2.1.3 CRITERIA COMPARISON: CONVENTIONAL RATINGS VS. SUSTAINABILITY RATING.. 8
2.1.4 EMPIRIC CORRELATIONS: CONVENTIONAL & SUSTAINABLE RATINGS, GDP....... 9
2.2 SIGNIFICANT DIFFERENCES IN RATINGS..........................................................10
2.3 SUSTAINABILITY-ADJUSTED RATING DIFFERENCES WORLD MAP...........................11
3 CONCLUSIONS ........................................................................................12
4 COUNTRY LIST: SOVEREIGN BONDS VS. SUSTAINABLE ADJUSTED
RATINGS ........................................................................................................13
4. The aging super-power
P a g e | 4
Foreword
The financial industry has started to integrate ESG measurements 20 years
ago. By now, ESG integration into investment risk/opportunity evaluation
is mainstream, at least to a basic extent.
The credit rating industry – dominated by only 3 companies worldwide,
Fitch, Moody’s and Standard & Poor’s – is just waking up to these
challenges. While ESG factors are being integrated to a small (insufficient)
extend into certain investment class ratings, sovereign bonds ratings are
calculated without any sustainability considerations. Credit agencies are
20 years behind the financial industry.
The lack of ESG integration has two major implications: sovereign ratings
do not completely reflected the full extent of investment risks. And
second, the interest rates derived from sovereign ratings for individual
countries are potentially to low – or too high.
This research report is based on a virtual sustainability-adjusted sovereign
bond rating built on the Global Sustainable Competitiveness Index. The
comparison between current sovereign bond ratings and sustainable
adjusted rationings the deficits of current sovereign bond rating
methodologies.
We hope you find this information helpful.
5. The aging super-power
P a g e | 5
1 Introduction: Sovereign Bond Ratings &
Sustainability
Credit rating define the interest a country has to pay on loans, state bonds – and
therefore have a huge impact on the investment freedom as well as capital cost
of a country. It is therefore a very important parameter for every economy – it
defines the level of capital cost for new investments, whatever the nature of
those investment may be. The credit rating also affects the risks an investor is
willing to take in overseas investments. Sovereign risk ratings are calculated by a
number of rating agencies, most notable by the “three sisters”: Moody’s S&P,
and Fitch. The ratings of these three therefore have an immense impact on the
cost of capital of a specific country.
Sovereign risks are calculated based on a mix of economic, political and
financial risks – i.e. current risks that, like GDP calculations, do not take into
account the framework that enables and defines the current situation, the
fundament of what the rating is trying to reflect. Credit ratings do not look at or
consider the wider environment – the ability and motivation of the workforce,
the health and well-being and the social fabric of a society, the physical
environment (natural and man-made) that have caused the current situation.
Credit ratings describe symptoms, they do not look at the root causes. It is
therefore questionable whether credit ratings truly reflect investor risks of
investing in a specific country.
The GSCI on the other hand is based on quantitative (i.e. subjective) indicators.
It takes into account not only the financial value of the economic output, but
also the state of the country in terms of natural capital, resource intensity,
education and innovation level, and governance performance indicators. The
GSCI measures the performance of what makes the outcome.
The GSCI is calculated based on 111 measurable quantitative indicators,
normalised by relevant measurements, evaluating both the latest performance
as well as the performance (trend) over time of the indicator. For further
information on the GSCI and its methodology, please refer to the Index website.
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2 A virtual Rating Comparison
In order to test sovereign bond ratings against sustainability, average country
ratings are compared to a virtual sustainability-adjusted credit rating based on
the Global Sustainable Competitiveness Index (GSCI).
For comparability, the scores of the GSCI have been converted to ratings
equivalent to credit ratings - a sustainable credit rating. The sustainability-
adjusted credit rating consist of the average conventional rating and the GSCI
rating, each weighted at 50%.
The generated grades are compared to the average credit rating of Moody’s,
S&P, and Fitch.
2.1 Rating criteria: sovereign bond ratings vs. GSCI
2.1.1 Sovereign Bond ratings
The sovereign bond rating market is dominated by just three different providers,
Moody’s, S&P, and Fitch. All three of them use different methodologies, but very
similar structures. They are based on similar rating frameworks and criteria,
namely on 4 key pillars:
Governance
Finances & balance sheets
Economic output development
The political and regulatory framework, including event risks
The naming of those pillars differs, and individual criteria also differ. However, all
highly weight monetary numbers, in particular GDP-related numbers,
government finance numbers, and market numbers. The non-quantitative
criteria are less clear defined in publicly available documentation. Some are
based on external evaluation (such as the World Bank Government Efficiency
indicators or the WEF Competitiveness Index. The latter is itself a perception
survey), and others on qualitative agency staff evaluation – a qualitative
evaluation of frameworks, numbers, developments and expectations.
Qualitative indicators based on a value-free framework that can and is
consistently applied can represent a useful reflection of performance. The
thinking behind the framework needs to be completely value free, free of
thinking based on economic beliefs or expectations. However, qualitative
criteria require a definition of “good” and “bad”, and therefore cannot
guarantee absolute objectiveness. However, some cases of rating adjustments
following political changes or decisions in the past suggest that the definitions of
“good” and “bad” applied by the three large rating agencies are not
completely free of ideological thinking.
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Sovereign bond ratings structure:
Convectional credit ratings are based on 4 pillars. All consist of qualitative as well
as qualitative criteria and indicators.
Pillar Key measurements
Governance, Institutions Quantitative, payment track record
Qualitative, extern & internal indicators
Economic development Quantitative output numbers & development (GDP)
Qualitative, internal & external indicators
Finance & balance sheets Quantitative, debt and payments
Qualitative,
Policy framework & event risks Quantitative, bank sector, liquidity
Qualitative, political environment & risks
2.1.2 Model comparison
The Global Competitiveness Model is based on 5 pillars, aiming to cover &
evaluate performance of all elements that make economic development (the
root). Conventional ratings are based on 4 areas of results. Conventional credit
ratings rate the outcome (the end-result) – the GSCI the root cause of the
outcome.
For more information on the Global Sustainable Competitiveness Methodology,
please refer to the index website.
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2.1.3 Criteria comparison: conventional ratings vs. sustainability rating
The criteria comparison is based on a the country-level extension of the ESG
(Environment, Societal, Governance) model to an ESGE (Environment, Society,
Governance, Economy) model
Under the assumption that a country-evaluation and credit rating should
integrate sustainability, i.e. the non-financial performance that makes or
prevents financial performance, then the coverage of conventional sovereign
bond ratings only cover a small part of the full performance.
Sovereign ratings Sustainable ratings
Pillar Issue Coverage Criteria Coverage Criteria
Environment Renewable resources - Water, land
Non-renewable resources - Commodities
Biodiversity - Forest, fertility, species
Resource efficiency - Resource efficiency
Pollution - Pollution levels (air, soil)
Climate change
vulnerability
- Emissions, exposure to risks
Social Health - Availability, cost
Equality
Wealth inequality "Might
affect rating"
Gender, income, wealth
Communities - Public services,
Security "Might affect rating" Crime statistics
Violence Violent conflicts
Violent conflicts, human
rights
Governance Institutions Governance efficiency Governance efficiency
Fiscal Spending, debt, … Debts
Allocation balance "Might affect rating"
Balance of gov. budget
allocation
Budget balance Spending discipline
Spending balance related
to economic phase
Corruption External indexes External indexes
Infrastructure Indexes
Investments, coverage,
quality
Freedom "Might affect rating"
Press freedom, Human
rights
Economy Education - Performance indicators
Innovation - Performance indicators
Economic development Sector balance
Sector balance, business
developments
Financial markets
Banking sector, others
"Might affect rating"
Exposure to financial
market risks, bubbles
GDP performance
GDP absolute, per
capita, trend, …
GNI absolute, per capita,
trend
Not covered Covered
Hardly covered Partly covered
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2.1.4 Empiric Correlations: conventional & sustainable ratings, GDP
Correlations: GSCI and Sovereign Bond ratings
While there seems to be a slight
initial correlation between credit
ratings and GSCI ratings, (higher
sustainability equals positive
credit rating) on first sight, there
are too many exceptions to be
considered correlating. The
empiric correlation is 25%. For
some countries there is a fairly
visible correlation – e.g. the
wealth nations of Scandinavia,
where credit ratings correlate
strongly with GSCI ratings.
However, for too many
economies, in particular of
developed countries, high credit
rating is not reflected in high
sustainable competitiveness
score. The lack of correlation strongly suggest that sovereign bond ratings do not
fully reflect risks and opportunities of and associated with individual nation-
economy, in particular long-term risks.
Correlations to GDP performance
Correlation analysis shows that
conventional ratings are to
nearly 50% tied to GDP
performance – not surprising
given the weight allocated to
GDP-based indicators in
sovereign bond ratings. GSCI
ratings on the other hand show
a very limited correlation to GDP
levels.
The high correlation to GDP
levels of conventional sovereign
bond ratings indicate that
sovereign bond ratings do not
reflect the full extent of
opportunities and risks
associated with individual
country performance. It also means that poor countries generally receive lower
ratings: poor countries have to pay higher interest rates than rich countries.
GSCI vs sovereign credit
ratings show no
correlation, indicating
insufficient coverage of
sustainability risks in
current methodologies
Conventional ratings show
strong correlation to GDP:
poor countries have lower
ratings
R² = 0.0169
R² = 0.4846
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
100,000
5 10 15 20 25 30
GDP correlations
GSCI Conventional
Linear (GSCI) Linear (Conventional)
R² = 0.258
25
30
35
40
45
50
55
60
65
5 10 15 20 25 30
Sustainablecompetitiveness
Credit rating
Sustainable competitiveness vs. credit ratings
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2.2 Significant differences in ratings
Some countries would see significant credit ratings upgrades, other downgrades
when comparing the current credit rating with a fictional credit rating based on
the Sustainable Competitiveness Index. The GSCI has not been developed to
reflect credit and default risks, and therefore cannot be a direct comparison.
We therefore have created a virtual sustainability-adjusted sovereign bond
rating. The sustainability adjusted rating is equally based on the GSCI rating and
the average of Fitch, Moody’s, and S&P.
The US and Australia would be significantly downgraded, while countries that
have low credit ratings mostly due to political reasons (Greece, Argentina),
would receive more favourable ratings. A significant number of lesser
developed, poorer countries (measured in GDP) would receive higher ratings
due to future potential in non-tangible aspects.
Rating differences for selected countries:
Country Credit
rating
(average of
Moody's, S&P;
Fitch)
GSCI rating Level
Difference
Sustainability-
adjusted
rating
Level
difference
Australia AAA A+ -4 AA -2
Bolivia BB− A− 6 BBB− 3
Brazil BB A+ 7 BBB+ 4
Canada AAA AA+ -1 AAA 0
China A+ AA− 1 AA− 1
Ethiopia B BBB+ 7 BB+ 4
France AA AAA 2 AA+ 1
Germany AAA AAA 0 AAA 0
India BBB− BB− -3 BB+ -1
Iraq B− 0 -7 CC -4
Japan A+ AAA 4 AA 2
Kuwait AA BB -9 A− -4
Latvia A− AAA 6 AA− 3
Morocco BBB− BBB+ 3 BBB 2
Pakistan B B− -1 B− -1
Poland A− AA+ 5 AA− 3
Saudi Arabia A+ BB+ -6 BBB+ -3
United Kingdom AA AAA 2 AA+ 1
United States AAA A+ -4 AA -2
Vietnam BB− AAA 13 A− 7
Please refer to the tables for all county rating comparisons.
Current, sustainability and sustainability-adjusted ratings of selected countries
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2.3 Sustainability-adjusted rating differences world map
However, what is most interesting is the World map of upgrades and downgrades
of individual countries based on the virtual sustainability-adjusted credit rating
(see World map below): oil-rich Middle Eastern countries (Saudi Arabia, Kuwait,
etc.) would be significantly downgraded several levels, while most countries in
South America, Eastern Europe and Central Africa would receive a credit rating
upgrade.
The Global Map – which countries would benefit from sustainability-adjusted
credit ratings, and which countries would have to pay higher interest rates
Differences between current credit ratings and sustainability-adjusted credit
ratings: green indicates higher rating (i.e. lower interest rates), red lower rating
(i.e. higher interest rates); blue indicates no difference between current rating
and sustainability-adjusted credit rating
The World map shows a distinctive trend – mostly countries whose current
financial wealth is based to a significant part on the exploration of non-
renewable resources have a lower rating, i.e. would have to pay higher interest
rates on their debts, in particular the oil-rich nations in the Middle East. Eastern
Europe as well as South America (except Chile) would do better under
sustainability-adjusted credit ratings and occur lower interest rates. A number of
African countries, mainly in sub-Saharan tropical Africa, would also see their
credit rating increase.
Differences of current
conventional ratings and
sustainability-adjusted
ratings: red is lower, green
higher rating; blue is
neutral
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3 Conclusions
Sovereign bond ratings define the interest rates a country has to pay on credits
and debt. The ratings therefore have a high impact on country finances.
In the asset management world, it is now near-standard to integrate some form
of “ESG” into investment risk/opportunity evaluation. The major credit rating
agencies have only recently started to take steps in integrating ESG
considerations in their ratings, namely for project risk evaluation and corporate
ratings. However, the limited availability of information suggest that these
processes and frameworks are, at least for the time being, limited, and applied
case-by-case rather than systematically: it seems the credit rating agencies are
lagging behind the financial industry. By roughly 20 years.
Sovereign bond ratings, which define interest rates that countries have to pay on
credits, loans and debt – still do not integrate ESG considerations, because
“social and environmental aspects are considered too weak” in influencing
government capability and willingness to meet financial demands.
The comparison of current sovereign bond ratings and a sustainability-adjusted
county ratings shows significant differences. Countries whose wealth is based on
exploitation of natural resources would receive a significant lower credit rating.
May developing nations would receive higher ratings (and therefor lower interest
rates) based on their development potential.
Sovereign bond ratings show a high correlation to GDP/capita levels.
Poor countries have to pay higher interest rates than rich countries.
Sovereign bond ratings do not reflect the non-tangible risks and
opportunities associated with nation economies
Sustainable adjusted ratings and conventional ratings show significant
difference.: Under a sustainability-adjusted credit rating, countries with
high reliance on exploitation of natural resources would be rated lower,
while poor country with a healthy fundament (biodiversity, education,
governance) would receive higher ratings.
The economic output is not produced in a bubble. It is the result of thousands of
little pieces in a puzzle – including “intangibles” - that credit rating agencies do
not consider in their evaluation. Credit ratings have to reflect the underlying
factors that define the future development and capability of a country to
generate and sustain wealth. It is high time that credit ratings include
sustainability in their risk calculations.
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4 Country list: sovereign bonds vs. sustainable
adjusted ratings
Country Credit rating
(average of
Moody's, S&P; Fitch)
Sustainability-
adjusted
rating
Level difference
Albania B+ BBB− 4
Andorra BBB A+ 4
Angola B BB− 2
Argentina B BB+ 4
Armenia B+ BB 2
Aruba BBB CCC+ -8
Australia AAA AA -2
Austria AA+ AAA 1
Azerbaijan BB+ BB -1
Bahamas BBB− BB+ -1
Bahrain BB BB− -1
Bangladesh BB− B+ -1
Barbados CCC CCC 0
Belarus B− BBB− 6
Belgium AA− AA 1
Belize B− BB− 3
Bolivia BB− BBB− 3
Bosnia and Herzegovina B BB+ 5
Botswana A BBB− -4
Brazil BB BBB+ 4
Bulgaria BBB− BBB+ 2
Cambodia B B+ 1
Cameroon B BB 3
Canada AAA AAA 0
Cape Verde B B+ 1
Chile A+ A -1
China A+ AA− 1
Colombia BBB A− 2
Congo B− B− 1
Costa Rica BB BBB 3
Croatia BB A 6
Cuba CCC B+ 4
Cyprus BB BB+ 1
Czech Republic A+ AA 2
Denmark AAA AAA 0
Dominican Republic BB− BB 1
Ecuador B BB− 3
Egypt B B 1
El Salvador CCC+ B 2
Estonia A+ AA 2
Ethiopia B BB+ 4
European Union AA A+ -2
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Country Credit rating
(average of
Moody's, S&P; Fitch)
Sustainability-
adjusted
rating
Level difference
Fiji BB− BB− 1
Finland AA+ AAA 1
France AA AA+ 1
Gabon B BB− 3
Georgia BB BBB 4
Germany AAA AAA 0
Ghana B BB 4
Greece CCC+ BB+ 6
Guatemala BB+ BB -1
Honduras B+ B+ 0
Hong Kong AA+ A+ -3
Hungary BBB− A− 3
Iceland A− AA− 3
India BBB− BB+ -1
Indonesia BBB− BBB 1
Iraq B− CC -4
Ireland A AA 3
Isle of Man AA AA+ 1
Israel A+ A+ 0
Italy BBB A 3
Ivory Coast BB− BBB 5
Jamaica B B− -1
Japan A+ AA 2
Jordan B+ BB− 1
Kazakhstan BBB BBB+ 2
Kenya B+ BB+ 3
Kuwait AA A− -4
Latvia A− AA− 3
Lebanon B− BB 4
Lesotho B+ BB+ 3
Liechtenstein AAA AA− -3
Lithuania A− A− 0
Luxembourg AAA AA− -3
Macedonia BB BBB− 2
Malaysia A− A− 0
Malta A A− -1
Mauritius BBB+ BBB+ 0
Mexico BBB+ BBB+ 0
Moldova B− BB 4
Mongolia B− BB 5
Montenegro B+ BB+ 3
Morocco BBB− BBB 2
Mozambique CCC− BB− 6
Namibia BBB− BB+ -1
Netherlands AAA AA+ -1
New Zealand AA+ AA+ 0
Nicaragua B+ BB 2
Nigeria B BB− 2
Norway AAA AAA 0
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Country Credit rating
(average of
Moody's, S&P; Fitch)
Sustainability-
adjusted
rating
Level difference
Oman BBB− BBB− 0
Pakistan B B− -1
Panama BBB BBB 0
Papua New Guinea B+ B+ 1
Paraguay BB BBB+ 4
Peru BBB+ A 2
Philippines BBB BB+ -2
Poland A− AA− 3
Portugal BB+ A− 4
Puerto Rico D 0 -1
Qatar AA− A− -3
Republic of the Congo CCC+ B+ 4
Romania BBB− A 4
Russia BB+ BBB+ 3
Rwanda B B+ 1
San Marino BBB− A+ 5
Saudi Arabia A+ BBB+ -3
Senegal BB− BB− 1
Serbia BB− BBB 4
Seychelles BB− CCC+ -4
Singapore AAA AA− -3
Slovakia A+ AA 2
Slovenia A− AA− 3
South Africa BB+ BB -1
South Korea AA A+ -2
Spain BBB+ A− 1
Sri Lanka B+ BB− 1
St Vincent and the Grenadines B− B+ 2
Suriname B BB 3
Sweden AAA AAA 0
Switzerland AAA AAA 0
Taiwan AA− BBB− -6
Thailand BBB+ BBB− -2
Trinidad and Tobago BBB BB+ -2
Tunisia B+ BB+ 3
Turkey BB+ BBB− 1
Uganda B B 0
Ukraine CCC+ BB− 4
United Arab Emirates AA A− -4
United Kingdom AA AA+ 1
United States AAA AA -2
Uruguay BBB A+ 4
Venezuela CCC− BBB− 10
Vietnam BB− A− 7
Zambia B BBB+ 7
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www.solability.com
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The Sustainable Competitiveness Index
6th
edition
2017
www.solability.com
contact@solability.com