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July 30, 2024
Article · 12 min read
Make informed, ESG-influenced investment decisions. By the end of this specialization, students with basic knowledge of traditional financial products should be able to make more informed investment decisions against an ever-changing, ESG-influenced backdrop.
Instructor: Steven Levine
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(61 reviews)
Recommended experience
Beginner level
Previous investment experience is helpful but not required. Familiarity with fixed-income products and exchange-traded funds (ETFs) is recommended.
(61 reviews)
Recommended experience
Beginner level
Previous investment experience is helpful but not required. Familiarity with fixed-income products and exchange-traded funds (ETFs) is recommended.
Describe how ESG principals originated, and how governing frameworks, strategies, and investment products are evolving in the financial markets.
Integrate ESG factors when conducting fundamental analyses and offer insights about approaches to sustainable portfolio management construction.
Analyze ESG-focused financial products such as green bonds, social bonds, and ESG-related exchange-traded funds (ETFs).
Examine how Big Data can complement fundamental analysis, and differentiate between different forms of deceptive business practices.
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As ESG investing continues to evolve towards a global standard, certain initiatives such as the UN’s sustainable development goals, and the Paris Agreement on climate change, have already spurred significant changes across the financial markets.
As the title of this specialization suggests, financial decisions by investors, as well as capital deployment by companies, organizations, and governments, have been shifting amid increasing attention to environmental, social, and governance-related concerns.
By the end of this specialization, students with basic knowledge of traditional financial products (e.g., stocks, bonds, exchange-traded funds, commodities) should obtain a solid background on how ESG investing principles originated, and how related governing frameworks, analytical strategies, and investment products are evolving in the financial markets, including a proliferation of various fixed-income instruments and thematic ETFs.
Moreover, you'll acquire insights into some of the benefits and drawbacks of Big Data as a complement to fundamental analysis, and how developments in data science, including machine learning, natural language processing (NLP), and sentiment analysis algorithms, may be used for actionable accountability.
You will further be able to detail why ESG investing remains a work in progress and list some anticipated developments for its future.
We look forward to you joining us!
For more information about Interactive Brokers, visit https://ibkr.com
Applied Learning Project
Integrate ESG factors when conducting fundamental analyses, offer insights about approaches to sustainable portfolio management construction, and align ESG factors with organizational frameworks such as the UN's SDGs and SASB frameworks.
Perform evaluations of green assets, including bonds, ESG-themed ETFs, and certain stocks and commodities.
Demonstrate how to analyze asset valuation based on sentiment signals and ESG ratings.
Draw conclusions about ESG disclosures, as well as unresolved issues about accountability and how ESG investing is defined.
Describe how environmental, social and governance principals originated and how related practices have been evolving in the financial markets.
Identify global initiatives that helped drive, and continue to support, the framework for ESG investing.
Differentiate the risks a company may face when analyzing it for “E”, “S”, and “G” factors.
Provide details about certain business sector trends such as those in water and waste management, clean transportation, and energy.
Identify certain market sector changes, including dairy, tobacco, energy, and forest products.
Discuss shifts in certain company strategies aligned with ESG-related concerns.
Explore how to assess the potential impacts on the creditworthiness of certain high yield companies amid heightened attention to ESG-related risks.
Explain the potential role for certain commodities, as industries such as the auto sector undergo transformation.
Describe various characteristics of green assets, including the supply, demand, and performance of green bonds.
Discuss how ESG fund flows have evolved.
Evaluate and compare certain ESG-themed ETFs
Explain the principles and frameworks behind the issuance of different ESG-related fixed income products.
Draw conclusions about how Big Data and artificial intelligence can aid in ESG investing analysis, and describe inherent challenges.
Differentiate between different forms of deceptive business practices, including green washing, social washing, and pink washing.
Detail how certain investors’ interests may be driving increased attention on ESG investing.
Explain why ESG remains a work in progress and list some anticipated developments.
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Time to completion will vary based on your schedule, but we anticipate most learners being able to finish the material in 28 weeks.
Previous investment experience is helpful but not required. Familiarity with stocks, fixed-income products, commodities, and exchange-traded funds (ETFs) is recommended.
Although you can take the courses in this Specialization in any order, we recommend that you follow the suggested sequence of courses in the syllabus.
Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
By the end of this specialization, students with basic knowledge of traditional financial products should be able to:
Describe how environmental, social and governance (ESG) principals originated, and how related governing frameworks, analytical strategies, and investment products are evolving in the financial markets.
Integrate ESG factors when conducting fundamental analyses on companies and offer insights about approaches to sustainable portfolio management construction.
List ways in which different industry sectors’ operations have shifted in the wake of increasing ESG-related concerns.
Analyze ESG-focused financial products such as green bonds, social bonds, and ESG-related exchange-traded funds (ETFs).
Differentiate between different forms of deceptive business practices, including green washing, social washing, and pink washing.
Rationalize the benefits and drawbacks of Big Data as a complement to fundamental analysis, and how developments in data science, including machine learning, natural language processing (NLP) and sentiment analysis algorithms, may be used for actionable accountability.
Provide insights about how millennials and younger investors may be driving increased attention on ESG investing.
Explain why ESG remains a work in progress and list some anticipated developments.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
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