ESG Investing: Financial Decisions in Flux Specialization

Offered byCoursera

ESG Investing: Financial Decisions in Flux Specialization
at
Coursera
Overview

Duration	2 months
Start from	Start Now
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

ESG Investing: Financial Decisions in Flux Specialization
at
Coursera
Highlights

Earn a Certificate upon completion
Skills -Data Science,Green Assets,Risk Management,ESG history,Industry Transformation,UN Sustainable Development Goals,ESG investing strategy,ESG integration,ESG factor analysis,Commodities,Tobacco,Forestry
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.

ESG Investing: Financial Decisions in Flux Specialization
at
Coursera
Course details

Skills you will learn

Bonds Valuation Portfolio management Financial Markets Data Science Marketing Big Data

More about this course

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.