NEW SUSTAINABLE-INVESTING LATEST STUDY MATERIALS | PASS-SURE SUSTAINABLE-INVESTING RELIABLE EXAM DUMPS: SUSTAINABLE INVESTING CERTIFICATE(CFA-SIC) EXAM 100% PASS

New Sustainable-Investing Latest Study Materials | Pass-Sure Sustainable-Investing Reliable Exam Dumps: Sustainable Investing Certificate(CFA-SIC) Exam 100% Pass

New Sustainable-Investing Latest Study Materials | Pass-Sure Sustainable-Investing Reliable Exam Dumps: Sustainable Investing Certificate(CFA-SIC) Exam 100% Pass

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CFA Institute Sustainable Investing Certificate(CFA-SIC) Exam Sample Questions (Q583-Q588):

NEW QUESTION # 583
Which of the following steps in the ESG rating process is most likely the earliest source of the dispersal of opinions between different ESG rating agencies?

  • A. Gathering of a set of data points for the identified ESG indicators
  • B. Identification of ESG factors
  • C. Determination of weighting and scoring methodologies

Answer: B

Explanation:
The earliest source of the dispersal of opinions between different ESG rating agencies is most likely the identification of ESG factors.
Identification of ESG factors (A): Different rating agencies may prioritize and identify different ESG factors based on their proprietary methodologies, resulting in variation from the outset. This initial step influences the entire rating process as it determines which aspects of ESG will be assessed.
Determination of weighting and scoring methodologies (B): Although critical, discrepancies in weighting and scoring methodologies come after the identification of ESG factors. These methodologies vary based on the initial set of factors considered important by each agency.
Gathering of a set of data points for the identified ESG indicators (C): This step involves data collection based on the previously identified factors and methodologies. Differences in data sources and quality further contribute to variation, but the foundational divergence starts with factor identification.
References:
CFA ESG Investing Principles
MSCI ESG Ratings Methodology (June 2022)


NEW QUESTION # 584
ESG factors can affect credit risk at:

  • A. Issuer level only.
  • B. Industry level only.
  • C. Both issuer level and industry level.

Answer: C

Explanation:
ESG factors can impact credit risk at both issuer and industry levels by influencing financial stability, regulatory compliance, and reputational risks.
Issuer level: A company's ESG risk exposure (e.g., environmental violations, governance scandals) can lead to downgrades or higher borrowing costs.
Industry level: Sectors like coal mining, oil & gas, and tobacco face systemic ESG risks (e.g., climate regulations, social opposition).
Credit rating agencies (e.g., Moody's, S&P, Fitch) integrate ESG risks into credit assessments.
References:
S&P Global's ESG & Credit Ratings Framework
Moody's ESG Risk Assessment Reports


NEW QUESTION # 585
In ESG ratings, there is a size bias in favor of:

  • A. Small companies
  • B. Mid-sized companies
  • C. Large companies

Answer: C

Explanation:
Large companiesbenefit from anESG size biasbecause they havegreater resourcesto report ESG data, comply with regulations, and manage sustainability risks.
Smaller companiesstruggle with disclosuredue tolimited budgets and fewer compliance requirements, which often results inlower ESG scores despite strong sustainability efforts.
References:
MSCI ESG Ratings Methodology
CFA Institute ESG Disclosure Challenges Report
Principles for Responsible Investment (PRI) ESG Data Challenges
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NEW QUESTION # 586
Information provided by ESG rating agencies is most likely:

  • A. already reflected in stock prices.
  • B. subject to "group think."
  • C. relatively noisy.

Answer: C

Explanation:
ESG ratings can be noisy due to variations in methodology, data sources, and subjective judgments by rating agencies, leading to inconsistencies across ratings for the same company. (ESGTextBook[PallasCatFin], Chapter 7, Page 364)


NEW QUESTION # 587
Compared to developed markets, a challenge of ESG investing in emerging markets is less:

  • A. Data variability between countries
  • B. Data variability between companies
  • C. Data disclosure

Answer: B

Explanation:
ESG data variability is more pronounced between countries (B) than between companies (C) within the same country. Developed marketshave more standardized ESG disclosure requirements, while emerging marketslack regulatory consistency, making cross-country comparisons difficult.
References:
MSCI ESG Data Challenges in Emerging Markets Report
World Bank Report on ESG Disclosures in Emerging Markets
CFA Institute ESG Disclosure Standardization Analysis
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NEW QUESTION # 588
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