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PRMIA 8011 (Credit and Counterparty Manager (CCRM) Certificate) Certification Exam is a globally-recognized professional certification program designed for credit and risk management professionals. 8011 exam is developed by the Professional Risk Managers’ International Association (PRMIA), a non-profit organization that promotes the highest standards of education, ethics, and professional excellence in the field of risk management.

PRMIA 8011 Credit and Counterparty Manager (CCRM) Certificate Exam is a comprehensive exam that covers a wide range of topics related to credit and counterparty risk management. 8011 Exam is divided into six sections, each of which covers a specific area of credit and counterparty risk management. The sections include credit risk management, counterparty risk management, credit analysis, credit portfolio management, credit risk modeling, and legal and regulatory issues. 8011 exam is designed to test candidates' knowledge of these topics and their ability to apply this knowledge to real-world situations.

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Achieving the PRMIA 8011 CCRM certificate signifies that an individual has mastered the necessary skills and competencies required to make informed decisions on credit and counterparty risk management. Professionals who successfully complete the exam have better chances of unlocking top management positions in various financial institutions such as banks, insurance companies, pension funds, asset management firms, and regulatory agencies.

PRMIA Credit and Counterparty Manager (CCRM) Certificate Exam Sample Questions (Q243-Q248):

NEW QUESTION # 243
The returns for a stock have a monthly volatilty of 5%. Calculate the volatility of the stock over a two month period, assuming returns between months have an autocorrelation of 0.3.

A. 7.071%
B. 8.062%
C. 5%
D. 10%

Answer: B

Explanation:
The square root of time rule cannot be applied here because the returns across the periods are not independent.
(Recall that the square root of time rule requires returns to be iid, independent and identically distributed.) Here there is a 'autocorrelation' in play, which means one period's returns affect the returns of the other period.
This problem can be solved by combining the variance of the returns from the two consecutive periods in the same way as one would combine the variance of different assets that have a givencorrelation. In such cases we know that:
Variance (A + B) = Variance(A) + Variance(B) + 2*Correlation*StdDev(A)*StdDev(B).
The standard deviation can be calculated by taking the square root of the variance.
Therefore the combined volatility over the two months will be equal to =SQRT((5%