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The Global Association of Risk Professionals (GARP) is known for providing the highest quality education and certification programs in the field of risk management. The Financial Risk and Regulation (FRR) Series is one of the most popular and respected certifications offered by GARP. Financial Risk and Regulation (FRR) Series certification is designed to equip professionals with the knowledge and skills required to navigate the constantly changing financial environment.

GARP 2016-FRR (Financial Risk and Regulation) series exam is a highly specialized certification exam designed for financial risk management professionals. 2016-FRR exam is administered by the Global Association of Risk Professionals (GARP) and is recognized worldwide as a benchmark for risk management professionals. The GARP 2016-FRR exam covers a wide range of topics, including financial risk management, regulatory compliance, and governance.

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We present our GARP 2016-FRR real questions in PDF format. It is beneficial for those applicants who are busy in daily routines. The 2016-FRR PDF QUESTIONS contains all the exam questions which will appear in the real test. You can easily get ready for the examination in a short time by just memorizing 2016-FRR Actual Questions.

GARP Financial Risk and Regulation (FRR) Series Sample Questions (Q136-Q141):

NEW QUESTION # 136
Which of the following statements about parametric and nonparametric methods for calculating Value-at-risk is correct?

A. Both parametric and nonparametric methods make no assumptions about return distributions.
B. Parametric methods make no assumptions about return distributions, and non-parametric methods assume returns are normally distributed.
C. Parametric methods generally assume returns are normally distributed, and non-parametric methods make no assumptions about return distributions.
D. Both parametric and nonparametric methods assume returns are normally distributed.

Answer: C

Explanation:
Value-at-Risk (VaR) can be calculated using either parametric or non-parametric methods. Parametric methods, such as the variance-covariance approach, typically assume that returns follow a normal distribution.
This assumption simplifies the calculations but may not always accurately reflect the true distribution of returns, especially in the presence of skewness and kurtosis.
On the other hand, non-parametric methods, such as historical simulation or Monte Carlo simulation, do not make any assumptions about the distribution of returns. Instead, they rely on actual historical return data or simulated data to estimate the VaR, allowing for more flexibility and potentially more accurate risk assessments in cases where the return distributions deviate significantly from normality.

NEW QUESTION # 137
Which one of the four following statements about a minimal loss threshold in operational loss data collection is incorrect?

A. The operational loss data collection program must include all material losses that are above minimal gross loss threshold.
B. The operational loss data collection program has to capture all losses regardless of their size.
C. A company can have differing operational loss data collection and reporting thresholds for different departments.
D. Setting an operational loss data collection threshold depends on the risk appetite of the firm and regulatory requirements it needs to meet.

Answer: B

Explanation:
* Option A:A company can have differing operational loss data collection and reporting thresholds for different departments.
* Verified and correct. Different departments might have various risk exposures and thresholds based on their specific operational risk profiles.
* Option B:The operational loss data collection program has to capture all losses regardless of their size.
* Incorrect. A minimal loss threshold is usually set to avoid the administrative burden of capturing immaterial losses. Companies typically set thresholds based on risk appetite and regulatory requirements.
* Option C:Setting an operational loss data collection threshold depends on the risk appetite of the firm and regulatory requirements it needs to meet.
* Verified and correct. Thresholds are set based on the company's risk appetite and regulatory expectations to ensure effective and efficient loss data collection.
* Option D:The operational loss data collection program must include all material losses that are above the minimal gross loss threshold.
* Verified and correct. Only losses above the set threshold are required to be captured to maintain a focus on material risks.

NEW QUESTION # 138
Which one of the four following statements about Basis point values is correct?
Basis point value:

A. Is a widely used statistical tool used to measure market risk.
B. Is a risk sensitivity measure used to measure the point spread risk in the banking book.
C. Refers to the change in the value of a fixed income position for a very small change yields.
D. Provides a quick estimate of the sensitivity of the bank's banking book, to increasing volatility in interest
rates.

Answer: C

NEW QUESTION # 139
Which one of the following four statements about regulatory capital for a bank is accurate?

A. Regulatory capital is less than the regulatory capital requirement.
B. Regulatory capital is the lowest level of economic capital the bank should have to meet regulatory
requirement.
C. Regulatory capital is determined by rules imposed by an outside authority, such as a supervisor or
central bank.
D. Regulatory capital reflects the economic tradeoffs of the bank as accurately as the bank can represent
them.

Answer: C

NEW QUESTION # 140
A risk manager is considering how to best quantify option price dynamics using mathematical option pricing models. Which of the following variables would most likely serve as an input in these models?
I. Implicit parameter estimate based on observed market prices
II. Estimates of sensitivity of option prices to parameter changes
III. Theoretical option determination based on assumptions

A. I, III
B. I, II, III
C. II, III
D. II

Answer: B

Explanation:
Mathematical option pricing models typically use the following variables as inputs:
* I. Implicit parameter estimate based on observed market prices: These are derived from market data to infer parameters such as volatility.
* II. Estimates of sensitivity of option prices to parameter changes: These include Greeks like Delta, Gamma, Theta, etc., which measure the sensitivity of the option's price to various factors.
* III. Theoretical option determination based on assumptions: This involves theoretical calculations based on models like Black-Scholes, which use assumptions about market behavior and asset dynamics.
References:The inputs and methodologies for option pricing models are well-documented in financial literature and can be referenced in the "How Finance Works" document.

NEW QUESTION # 141
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