PRMIA Exam 8002 PRM Certification - Exam II: Mathematical Foundations of Risk Measurement Version: 6.0 [ Total Questions: 132 ]

Similar documents
Market Risk Analysis Volume I

Diploma Part 2. Quantitative Methods. Examiner s Suggested Answers

Mathematics of Finance Final Preparation December 19. To be thoroughly prepared for the final exam, you should

KARACHI UNIVERSITY BUSINESS SCHOOL UNIVERSITY OF KARACHI BS (BBA) VI

Subject CS1 Actuarial Statistics 1 Core Principles. Syllabus. for the 2019 exams. 1 June 2018

**BEGINNING OF EXAMINATION** A random sample of five observations from a population is:

Contents. An Overview of Statistical Applications CHAPTER 1. Contents (ix) Preface... (vii)

Quantitative Methods

M339W/389W Financial Mathematics for Actuarial Applications University of Texas at Austin Sample In-Term Exam I Instructor: Milica Čudina


Financial Economics. Runs Test

7. For the table that follows, answer the following questions: x y 1-1/4 2-1/2 3-3/4 4

Final Exam Suggested Solutions

Diploma in Business Administration Part 2. Quantitative Methods. Examiner s Suggested Answers

Quantitative Methods

2017 IAA EDUCATION SYLLABUS

Math 546 Homework Problems. Due Wednesday, January 25. This homework has two types of problems.

From Discrete Time to Continuous Time Modeling

Chapter 5 Discrete Probability Distributions. Random Variables Discrete Probability Distributions Expected Value and Variance

1.15 (5) a b c d e. ?? (5) a b c d e. ?? (5) a b c d e. ?? (5) a b c d e FOR GRADER S USE ONLY: DEF T/F ?? M.C.

Booth School of Business, University of Chicago Business 41202, Spring Quarter 2016, Mr. Ruey S. Tsay. Solutions to Midterm

Risk management. Introduction to the modeling of assets. Christian Groll

Sequences, Series, and Probability Part I

The University of Chicago, Booth School of Business Business 41202, Spring Quarter 2010, Mr. Ruey S. Tsay Solutions to Final Exam

INSTITUTE AND FACULTY OF ACTUARIES. Curriculum 2019 SPECIMEN EXAMINATION

Chapter 8 Sequences, Series, and the Binomial Theorem

1. What is Implied Volatility?

MAFS Computational Methods for Pricing Structured Products

King s College London

25 Increasing and Decreasing Functions

MATH6911: Numerical Methods in Finance. Final exam Time: 2:00pm - 5:00pm, April 11, Student Name (print): Student Signature: Student ID:

FV N = PV (1+ r) N. FV N = PVe rs * N 2011 ELAN GUIDES 3. The Future Value of a Single Cash Flow. The Present Value of a Single Cash Flow

Chapter 7 Notes. Random Variables and Probability Distributions

Notes: This is a closed book and closed notes exam. The maximal score on this exam is 100 points. Time: 75 minutes

Module 2 caa-global.org

Version A. Problem 1. Let X be the continuous random variable defined by the following pdf: 1 x/2 when 0 x 2, f(x) = 0 otherwise.

Expected Value and Variance

Tests for One Variance

P1 Performance Operations

Manager Comparison Report June 28, Report Created on: July 25, 2013

The Pennsylvania State University. The Graduate School. Department of Industrial Engineering AMERICAN-ASIAN OPTION PRICING BASED ON MONTE CARLO

An investment s return is your reward for investing. An investment s risk is the uncertainty of what will happen with your investment dollar.

Appendix A (Pornprasertmanit & Little, in press) Mathematical Proof

Contents Part I Descriptive Statistics 1 Introduction and Framework Population, Sample, and Observations Variables Quali

Monte Carlo Methods for Uncertainty Quantification

1/2 2. Mean & variance. Mean & standard deviation

Keywords Akiake Information criterion, Automobile, Bonus-Malus, Exponential family, Linear regression, Residuals, Scaled deviance. I.

MAC Learning Objectives. Learning Objectives (Cont.)

M339W/M389W Financial Mathematics for Actuarial Applications University of Texas at Austin In-Term Exam I Instructor: Milica Čudina

STARRY GOLD ACADEMY , , Page 1

M249 Diagnostic Quiz

MATH4143: Scientific Computations for Finance Applications Final exam Time: 9:00 am - 12:00 noon, April 18, Student Name (print):

Content Added to the Updated IAA Education Syllabus

PhD Qualifier Examination

. 13. The maximum error (margin of error) of the estimate for μ (based on known σ) is:

(AA12) QUANTITATIVE METHODS FOR BUSINESS

Common Core Algebra L clone 4 review R Final Exam

(iii) Under equal cluster sampling, show that ( ) notations. (d) Attempt any four of the following:

FE670 Algorithmic Trading Strategies. Stevens Institute of Technology

Probability & Statistics

SYLLABUS AND SAMPLE QUESTIONS FOR MSQE (Program Code: MQEK and MQED) Syllabus for PEA (Mathematics), 2013

UNIT 4 MATHEMATICAL METHODS

CFE: Level 1 Exam Sample Questions

CHAPTER III METHODOLOGY

The University of Chicago, Booth School of Business Business 41202, Spring Quarter 2009, Mr. Ruey S. Tsay. Solutions to Final Exam

Chapter 7 1. Random Variables

MTP_Foundation_Syllabus 2012_June2016_Set 1

Energy and public Policies

Pricing Options with Binomial Trees

Point-Biserial and Biserial Correlations

Statistical Evidence and Inference

Conover Test of Variances (Simulation)

CHAPTER 8 PROBABILITY DISTRIBUTIONS AND STATISTICS

Machine Learning for Quantitative Finance

Los Angeles Unified School District Division of Instruction Financial Algebra Course 2

Computational Finance Improving Monte Carlo

Review for Final Exam Spring 2014 Jeremy Orloff and Jonathan Bloom

Study Guide on Testing the Assumptions of Age-to-Age Factors - G. Stolyarov II 1

A probability distribution shows the possible outcomes of an experiment and the probability of each of these outcomes.

Chapter 3 Discrete Random Variables and Probability Distributions

TRUE/FALSE 1 (2) TRUE FALSE 2 (2) TRUE FALSE. MULTIPLE CHOICE 1 (5) a b c d e 3 (2) TRUE FALSE 4 (2) TRUE FALSE. 2 (5) a b c d e 5 (2) TRUE FALSE

Chapter 6 Simple Correlation and

The University of Chicago, Booth School of Business Business 41202, Spring Quarter 2017, Mr. Ruey S. Tsay. Solutions to Final Exam

Statistics and Finance

Options Pricing Using Combinatoric Methods Postnikov Final Paper

STA 103: Final Exam. Print clearly on this exam. Only correct solutions that can be read will be given credit.

Richardson Extrapolation Techniques for the Pricing of American-style Options

Math Analysis Midterm Review. Directions: This assignment is due at the beginning of class on Friday, January 9th

Lecture 16: Delta Hedging

Notes: This is a closed book and closed notes exam. The maximal score on this exam is 100 points. Time: 75 minutes

Clark. Outside of a few technical sections, this is a very process-oriented paper. Practice problems are key!

Statistical Models of Stocks and Bonds. Zachary D Easterling: Department of Economics. The University of Akron

INSTITUTE OF ACTUARIES OF INDIA

ELEMENTS OF MONTE CARLO SIMULATION

Reading: You should read Hull chapter 12 and perhaps the very first part of chapter 13.

2009/2010 CAIA Prerequisite Diagnostic Review (PDR) And Answer Key

MFE/3F Questions Answer Key

INSTITUTE OF ACTUARIES OF INDIA EXAMINATIONS. 20 th May Subject CT3 Probability & Mathematical Statistics

Tests for Intraclass Correlation

Stat 328, Summer 2005

Transcription:

s@lm@n PRMIA Exam 8002 PRM Certification - Exam II: Mathematical Foundations of Risk Measurement Version: 6.0 [ Total Questions: 132 ]

Question No : 1 A 2-step binomial tree is used to value an American put option with strike 104, given that the underlying price is currently 100. At each step the underlying price can move up by 20% or down by 20% and the risk-neutral probability of an up move is 0.55. There are no dividends paid on the underlying and the discretely compounded risk free interest rate over each time step is 2%. What is the value of the option in this model? A. 11.82 B. 12.33 C. 12.49 D. 12.78 Question No : 2 Which of the following statements concerning class intervals used for grouping of data is correct? When grouping data, attention must be paid to the following with regards to class intervals: 1. Class intervals should not overlap 2. Class intervals should be of equal size unless there is a specific need to highlight data within a specific subgroup 3. The class intervals should be large enough so that they not obscure interesting variation within the group A. Statements 2 and 3 are correct B. Statements 1 and 2 are correct C. All three statements are correct D. Statements 1 and 3 are correct Answer: B Question No : 3 2

Consider the following distribution data for a random variable X: What is the mean and variance of X? A. 3.6 and 7.15 B. 3.4 and 3.84 C. 3.5 and 3.45 D. None of these Answer: D Question No : 4 I have $5m to invest in two stocks: 75% of my capital is invested in stock 1 which has price 100 and the rest is invested in stock 2, which has price 125. If the price of stock 1 falls to 90 and the price of stock 2 rises to 150, what is the return on my portfolio? A. -2.50% B. -5% C. 2.50% D. 5% Answer: A Question No : 5 Which statement regarding the matrix below is true? A. It is not positive definite B. It is positive semi-definite C. It is positive definite D. It is negative definite Answer: A Question No : 6 The correlation between two asset returns is 0.5. What is the largest eigenvalue of their 3

correlation matrix? A. 0.5 B. 1 C. 1.5 D. None of the above Question No : 7 In statistical hypothesis tests, 'Type I error' refers to the situation in which A. The null hypothesis is accepted when in fact it should have been rejected B. The null hypothesis is rejected when in fact it should have been accepted C. Both null hypothesis and alternative hypothesis are rejected D. Both null hypothesis and alternative hypothesis are accepted Answer: B Question No : 8 In a 2-step binomial tree, at each step the underlying price can move up by a factor of u = 1.1 or down by a factor of d = 1/u. The continuously compounded risk free interest rate over each time step is 1% and there are no dividends paid on the underlying. Use the Cox, Ross, Rubinstein parameterization to find the risk neutral probability and hence find the value of a European put option with strike 102, given that the underlying price is currently 100. A. 5.19 B. 5.66 C. 6.31 D. 4.18 Question No : 9 4

Identify the type and common element (that is, common ratio or common difference) of the following sequence: 6, 12, 24 A. arithmetic sequence, common difference 2 B. arithmetic sequence, common ratio 2 C. geometric sequence, common ratio 2 D. geometric sequence, common ratio 3 Question No : 10 Which of the following can induce a 'multicollinearity' problem in a regression model? A. A large negative correlation between the dependent variable and one of the explanatory variables B. A high positive correlation between the dependent variable and one of the explanatory variables C. A high positive correlation between two explanatory variables D. The omission of a relevant explanatory variable Question No : 11 Let a, b and c be real numbers. Which of the following statements is true? A. The commutativity of multiplication is defined by B. The existence of negatives is defined by C. The distributivity of multiplication is defined by D. The associativity of multiplication is defined by Question No : 12 Consider an investment fund with the following annual return rates over 8 years: +6%, -6%, 5

+12%, -12%, +3%, -3%, +9%, -9%. What can you say about the annual geometric and arithmetic mean returns of this investment fund? A. The arithmetic mean return is zero and the geometric mean return is negative B. The arithmetic mean return is negative and the geometric mean return is zero C. The arithmetic mean return is equal to the geometric mean return D. None of the above Answer: A Question No : 13 Which of the following statements about variance and standard deviation are correct? 1. When calculated based on a sample of the population data, one has to correct for any bias in the result by using the number of degrees of freedom in the calculation 2. Variance is in square root units of the underlying data, whereas standard deviation is in units of the underlying data 3. When considering independent variables, variance is additive, while standard deviation is not A. All three statements are correct B. Statements 1 and 2 are correct C. Statements 1 and 3 are correct D. Statements 2 and 3 are correct Question No : 14 At what point x does the function f(x) = x3-4x2 + 1 have a local minimum? A. -0.666666667 B. 0 C. 2.66667 6

D. 2 Question No : 15 Consider two functions f(x) and g(x) with indefinite integrals F(x) and G(x), respectively. The indefinite integral of the product f(x)g(x) is given by A. F(x)G(x) B. F(x)g(x) + f(x)g(x) C. F(x)g(x) - F(x)g'(x)dx D. f(x)g(x) - F(x)g'(x)dx Question No : 16 The gradient of a function f(x, y, z) = x + y2 - x y z at the point x = y = z = 1 is A. (0, 2, 1) B. (0, 0, 0) C. (1, 1, 1) D. (0, 1, -1) Answer: D Question No : 17 Let N(.) denote the cumulative distribution function of the standard normal probability distribution, and N' its derivative. Which of the following is false? A. N(0) = 0.5 B. N'(0) 0 C. N(x) 0 as x D. N'(x) 0 as x 7

Question No : 18 When calculating the implied volatility from an option price we use the bisection method and know initially that the volatility is somewhere between 1% and 100%. How many iterations do we need in order to determine the implied volatility with accuracy of 0.1%? A. 10 B. 100 C. 25 D. 5 Answer: A Question No : 19 A linear regression gives the following output: Figures in square brackets are estimated standard errors of the coefficient estimates. What is the value of the test statistic for the hypothesis that the coefficient of is less than 1? A. 0.32 B. 0.64 C. 0.96 D. 1.92 Answer: B Question No : 20 Which of the following is not a sequence? A.,,,,, B.,,,, C.,,,,,, 8

D. 30 Answer: D Question No : 21 You are given the following values of a quadratic function f(x): f(0)=0, f(1)=-2, f(2)=-5. On the basis of these data, the derivative f'(0) is A. in the interval ]-2.5,-2[ B. equal to -2 C. in the interval ]-2,+[ D. in the interval ]-,-2.5] Question No : 22 Which of the following statements is not correct? A. Every linear function is also a quadratic function. B. A function is defined by its domain together with its action. C. For finite and small domains, the action of a function may be specified by a list. D. A function is a rule that assigns to every value x at least one value of y. Answer: D Question No : 23 Which of the following properties is exhibited by multiplication, but not by addition? A. associativity B. commutativity C. distributivity D. invertibility 9