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May 2023 term · Financial Forensics · BSMS4003

Financial Forensics Quiz 2: 6 August 2023 (May 2023 term)

The IIT Madras BS Financial Forensics (Financial Forensics) Quiz 2 paper sat on 6 Aug 2023, in the May 2023 term: 25 questions for 25 marks in 120 minutes. Every question is below with its answer. Take it as a timed mock test to be marked, or read it through first.

Questions
25
Marks
25
Duration
120 min
MCQ
25

Updated

Official paper: IIT M DEGREE AN3 EXAM QPE3 06 Aug 2023 · No negative marking.

Question 1

+1 markOne correct option

XYZ Inc. has quick assets of ₹ 5,50,000 and current liabilities of ₹ 2,50,000. The company purchased ₹ 85,500 in inventory on credit. After the purchase, the quick ratio would be

  1. A

    1.6

  2. B

    2.5

  3. C

    2.0

  4. D

    2.2

Show answer

Correct answer

  • A

    1.6

Question 2

+1 markOne correct option

An increasing inventory turnover ratio

  1. A

    Indicates a shorter time span between the purchase and sale of inventory

  2. B

    Indicates a longer time span between the ordering and receiving of inventory

  3. C

    Indicates a shorter time span between the ordering and receiving of inventory

  4. D

    Indicates a longer time span between the purchase and sale of inventory

Show answer

Correct answer

  • A

    Indicates a shorter time span between the purchase and sale of inventory

Question 3

+1 markOne correct option

A decrease in selling and administrative expenses would impact which of the following ratio?

  1. A

    Fixed asset turnover ratio

  2. B

    Debt-to-equity ratio

  3. C

    Current ratio

  4. D

    Times interest earned ratio

Show answer

Correct answer

  • D

    Times interest earned ratio

Question 4

+1 markOne correct option

Which ratio is reported on the financial statement or in the notes to the statements?

  1. A

    Basic Earnings per share ratio

  2. B

    Diluted Earnings per share ratio

  3. C

    Both basic and diluted Earnings Per share ratio

  4. D

    Net profit ratio

Show answer

Correct answer

  • C

    Both basic and diluted Earnings Per share ratio

Question 5

+1 markOne correct option

Which of the following transactions would usually cause accounts payable turnover to increase?

  1. A

    Payment of cash to a supplier for merchandise previously purchased on credit.

  2. B

    Collection of cash from a customer.

  3. C

    Purchase of merchandise on credit.

  4. D

    None of these

Show answer

Correct answer

  • A

    Payment of cash to a supplier for merchandise previously purchased on credit.

Question 6

+1 markOne correct option

You are considering two independent projects that have differing requirements. Project A has a required return of 12 percent compared to Project B’s required return of 13.5 percent. Project A costs ₹75,000 and has cash flows of ₹21,000, ₹49,000, and ₹12,000 for Years 1 to 3, respectively. Project B has an initial cost of ₹70,000 and cash flows of ₹15,000, ₹18,000, and ₹41,000 for Years 1 to 3, respectively. Based on the NPV, you should:

  1. A

    accept both Project A and Project B.

  2. B

    accept Project A and reject Project B.

  3. C

    accept Project B and reject Project A.

  4. D

    reject both Project A and Project B.

Show answer

Correct answer

  • D

    reject both Project A and Project B.

Question 7

+1 markOne correct option

Your company has a project available with the following cash flows:

YearCash Flow
0−₹81,600
121,250
224,500
330,300
425,750
519,300

If the required return is 13 percent, should the project be accepted based on the IRR?

  1. A

    Yes, because the IRR is 15.43 percent.

  2. B

    Yes, because the IRR is 14.82 percent.

  3. C

    No, because the IRR is 16.05 percent.

  4. D

    No, because the IRR is 14.82 percent.

Show answer

Correct answer

  • B

    Yes, because the IRR is 14.82 percent.

Question 8

+1 markOne correct option

Scott has been offered an employment contract for ten years at a starting salary of ₹ 65,000 with guaranteed annual raises of 5 percent. What is the current value of this offer at a discount rate of 7 percent?

  1. A

    ₹ 638,724.17

  2. B

    ₹ 602,409.91

  3. C

    ₹ 558,845.85

  4. D

    ₹ 630,500.00

Show answer

Correct answer

  • C

    ₹ 558,845.85

Question 9

+1 markOne correct option

A trust has been established to fund scholarships in perpetuity. The next annual distribution will be ₹ 1,200 and future payments will increase by 3 percent per year. What is the value of this trust at a discount rate of 7.4 percent?

  1. A

    ₹ 17,189.19

  2. B

    ₹ 19,960.00

  3. C

    ₹ 27,272.73

  4. D

    ₹ 24,609.11

Show answer

Correct answer

  • C

    ₹ 27,272.73

Question 10

+1 markOne correct option

An insurance settlement offer includes annual payments of ₹ 36,000, ₹ 42,000, and ₹ 50,000 over the next three years, respectively, with the first payment being made one year from today. What is the minimum amount you should accept today as a lump sum settlement if your discount rate is 7 percent?

  1. A

    ₹ 111,144.18

  2. B

    ₹ 105,000.10

  3. C

    ₹ 118,924.27

  4. D

    ₹ 114,556.88

Show answer

Correct answer

  • A

    ₹ 111,144.18

Question 11

+1 markOne correct option

A stock with a beta of zero would be expected to have a rate of return equal to:

  1. A

    Risk-free rate.

  2. B

    Market rate of return.

  3. C

    Market risk premium

  4. D

    Zero.

Show answer

Correct answer

  • A

    Risk-free rate.

Question 12

+1 markOne correct option

The excess return earned by an asset that has a beta of 1.0 over that earned by a risk-free asset is referred to as the:

  1. A

    Market rate of return.

  2. B

    Market risk premium.

  3. C

    Total return.

  4. D

    Real rate of return.

Show answer

Correct answer

  • B

    Market risk premium.

Question 13

+1 markOne correct option

Stock A has an expected return of 12 percent and a variance of 0.0203. The market has an expected return of 11 percent and a variance of 0.0093. What is the beta of Stock A if the covariance of Stock A with the market is 0.0137?

  1. A

    0.68

  2. B

    1.55

  3. C

    1.47

  4. D

    1.32

Show answer

Correct answer

  • C

    1.47

Question 14

+1 markOne correct option

The risk-free rate of return is 3.68 percent and the market risk premium is 7.84 percent. What is the expected rate of return on a stock with a beta of 1.32?

  1. A

    9.17 percent

  2. B

    13.12 percent

  3. C

    14.03 percent

  4. D

    14.36 percent

Show answer

Correct answer

  • C

    14.03 percent

Question 15

+1 markOne correct option

Phil's Carvings wants to have a weighted average cost of capital of 9.5 percent. The firm has an after tax cost of debt of 6.5 percent and a cost of equity of 12.75 percent. What debt-equity ratio is needed for the firm to achieve its targeted weighted average cost of capital?

  1. A

    0.84

  2. B

    0.92

  3. C

    1.08

  4. D

    0.76

Show answer

Correct answer

  • C

    1.08

Question 16

+1 markOne correct option

What is the KS of the below table?

DecileNon EventEvent% Non-Event% EventCum % EventCum % Non EventKS
151495.749495.743.3
281199196814.753.3
386149.6148224.257.8
4901010109234.257.8
595510.659744.852.2
69911119855.842.2
79911119966.832.2
899111110077.822.2
9100011.1010088.911.1
10100011.101001000
  1. A

    43.3

  2. B

    53.3

  3. C

    37.2

  4. D

    57.8

  5. E

    52.2

Show answer

Correct answer

  • D

    57.8

Question 17

+1 markOne correct option

What is the capture rate at the top 5 bins from the below report?

decilemin_probmax_probavg_probcnt_custcnt_respcnt_non_resprratecum_custcum_respcum_non_respcum_cust_pctcum_resp_pctcum_non_resp_pctKSLift
990.0924050.2796240.135947993.0146.0847.014.70993.0146.0847.09.9331.748.8822.863.20
880.0670020.0923420.0780401004.065.0939.06.471997.0211.01786.019.9745.8718.7227.152.30
770.0522880.0669140.0590261002.051.0951.05.092999.0262.02737.029.9956.9628.6928.271.90
660.0425230.0522630.0471491001.049.0952.04.904000.0311.03689.040.0067.6138.6728.941.69
550.0345780.0424920.038425996.036.0960.03.614996.0347.04649.049.9675.4348.7326.701.51
440.0279690.0345530.0311751002.037.0965.03.695998.0384.05614.059.9883.4858.8524.631.39
330.0227180.0279310.0252351001.032.0969.03.206999.0416.06583.069.9990.4369.0021.431.29
220.0178850.0226940.020290998.018.0980.01.807997.0434.07563.079.9794.3579.2815.071.18
110.0128940.0178420.0154001002.016.0986.01.608999.0450.08549.089.9997.8389.618.221.09
000.0033410.0128850.0098521001.010.0991.01.0010000.0460.09540.0100.00100.00100.000.001.00
  1. A

    31.74%

  2. B

    45.87%

  3. C

    56.96%

  4. D

    67.61%

  5. E

    75.43%

Show answer

Correct answer

  • E

    75.43%

Question 18

+1 markOne correct option

Which of the following statements regarding the Weight of Evidence (WoE) technique is correct?

  1. A

    WoE is primarily used to measure the accuracy of a statistical model.

  2. B

    WoE is a feature engineering technique that assigns numerical values to categorical variables.

  3. C

    WoE is a supervised learning algorithm used for binary classification tasks.

  4. D

    WoE is only applicable to linear regression models.

Show answer

Correct answer

  • B

    WoE is a feature engineering technique that assigns numerical values to categorical variables.

Question 19

+1 markOne correct option

What is the rollback rate for 60-89 DPD after 18 MOB?

  1. A

    80.27%

  2. B

    75.46%

  3. C

    74.47%

  4. D

    46.01%

  5. E

    29.63%

Show answer

Correct answer

  • C

    74.47%

Question 20

+1 markOne correct option

In the context of credit scoring and loan approval, what does "Reject Inferencing" refer to?

  1. A

    It is a statistical technique used to reject outliers in a dataset.

  2. B

    Reject Inferencing is a method to assess the probability of loan default for rejected loan applications.

  3. C

    It is a process of rejecting loan applications without any specific criteria.

  4. D

    Reject Inferencing is a term used for rejecting a hypothesis during hypothesis testing.

Show answer

Correct answer

  • B

    Reject Inferencing is a method to assess the probability of loan default for rejected loan applications.

Question 21

+1 markOne correct option

Consider a credit card company analyzing its customer base to assess the risk of default on credit card payments. The company wants to use the WoE technique to transform the "Income Level" feature, which is a categorical variable with values "Low," "Medium," and "High," based on the observed relationship with the target variable (default or non-default). After analyzing historical data, the company finds that the WoE values for each income level are as follows:
● WoE for "Low" income level = -0.75
● WoE for "Medium" income level = 0.15
● WoE for "High" income level = -0.90
What does the negative WoE value for the "High" income level suggest in the context of credit risk modeling?

  1. A

    Customers with a high income level are less likely to default on credit card payments.

  2. B

    Customers with a high income level are more likely to default on credit card payments.

  3. C

    The "High" income level has no significant impact on the risk of default.

  4. D

    WoE cannot be interpreted for categorical variables with more than two levels.

Show answer

Correct answer

  • B

    Customers with a high income level are more likely to default on credit card payments.

Question 22

+1 markOne correct option

In credit risk analysis, the "roll forward rate" is used to:

  1. A

    Calculate the total outstanding debt of a borrower over time.

  2. B

    Assess the likelihood of a borrower defaulting on a loan in the future.

  3. C

    Measure the percentage change in credit scores for borrowers over a specific period.

  4. D

    Monitor the migration of borrowers between different credit risk categories over time.

Show answer

Correct answer

  • B

    Assess the likelihood of a borrower defaulting on a loan in the future.

Question 23

+1 markOne correct option

Suppose a bank is analyzing the credit risk of a group of borrowers over a period of four quarters (Q1, Q2, Q3, and Q4). The bank uses the "roll forward rate" to assess the probability of default for these borrowers during this time. The following table shows the number of borrowers in different credit risk categories:

QuarterLow Credit RiskModerate Credit RiskHigh Credit Risk
Q130001500500
Q228001600400
Q326001700300
Q424001800200

What does the roll forward rate indicate about the credit risk migration of borrowers from Q1 to Q4?

  1. A

    Borrowers with high credit risk in Q1 significantly improved their credit risk status by Q4.

  2. B

    The credit risk status of borrowers remained stable with no significant changes over the quarters.

  3. C

    Borrowers with low credit risk in Q1 are likely to have a higher probability of default by Q4.

  4. D

    The number of borrowers in each credit risk category decreased steadily over the quarters.

Show answer

Correct answer

  • A

    Borrowers with high credit risk in Q1 significantly improved their credit risk status by Q4.

Question 24

+1 markOne correct option

A credit analyst is developing a credit risk model for a bank. The analyst is evaluating the "Credit Score" feature, which represents the creditworthiness of borrowers. The analyst categorizes borrowers into four groups based on their credit scores and examines the number of good and bad loans in each group:

Calculate the Weight of Evidence (WoE) for the "Credit Score" feature for the "701-850" range.

  1. A

    1.892

  2. B

    2.303

  3. C

    2.778

  4. D

    3.171

Show answer

Correct answer

  • D

    3.171

Question 25

+1 markOne correct option

In credit risk modeling, the Weight of Evidence (WoE) is used to:

  1. A

    Measure the accuracy of a predictive model.

  2. B

    Assess the total amount of information in a dataset.

  3. C

    Evaluate the predictive power of a feature in distinguishing between default and non-default cases.

  4. D

    Calculate the proportion of good loans to bad loans in a dataset.

Show answer

Correct answer

  • C

    Evaluate the predictive power of a feature in distinguishing between default and non-default cases.