## Get All Weeks Trading Algorithms Coursera Quiz Answers

## Table of Contents

### Trading Algorithms Week 01 Quiz Answers

#### Quiz 1: Practice Quiz

Q1. Weak form of efficiency claims that past price movements and volume data do not affect stock prices.

- True
**False**

Q2. A weak form of efficiency claims that money cannot be based on technical analysis.

**True**- False

Q3. Semi strong form of market efficiency implies all public information is calculated into a stock’s current price.

**True**- False

Q4. Semi semi-strong form of market efficiency implies meaning neither fundamental nor technical analysis can be used to achieve superior gains.

**True**- False

Q5. The strong form of market efficiency says that asset prices fully reflect all the public and private information available.

**True**- False

Q6. If markets are efficient, can you make profits by trading?

**No**- Yes

Q7. Which form of efficiency says that stock prices reflect only historical stock prices?

**Weak form**- Semi Strong form
- Strong form

Q8. Which form of efficiency says that stock prices reflect all public information?

- Weak form
**Semi – Strong form**- Strong form

#### Quiz 2: Quiz 1

Q1. What are the various reasons that weaken the argument of efficient markets? (Select all options that apply)

**Transaction costs****Restrictions of short-selling****Behavioral issues**

Q2. What are the different types of Market efficiency? (Select all options that apply)

**Weak form****Semi – Strong form****Strong form**- Very Strong form

Q3. Which form of market efficiency says that money cannot be made by technical analysis?

- Strong form
- Weak form
- Semi – Strong form

Q4. Which form of market efficiency says that money cannot be made by fundamental analysis?

- Weak form
- Semi – Strong form
**Strong form**

Q5. Which form of market efficiency means passive investing?

- Weak form
**Strong form**- Semi – Strong form

Q6. Asset prices fully reflect all the public and private information available. Which form of efficiency is this?

- Semi – Strong form
- Weak form
**Strong form**

Q7. Asset prices fully reflect all publicly available information. Which form of efficiency is this?

- Strong form
**Semi – Strong form**- Weak form

Q8. Asset prices reflect only historical stock prices. Which form of efficiency is this?

**Weak form**- Strong form
- Semi – Strong form

Q9. What does market efficiency mean?

**Market efficiency means how quickly information gets incorporated into stock prices.**- Market efficiency means a decrease in transaction costs because of the decreased friction

Q10. If securities markets are efficient, what is the NPV of any security, regardless of its risk?

- Negative
**Zero**- Positive

### Trading Algorithms Week 02 Quiz Answers

#### Quiz 1: Practice Quiz

Q1. Financial trading strategies that continue to perform despite alterations in market conditions are said to be

**Robust**- Value-based Strategies

Q2. Which of the following sections will you find in an academic paper? (Select all that apply)

**Hypothesis****Empirical strategy****Results****Conclusion**

Q3. The methodology and data sources are discussed in the abstract.

- True
**False**

Q4. Backtesting is the process of applying a trading strategy or analytical method to historical data to see how accurately the strategy or method would have predicted actual results.

**True**- False

Q5. Value investing is an investment strategy where stocks are selected that trade for less than their intrinsic values.

**True**- False

#### Quiz 2

Q1. The abstract of Paul Zarowin’s paper ” Size, Seasonality, and Stock Market Overreaction” was published in Volume 25, No. 1, March 1990 issue of the Journal of Financial and Quantitative Analysis is given below.

Abstract

Recent research finds that the prior period’s worst stock return performers (losers) outperform the prior period’s best return performers (winners) in the subsequent period. This potential violation of the efficient markets hypothesis is labeled the “overreaction” phenomenon. This paper shows that the tendency for losers to outperform winners is not due to investor overreaction but to the tendency for losers to be smaller-sized firms than winners. When losers are compared to winners of equal size, there is little evidence of any return discrepancy, and in periods when winners are smaller than losers, winners outperform losers.

Why is this a violation of market efficiency?

**Overreaction and market efficiency cannot exist together**- This is a violation of market efficiency because you are able to predict the stock price
- Worst stocks can never outperform the best stocks

Q2. The abstract of Paul Zarowin’s paper ” Size, Seasonality, and Stock Market Overreaction” was published in Volume 25, No. 1, March 1990 issue of the Journal of Financial and Quantitative Analysis is given below.

Abstract

Recent research finds that the prior period’s worst stock return performers (losers) outperform the prior period’s best return performers (winners) in the subsequent period. This potential violation of the efficient markets hypothesis is labeled the “overreaction” phenomenon. This paper shows that the tendency for losers to outperform winners is not due to investor overreaction but to the tendency for losers to be smaller-sized firms than winners. When losers are compared to winners of equal size, there is little evidence of any return discrepancy, and in periods when winners are smaller than losers, winners outperform losers.

Based on this paper abstract, a trading strategy that can earn profits is

**If the loser is smaller compared to winner then short the loser and long the winner**- If the loser is smaller compared to winner then long the loser and short the winner

Q3. The abstract of Paul Zarowin’s paper ” Size, Seasonality, and Stock Market Overreaction” was published in Volume 25, No. 1, March 1990 issue of Journal of Financial and Quantitative Analysis is given below.

Abstract

Recent research finds that the prior period’s worst stock return performers (losers) outperform the prior period’s best return performers (winners) in the subsequent period. This potential violation of the efficient markets hypothesis is labeled the “overreaction” phenomenon. This paper shows that the tendency for losers to outperform winners is not due to investor overreaction but to the tendency for losers to be smaller-sized firms than winners. When losers are compared to winners of equal size, there is little evidence of any return discrepancy, and in periods when winners are smaller than losers, winners outperform losers.

Based on this paper abstract, a trading strategy that can earn profits is

**If the loser is same size as winner then short the winner and long the loser**- If the loser is same size as winner then long the winner and short the loser

Q4. The abstract of Paul Zarowin’s paper ” Size, Seasonality, and Stock Market Overreaction” was published in Volume 25, No. 1, March 1990 issue of Journal of Financial and Quantitative Analysis is given below.

Abstract

Recent research finds that the prior period’s worst stock return performers (losers) outperform the prior period’s best return performers (winners) in the subsequent period. This potential violation of the efficient markets hypothesis is labeled the “overreaction” phenomenon. This paper shows that the tendency for losers to outperform winners is not due to investor overreaction, but to the tendency for losers to be smaller-sized firms than winners. When losers are compared to winners of equal size, there is little evidence of any return discrepancy, and in periods when winners are smaller than losers, winners outperform losers.

Based on this paper abstract, a trading strategy that can earn profits is

**If the loser is bigger than winner then long the loser and short the winner**- If the loser is bigger than winner then short the loser and long the winner

Q5. Gerben Driespronga, Ben Jacobsenb, and Benjamin Maatc published the paper titled “Striking oil: Another puzzle?” in issue 2, Volume 89 of Journal of Financial Economics. The abstract of the paper is given below:

Changes in oil prices predict stock market returns worldwide. We find significant predictability in both developed and emerging markets. These results cannot be explained by time-varying risk premia as oil price changes also significantly predict negative excess returns. Investors seem to underreact to information in the price of oil. A rise in oil prices drastically lowers future stock returns. Consistent with the hypothesis of a delayed reaction by investors, the relation between monthly stock returns and lagged monthly oil price changes strengthens once we introduce lags of several trading days between monthly stock returns and lagged monthly oil price changes.

Based on the information given in the abstract, if the price of the oil decreases this month, what will happen to the stock market return next month?

**The stock market return increases**- The stock market return decreases

Q6. Gerben Driespronga, Ben Jacobsenb, and Benjamin Maatc published the paper titled “Striking oil: Another puzzle?” in issue 2, Volume 89 of Journal of Financial Economics. The abstract of the paper is given below:

Changes in oil prices predict stock market returns worldwide. We find significant predictability in both developed and emerging markets. These results cannot be explained by time-varying risk premia as oil price changes also significantly predict negative excess returns. Investors seem to underreact to information in the price of oil. A rise in oil prices drastically lowers future stock returns. Consistent with the hypothesis of a delayed reaction by investors, the relation between monthly stock returns and lagged monthly oil price changes strengthens once we introduce lags of several trading days between monthly stock returns and lagged monthly oil price changes.

Based on the information given in the abstract, if the price of the oil decreases this month, what trading strategy based on market returns will generate profits?

**Long the market index**- Short the market index

Q7. Gerben Driespronga, Ben Jacobsenb, and Benjamin Maatc published the paper titled “Striking oil: Another puzzle?” in issue 2, Volume 89 of Journal of Financial Economics. The abstract of the paper is given below:

Changes in oil prices predict stock market returns worldwide. We find significant predictability in both developed and emerging markets. These results cannot be explained by time-varying risk premia as oil price changes also significantly predict negative excess returns. Investors seem to underreact to information in the price of oil. A rise in oil prices drastically lowers future stock returns. Consistent with the hypothesis of a delayed reaction by investors, the relation between monthly stock returns and lagged monthly oil price changes strengthens once we introduce lags of several trading days between monthly stock returns and lagged monthly oil price changes.

Based on the information given in the abstract, if the price of the oil increases this month, what will happen to the stock market return next month?

- The stock market return increases
**The stock market return decreases**

Q8. Gerben Driespronga, Ben Jacobsenb, and Benjamin Maatc published the paper titled “Striking oil: Another puzzle?” in issue 2, Volume 89 of Journal of Financial Economics. The abstract of the paper is given below:

Based on the information given in the abstract, if the price of the oil increases this month, what trading strategy based on market returns will generate profits?

**Short the market index**- Long the market index

Q9. Which of the following is not a section in an academic paper?

- Abstract
**Executive summary**- Results
- Hypothesis

Q10. What is the process of analyzing data from different perspectives and summarizing it into useful information – information that can be used to create trading strategies?

- Stress Testing
**Data Mining**

### Trading Algorithms Week 03 Quiz Answers

#### Quiz 1

Q1. The following data is for MRF Ltd. stock (All values in Million Rupees)

2013 | 2014 | 2015 | |

Net Income | 7764.4 | 9073.4 | 22893 |

Total Assets | 82851.4 | 98248.6 | 128424.3 |

Calculate the ROA for the year 2015.

- 0.23
- 0.18
**0.20**- 0.30

Q2. Based on the value of ROA in question 1, what value will you assign the signal?

**1**- 0

Q3. The following data is for MRF Ltd. stock (All values in Million Rupees)

2013 | 2014 | 2015 | |

Net Income | 7764.4 | 9073.4 | 22893 |

Total Assets | 82851.4 | 98248.6 | 128424.3 |

Calculate the Change in ROA for 2015.

- 0.42
**0.22**- 0.32
- 0.12

Q4. Based on the value of change in ROA in question 3, what value will you assign to the signal ?

- 0
**1**

Q5. The following data is for MRF Ltd. stock (All values in Million Rupees)

2013 | 2014 | 2015 | |

Cash flow from operations | 14763.5 | 16868.4 | 34077.1 |

Total Assets | 82851.4 | 98248.6 | 128424.3 |

Calculate the CFO for the year 2015.

**0.27**- 0.30
- 0.20
- 0.35

Q6. Based on the value of CFO in question 3, what value will you assign to the signal ?

- 0
**1**

Q7. The following data is for MRF Ltd. stock (All values in Million Rupees)

2013 | 2014 | 2015 | |

Net Income | 7764.4 | 9073.4 | 22893 |

Cash flow from operations | 14763.5 | 16868.4 | 34077.1 |

Total Assets | 82851.4 | 98248.6 | 128424.3 |

Calculate the value of accruals for the year 2015.

- 0.45
**0.35**- 0.55
- 0.25

Q8. Based on the value of Accrual in question 3, what value will you assign to the signal ?

- 0
**1**

Q9. The following data is for MRF Ltd. stock (All values in Million Rupees)

2013 | 2014 | 2015 | |

Long term debt | 9524.6 | 11987.5 | 14850.8 |

Total Assets | 82851.4 | 98248.6 | 128424.3 |

Calculate the change in leverage for 2015.

- -0.0014
**0.0014**- 0.05
- -0.05

Q10. Based on the value of change in leverage in question 9, what value will you assign to the signal ?

- 0
**1**

Q11. The following data is for MRF Ltd. stock (All values in Million Rupees)

2013 | 2014 | 2015 | |

Net Sales | 134531.2 | 146493.3 | 225213.5 |

Total Assets | 82851.4 | 98248.6 | 128424.3 |

Calculate the change in turnover for 2015.

**0.27**- 0.32
- 0.17
- 0.37

Q12. Based on the value of change in turnover in question 11, what value will you assign to the signal ?

- 0
**1**

Q13. The following data is for MRF Ltd. stock (All values in Million Rupees)

2013 | 2014 | 2015 | |

Net Sales | 134531.2 | 146493.3 | 225213.5 |

Cost of goods sold | 95187 | 102488.51 | 142075.89 |

Calculate the change in margin for 2015.

- 0.0687
- 0.0432
- 0.0953
**0.1034**

Q14. Based on the value of change in margin in question 13, what value will you assign to the signal ?

**0**- 1

Q15. The following data is for MRF Ltd. stock

2014 | 2015 | |

Current Ratio | 2.04 | 2.03 |

Based on this information, what is the change in liquidity?

**-0.01**- 2.025

Q16. Based on the change in liquidity calculated in question 15, what value will you assign to the change in liquidity signal ?

**0**- 1

Q17. The following data is for MRF Ltd. stock

2013 | 2014 | 2015 | |

Shares Outstanding | 4241143 | 4241143 | 4241143 |

Based on this information, what value will you assign to the change in share signal?

**0**- 1

Q18. What is the F-Score for MRF Ltd?

**6**- 7
- 8
- 9

### Trading Algorithms Week 04 Quiz Answers

#### Quiz 1

Q1. Which of these is not a correct holding period in PEAD? (Select all that apply)

**6 months****One year**

Q2. What is the disposition effect?

**The disposition effect is an anomaly discovered in behavioral finance. It relates to the tendency of investors to sell shares whose price has increased while keeping assets that have dropped in value.**- The disposition effect is an anomaly discovered in behavioral finance. It relates to the tendency of investors to keep shares whose price has increased while selling assets that have dropped in value

Q3. The quarterly EPS details for a firm are as follows:

Year | Quarter | EPS |

2013 | Q 1 | 125 |

2013 | Q 2 | 127 |

2013 | Q 3 | 121 |

2013 | Q 4 | 135 |

2014 | Q 1 | 139 |

2014 | Q 2 | 131 |

2014 | Q 3 | 139 |

2014 | Q 4 | 137 |

2015 | Q 1 | 141 |

2015 | Q 2 | 143 |

2015 | Q 3 | 139 |

2015 | Q 4 | 145 |

2016 | Q 1 | 147 |

2016 | Q 2 | 148 |

2016 | Q 3 | 151 |

2016 | Q 4 | 153 |

Calculate the expected earnings for 2017 Q 1

**138.8**- 130.5
- 142.9
- 149.6

Q4. The quarterly EPS details for a firm are as follows:

Year | Quarter | EPS |

2013 | Q 1 | 120 |

2013 | Q 2 | 127 |

2013 | Q 3 | 121 |

2013 | Q 4 | 135 |

2014 | Q 1 | 135 |

2014 | Q 2 | 131 |

2014 | Q 3 | 139 |

2014 | Q 4 | 137 |

2015 | Q 1 | 140 |

2015 | Q 2 | 143 |

2015 | Q 3 | 139 |

2015 | Q 4 | 145 |

2016 | Q 1 | 143 |

2016 | Q 2 | 148 |

2016 | Q 3 | 151 |

2016 | Q 4 | 153 |

The actual EPS for 2017 Q 1 is 160. What are the unexpected earnings for 2017 Q 1?

**21.18**- 29.35
- 31.25
- 36.25

### Trading Algorithms Week 04 Quiz Answers

#### Quiz 1

Q1. The quarterly EPS details for a firm are as follows:

Calculate the expected earnings for 2017 Q 1

- 132.63
- 137.94
**145.23**- 144.69

Q2. The quarterly EPS details for a firm are as follows:

The actual EPS for 2017 Q 1 is 155. What are the unexpected earnings for 2017 Q 1?

- 23
- 12
- 17
**25**

Q3. The quarterly EPS details for a firm are as follows:

The actual EPS for 2017 Q 1 is 155. What is the SUE for 2017 Q 1?

- 2.12
- 1.76
**1.24**- 2.42

Q4. The 2017 Q 1 analyst forecasts for the same firm are as follows:

What are the expected earnings for 2017 Q 1?

**152.33**- 145.25
- 159.66
- 139.64

Q5. The 2017 Q 1 analyst forecasts for the same firm are as follows:

The actual EPS for 2017 Q 1 are 155. What are the unexpected earnings for 2017 Q 1?

**2.66**- 1.55
- 4.66
- 3.33

Q7. You modify the strategy and divide the firms into quintiles based on ascending order of SUE. What should you do with the lowest quintile and the highest quintile?

- Short the highest quintile and long the lowest quintile
**Short the highest quintile**- Short the lowest quintile and long the highest quintile
**long the lowest quintile**

Q8. What is the problem with long only Piotroski strategy?

**Short selling is not allowed**- Exposure to Market risk

Q9. The stock price of company XYZ increases from Rs. 100 to Rs. 120 and that of company ABC decreases from Rs. 195 to Rs. 150. What will a person suffering from the Disposition effect do?

- Sell XYZ and long ABC
- Sell ABC and Hold XYZ
**Sell XYZ and Hold ABC**

Q10. What should be the holding period in case of PEAD?

- Six months
**Around 2 months**- 1 week
- One year

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