Which of the following quantities is commonly assumed to be **normally** distributed?

If a variable, say X, is **normally** distributed with mean ##\mu## and variance ##\sigma^2## then mathematicians write ##X \sim \mathcal{N}(\mu, \sigma^2)##.

If a variable, say Y, is **log-normally** distributed and the underlying normal distribution has mean ##\mu## and variance ##\sigma^2## then mathematicians write ## Y \sim \mathbf{ln} \mathcal{N}(\mu, \sigma^2)##.

The below three graphs show probability density functions (PDF) of three different random variables Red, Green and Blue.

Select the most correct statement:

The below three graphs show probability density functions (PDF) of three different random variables Red, Green and Blue.

Which of the below statements is **NOT** correct?

The below three graphs show probability density functions (PDF) of three different random variables Red, Green and Blue. Let ##P_1## be the unknown price of a stock in one year. ##P_1## is a random variable. Let ##P_0 = 1##, so the share price now is $1. This one dollar is a constant, it is not a variable.

Which of the below statements is **NOT** correct? Financial practitioners commonly assume that the shape of the PDF represented in the colour:

**Question 719** mean and median returns, return distribution, arithmetic and geometric averages, continuously compounding rate

A stock has an arithmetic average continuously compounded return (AALGDR) of **10**% pa, a standard deviation of continuously compounded returns (SDLGDR) of **80**% pa and current stock price of $**1**. Assume that stock prices are log-normally distributed.

In **one** year, what do you expect the mean and median prices to be? The answer options are given in the same order.

**Question 720** mean and median returns, return distribution, arithmetic and geometric averages, continuously compounding rate

A stock has an arithmetic average continuously compounded return (AALGDR) of **10**% pa, a standard deviation of continuously compounded returns (SDLGDR) of **80**% pa and current stock price of $**1**. Assume that stock prices are log-normally distributed.

In **5** years, what do you expect the mean and median prices to be? The answer options are given in the same order.

**Question 721** mean and median returns, return distribution, arithmetic and geometric averages, continuously compounding rate

Fred owns some Commonwealth Bank (CBA) shares. He has calculated CBA’s monthly returns for each month in the past 20 years using this formula:

###r_\text{t monthly}=\ln \left( \dfrac{P_t}{P_{t-1}} \right)###He then took the arithmetic average and found it to be **1**% per month using this formula:

He also found the standard deviation of these monthly returns which was **5**% per month:

Which of the below statements about Fred’s CBA shares is **NOT** correct? Assume that the past historical average return is the true population average of future expected returns.

**Question 722** mean and median returns, return distribution, arithmetic and geometric averages, continuously compounding rate

Here is a table of stock prices and returns. Which of the statements below the table is **NOT** correct?

Price and Return Population Statistics |
||||

Time | Prices | LGDR | GDR | NDR |

0 | 100 | |||

1 | 50 | -0.6931 | 0.5 | -0.5 |

2 | 100 | 0.6931 | 2 | 1 |

Arithmetic average | 0 | 1.25 | 0.25 | |

Arithmetic standard deviation | -0.6931 | 0.75 | 0.75 | |

**Question 723** mean and median returns, return distribution, arithmetic and geometric averages, continuously compounding rate

Here is a table of stock prices and returns. Which of the statements below the table is **NOT** correct?

Price and Return Population Statistics |
||||

Time | Prices | LGDR | GDR | NDR |

0 | 100 | |||

1 | 99 | -0.010050 | 0.990000 | -0.010000 |

2 | 180.40 | 0.600057 | 1.822222 | 0.822222 |

3 | 112.73 | 0.470181 | 0.624889 | 0.375111 |

Arithmetic average | 0.0399 | 1.1457 | 0.1457 | |

Arithmetic standard deviation | 0.4384 | 0.5011 | 0.5011 | |

**Question 779** mean and median returns, return distribution, arithmetic and geometric averages, continuously compounding rate

Fred owns some BHP shares. He has calculated BHP’s monthly returns for each month in the past 30 years using this formula:

###r_\text{t monthly}=\ln \left( \dfrac{P_t}{P_{t-1}} \right)###He then took the arithmetic average and found it to be **0.8**% per month using this formula:

He also found the standard deviation of these monthly returns which was **15**% per month:

Assume that the past historical average return is the true population average of future expected returns and the stock's returns calculated above ##(r_\text{t monthly})## are normally distributed. Which of the below statements about Fred’s BHP shares is **NOT** correct?

**Question 790** mean and median returns, return distribution, arithmetic and geometric averages, continuously compounding rate, log-normal distribution, VaR, confidence interval

A risk manager has identified that their hedge fund’s continuously compounded portfolio returns are normally distributed with a mean of **10**% pa and a standard deviation of **30**% pa. The hedge fund’s portfolio is currently valued at $**100** million. Assume that there is no estimation error in these figures and that the normal cumulative density function at 1.644853627 is 95%.

Which of the following statements is **NOT** correct? All answers are rounded to the nearest dollar.

**Question 791** mean and median returns, return distribution, arithmetic and geometric averages, continuously compounding rate, log-normal distribution, VaR, confidence interval

A risk manager has identified that their pension fund’s continuously compounded portfolio returns are normally distributed with a mean of **5**% pa and a standard deviation of **20**% pa. The fund’s portfolio is currently valued at $**1** million. Assume that there is no estimation error in the above figures. To simplify your calculations, all answers below use **2.33** as an approximation for the normal inverse cumulative density function at **99**%. All answers are rounded to the nearest dollar. Which of the following statements is **NOT** correct?

**Question 792** mean and median returns, return distribution, arithmetic and geometric averages, continuously compounding rate, log-normal distribution, confidence interval

A risk manager has identified that their investment fund’s continuously compounded portfolio returns are normally distributed with a mean of **10**% pa and a standard deviation of **40**% pa. The fund’s portfolio is currently valued at $**1** million. Assume that there is no estimation error in the above figures. To simplify your calculations, all answers below use **2.33** as an approximation for the normal inverse cumulative density function at 99%. All answers are rounded to the nearest dollar. Assume one month is 1/12 of a year. Which of the following statements is **NOT** correct?

**Question 811** log-normal distribution, mean and median returns, return distribution, arithmetic and geometric averages

Which of the following statements about probability distributions is **NOT** correct?

**Question 874** utility, return distribution, log-normal distribution, arithmetic and geometric averages

Who was the first theorist to endorse the maximisiation of the geometric average gross discrete return for investors (not gamblers) since it gave a "...portfolio that has a greater probability of being as valuable or more valuable than any other significantly different portfolio at the end of n years, n being large"?

**Question 906** effective rate, return types, net discrete return, return distribution, price gains and returns over time

For an asset's price to double from say $1 to $2 in one year, what must its effective annual return be? Note that an effective annual return is also called a net discrete return per annum. If the price now is ##P_0## and the price in one year is ##P_1## then the effective annul return over the next year is:

###r_\text{effective annual} = \dfrac{P_1 - P_0}{P_0} = \text{NDR}_\text{annual}###**Question 907** continuously compounding rate, return types, return distribution, price gains and returns over time

For an asset's price to double from say $1 to $2 in one year, what must its continuously compounded return ##(r_{CC})## be? If the price now is ##P_0## and the price in one year is ##P_1## then the continuously compounded return over the next year is:

###r_\text{CC annual} = \ln{\left[ \dfrac{P_1}{P_0} \right]} = \text{LGDR}_\text{annual}###**Question 908** effective rate, return types, gross discrete return, return distribution, price gains and returns over time

For an asset's price to double from say $1 to $2 in one year, what must its gross discrete return (GDR) be? If the price now is ##P_0## and the price in one year is ##P_1## then the gross discrete return over the next year is:

###\text{GDR}_\text{annual} = \dfrac{P_1}{P_0}###**Question 921** utility, return distribution, log-normal distribution, arithmetic and geometric averages, no explanation

Who was the first theorist to propose the idea of ‘expected utility’?

**Question 925** mean and median returns, return distribution, arithmetic and geometric averages, continuously compounding rate, no explanation

The arithmetic average and standard deviation of returns on the ASX200 accumulation index over the 24 years from 31 Dec 1992 to 31 Dec 2016 were calculated as follows:

###\bar{r}_\text{yearly} = \dfrac{ \displaystyle\sum\limits_{t=1992}^{24}{\left( \ln \left( \dfrac{P_{t+1}}{P_t} \right) \right)} }{T} = \text{AALGDR} =0.0949=9.49\% \text{ pa}###

###\sigma_\text{yearly} = \dfrac{ \displaystyle\sum\limits_{t=1992}^{24}{\left( \left( \ln \left( \dfrac{P_{t+1}}{P_t} \right) - \bar{r}_\text{yearly} \right)^2 \right)} }{T} = \text{SDLGDR} = 0.1692=16.92\text{ pp pa}###

Assume that the log gross discrete returns are normally distributed and that the above estimates are true population statistics, not sample statistics, so there is no standard error in the sample mean or standard deviation estimates. Also assume that the standardised normal Z-statistic corresponding to a one-tail probability of **2.5**% is exactly **-1.96**.

Which of the following statements is **NOT** correct? If you invested $1m today in the ASX200, then over the next 4 years:

**Question 926** mean and median returns, return distribution, arithmetic and geometric averages, continuously compounding rate

The arithmetic average continuously compounded or log gross discrete return (AALGDR) on the ASX200 accumulation index over the 24 years from 31 Dec 1992 to 31 Dec 2016 is **9.49**% pa.

The arithmetic standard deviation (SDLGDR) is **16.92** percentage points pa.

Assume that the log gross discrete returns are normally distributed and that the above estimates are true population statistics, not sample statistics, so there is no standard error in the sample mean or standard deviation estimates. Also assume that the standardised normal Z-statistic corresponding to a one-tail probability of **2.5**% is exactly **-1.96**.

If you had a $1 million fund that replicated the ASX200 accumulation index, in how many years would the **median** dollar value of your fund first be expected to lie outside the **95**% confidence interval forecast?

**Question 927** mean and median returns, mode return, return distribution, arithmetic and geometric averages, continuously compounding rate

The arithmetic average continuously compounded or log gross discrete return (AALGDR) on the ASX200 accumulation index over the 24 years from 31 Dec 1992 to 31 Dec 2016 is **9.49**% pa.

The arithmetic standard deviation (SDLGDR) is **16.92** percentage points pa.

Assume that the log gross discrete returns are normally distributed and that the above estimates are true population statistics, not sample statistics, so there is no standard error in the sample mean or standard deviation estimates. Also assume that the standardised normal Z-statistic corresponding to a one-tail probability of **2.5**% is exactly **-1.96**.

If you had a $1 million fund that replicated the ASX200 accumulation index, in how many years would the **mean** dollar value of your fund first be expected to lie outside the **95**% confidence interval forecast?

**Question 928** mean and median returns, mode return, return distribution, arithmetic and geometric averages, continuously compounding rate, no explanation

The arithmetic average continuously compounded or log gross discrete return (AALGDR) on the ASX200 accumulation index over the 24 years from 31 Dec 1992 to 31 Dec 2016 is **9.49**% pa.

The arithmetic standard deviation (SDLGDR) is **16.92** percentage points pa.

**2.5**% is exactly **-1.96**.

If you had a $1 million fund that replicated the ASX200 accumulation index, in how many years would the **mode** dollar value of your fund first be expected to lie outside the **95**% confidence interval forecast?

Note that the mode of a log-normally distributed future price is: ##P_{T \text{ mode}} = P_0.e^{(\text{AALGDR} - \text{SDLGDR}^2 ).T} ##

**Question 929** standard error, mean and median returns, mode return, return distribution, arithmetic and geometric averages, continuously compounding rate

**9.49**% pa.

The arithmetic standard deviation (SDLGDR) is **16.92** percentage points pa.

Assume that the data are **sample** statistics, not population statistics. Assume that the log gross discrete returns are normally distributed.

What is the standard error of your estimate of the sample ASX200 accumulation index arithmetic average log gross discrete return (AALGDR) over the 24 years from 1992 to 2016?