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Question 708  continuously compounding rate, continuously compounding rate conversion

Convert a 10% continuously compounded annual rate (rcc annual) into an effective annual rate (reff annual). The equivalent effective annual rate is:


Answer: Good choice. You earned $10. Poor choice. You lost $10. rcc annual=ln(1+reff annual) exp(rcc annual)=exp(ln(1+reff annual))=1+reff annual reff annual=exp(rcc annual)1=exp(0.1)1=e0.11=0.105170918

Question 709  continuously compounding rate, APR

Which of the following interest rate quotes is NOT equivalent to a 10% effective annual rate of return? Assume that each year has 12 months, each month has 30 days, each day has 24 hours, each hour has 60 minutes and each minute has 60 seconds. APR stands for Annualised Percentage Rate.


Answer: Good choice. You earned $10. Poor choice. You lost $10.

Since the assumptions state that there are 30 days per month and therefore 360 days per year, then the annualised percentage rate compounding per day should be:

rAPR comp daily=reff daily×360=((1+reff annual)1/3601)×360=((1+0.1)1/3601)×360=0.00026478555×360=0.095322798

Commentary

Notice that the APR's get smaller as the compounding period becomes shorter. The continuously compounded return is the limit when the compounding period is infinitely small. The APR compounding per second is nearly equal to the continuously compounded rate.

Different Return Quotations Equivalent to an Effective Annual Rate of 10%
Quote type Return (%pa) Symbol Formula Spreadsheet formula
Effective annual rate 10 reff annual =reff annual =0.1
APR compounding per annum 10 rapr comp annually =reff annual =0.1
APR compounding semi-annually 9.761769634 rapr comp 6mth =2×((1+reff annual)1/21) =2 * ((1+0.1)^(1/2)-1)
APR compounding quarterly 9.645475634 rapr comp quarterly =4×((1+reff annual)1/41) =4 * ((1+0.1)^(1/4)-1)
APR compounding monthly 9.568968515 rapr comp monthly =12×((1+reff annual)1/121) =12 * ((1+0.1)^(1/12)-1)
APR compounding daily 9.532279763 rapr comp daily =360×((1+reff annual)1/3601) =360 * ((1+0.1)^(1/360)-1)
APR compounding hourly 9.531070550 rapr comp hourly =360×24×((1+reff annual)1/(360×24)1) =360*24 * ((1+0.1)^(1/(360*24))-1)
APR compounding per minute 9.531018861 rapr comp per minute =360×24×60×((1+reff annual)1/(360×24×60)1) =360*24*60 * ((1+0.1)^(1/(360*24*60))-1)
APR compounding per second 9.531018227 rapr comp per second =360×24×60×60×((1+reff annual)1/(360×24×60×60)1) =360*24*60*60 * ((1+0.1)^(1/(360*24*60*60))-1)
Continuously compounded annual rate 9.531017980 rcc annual =ln(1+reff annual)=loge(1+reff annual) =ln(1+0.1)
 

 


Question 710  continuously compounding rate, continuously compounding rate conversion

A continuously compounded monthly return of 1% (rcc monthly) is equivalent to a continuously compounded annual return (rcc annual) of:


Answer: Good choice. You earned $10. Poor choice. You lost $10.

Converting continuously compounding rates to different time periods is surprisingly easy. To compound up from monthly to annual, just multiply by the number of months in a year.

rcc annual=rcc monthly×12=0.01×12=0.12

Question 712  effective rate conversion

An effective monthly return of 1% (reff monthly) is equivalent to an effective annual return (reff annual) of:


Answer: Good choice. You earned $10. Poor choice. You lost $10.

Converting effective rates to different time periods requires powers to take compounding into account. To compound up from monthly to annual, add one, raise to the power of the number of months in a year, then subtract one.

reff annual=(1+reff monthly)121=(1+0.01)121=0.12682503

Question 714  return distribution, no explanation

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


Answer: Good choice. You earned $10. Poor choice. You lost $10.

No explanation provided.


Question 716  return distribution

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

PDF graph

Which of the below statements is NOT correct?


Answer: Good choice. You earned $10. Poor choice. You lost $10.

The variable Green is always between <Green< if it is normally distributed, there is no minimum or maximum value. This is because a normal distribution has left and right tails that stretch to negative and positive infinity respectively.


Question 725  return distribution, mean and median returns

If a stock's future expected effective annual returns are log-normally distributed, what will be bigger, the stock's ✓ or effective annual return? Or would you expect them to be ?

Answer: Good choice. You earned $10. Poor choice. You lost $10.

The mean of a log-normally distributed variable is always higher than the median because the median is the middle value (the 50th percentile) which is less influenced by outliers.

The mean is more heavily influenced by outliers, especially in the log-normal distribution where the mean is pulled higher by the very large returns in the far right tail.


Question 718  arithmetic and geometric averages

The symbol GDR01 represents a stock's gross discrete return per annum over the first year. GDR01=P1/P0. The subscript indicates the time period that the return is mentioned over. So for example, AAGDR13 is the arithmetic average GDR measured over the two year period from years 1 to 3, but it is expressed as a per annum rate.

Which of the below statements about the arithmetic and geometric average GDR is NOT correct?


Answer: Good choice. You earned $10. Poor choice. You lost $10.

Statement b is false. The geometric average return is the product of the returns raised to the power of 1 on the number of returns:

GAGDR0T=(GDR01.GDR12...GDRT1T)1/T

Statement e is true. The arithmetic and geometric averages of returns will be equal if the variance of the stock's returns is zero. But this would be very unusual because the stock return would then be constant and therefore risk free.


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?


Answer: Good choice. You earned $10. Poor choice. You lost $10.

A stocks’ future annual net discrete returns (Pt/P01) must be log-normally distributed when future stock prices (Pt) are also log-normally distributed. This is because net discrete returns are 'linear transformations' of stock prices. The shape of the net discrete return's distribution (given by its probability density function or PDF) is the same as the future stock price's log-normal distribution, but it's squashed flatter when it's divided by the original price (Pt/P01), and shifted to the left by one unit due to the minus one (Pt/P01).


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:

rt monthly=ln(PtPt1)

He then took the arithmetic average and found it to be 1% per month using this formula:

ˉrmonthly=Tt=1(rt monthly)T=0.01=1% per month

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

σmonthly=Tt=1((rt monthlyˉrmonthly)2)T=0.05=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.


Answer: Good choice. You earned $10. Poor choice. You lost $10.

Over the next 10 years the expected mean gross discrete 10 year return is:

MeanGDR=AAGDR=e(AALGDR+SDLGDR2/2).t=e(0.01+0.052/2)×12×10=3.857425531

The expected median gross discrete 10 year return is:

MedianGDR=GAGDR=eAALGDR.t=e0.01×12×10=3.320116923

Note that the gross discrete return is log-normally distributed so the mean will always be greater than the median.


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 0.9802 1.0607 1.0607
 

 


Answer: Good choice. You earned $10. Poor choice. You lost $10.

Statement e is false and it can be verified using the actual data in the table, which is done below. The logarithm of the arithmetic average of the gross discrete returns (LAAGDR) is only asymptotically equal to the arithmetic average of the logarithms of the gross discrete returns (AALGDR) plus half the variance of the LGDR's. It's only true if the LGDR's are normally distributed and there are lots of observations.

LAAGDRAALGDR+SDLGDR2/2

Note that means 'approximately equal to'. The equation will only be equal at the limit as the time period that the averages are measured over reaches infinity.

limT(LAAGDR)=limT(AALGDR+SDLGDR2/2)

Let's check that the two sides of the equation are approximately equal, but not exactly equal, using the table data:

LAAGDRAALGDR+SDLGDR2/2 ln(1.25)0+0.980191422/2 0.2231435510.48038761

The figures are quite different, but if more time periods were added, then these values would converge to be approximately equal. One reason why the figures are different is because the two gross discrete return data points are not log-normally distributed. Remember that the log-normal distribution is supposed to be skewed but with only two return observations it's impossible to create skew.

Statement d is true. The logarithm of the geometric average of the gross discrete returns (LGAGDR) is equal to the arithmetic average of the logarithms of the gross discrete returns (AALGDR). This is always true, regardless of the distribution of returns.

LGAGDR=AALGDR Where: LGAGDR=ln((Tt=1(GDRt))1/T) AALGDR=Tt=1(LGDRt)T

Let's check the equation using the table data:

ln(GAGDR)=AALGDR ln(1)=0 0=0

Statement a is true. The geometric average of the gross discrete returns (GAGDR) is equal to:

GAGDR=(Tt=1(GDRt))1/T=(0.5×2)1/2=1=100%

Interestingly, another way to calculate the GAGDR is to find the natural exponent of the arithmetic average of the logarithms of the gross discrete returns (AALGDR).

This means that statement b is also true:

GAGDR=exp(AALGDR)=exp(0)=e0=1

Statement c is true. The geometric average gross discrete return is also equal to the last price divided by the first price raised to the power of the inverse number of time periods between them.

GAGDR=(PT/P0)1/T=(100/100)1/2=1=100%