Workstation Calculation Guide - Morningstar
Workstation Calculation Guide - Morningstar
Workstation Calculation Guide - Morningstar
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<strong>Morningstar</strong> ® <strong>Workstation</strong><br />
<strong>Calculation</strong> <strong>Guide</strong><br />
July 2011<br />
©2010 <strong>Morningstar</strong>, Inc. All rights reserved.<br />
Page 1 of 21
Table of Contents<br />
Table of Contents....................................................................................................................... 2<br />
Introduction................................................................................................................................ 4<br />
Parameters Required for <strong>Calculation</strong>s .................................................................................... 4<br />
Standard Statistics & Series’ .................................................................................................... 6<br />
1 Alpha ................................................................................................................................. 6<br />
2 Alpha (Ann) ...................................................................................................................... 6<br />
3 Alpha (Jensen’s) ............................................................................................................... 6<br />
4 Annual Average / Maximum Loss......................................Error! Bookmark not defined.<br />
5 Appraisal Ratio.................................................................................................................7<br />
6 Average Return................................................................................................................. 7<br />
7 Average Return (Ann)...................................................................................................... 7<br />
8 Average Return (Rel) ....................................................................................................... 7<br />
9 Average Return (Ann Rel)............................................................................................... 7<br />
10 Average Return (XS)........................................................................................................ 7<br />
11 Average Return (Ann XS) ............................................................................................... 7<br />
12 Beta .................................................................................................................................... 7<br />
13 Beta (Bear) ........................................................................................................................ 8<br />
14 Beta (Bull) ......................................................................................................................... 9<br />
15 Coefficient of Variation.................................................................................................... 9<br />
16 Correlation...................................................................................................................... 10<br />
17 Correlation (Bull) ........................................................................................................... 10<br />
18 Correlation (Bear) .......................................................................................................... 10<br />
19 Covariance ......................................................................................................................10<br />
20 Down-Down Periods....................................................................................................... 10<br />
21 Down-Up Periods............................................................................................................ 11<br />
22 Downside Capture Ratio................................................................................................ 11<br />
23 Downside Risk................................................................................................................. 11<br />
24 Efficiency......................................................................................................................... 12<br />
25 Gain/Loss Ratio .............................................................................................................. 12<br />
26 Gain (Longest) ................................................................................................................ 12<br />
Page 2 of 21
27 Gain (Max) ......................................................................................................................12<br />
28 Information Ratio........................................................................................................... 13<br />
29 Investor Return............................................................................................................... 13<br />
30 Loss (Longest)................................................................................................................. 13<br />
31 Loss (Max)....................................................................................................................... 13<br />
32 Months (%-ve) / Months (%+ve) .................................................................................. 14<br />
33 Quarter (Best) / Quarter (Worst).................................................................................. 14<br />
34 Return (Max) .................................................................................................................. 14<br />
35 Return (min) ................................................................................................................... 15<br />
36 Return (Range) ............................................................................................................... 15<br />
37 R-Squared .......................................................................................................................15<br />
38 Sharpe Ratio ................................................................................................................... 16<br />
39 Sortino Ratio...................................................................................................................16<br />
40 Standard Error............................................................................................................... 17<br />
41 Sandard Error (beta) ..................................................................................................... 17<br />
42 Tracking Error ............................................................................................................... 18<br />
43 Treynor Ratio ................................................................................................................. 18<br />
44 Up / Down Periods (% of total) ..................................................................................... 19<br />
45 Up / Up Periods (% of total) .......................................................................................... 19<br />
46 Upside Capture Ratio..................................................................................................... 19<br />
47 Upside Potential Ratio.................................................................................................... 19<br />
48 Upside Risk .....................................................................................................................20<br />
49 Variance .......................................................................................................................... 20<br />
50 Volatility.......................................................................................................................... 20<br />
Page 3 of 21
Introduction<br />
All descriptions, formulae and examples utilize a Reinvested Income Price Series (RIPs) rather<br />
than the fund or indices pricing series. This is because RIPs are an aggregation of prices,<br />
income, splits and other corporate actions thus allowing fair and easy comparison between funds<br />
and indices.<br />
Parameters Required for <strong>Calculation</strong>s<br />
<strong>Calculation</strong><br />
Annualized Option<br />
Relative Option<br />
Excess Option<br />
Benchmark Option<br />
In Simple Terms:<br />
Alpha Y The measure of a funds theoretical<br />
total return if the benchmark return<br />
were zero.<br />
Alpha (Ann) Y The measure of a funds theoretical<br />
annualised return if the benchmark<br />
return were zero.<br />
Alpha (Jensen’s)<br />
The funds alpha, adjusted by the<br />
relative risk compared to the<br />
benchmark.<br />
Annual Average / Maximum Loss<br />
The ratio of annualised return over<br />
worst possible performance.<br />
Appraisal Ratio Y<br />
Bear Beta Y<br />
Bear Correlation Y<br />
Beta Y<br />
Best / Worst Quarter<br />
Bull Beta Y<br />
Bull Correlation Y<br />
Coefficient of Variation<br />
Correlation Coefficient Y<br />
Covariance Y<br />
Down/Down Periods (% of Total)<br />
Down/Up Periods (% of Total)<br />
Efficiency<br />
Gains : Losses<br />
Benchmark Required<br />
Manual Entry Option<br />
Manual Entry Required<br />
Page 4 of 21
Information Ratio Y Y Y Y The Information Ratio is based on<br />
Excess or Relative returns and<br />
benchmark is mandatory<br />
Jensen's Alpha Y Y Requires a user to enter the Risk<br />
Free Rate<br />
Longest Gain Period<br />
Longest Loss Period<br />
Maximum (Return over Period) Y Y Y A Benchmark is mandatory when<br />
calculating the Annualised or Excess<br />
variants of this statistic<br />
Maximum Gain Y Y Y A Benchmark is mandatory when<br />
calculating the Annualised or Excess<br />
variants of this statistic<br />
Maximum Loss Y Y Y A Benchmark is mandatory when<br />
calculating the Annualised or Excess<br />
variants of this statistic<br />
Minimum (Return over Period) Y Y Y A Benchmark is mandatory when<br />
calculating the Annualised or Excess<br />
variants of this statistic<br />
Negative Periods (%)<br />
Positive Periods (%)<br />
R Squared Y<br />
Sharpe Ratio Y Y Requires a user to enter the Risk<br />
Free Rate<br />
Sortino Ratio Y Y If Below-Benchmark downside risk is<br />
selected the user is required to<br />
select a benchmark.<br />
If Below-Target downside risk is<br />
selected. The user is required to<br />
enter a Minimum Acceptable Return<br />
Tracking Error Y Y Y Y<br />
Treynor Ratio Y Y Requires a user to enter the Risk<br />
Free Rate<br />
Up/Down Periods (% of total)<br />
Up/Up Periods (% of total)<br />
Upside/Downside Ratio<br />
Upside/Downside Capture Ratio Y<br />
Upside Risk Y Y If Above-Benchmark downside risk<br />
is selected the user is required to<br />
select a benchmark.<br />
Variance<br />
Volatility Y<br />
If Above-Target downside risk is<br />
selected. The user is required to<br />
enter a Minimum Acceptable Return<br />
Page 5 of 21
Standard Statistics & Series’<br />
Fund Monthly RIPs Fund Monthly Returns Index Monthly RIPs Index Monthly Returns<br />
p 1<br />
q 1<br />
p 2<br />
x 1 p2<br />
/ p1<br />
1<br />
q 2<br />
y 1 q2<br />
/ q1<br />
1<br />
… … … …<br />
p n1<br />
x n pn1 / pn<br />
1<br />
q n1<br />
y n qn1 / qn<br />
1<br />
1 Alpha<br />
The Alpha is the y-intercept of the regression line of fund’s returns (y’s) against index returns<br />
(x’s). It’s the fund’s theoretical return when its benchmark return is zero.<br />
<br />
n<br />
<br />
i1<br />
n<br />
x<br />
i<br />
<br />
n<br />
<br />
i1<br />
n<br />
y<br />
i<br />
2 Alpha (Ann)<br />
Annualised Alpha is simply:<br />
12<br />
<br />
annual<br />
<br />
3 Alpha (Jensen’s)<br />
Jensen’s Alpha is the difference between a fund’s actual returns and those that could have been<br />
earned on a benchmark portfolio with the same amount of market risk (the same beta). It<br />
measures a fund’s performance relative to a zero risk investment (Risk Free Rate) and the<br />
performance of the fund’s benchmark.<br />
1/ n <br />
<br />
1/ n<br />
p <br />
n1<br />
<br />
Jensen’s Alpha =<br />
1/ m <br />
qn1<br />
<br />
1/<br />
m<br />
<br />
<br />
<br />
<br />
( 1 R f ) <br />
<br />
<br />
<br />
(1 R f ) ,<br />
<br />
p1<br />
<br />
<br />
<br />
<br />
q1<br />
<br />
<br />
12 for monthly data<br />
m <br />
52 for weekly data<br />
R is user-supplied and quoted on annual basis.<br />
f<br />
Page 6 of 21
4 Appraisal Ratio<br />
Alpha divided by Standard Error, or non systematic risk.<br />
Appraisal Ratio =<br />
<br />
SE<br />
<br />
1<br />
n<br />
n 2 i1<br />
<br />
y i<br />
x i<br />
<br />
2<br />
5 Average Return<br />
The geometric average of the fund’s returns between the start and end date.<br />
1/ n<br />
p <br />
n1 Average Return <br />
<br />
1<br />
p1<br />
<br />
6 Average Return (Ann)<br />
The Annualised geometric average of the fund’s returns between the start and end date.<br />
m/<br />
n<br />
p <br />
n1 12<br />
Annualised Average Return <br />
<br />
1,<br />
m <br />
p1<br />
<br />
52<br />
for monthly data<br />
for weekly data<br />
7 Average Return (Rel)<br />
The geometric average of the fund’s returns between the start and end date divided by the<br />
geometric average of the benchmark returns.<br />
8 Average Return (Ann Rel)<br />
The annualised geometric average of the fund’s returns between the start and end date divided<br />
by the annualised geometric average of the benchmark returns.<br />
9 Average Return (XS)<br />
The geometric average of the fund’s returns between the start and end date minus the geometric<br />
average of the benchmark returns.<br />
10 Average Return (Ann XS)<br />
The annualised geometric average of the fund’s returns between the start and end date minus the<br />
annualised geometric average of the benchmark returns.<br />
11 Batting Average<br />
BattingAverage<br />
where:<br />
n<br />
b<br />
100 <br />
b<br />
n<br />
= number of months/weeks over which data was taken<br />
= number of months/weeks in which the fund beats or matches the index<br />
Page 7 of 21
12 Beta<br />
Beta is the slope of a regression line. A fund’s Beta is an estimate of how much a fund’s return<br />
will move if its benchmark moves by 1. It’s a measure of the sensitivity of a fund’s return to the<br />
changes in its benchmark’s return.<br />
n<br />
<br />
n<br />
<br />
x<br />
y<br />
<br />
<br />
<br />
i i i i<br />
i1<br />
i1<br />
i1<br />
n<br />
n<br />
2<br />
2 <br />
n<br />
yi<br />
<br />
yi<br />
i1 i1<br />
<br />
n<br />
x<br />
n<br />
<br />
<br />
y<br />
13 Beta (Ann)<br />
<br />
annual<br />
n<br />
<br />
n<br />
<br />
i1<br />
n<br />
x<br />
n<br />
m<br />
i<br />
<br />
i1<br />
2<br />
n n<br />
<br />
n<br />
m<br />
yi<br />
<br />
i1 i1<br />
<br />
y<br />
n<br />
m<br />
i<br />
<br />
<br />
n<br />
<br />
x<br />
n<br />
m<br />
i<br />
n<br />
<br />
i1<br />
y<br />
n<br />
m<br />
i<br />
y<br />
2<br />
<br />
<br />
<br />
n<br />
m<br />
i<br />
where:<br />
n = number of months/weeks over which data was taken<br />
m = 12 for monthly data, or 52 for weekly data<br />
14 Beta (Bear)<br />
Bear Beta is a measure of the sensitivity of a fund’s return to negative changes in its benchmark’s<br />
return.<br />
<br />
Bear<br />
m<br />
<br />
<br />
x<br />
m<br />
yneg<br />
<br />
y<br />
y<br />
yneg<br />
2<br />
yneg<br />
where m = number of negative index (y) returns.<br />
<br />
<br />
<br />
<br />
x<br />
yneg<br />
y<br />
yneg<br />
<br />
<br />
y<br />
yneg<br />
2<br />
15 Beta (Bear Ann)<br />
<br />
BearAnnual<br />
where:<br />
n<br />
m<br />
g<br />
<br />
g<br />
<br />
i1<br />
g<br />
g<br />
g<br />
<br />
x<br />
i1<br />
yneg<br />
<br />
y<br />
<br />
n<br />
m<br />
yneg<br />
y<br />
yneg<br />
n<br />
m<br />
<br />
<br />
<br />
2<br />
n<br />
m<br />
<br />
<br />
g<br />
<br />
i1<br />
g<br />
<br />
<br />
i1<br />
<br />
<br />
x<br />
n g<br />
m<br />
yneg <br />
i1<br />
y<br />
yneg<br />
y<br />
n<br />
m<br />
yneg<br />
= number of months/weeks over which data was taken<br />
= 12 for monthly data, or 52 for weekly data<br />
= number of negative index (y) returns.<br />
<br />
<br />
<br />
n<br />
m<br />
2<br />
Page 8 of 21
16 Beta (Bull)<br />
Bull Beta is a measure of the sensitivity of a fund’s return to positive changes in its benchmark’s<br />
return.<br />
<br />
Bull<br />
m<br />
<br />
<br />
x<br />
m<br />
ypos<br />
<br />
where m = number of positive index (y) returns.<br />
17 Beta (Bull Ann)<br />
<br />
BullAnnual<br />
g<br />
<br />
g<br />
<br />
i1<br />
g<br />
g<br />
<br />
x<br />
i1<br />
ypos<br />
<br />
y<br />
<br />
n<br />
m<br />
ypos<br />
y<br />
n<br />
m<br />
ypos<br />
2<br />
<br />
<br />
<br />
n<br />
m<br />
<br />
<br />
g<br />
<br />
i1<br />
g<br />
<br />
<br />
i1<br />
<br />
<br />
x<br />
y<br />
y<br />
n g<br />
m<br />
ypos <br />
i1<br />
y<br />
ypos<br />
ypos<br />
2<br />
ypos<br />
y<br />
n<br />
m<br />
ypos<br />
<br />
<br />
<br />
<br />
n<br />
m<br />
2<br />
<br />
<br />
<br />
x<br />
ypos<br />
y<br />
ypos<br />
<br />
<br />
2<br />
y<br />
ypos<br />
where:<br />
n<br />
m<br />
g<br />
= number of months/weeks over which data was taken<br />
= 12 for monthly data, or 52 for weekly data<br />
= number of negative index (y) returns.<br />
18 Calmar Ratio (Ann Avg / Max Loss)<br />
This is the fund’s Geometric Annualized Average return divided by the fund’s Maximum<br />
Drawdown (greatest ever loss, including temporary up periods). The higher the ratio, the better<br />
the performance of the fund.<br />
Annual Average / Max Loss =<br />
m / n<br />
pn1<br />
<br />
<br />
1<br />
p1<br />
<br />
( 1)<br />
<br />
,<br />
Maximum Loss<br />
12<br />
m <br />
52<br />
for monthly data<br />
for weekly data<br />
See item 24 for Maximum Loss.<br />
19 Coefficient of Variation<br />
Coefficient of Variation is the inverse of the efficiency ratio, i.e., standard deviation (risk) divided<br />
by mean return.<br />
<br />
COV =<br />
p<br />
<br />
p<br />
n1<br />
1<br />
<br />
<br />
<br />
1/ n<br />
1<br />
Page 9 of 21
20 Correlation<br />
Correlation coefficient measures the extent to which the returns of a fund and a benchmark are<br />
related. Values vary between 1 and –1. A correlation of 1 would indicate a perfect positive<br />
correlation, i.e., a fund’s returns move exactly in line with its benchmark. A correlation of -1 would<br />
indicate a perfect negative correlation, i.e., a fund’s returns move in the exact inverse of its<br />
benchmark.<br />
where<br />
r xy<br />
xy<br />
<br />
<br />
n<br />
<br />
n<br />
<br />
2<br />
n <br />
xi<br />
<br />
xi<br />
<br />
i1<br />
i1<br />
<br />
x <br />
,<br />
n(<br />
n 1)<br />
x<br />
2<br />
y<br />
y<br />
<br />
n<br />
n<br />
<br />
i1<br />
<br />
n<br />
2<br />
y <br />
i <br />
<br />
i<br />
n(<br />
n 1)<br />
<br />
1<br />
2<br />
<br />
y <br />
i<br />
<br />
<br />
21 Correlation (Bull)<br />
Bull correlation measures the relationship between a fund and positive market movements.<br />
<br />
xy<br />
r xy<br />
, where y i is positive.<br />
<br />
See Item 11 for and , and Item 12 for .<br />
x<br />
y<br />
x<br />
y<br />
xy<br />
22 Correlation (Bear)<br />
Measures the relationship between a fund and negative market movements.<br />
xy<br />
r xy , where y i is negative.<br />
<br />
See Item 11 for and , and Item 12 for .<br />
x<br />
y<br />
x<br />
y<br />
xy<br />
23 Covariance<br />
A measure of how much the fund and its benchmark move together. A positive covariance shows<br />
that the returns of a fund and its benchmark move in the same direction. A negative covariance<br />
shows that the returns of a fund and its benchmark move in opposite direction.<br />
<br />
xy<br />
1<br />
<br />
n 1<br />
n<br />
<br />
i1<br />
x<br />
xy<br />
y<br />
i<br />
i<br />
24 Down-Down Periods<br />
It’s the percentage of the total number of observations where a negative return was followed by<br />
another negative return. Note: The divisor is the number of observations minus 1.<br />
Page 10 of 21
25 Down-Up Periods<br />
It’s the percentage of the total number of observations where a negative return was followed by a<br />
positive return.<br />
Note: The divisor is the number of observations minus 1.<br />
26 Downside Capture Ratio<br />
Downside Capture Ratio measures a manager's performance in up markets relative to the market<br />
(benchmark) itself. It is calculated by taking the security’s downside capture return and dividing it<br />
by the benchmark’s downside capture return.<br />
DownsideCa ptureRatio<br />
<br />
DnCapRtn<br />
DnCapRtn<br />
sec urity<br />
benchmark<br />
100<br />
Downside Capture Return is a measure of the manager's performance in periods when the<br />
market (benchmark) goes down<br />
27 Downside Risk<br />
It’s measured by semivariance: the average of the squared deviations of returns around the<br />
average return of observations 1) < Mean Return, 2) < Benchmark Mean Return, 3) Minimal<br />
Acceptable Return (MAR). The argument is that returns above the mean are desirable. The<br />
only returns that disturb an investor are those below average.<br />
Below MEAN semivariance:<br />
SV<br />
Below BENCHMARK semivariance:<br />
Below TARGET semivariance:<br />
SV<br />
SV<br />
t<br />
m<br />
b<br />
<br />
<br />
<br />
1<br />
n 1<br />
n<br />
max(0,<br />
x x)<br />
<br />
i<br />
d 1<br />
1<br />
n 1<br />
d<br />
1<br />
n 1<br />
d<br />
n<br />
n<br />
max0,<br />
y xi<br />
<br />
i1<br />
max0,<br />
MAR xi<br />
<br />
i1<br />
n d = count of data periods where return is less than the mean return x , benchmark mean return<br />
y or target return MAR.<br />
MAR= Minimum Acceptable Return, user supplied<br />
Annualised Mean Semivariance:<br />
12 for monthly data<br />
Annualised SV m = SV m * √m , m <br />
52 for weekly data<br />
Annualised Benchmark Semivariance:<br />
12 for monthly data<br />
Annualised SV b = SV b * √m , m <br />
52 for weekly data<br />
2<br />
2<br />
2<br />
Page 11 of 21
Annualised Target Semivariance:<br />
12<br />
Annualised SV t = SV t * √m , m <br />
52<br />
for monthly data<br />
for weekly data<br />
28 Efficiency<br />
It’s the average return divided by the average risk over the selected time period and selected data<br />
frequency.<br />
Efficiency =<br />
<br />
<br />
p<br />
p n 1<br />
1<br />
<br />
<br />
<br />
<br />
1/ n<br />
1<br />
29 Gain/Loss Ratio<br />
This is the sum of positive fund returns divided by the sum of negative fund returns over the<br />
chosen calculation period. The higher the ratio, the greater the proportion of positive returns<br />
versus negative returns, therefore the better the fund’s performance.<br />
Gain / Loss = ( 1)<br />
<br />
<br />
i<br />
<br />
<br />
xi | x i 0<br />
i<br />
x | 0<br />
i x i<br />
30 Gain (Longest)<br />
Largest number of returns where a positive return was followed by another positive return.<br />
31 Gain (Max)<br />
The Maximum Gain represents the best possible return within the performance period.<br />
p j <br />
Maximum Gain = Max 1<br />
i<br />
j pi<br />
<br />
Relative:<br />
<br />
p<br />
j <br />
<br />
1<br />
<br />
pi<br />
Max<br />
<br />
1<br />
i<br />
j<br />
<br />
q<br />
j <br />
<br />
1<br />
<br />
<br />
<br />
qi<br />
<br />
Excess:<br />
<br />
p<br />
Max <br />
i<br />
j p<br />
j<br />
i<br />
q<br />
<br />
q<br />
j<br />
i<br />
<br />
<br />
<br />
Page 12 of 21
32 Information Ratio<br />
The Information ratio shows the degree to which a fund outperforms or under performs its<br />
benchmark, taking into account its sensitivity to its specified market (Tracking Error). The general<br />
formula is mean(d)/std(d).<br />
Inf Ratio<br />
Inf Ratio (Ann)<br />
Inf Ratio (Rel)<br />
Inf Ratio (Ann Rel)<br />
Informatio n Ratio<br />
Informatio n Ratio<br />
annual<br />
Informatio n Ratio<br />
Informatio n Ratio<br />
annual<br />
XS<br />
XS<br />
rel<br />
rel<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
XS<br />
XS<br />
annual<br />
annual<br />
rel<br />
rel<br />
annual<br />
annual<br />
XS<br />
XS<br />
rel<br />
rel<br />
The higher the value the higher the extent to which the fund has consistently outperformed its<br />
benchmark.<br />
33 Investor Return<br />
In order to calculate investor returns, <strong>Morningstar</strong> first calculates the monthly cash inflows or<br />
outflows for each fund. The cash flow estimate for a month (C) is simply the difference in<br />
beginning and ending total net assets (TNA) that cannot be explained by the monthly total return<br />
(r).<br />
C t = TNA t – TNA t+1 (1+r t )<br />
Once monthly cash flows are available for the period in question, investor returns can be derived<br />
with an iterative process. As with an internal rate of return calculation, investor return is the<br />
constant monthly rate of return that makes the beginning assets equal to the ending assets with<br />
all monthly cash flows accounted for. <strong>Morningstar</strong> runs a program that attempts to solve for this<br />
constant rate of return, adjusting the estimate up and down until it converges on a solution. Then<br />
the monthly investor return (r) is annualized ((1+ RIR)12-1).<br />
34 Loss (Longest)<br />
Largest number of returns where a negative return was followed by another negative return.<br />
35 Loss (Max)<br />
The Maximum Loss represents the worst possible return within the performance period.<br />
<br />
p j <br />
Maximum Loss = Min 1<br />
, i, j 1,<br />
2, , n 1<br />
<br />
i<br />
j pi<br />
<br />
Page 13 of 21
Relative:<br />
Excess:<br />
<br />
p j<br />
<br />
pi<br />
Min<br />
<br />
i<br />
j<br />
<br />
q<br />
j<br />
<br />
<br />
<br />
qi<br />
<br />
p<br />
Min <br />
i<br />
j p<br />
j<br />
i<br />
<br />
1<br />
<br />
<br />
<br />
1<br />
<br />
1<br />
<br />
<br />
<br />
<br />
q<br />
<br />
q<br />
j<br />
i<br />
<br />
<br />
<br />
36 Months (%-ve) / Months (%+ve)<br />
This is the percentage of negative monthly returns over the performance period.<br />
Count(<br />
x 0)<br />
Negative Months % = i<br />
100<br />
n<br />
This is the percentage of positive monthly returns over the performance period.<br />
Count(<br />
x 0)<br />
Positive Months % = i<br />
100<br />
n<br />
This is also calculated as a count of months when using Months (-ve) or Months (+ve)<br />
37 Quarter (Best) / Quarter (Worst)<br />
The Best Quarter is the largest positive percentages change over any three months within the<br />
performance period.<br />
p <br />
i 3<br />
Best Quarter = Max <br />
1<br />
i<br />
pi<br />
<br />
The Worst Quarter is the largest negative percentages change over any three months within the<br />
performance period.<br />
pi3<br />
<br />
Worst Quarter = Min 1<br />
i<br />
pi<br />
<br />
Note: monthly data is used in this formula.<br />
38 Return (Max)<br />
The single highest observation for all data available.<br />
Relative:<br />
p<br />
Max <br />
p<br />
i1,<br />
,<br />
n<br />
i1<br />
i<br />
<br />
<br />
<br />
1<br />
Page 14 of 21
Excess:<br />
<br />
pi<br />
<br />
<br />
pi<br />
Max<br />
i1,<br />
,<br />
n<br />
<br />
qi<br />
<br />
<br />
<br />
qi<br />
pi<br />
Max <br />
1,<br />
,<br />
n<br />
p<br />
i<br />
1<br />
1<br />
1<br />
i<br />
<br />
1<br />
<br />
<br />
1<br />
<br />
1<br />
<br />
<br />
<br />
<br />
<br />
qi<br />
<br />
q<br />
1<br />
i<br />
<br />
<br />
<br />
39 Return (min)<br />
The single lowest observation for all data available.<br />
Relative:<br />
Excess:<br />
p<br />
Min <br />
p<br />
i1,<br />
,<br />
n<br />
<br />
pi<br />
<br />
<br />
pi<br />
Min <br />
1,<br />
,<br />
n<br />
<br />
qi<br />
<br />
<br />
<br />
qi<br />
i<br />
pi<br />
Min <br />
1,<br />
,<br />
n<br />
p<br />
i<br />
i1<br />
1<br />
1<br />
1<br />
i<br />
i<br />
<br />
<br />
<br />
1<br />
<br />
1<br />
<br />
<br />
1<br />
<br />
1<br />
<br />
<br />
<br />
<br />
<br />
qi<br />
<br />
q<br />
1<br />
i<br />
<br />
<br />
<br />
40 Return (Range)<br />
The single highest observation for all data available minus the lowest observation for all data<br />
available.<br />
p i 1<br />
<br />
p 1<br />
<br />
Max 1<br />
Min i<br />
1<br />
i1,<br />
,<br />
n<br />
Range = [ pi<br />
i1,<br />
,<br />
n<br />
] – [ pi<br />
]<br />
41 R-Squared<br />
R squared is the square of the correlation and<br />
measures the strength of the association between<br />
the returns of a fund and its benchmark. It’s a measurement of what portion of its performance<br />
can be explained by the performance of the overall market or index. Ranges from 0 to 1 with 0<br />
indicating no correlation and 1 indicating perfect correlation.<br />
See Item Correlation for r xy .<br />
2<br />
R <br />
2<br />
r xy<br />
Page 15 of 21
42 Sharpe Ratio<br />
The Sharpe Ratio is an expression of a fund’s return relative to the risk incurred after subtracting<br />
the returns of a zero risk investment (Risk Free Rate). It’s a measure of efficiency that removes<br />
the risk-free rate of return from observation. The higher the ratio, the better the fund.<br />
Sharpe Ratio =<br />
<br />
<br />
<br />
1/ n<br />
p n1<br />
<br />
1/<br />
m<br />
( 1<br />
R f )<br />
p<br />
<br />
1<br />
<br />
<br />
,<br />
12<br />
m <br />
52<br />
for monthly data<br />
for weekly data<br />
Annualized:<br />
Sharpe Ratio =<br />
m / n<br />
p <br />
n 1<br />
<br />
(1 R f )<br />
p1<br />
<br />
,<br />
m <br />
12<br />
m <br />
52<br />
for monthly data<br />
for weekly data<br />
Where<br />
R f = Risk Free rate, user supplied, quoted on annual basis.<br />
is the standard deviation of p / , i 1, 2, ,<br />
<br />
i 1 p i n<br />
Sharpe Ratio can also be run with a Benchmark in place of the Risk Free Rate, these are the<br />
Sharpe (Bmk) and Sharpe (Bmk Ann) functions.<br />
43 Sortino Ratio<br />
Sortino Ratio is calculated the same as Sharpe Ratio except you use the downside risk as the<br />
divisor. The larger the Sortino Ratio, the less the likelihood of large losses occurring.<br />
Sortino Ratio =<br />
<br />
<br />
<br />
1/ n<br />
p<br />
n1<br />
<br />
1/<br />
m<br />
(1 R<br />
f<br />
p )<br />
1 <br />
SV<br />
x<br />
,<br />
12<br />
m <br />
52<br />
for monthly data<br />
for weekly data<br />
R f = Risk Free rate, user supplied, quoted on annual basis.<br />
SVx<br />
= Downs ide Risk, see item 15 for description<br />
There are three calculation options within <strong>Workstation</strong> for the Sortino, the difference is described<br />
below:<br />
<br />
<br />
<br />
Sortino Mean – this uses the mean semi-variance of the fund for the Minimum<br />
Acceptable Return (i.e. calculates the average return of the fund and uses that)<br />
Sortino Target – this enables the manual input of your target MAR.<br />
Sortino Benchmark – this one enables you to choose a benchmark as your MAR.<br />
Page 16 of 21
Annualised Sortino Ratio:<br />
Sortino Ratio = SR * √m ,<br />
12<br />
m <br />
52<br />
for monthly data<br />
for weekly data<br />
44 Standard Error<br />
Standard Error provides an indication of the magnitude of the sampling error in the prediction of<br />
the fund return for a given index return. The Standard Error shows the amount of error in the<br />
position of the regression line.<br />
Example:<br />
If we use the regression line to estimate Y with a given value of X, the Standard Error gives us an<br />
indication of the range that estimate may lie in.<br />
Thus, if Y <br />
X<br />
and =5 and =1, and the estimated standard error = 2, then<br />
X Y Range<br />
Min Max.<br />
10 10+5=15 13 17<br />
12 12+5=<br />
17 15 19<br />
etc.<br />
If the Standard Error is 2, then the range of Y is 2.<br />
Formula:<br />
er <br />
<br />
1 <br />
n y y<br />
<br />
nn 2 2<br />
<br />
2<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
n<br />
xy x y<br />
n x<br />
2 2<br />
x<br />
<br />
2 <br />
<br />
<br />
<br />
where:<br />
=(Returns of Fund A-1) 100<br />
x i<br />
y i =(Returns of Fund B-1) 100<br />
n=number of Monthly Returns<br />
45 Standard Error (beta)<br />
Stand ard Error provides an indication of the magnitude of the sampling error in the prediction of<br />
the fund return for a given index return. The Standard Error shows the amount of error in the<br />
position of the regression line.<br />
Formula:<br />
er <br />
<br />
n xy x y<br />
n y y<br />
1 <br />
2 2 <br />
<br />
nn 2<br />
<br />
n x<br />
2 2<br />
x<br />
<br />
<br />
<br />
<br />
<br />
<br />
2 <br />
<br />
<br />
<br />
where:<br />
=(Returns of Fund) 100<br />
x i<br />
y i =(Returns of Index) 100<br />
n=number of Monthly Returns<br />
Page 17 of 21
46 Tracking Error<br />
Relative Tracking Error measures the standard deviation of the relative returns.<br />
Monthly/Weekly relative rel :<br />
pi<br />
1<br />
<br />
1<br />
<br />
pi<br />
<br />
It’s the standard deviation of fund’s monthly/weekly relative returns, 1.<br />
qi<br />
1<br />
<br />
1<br />
<br />
qi<br />
<br />
Annualized relative annual rel<br />
:<br />
12 for monthly data<br />
annual rel<br />
rel<br />
m , m <br />
52 for weekly data<br />
Excess Tracking Error measures the standard deviation of the excess returns.<br />
Monthly/Weekly excess<br />
XS :<br />
It’s the standard deviation of fund’s monthly excess returns,<br />
Annualized excess<br />
annual<br />
XS<br />
:<br />
m ,<br />
annual XS<br />
XS<br />
pi1 q i 1<br />
.<br />
p i q i<br />
m <br />
12 for monthly data<br />
52 for weekly<br />
data<br />
The lower the tracking error the closer the relationship between the risk/return characteristic of<br />
the fund and those of its benchmark or the market.<br />
47 Treynor Ratio<br />
Also known as the Reward-to-Volatility ratio. The Treynor Ratio is a measure of a fund’s<br />
performance relative to its benchmark after subtracting the risk free rate.<br />
Treynor Ratio:<br />
where:<br />
μ Mon = Monthly Average<br />
R mon =Monthly Risk Free Rate<br />
f<br />
Treynor mon<br />
<br />
<br />
<br />
mon<br />
R f<br />
<br />
mon<br />
<br />
<br />
R % <br />
n<br />
m<br />
<br />
<br />
f<br />
<br />
1<br />
100 <br />
<br />
<br />
<br />
where:<br />
n=number of months you wish to express R in. f<br />
Page 18 of 21
m=12 for monthly data<br />
β =Beta<br />
R f = Risk<br />
Annualised Treynor Ratio:<br />
Free rate, user supplied, quoted on annual basis.<br />
where:<br />
μ annual =Annualised Average<br />
R =Annualised Risk Free Rate<br />
f<br />
Β =Beta<br />
Treynor<br />
annual<br />
<br />
<br />
annual<br />
<br />
R<br />
f<br />
48 Up / Down Periods (% of total)<br />
It’s the percentage of the total number of observations where a positive return was followed by a<br />
negative return.<br />
Note: The divisor is the number of observations minus 1.<br />
49 Up / Up Periods (% of total)<br />
It’s the percentage of the total number of observations where a positive return was followed by<br />
another positive return.<br />
Note: The divisor is the number of observations minus 1.<br />
50 Upside Capture Ratio<br />
Upside Capture Ratio measures a manager's performance in up markets relative to the market<br />
(benchmark) itself. It is calculated by taking the security’s upside capture return and dividing it by<br />
the benchmark’s upside capture return.<br />
UpCapRtn<br />
UpsideCaptureRatio <br />
UpCapRtn benc<br />
sec urity<br />
hmark<br />
100<br />
UpCapRtn is a measure of the manager' s performance in periods when the market (benchmark)<br />
goes up<br />
51 Upside Potential Ratio<br />
The Upside Potential ratio is the expected return in excess of the MAR divided by the downside<br />
risk.<br />
Page 19 of 21
U-P ratio =<br />
1<br />
n n<br />
1<br />
n<br />
1<br />
MAR= Minimum Acceptable Return, user-supplied.<br />
d<br />
n<br />
n<br />
<br />
i1<br />
<br />
<br />
max0,<br />
MAR x <br />
i<br />
d 1<br />
i 1<br />
i<br />
<br />
max 0, x MAR<br />
2<br />
52 Upside Risk<br />
Volatility over range of returns that are greater than: 1) the Mean Return, 2) Benchmark Mean<br />
Return, or 3) Minimal Acceptable Return (MAR).<br />
Above-mean semivariance:<br />
Above-benchmark semivariance:<br />
Above-target semivariance:<br />
SV<br />
SV<br />
SV<br />
t<br />
m<br />
b<br />
1<br />
<br />
n 1<br />
n<br />
u i1<br />
1<br />
<br />
n 1<br />
u<br />
1<br />
<br />
n 1<br />
u<br />
max0,<br />
xi<br />
x<br />
n<br />
max0,<br />
xi<br />
y<br />
n<br />
i1<br />
max0,<br />
xi<br />
MAR<br />
i1<br />
2<br />
2<br />
2<br />
nu<br />
= count of data periods where return is greater than the mean return<br />
return y or target return MAR.<br />
x , benchmark mean<br />
Note: MAR is user-supplied.<br />
53 Variance<br />
It measures the divergence of returns around the average return.<br />
2<br />
V <br />
S ee Item 40 for .<br />
54 Volatility<br />
Volatility indicates the degree of variability present in a fund’s return history. The higher the<br />
volatility, the higher the level of implicit risk associated with the fund.<br />
Annualized<br />
Volatility<br />
<br />
n<br />
n<br />
<br />
i1<br />
<br />
n<br />
2<br />
x <br />
i <br />
<br />
i<br />
n( n 1)<br />
<br />
1<br />
2<br />
<br />
x <br />
i<br />
<br />
<br />
Page 20 of 21
m ,<br />
annual<br />
m<br />
<br />
<br />
<br />
12<br />
52<br />
for monthly data<br />
for weekly data<br />
Page 21 of 21