2660 FUNDAMENTALS OF FINANCE LEGEND : =
HEADINGS
LECTURES WEEK 1 -
WEEK 9
=
SUB -
HEADINGS
PROF . RORY MULLEN
=
FORMULAS
WARWICK BUSINESS SCHOOL ,
2021
CARLO DALLE MULE
TOPICS :
DIFFICULTY :
1. FINANCIAL ARITHMETIC • • B.
2. RISK AND EXPECTED RETURN 88 88
3. INVESTMENT UNDER CERTAINTY Be Bo
4. RISK AVERSION AND EXPECTED UTILITY • 08 •
5. OPTIMAL PORTFOLIO SELECTION Ba • or • • !
6. CAPITAL ASSET PRICING MODEL • • • Boa
7. MARKET EFFICIENCY •
8. BOND Do • • ooo
.
PRICING
9. FORWARDS AND FUTURES Be • or
10 .
OPTIONS Bo • 08 Oo ooo !
1. FINANCIAL ARITHMETIC
READINGS : •
HILLIER ET AL .
: 4. I -4.4
•
HILLIER ET AL .
: 5. I -5.3
SENSE OF TOPIC : ARITHMETIC TOOLS FOR BASIC FINANCIAL CONCEPTS . THESE
ARE FOUND THROUGHOUT FINANCE AND ARE MOSTLY BASED
ON THE TIME -
VALUE OF MONEY
SUB -
TOPICS :
1.1 :
DISCOUNTING CASHFLOWS AND NPV
1. 2 : ANNUITIES AND PERPETUITIES
1. 3 :
COUPON BONDS AND ASSET RETURNS
1. 1 DISCOUNTING CASH FLOWS AND NPU
FUTURE CASH FLOWS NEED TO BE DISCOUNTED TO FIND PRESENT VALUE
NPV OF CASH FLOWS :
É
r T ⇐+
CFT
☐Ft =
(ntpjt
PV= [ Npv = -
I +
CAR)t
+ CAR)t +
Lor •
R IS THE RELEVANT COST OF CAPITAL
•
t ARE THE PERIODS
•
I IS THE INITIAL INVESTMENT
↳ IF Npv > 0 THE PROJECT BRINGS VALUE
,1. 2 ANNUITIES AND PERPETUITIES
PERPETVITIES :
↳ CASH FLOWS RECEIVED IN PERPETUITY
IF THE ARE
pv =
Ept → AS IT IS A GEOMETRIC SERIES
SO THAT
,
THE QUESTION IS HOW MUCH MONEY
C ? /r
DO I NEED TODAY MY INTEREST IS EXACTLY → c
CF
PV = → IF THE PERPETUITY GROWS
p -
g
↳ •
G MUST BE SMALLER THAN r
•
IT IS ASSUMED THAT CASH FLOWS OCCUR AT DISCRETE
POINTS IN TIME
ANNUITIES :
↳ IF THE CASHFLOWS ARE CONSTANT AND RECEIVED FOR T PERIODS
↳ CAN BE DERIVED DIFFERENCE BETWEEN PERPETUITY STARTING
BY THE A
TODAY AND ONE STARTING AT T
±
( F- ) eF( )
^
( Ent)
1
-
( Hrt
¥
⇐
-
→ →
t
r
AT IS THE ANNUITY FACTOR
]
→ SOMETIMES
( (F-ryt
,
1-
CF
pv =
FORMULA IS DEFINED AS EF .
AI
r
IF THE ANNUITIES GROW SAME FORMULA CAN BE USED , ACCOUNTING FOR G
,
Piece
[1-4^7++1] r -
g
1. 3 COUPON BONDS AND ASSET RETURNS
COUPON BONDS :
↳ PAY CASHFLOWS AS COUPON AND FACE VALUE AT LAST PERIOD
↳ TREATED AS AN ANNUITY 1- PV OF LAST PAYMENT
GIRI] +
/
FV
^ -
Pv= ee
r Gtr)T
,ASSET RETURNS :
↳ EXPRESSED IN PERCENTAGE
↳ ALWAYS REFERRING TO A PERIOD → IN THIS CASE t → tt s
↳ TWO COMPONENTS :
VALUE GAIN AND CASHFLOW S
→
RETURN RATE IS PRICE INCREASE PLUS CASH Flows
Ptts -
Ptt EÉ^CFt
Rt , tts DIVIDED INITIAL PRICE
=
BY
pt
, 2. RISK AND EXPECTED RETURN
READINGS : •
HILLIER ET AL .
:
9. I -9.6
•
BODIE ET AL .
:
5. 4- 5.5
•
BODIE ET AL .
: 18.2
SENSE OF TOPIC :
WHENEVER THERE IS RISK ,
IT IS COMPENSATED FOR . STOCK RETURNS ,
HOWEVER , CANNOT BE PREDICTED AND ARE THEREFORE RANDOM
VARIABLES . EXPECTED RETURN IS USED INSTEAD .
SUB -
TOPICS : 2.1 :
RANDOM VARIABLES
2. 2
:
DISCRETE PROBABILITY DISTRIBUTION
2. 3 :
CONTINUOUS PROBABILITY DISTRIBUTION
2. 1 RANDOM VARIABLES :
RETURN ON STOCK :
→ FORMED BY TWO COMPONENTS :
CAPITAL GAIN AND DIVIDEND
Pttn P+tDNt+,
-
Ry =
→ CAPITAL GAINS CAN GO UNREALISED
Pt
↳ STOCK RETURNS ARE RANDOM VARIABLES :
RANDOM VARIABLE :
A NUMERIC QUANTITY THAT DEPENDS ON THE REALISATION
OF A RANDOM PROCESS
RANDOM PROCESS :
A SITUATION IN WHICH POSSIBLE OUTCOMES ARE KNOWN BUT
NOT WHICH ONE WILL HAPPEN
↳ USE OF PROBABILITY IS REQUIRED
2. 2 DISCRETE PROBABILITY DISTRIBUTIONS :
DISCRETE RANDOM VARIABLE : A RANDOM VARIABLE THAT TAKES ONLY A COUNTABLE
NUMBER OF POSSIBLE VALUES
MEAN OF DISCRETE RANDOM VARIABLE :
MEASURES
[ Nn=np(✗=xn)xn
→ CENTRALITY
µ=E(×)=
VARIANCE OF DISCRETE RANDOM VARIABLE :
→
En? p(✗ =Xn)(xn MY
MEASURES DISPERSION
02-_E[ ( ✗ -
MY] =
,
-
HEADINGS
LECTURES WEEK 1 -
WEEK 9
=
SUB -
HEADINGS
PROF . RORY MULLEN
=
FORMULAS
WARWICK BUSINESS SCHOOL ,
2021
CARLO DALLE MULE
TOPICS :
DIFFICULTY :
1. FINANCIAL ARITHMETIC • • B.
2. RISK AND EXPECTED RETURN 88 88
3. INVESTMENT UNDER CERTAINTY Be Bo
4. RISK AVERSION AND EXPECTED UTILITY • 08 •
5. OPTIMAL PORTFOLIO SELECTION Ba • or • • !
6. CAPITAL ASSET PRICING MODEL • • • Boa
7. MARKET EFFICIENCY •
8. BOND Do • • ooo
.
PRICING
9. FORWARDS AND FUTURES Be • or
10 .
OPTIONS Bo • 08 Oo ooo !
1. FINANCIAL ARITHMETIC
READINGS : •
HILLIER ET AL .
: 4. I -4.4
•
HILLIER ET AL .
: 5. I -5.3
SENSE OF TOPIC : ARITHMETIC TOOLS FOR BASIC FINANCIAL CONCEPTS . THESE
ARE FOUND THROUGHOUT FINANCE AND ARE MOSTLY BASED
ON THE TIME -
VALUE OF MONEY
SUB -
TOPICS :
1.1 :
DISCOUNTING CASHFLOWS AND NPV
1. 2 : ANNUITIES AND PERPETUITIES
1. 3 :
COUPON BONDS AND ASSET RETURNS
1. 1 DISCOUNTING CASH FLOWS AND NPU
FUTURE CASH FLOWS NEED TO BE DISCOUNTED TO FIND PRESENT VALUE
NPV OF CASH FLOWS :
É
r T ⇐+
CFT
☐Ft =
(ntpjt
PV= [ Npv = -
I +
CAR)t
+ CAR)t +
Lor •
R IS THE RELEVANT COST OF CAPITAL
•
t ARE THE PERIODS
•
I IS THE INITIAL INVESTMENT
↳ IF Npv > 0 THE PROJECT BRINGS VALUE
,1. 2 ANNUITIES AND PERPETUITIES
PERPETVITIES :
↳ CASH FLOWS RECEIVED IN PERPETUITY
IF THE ARE
pv =
Ept → AS IT IS A GEOMETRIC SERIES
SO THAT
,
THE QUESTION IS HOW MUCH MONEY
C ? /r
DO I NEED TODAY MY INTEREST IS EXACTLY → c
CF
PV = → IF THE PERPETUITY GROWS
p -
g
↳ •
G MUST BE SMALLER THAN r
•
IT IS ASSUMED THAT CASH FLOWS OCCUR AT DISCRETE
POINTS IN TIME
ANNUITIES :
↳ IF THE CASHFLOWS ARE CONSTANT AND RECEIVED FOR T PERIODS
↳ CAN BE DERIVED DIFFERENCE BETWEEN PERPETUITY STARTING
BY THE A
TODAY AND ONE STARTING AT T
±
( F- ) eF( )
^
( Ent)
1
-
( Hrt
¥
⇐
-
→ →
t
r
AT IS THE ANNUITY FACTOR
]
→ SOMETIMES
( (F-ryt
,
1-
CF
pv =
FORMULA IS DEFINED AS EF .
AI
r
IF THE ANNUITIES GROW SAME FORMULA CAN BE USED , ACCOUNTING FOR G
,
Piece
[1-4^7++1] r -
g
1. 3 COUPON BONDS AND ASSET RETURNS
COUPON BONDS :
↳ PAY CASHFLOWS AS COUPON AND FACE VALUE AT LAST PERIOD
↳ TREATED AS AN ANNUITY 1- PV OF LAST PAYMENT
GIRI] +
/
FV
^ -
Pv= ee
r Gtr)T
,ASSET RETURNS :
↳ EXPRESSED IN PERCENTAGE
↳ ALWAYS REFERRING TO A PERIOD → IN THIS CASE t → tt s
↳ TWO COMPONENTS :
VALUE GAIN AND CASHFLOW S
→
RETURN RATE IS PRICE INCREASE PLUS CASH Flows
Ptts -
Ptt EÉ^CFt
Rt , tts DIVIDED INITIAL PRICE
=
BY
pt
, 2. RISK AND EXPECTED RETURN
READINGS : •
HILLIER ET AL .
:
9. I -9.6
•
BODIE ET AL .
:
5. 4- 5.5
•
BODIE ET AL .
: 18.2
SENSE OF TOPIC :
WHENEVER THERE IS RISK ,
IT IS COMPENSATED FOR . STOCK RETURNS ,
HOWEVER , CANNOT BE PREDICTED AND ARE THEREFORE RANDOM
VARIABLES . EXPECTED RETURN IS USED INSTEAD .
SUB -
TOPICS : 2.1 :
RANDOM VARIABLES
2. 2
:
DISCRETE PROBABILITY DISTRIBUTION
2. 3 :
CONTINUOUS PROBABILITY DISTRIBUTION
2. 1 RANDOM VARIABLES :
RETURN ON STOCK :
→ FORMED BY TWO COMPONENTS :
CAPITAL GAIN AND DIVIDEND
Pttn P+tDNt+,
-
Ry =
→ CAPITAL GAINS CAN GO UNREALISED
Pt
↳ STOCK RETURNS ARE RANDOM VARIABLES :
RANDOM VARIABLE :
A NUMERIC QUANTITY THAT DEPENDS ON THE REALISATION
OF A RANDOM PROCESS
RANDOM PROCESS :
A SITUATION IN WHICH POSSIBLE OUTCOMES ARE KNOWN BUT
NOT WHICH ONE WILL HAPPEN
↳ USE OF PROBABILITY IS REQUIRED
2. 2 DISCRETE PROBABILITY DISTRIBUTIONS :
DISCRETE RANDOM VARIABLE : A RANDOM VARIABLE THAT TAKES ONLY A COUNTABLE
NUMBER OF POSSIBLE VALUES
MEAN OF DISCRETE RANDOM VARIABLE :
MEASURES
[ Nn=np(✗=xn)xn
→ CENTRALITY
µ=E(×)=
VARIANCE OF DISCRETE RANDOM VARIABLE :
→
En? p(✗ =Xn)(xn MY
MEASURES DISPERSION
02-_E[ ( ✗ -
MY] =
,
-