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CHAPTER 10 POWERPOINT PRESENTATION

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CHAPTER TEN

FACTOR MODELS

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FACTOR MODELS AND RETURN- GENERATING PROCESSES

FACTOR MODELS

• DEFINITION: a model of a return-

generating process that relates returns on

securities to the movement of one or more

common factors

(3)

FACTOR MODELS AND RETURN- GENERATING PROCESSES

FACTOR MODELS

• assume returns of two securities are

correlated in some way

(4)

FACTOR MODELS AND RETURN- GENERATING PROCESSES

FACTOR MODELS

• any unexplained aspects of a return are assumed to be

unique

uncorrelated with the unique aspect of other securities

(5)

THE MARKET MODEL

THE MARKET MODEL

• is a specific example of a factor model

• the general form may be written

r

i

= 

i, I



i, I

r

i, I

where the factor is the market index (I) r i is the i th return in the market

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THE MARKET MODEL

TWO IMPORTANT FEATURES OF THE ONE-FACTOR MODEL

• THE TANGENCY PORTFOLIO

• DIVERSIFICATION

(7)

MULTIPLE-FACTOR MODELS

MULTIPLE FACTOR MODELS

• use more than one explanatory variable in

the return-generating process

(8)

MULTIPLE-FACTOR MODELS

MULTIPLE-FACTOR MODELS

• some of these factors may include

THE GROWTH RATE OF GDP

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MULTIPLE-FACTOR MODELS

MULTIPLE-FACTOR MODELS

• some of these factors may include

THE LEVEL OF INTEREST RATES

(10)

MULTIPLE-FACTOR MODELS

MULTIPLE-FACTOR MODELS

• some of these factors may include

THE YIELD SPREAD BETWEEN CERTAIN VARIABLES

(11)

MULTIPLE-FACTOR MODELS

MULTIPLE-FACTOR MODELS

• some of these factors may include

THE INFLATION RATE

(12)

MULTIPLE-FACTOR MODELS

MULTIPLE-FACTOR MODELS

• some of these factors may include

THE LEVEL OF OIL PRICES

(13)

MULTIPLE-FACTOR MODELS

SECTOR-FACTOR MODELS

• Assumption:

prices may move together for the same industry or economic sector

(14)

MULTIPLE-FACTOR MODELS

SECTOR-FACTOR MODELS

• sectors possible

utilities

transportation

financial

(15)

ESTIMATING FACTOR MODELS

THREE METHODS

• TIME-SERIES APPROACH

• CROSS-SECTIONAL APPROACH

• FACTOR-ANALYTIC APPROACH

(16)

ESTIMATING FACTOR MODELS

TIME-SERIES APPROACH

• BEGINNING ASSUMPTIONS:

(17)

ESTIMATING FACTOR MODELS

TIME-SERIES APPROACH

• BEGINNING ASSUMPTIONS:

investor knows in advance of the factors that influence a security's returns

(18)

ESTIMATING FACTOR MODELS

TIME-SERIES APPROACH

• BEGINNING ASSUMPTIONS:

investor knows in advance of the factors that influence a security's returns

the information may be gained from an economic analysis of the firm

(19)

ESTIMATING FACTOR MODELS

CROSS-SECTIONAL APPROACH

• BEGINNING ASSUMPTION

(20)

ESTIMATING FACTOR MODELS

CROSS-SECTIONAL APPROACH

• BEGINNING ASSUMPTION

Identify Attributes: estimates of a securities sensitivities to certain factors

(21)

ESTIMATING FACTOR MODELS

CROSS-SECTIONAL APPROACH

• BEGINNING ASSUMPTION

Identify Attributes: estimates of a securities sensitivities to certain factors

estimate attributes in a particular period of time

(22)

ESTIMATING FACTOR MODELS

CROSS-SECTIONAL APPROACH

• BEGINNING ASSUMPTION

Identify Attributes: estimates of a securities sensitivities to certain factors

estimate attributes in a particular period of time

repeat over multiple time periods to estimate the factor’s standard deviations and

correlations

(23)

ESTIMATING FACTOR MODELS

FACTOR-ANALYTIC APPROACH

• BEGINNING ASSUMPTIONS:

neither factor values nor securities attributes are know

(24)

ESTIMATING FACTOR MODELS

FACTOR-ANALYTIC APPROACH

• BEGINNING ASSUMPTIONS

(25)

ESTIMATING FACTOR MODELS

FACTOR-ANALYTIC APPROACH

• BEGINNING ASSUMPTIONS:

neither factor values nor securities attributes are know

uses factor analysis approach

(26)

ESTIMATING FACTOR MODELS

FACTOR-ANALYTIC APPROACH

• BEGINNING ASSUMPTIONS:

neither factor values nor securities attributes are know

uses factor analysis approach

take the returns over many time periods from a sample to identify one or more significant factors generating covariances

(27)

END OF CHAPTER 10

Referanslar

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