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Chapter 10 Index analysis

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Chapter 10 Index analysis
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Page 1: Chapter 10 Index analysis

Chapter 10Index analysis

Page 2: Chapter 10 Index analysis

The concept and classification of index

• A statistical indicator providing a representation of the value of the securities which constitute it. Indices often serve as barometers for a given market or industry and benchmarks against which financial or economic performance is measured.

Page 3: Chapter 10 Index analysis

INDIVIDUAL INDEX

QUANTITY INDEX

VALUE INDEX

Some commonly used statistical indexs

Page 4: Chapter 10 Index analysis

Price Relatives

• Price relatives are helpful in understanding and interpreting changing economic and business conditions over time.

Page 5: Chapter 10 Index analysis

Price Relatives• A price relative shows how the current price per unit

for a given item compares to a base period price per unit for the same item.

• A price relative expresses the unit price in each period as a percentage of the unit price in the base period.

• A base period is a given starting point in time.

Price relative in period =Price in period Base period price

( )tt

100Price relative in period =Price in period Base period price

( )tt

100

Page 6: Chapter 10 Index analysis

Example: Besco Products

• Price Relatives

The prices Besco paid for newspaper and television ads in 1992 and 1997 are shown below. Using 1992 as the base year, compute a 1997 price index for newspaper and television ad prices.

1992 1997

Newspaper $14,794 $29,412

Television 11,469 23,904

Page 7: Chapter 10 Index analysis

Example: Besco Products

• Price Relatives

Newspaper Television

Television advertising cost increased at a greater rate.

199)100(794,14

412,291997 I 199)100(

794,14

412,291997 I

Page 8: Chapter 10 Index analysis

Aggregate Price Indexes• An aggregate price index is developed for the specific purpose of

measuring the combined change of a group of items.• An unweighted aggregate price index in period t,

denoted by It , is given by

where

Pit = unit price for item i in period t

Pi 0 = unit price for item i in the base period

IPPtit

i

0100( )I

PPtit

i

0100( )I

PPtit

i

0100( )I

PPtit

i

0100( )

Page 9: Chapter 10 Index analysis

• With a weighted aggregate index each item in the group is weighted according to its importance, which typically is the quantity of usage.

• Letting Qi = quantity for item i, the weighted aggregate price index in period t is given by

where the sums are over all items in the group.

IP QP Qtit i

i i

0100( )I

P QP Qtit i

i i

0100( )

Aggregate Price Indexes

Page 10: Chapter 10 Index analysis

Aggregate Price Indexes

• When the fixed quantity weights are determined from the base-year usage, the index is called a Laspeyres index.

• When the weights are based on period t usage the index is a Paasche index.

Page 11: Chapter 10 Index analysis

Example: City of Newton• Aggregate Price Indexes

Data on energy consumption and expenditures by sector for the city of Newton are given below. Construct an aggregate price index for energy expenditures in 2000 using 1985 as the base year.

Quantity (BTU) Unit Price ($/BTU)

Sector 1985 2000 1985 2000

Residential 9,473 8,804 $2.12 $10.92

Commercial 5,416 6,015 1.97 11.32

Industrial 21,287 17,832 .79 5.13

Transport. 15,293 20,262 2.32 6.16

Page 12: Chapter 10 Index analysis

• Unweighted Aggregate Price Index

I2000 = 10.92 + 11.32 + 5.13 + 6.16 (100) = 466 2.12 + 1.97 + .79 + 2.32

• Weighted Aggregate Index (Laspeyres Method)

I2000 = 10.92(9473) + . . . + 6.16(15293) (100) = 443 2.12(9473) + . . . + 2.32(15293)

• Weighted Aggregate Index (Paasche Method)

I2000 = 10.92(8804) + . . . + 6.16(20262) (100) = 415 2.12(8804) + . . . + 2.32(20262)

The Paasche value being less than the Laspeyres indicates usage has increased faster in the lower-priced sectors.

Example: City of Newton

Page 13: Chapter 10 Index analysis

Some Important Price Indexes

• Consumer Price Index (CPI)– Primary measure of the cost of living in US.– Based on 400 items including food, housing,

clothing, transportation, and medical items.– Weighted aggregate price index with fixed

weights derived from a usage survey.– Published monthly by the US Bureau of Labor

Statistics.– Its base period is 1982-1984 with an index of 100.

Page 14: Chapter 10 Index analysis

• Producer Price Index (PPI)– Measures the monthly changes in prices in

primary markets in the US.– Used as a leading indicator of the future trend

of consumer prices and the cost of living.– Covers raw, manufactured, and processed

goods at each level of processing.– Includes the output of manufacturing,

agriculture, forestry, fishing, mining, gas and electricity, and public utilities.

– Weighted average of price relatives using the Laspeyres method.

Some Important Price Indexes

Page 15: Chapter 10 Index analysis

• Dow Jones Averages– Indexes designed to show price trends and

movements on the New York Stock Exchange.– The Dow Jones Industrial Average (DJIA) is

based on common stock prices of 30 industrial firms.

– The DJIA is not expressed as a percentage of base-year prices.

– Another average is computed for 20 transportation stocks, and another for 15 utility stocks.

Some Important Price Indexes

Page 16: Chapter 10 Index analysis

Deflating a Series by Price Indexes• In order to correctly interpret business

activity over time, when it is expressed in dollar amounts, we should adjust the data for the price-increase effect.

• Removing the price-increase effect from a time series is called deflating the series.

• Deflating actual hourly wages results in real wages or the purchasing power of wages.

Page 17: Chapter 10 Index analysis

Example: McNeer Cleaners

• Deflating a Series by Price Indexes

McNeer Cleaners, with 46 branch locations, has had the total sales revenues shown on the next slide for the last five years. Deflate the sales revenue figures on the basis of 1982-1984 constant dollars. Is the increase in sales due entirely to the price-increase effect?

Page 18: Chapter 10 Index analysis

Example: McNeer Cleaners

Deflating a Series by Price Indexes

YearYear Total Sales ($1000) Total Sales ($1000) CPICPI

1996 8,4461996 8,446 156.9 156.9

19971997 9,062 9,062 160.5 160.5

19981998 9, 8309, 830 163.0 163.0

19991999 10,72410,724 166.6 166.6

20002000 11,690 11,690 172.6 172.6

Page 19: Chapter 10 Index analysis

Example: McNeer Cleaners

• Deflating a Series by Price IndexesDeflated Annual

Year Sales ($1000) Change(%)

1996 (8,446/156.9)(100) = 5,3831997 (9,062/160.5)(100) = 5,646 +4.91998 (9,830/163.0)(100) = 6,031 +6.8 1999 (10,724/166.6)(100) = 6,437

+6.72000 (11,690/172.6)(100) = 6,773 +5.2

After adjusting revenue for the price-increase effect, revenue is still increasing at an average rate of 5.9% per year.

Page 20: Chapter 10 Index analysis

• Selection of Items– When the class of items is very large, a

representative group (usually not a random sample) must be used.

– The group of items in the aggregate index must be periodically reviewed and revised if it is not representative of the class of items in mind.

• Selection of a Base Period– As a rule, the base period should not be too far

from the current period.– The base period for most indexes is adjusted

periodically to a more recent period of time.

Price Indexes: Other Considerations

Page 21: Chapter 10 Index analysis

Price Indexes: Other Considerations

• Quality Changes– A basic assumption of price indexes is that

the prices are identified for the same items each period.

– Is a product that has undergone a major quality change the same product it was?

– A substantial quality improvement also may cause an increase in the price of a product.

Page 22: Chapter 10 Index analysis

Quantity Indexes

• An index that measures changes in quantity levels over time is called a quantity index.

• Probably the best known quantity index is the Index of Industrial Production.

• A weighted aggregate quantity index is computed in much the same way as a weighted aggregate price index.

• A weighted aggregate quantity index for period t is given by

IQ wQ wtit i

i i

0100( )I

Q wQ wtit i

i i

0100( )

Page 23: Chapter 10 Index analysis

Average index

• Arithmetic mean index

• Harmonic mean index

Page 24: Chapter 10 Index analysis

Arithmetic mean index

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Page 25: Chapter 10 Index analysis

Harmonic mean index

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Page 26: Chapter 10 Index analysis

Thanks for Your Attention


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