ECONOMIC ANALYSIS - PowerPoint PPT Presentation

1 / 25
About This Presentation
Title:

ECONOMIC ANALYSIS

Description:

ECONOMIC ANALYSIS Economic Analysis and Efficient Markets If markets are efficient, should we bother with analysis? Yes! In fact, in an efficient market, likely the ... – PowerPoint PPT presentation

Number of Views:1091
Avg rating:3.0/5.0
Slides: 26
Provided by: boo94
Category:

less

Transcript and Presenter's Notes

Title: ECONOMIC ANALYSIS


1
  • ECONOMIC ANALYSIS

2
(No Transcript)
3
Economic Analysis and Efficient Markets
  • If markets are efficient, should we bother with
    analysis?
  • Yes! In fact, in an efficient market, likely the
    only way to outperform market averages is to
    forecast the future better than the consensus.
  • Two basic approaches to security analysis
  • Emphasize history, looking for trends
  • Focusing on the future
  • Still look at some historical information, but
    focus on looking forward to future trends
  • Top-down approach
  • Bottom-up approach

4
General Approaches to Security Analysis
  • Top-Down Approach (Our focus)
  • Review the macro-economy
  • Analyze different industries and sectors
  • Determine buy/sell candidates
  • Bottom-up Approach
  • Focus primarily on the firm-specific factors that
    will lead to success, regardless of industry or
    macroeconomic factors

5
A Three-Step Process
  • Within the three-step process of the top-down
    approach, all steps are crucial
  • General economic influences
  • Government policies strongly influence the
    economic environment, leading to profound effects
    on industries
  • Step 1 Market analysis
  • We can see the influence of changes in the
    overall economy on various classes of investments
  • Some investments do better than others before,
    during, and after recessions, for instance
  • Step 2 Industry Influences
  • We seek to determine which industries will likely
    do better than others in the expected economic
    environment
  • Also, changing demographic factors have different
    effects across industries
  • Step 3 Company Analysis
  • Individual investments will either make or break
    portfolio performance
  • Once well-positioned industries are determined,
    find well-positioned firms within those
    industries

6
Academic support?
  • There is academic support for this top-down
    approach
  • Most changes in individual earnings related to
    changes in aggregate earnings and changes in a
    firms industry
  • There is a relationship between stock and bond
    prices and macroeconomic variables
  • Rates of return for individual stocks can be
    explained by the aggregate stock market and the
    firms industry
  • Value line puzzle

7
Review of Economic Concepts
  • Domestic Economic Activity
  • Forecasting trends in major economic variables
    such as GDP, inflation, interest rates
  • GDP (Gross Domestic Product) components
  • Consumption spending
  • Investment spending
  • Government expenditures
  • Export and import activity
  • Monetary policy Policies of the Fed to control
    the money supply and thereby affect the overall
    economy
  • Open market operations
  • Discount rate changes
  • Reserve requirement changes
  • Fiscal policy Government taxing and spending
    policies to influence the economy and pursue
    other public interests

8
Real GDP ? Consumption Invest. Govrn. Sp. X -Inf.
Purchasing Manager s Index Employment Industrial Production Capacity Car Sales Retail Sales Personal Income and expenditure Housing Starts Building permits Durable goods orders New home sales Construction spending Factory orders Business Inventory Public Construction Merchandise Trade Balance Producer PI Consumer PI
9
Short and Long Term Influences
  • Influences on Long-term Expectations
  • Technology
  • Population
  • Labor force participation
  • Productivity
  • Resource availability
  • Incentives to expand
  • Influences on Short-term Expectations
  • Influences caused by fluctuations in demand
  • Liquidity and bank lending
  • Monetary policy
  • Inflation
  • Interest rates
  • International influences
  • Consumer sentiment
  • Tax and other fiscal policy
  • Economic shocks

10
Key Economic Measures
  • GDP--Total value of the economy published each
    quarter by the Commerce Department
  • Industrial Production--Change in physical output
    of US factories, mines, and utilities. Published
    monthly by the FED.
  • Leading Indicators--One summary number that leads
    changes in GDP(includes layoffs, new orders by
    factories, change in money supply, price of raw
    materials). Monthly index published by the
    Commerce Department. If the index moves in the
    same direction for several months, it is a sign
    that GDP will move the same way in the near
    future
  • Personal Income--Before-tax wages and salaries,
    interests, dividends, rents, payments,
    compensations, and pensions. Issued monthly by
    the Commerce department. As it increases, buying
    increases.
  • Retail Sales--All sales at the retail level.
    Monthly issue by the Commerce Department. Gives
    an idea of consumer attitudes a long slow down
    in sales can lead to cuts in production

11
  • Money Supply--Amount of money in circulation.
    Weekly report by the FED. Moderate growth of MS
    has a positive impact on the economys growth. A
    rapid growth or a sharp slowdown are synonymous
    to future inflation and future recession,
    respectively.
  • Consumer prices--Changes in prices for a fixed
    basket of goods and services. Issued monthly by
    the Labor Department. Measures inflation.
  • Producer Prices--Changes in price of different
    goods at different stages of production (from raw
    materials to finished goods). Issued monthly by
    the Labor Department. Better measure of
    Inflation.
  • Employment-- of workforce that is unvoluntarily
    out of work. Issued Monthly by the Labor
    Department.
  • Housing Starts--Includes the number of new
    building permits issued accross the country.
    Issued monthly by the Labor Department. A pickup
    in the pace of housing starts usually follows an
    easing of credit conditions, which is an
    indication of economic health. Early indicator of
    future economic health.

12
  • Economic Variables and the Stock Market
  • Real growth in GDP-- positive impact
  • Industrial Production-- Continued increase is a
    sign of strength for GDP, and therefore the
    market.
  • Inflation--Bad to stock higher inflation leads
    to higher rates which leads to higher P/E which
    make stocks less attractive
  • Corporate Profits--Strong profits are good
    (duhh!!!)
  • Unemployment--Bad guy business activity is
    slowing down
  • Federal Deficit--mixed positive in a depressed
    economy can lead to inflation in a stronger
    economy.
  • Weak Dollar--Mixed. It makes our equity markets
    less attractive to foreign investors. US products
    are more attractive which in turn is good for the
    economy
  • Interest rates--Bad rising rates negative effect
    on stock markets as bond markets become more
    competitive.
  • Money Supply-- Moderate growth of MS has a
    positive impact on the economys growth. A rapid
    growth or a sharp slowdown are synonimous to
    future inflation and future recession,
    respectively.

13
Factors Affecting Interest Rates
  • Change in Money supply--as it increase, rates go
    down A rapid growth or a sharp slowdown are
    synonimous to future inflation and future
    recession, respectively.
  • The size of the federal deficit--as it increases,
    demand for funds increases, interest rates
    increase.
  • Level of economic activity-- as it increases,
    demand for funds increases, and interest rates
    tend to rise. During recession rates tend to
    fall.
  • The FED--usually an increase in interest rates is
    used to fight inflation.

14
this relationship is positive, yet the spread
changes over time. This indicates that investors
are not very good at predicting inflation.
15
Cyclical Indicator
  • The Cyclical Indicator approach to forecasting
    the economy is based on the belief that the
    aggregate economy expands and contracts in
    discernible periods (business cycle). There are
    hundreds of economic time series that relate to
    the business cycle which have grouped various
    economic series into three major cyclical
    indicator categories leading, coincident, or
    lagging indicators, since they either lead,
    coincide with, or lag the business cycle.
  • Leading Indicators series lead changes in GDP
    (includes layoffs, new orders by factories,
    change in money supply, price of raw
    materials,).
  • Coincident Indicator Series includes economic
    time series that have peaks and troughs that
    roughly coincide with the peaks and troughs in
    the business cycle.
  • Lagging Indicator Series includes series that
    experience their peaks and troughs after those of
    the aggregate economy

16
Leading Indicator Series Peaks Trough Turns
1. Average weekly hours of production workers (manufacturing) 2 3 3
2. Average weekly initial claims for unemployment insurance 5 1 3
3. Manufacturers new orders dollars, consumer goods, and materials 2 2 2
4. Contracts and orders for plant and equipment 5 1 2½
5. Index of raw private housing units authorized by local building permits 9 6 7
6. Index of stock prices, 500 common stocks 4 4 4
7. Money supply 5 4 5
8. Vendor performance (percentage firms receiving slower deliveries) 3 4 3
9. Changes in sensitive materials, prices smoothed 4 8 5½
10. Changes in business and consumer credit outstanding 4 6 5
11. Changes in manufacturing and trade inventories on hand and on order. 3 4 3
17
Coincident Indicator Series
Peaks Troughs All Turns
1. Employees on nonagricultural payrolls 2 0 0
2. Personal income less transfer payments 0 1 ½
3. Index of industrial production 3 0 ½
4. Manufacturing and trade sales 3 0 ½
18
Lagging Indicators
Peak Trough Turns
1. Average duration of unemployment in weeks (inverted) 1 8 3½
2. Ratio of manufacturing and trade inventories to sales 2 3 3
3. Average prime rate charged by banks 4 14 5
4. Commercial and industrial loans outstanding 2 5 4
5. Ratio of consumer installment credit outstanding to personal income 6 7 7
6 Labor costs per unit of output in manufacturing, actual data as percentage of trend 4 14 5
19
Composite index
  • In addition to the individual economic series in
    each category, a composite time series combines
    these leading economic series to form the
    composite leading indicator index. This composite
    leading indicator series is widely reported in
    the press each month as an indicator of the
    current and future state of the economy.

20
  • Some analysts have used a ratio of these
    composite series, contending that the ratio of
    the composite coincident series divided by the
    composite lagging series acts like a leading
    series.
  • The rationale for expecting this leading
    relationship is that the coincident series should
    turn before the lagging series, and the ratio
    between the two series will be quite sensitive to
    such changes. As a result, this ratio is expected
    to lead both of the individual component series,
    especially at turning points.

21
Example Forecasting Tools
  • Searching for leading indicators that will
    provide signals of future economic directions
  • Inflation Indicators
  • Inflation at times is related to turning points
    in the business cycle
  • Inflation destroys the purchasing power of wealth
  • Federal Reserve actions indicate likely trends in
    inflation
  • Money supply and money growth rates relative to
    measures of economic growth
  • Commodity prices

22
Example Forecasting Tools
  • Monetary Indicators
  • Impact both inflation and liquidity
  • Federal Reserve policy
  • Differences in Interest Rates
  • The Treasury yield curve can sometimes give
    indications about future economic growth
  • Cyclical Economic Indicators
  • Tracking official leading economic indicators

23
Risks in Economic Forecasting
  • Dominated by group think
  • Always using consensus numbers ensures no better
    than average forecasts
  • Forecasts must be different (often) and yet still
    correct (usually) to create value
  • Many analysts are short-sighted
  • Lots of data can overwhelm us
  • Try to support a position
  • Over-reliance on expected normal changes
    without regard to the possibility of shocks

24
The internet
  • http//www.morganstanley.com
  • http//www.globalinsight.com
  • http//www.yardeni.com
  • http//www.whitehouse.gov/fsbr/esbr.html
  • http//www.federalreserve.gov
  • http//www.worldbankorg
  • http//www.phil.frb.org/econ/forecast/index.html
  • http//www.spglobal.com/index.html
  • http//www.bis.org/cbanks.htm
  • http//www.bankamerica.com/
  • http//www.nabe.org
  • http//www.conference-board.org
  • http//www.bea.doc.gov/bea/pubs.htm
  • http//www.stats.bls.gov
  • http//www.cbo.gov
  • http//www.whitehouse.gov/cea/
  • http//www.gpoaccess.gov/indicators/browse.html
  • http//www.census.gov/csd/qfr
  • http//www.federalreserve.gov/pubs/bulletin

25
Research
  • Economic Indicators vs. Cumulated returns
  • Economic Indicators versus PE
  • Economic Indicator classification
    http//biz.yahoo.com/c/e.html
Write a Comment
User Comments (0)
About PowerShow.com