Welcome to volume 2 of CSC baby chapter 13 fundamental and technical analysis chapter overview in this chapter you will learn how analysts use statistical market and industry information to value securities and make recommendations on their purchase or sale you will learn about two methods of analysis fundamental analysis and technical analysis there are four main areas of content methods of equity analysis fundamental macroeconomic analysis fundamental industry analysis, and technical analysis. All of the key terms and their definitions will be listed at the end of this chapter. Introduction A great deal of information is available to help investors and their advisors make investment decisions.
Resources include market and economic data, stock charts, industry and company characteristics, and a wealth of financial statistical data. All this information can add clarity and perspective to the investment making process. but the sheer amount can be overwhelming.
Fundamental and technical techniques for analysis are widely discussed in the financial press. However, their use and interpretation is often misunderstood. To make investment recommendations based on either type of analysis, you must have an understanding of how to interpret the results. For example, suppose you are considering an investment in the stock of a cyclical company, and you hear reports that an economic slowdown is imminent.
What does this information mean for the economy? What does it mean for the industry? and most pertinent to your decision, what effect will it have on the investment?
This chapter will give you the tools to answer those and other questions. Methods of Equity Analysis Two methods of analysis are used to evaluate equities, fundamental analysis and technical analysis. Fundamental analysis is a method of assessing the short, medium, and long-range prospects of different industries and companies to shed light on security prices.
Technical analysis is the study of historic stock prices and stock market behavior to predict future prices and behavior. Overview of fundamental analysis Fundamental analysis is a method of evaluating capital market conditions, economic conditions both domestic and global, industry conditions, and the condition of individual companies in an attempt to measure the intrinsic or fundamental value of a security. The ultimate goal is to compare the intrinsic value against a security's current price.
so that you can determine whether the security is overvalued or undervalued. Fundamental analysts study everything that can affect a security's value. Subjects under scrutiny include macroeconomic factors, such as the economic outlook for Canada's trading partners, and industrial factors, such as the growth stage of a particular industry. But by far the most important factor affecting a security's price is the actual or expected profitability of the issuer.
In this regard, fundamental analysts use profitability ratios to determine whether a company can properly service its debt and pay current dividends. Given the broad range of factors that can influence stock valuation, we examine fundamental analysis in this chapter from a macroeconomic and industry perspective. In chapter 14, we focus exclusively on company analysis and profitability ratios. Did you know? Our focus in this chapter is the use of fundamental analysis in valuing equities.
However, you can use this method to value most types of securities. For example, you could look at an economic forecast for the future direction of interest rates or the credit rating of an issuer to determine the value of a bond. Overview of Technical Analysis Technical analysis is a method of determining the future price direction of a security based on past price movements. Essentially, technical analysis attempt to understand the market sentiment behind the trend in a stock's price instead of its fundamental attributes.
They look for recurring patterns that allow them to predict future stock price movements. Technical analysis believe that by studying the price action of the market, they will have better insights into the emotions and psychology of investors. They contend that because most investors fail to learn from their mistakes, identifiable patterns exist. Despite these methods of analysis in times of uncertainty, investors may act irrationally under the influence of mass psychology. market news can cause investors to overreact and buy or sell quickly en masse, which causes price to rise or drop suddenly.
Sophisticated computerized trading strategies called program trading or high frequency trading can also have an unintended effect on market prices in a way that is unrelated to the expected earnings of the stocks or their historical price movements. Here's an example. The 2008 to 2009 subprime mortgage crisis caused extreme uncertainty among investors. As a result, Healthy stocks with proven long-term track records collapsed along with weaker stocks. By early 2009, the stock market fell by approximately 50% and did not return to its pre-crisis peak until 2013. In another example, in May 2010, the Dow Jones Industrial Average fell almost 600 points in less than 5 minutes, but rebounded within 20 minutes.
Some argue that the so-called flash crash was exacerbated by computerized high-frequency trading. Market Theories Three theories help to explain the behavior of stock markets, the Efficient Market Hypothesis, the Random Walk Theory, and the Rational Expectations Hypothesis. All three theories suggest that stock markets are efficient and that a stock's price is therefore the best available estimate of its true value.
Essentially, this implies investors cannot consistently beat the market. Table 13.1 describes the unique assumptions and conclusions of each theory. So the efficient market hypothesis assumes that profit-seeking investors in the marketplace react quickly to the release of information.
When new information about a stock appears, investors reassess the intrinsic value of the stock and adjust their estimation of its price accordingly. So the conclusion for this is, a stock's price fully reflects all available information and represents the best estimate of the stock's true value. The random walk theory. The assumptions here are, new information concerning a stock is decimated randomly over time. Price changes are therefore random and bear no relation to previous prices.
So the conclusion here, Past price changes contain no useful information because any developments affecting the company have already been reflected in the current price of the stock. Rational Expectations Hypothesis The assumption here, people are rational and have access to all necessary information. People use information intelligently in their own self-interest and make intelligent decisions after weighing all available information. The conclusion here, past mistakes can be avoided by using available information to anticipate change. Did you know?
If all investors reacted to new information in the same way and at the same time, no investor would be able to outperform others. In fact, however, some investors are sometimes able to consistently outperform index averages like the S&P TSX Composite Index. There are three variations of the efficient market hypothesis, weak, semi-strong, and strong.
Each variation assumes that a different amount of information is reflected in the prices of securities. The weak form assumes that all past market information is fully reflected in current prices. With this form, technical analysis is considered to have little or no value. The semi-strong form assumes that all publicly available information is fully reflected in current prices.
With this form, both fundamental analysis and technical analysis have little or no value. The strong form assumes that all information is fully reflected in current prices, including both publicly available and insider information. In other words, no single investor has information that provides an advantage over any other investor.
Many studies have been conducted over the years to test the three stock market theories. Some evidence supports the theories, whereas other evidence supports capital market inefficiencies. Those inefficiencies may occur for any of the following reasons.
New information is not available to everyone at the same time. Investors do not react in the same way to the same information. Not everyone can make accurate forecasts and correct valuation decisions.
Mass investor psychology and greed may at times cause investors to act irrationally. Did you know? Investors who believe in the efficient market hypothesis, particularly the strong form, favor a passive investment approach. They are likely to follow a buy-and-hold strategy or invest in market indexes and exchange-traded funds.
Investors who reject the hypothesis are likely to use a more active approach, which involves more buying and selling in an attempt to beat the stock market's average returns. Fundamental Macroeconomic Analysis The macroeconomic factors affecting investor expectations, and therefore the price of securities, can be grouped into three categories, fiscal policy, monetary policy, and inflation. Unpredictable events can affect the economy and the prices of securities either favorably or unfavorably. Such events might include international crises such as war, unexpected election results, regulatory changes, technological innovation, and debt defaults.
In addition, dramatic changes in the prices of important agricultural, metal, and energy commodities can affect the prices of securities. Many commodity price swings can be predicted by examining supply and demand conditions. Other price changes may not be easy to predict.
For example, the Organization of the Petroleum Exporting Countries, OPEC, coordinates production policies of its member countries, thereby affecting the price of oil. The fiscal policy impact The two most important tools of fiscal policy are government expenditure and taxation. These tools are important to market participants because they affect overall economic performance and influence the profitability of individual industries. Levels of expenditure and taxation are usually disclosed in federal and provincial budgets. Tax Changes By changing tax levels, governments can alter the spending power of individuals and businesses.
When governments increase sales or personal income tax levels, people have less disposable income, which curtails their spending. A reduction in tax levels has the opposite effect. Corporations are similarly affected by tax changes. Higher taxes on profits generally reduce the amount businesses can pay out in dividends or spend on expansion.
On the other hand, a reduction in corporate taxes gives companies an incentive to expand. Several factors limit the effectiveness of fiscal policy. One such factor is the lengthy time lag required to get parliamentary approval for tax legislation.
A lag also exists between the time fiscal action is taken and the time the action affects the economy. Government spending. Governments can affect aggregate spending in the economy by increasing or decreasing their own spending on goods, services, and capital programs. On the simplest level, an increase in government spending stimulates the economy in the short run, whereas a spending cutback has the opposite effect.
Conversely, tax increases lower consumer spending and business profitability. whereas tax cuts boost profits and common share prices. This type of expansionary fiscal policy of tax cuts and spending initiatives can help to spur the economy.
Governments can then target certain sectors of the economy with fiscal policy measures. For example, tax incentives to stimulate growth in housing or investment in technology industries. Fiscal policies can also be designed to achieve government policy goals. For example, the dividend tax credit and the exemption from tax of a portion of capital gains were designed to encourage greater share ownership of Canadian companies by Canadians. Savings by individuals are encouraged through measures such as registered retirement savings plans and tax-free savings accounts.
Such policies increase the available of cash for investments, thereby increasing the demand for securities. Government debt. Higher levels of government debt have a tendency to restrict both fiscal and monetary policy conditions. Fiscal and monetary decisions affect the overall level of interest rates, the rate of economic growth, and the rate of corporate profit growth. All these factors affect the valuation of stocks.
Did you know? High levels of government and consumer indebtedness impair the government's ability to reduce taxes or increase spending. For example, a government with a high level of debt will find it challenging to use an expansionary fiscal policy of increased spending.
because the spending will generally need to be financed by borrowing more, thus adding to the debt level and increasing overall interest payments on the outstanding debt. The monetary policy impact The primary role of the Bank of Canada, or the bank, is to promote Canada's economic and financial welfare, which it does through monetary policy. The bank achieves this by attempting to preserve the value of the Canadian dollar by keeping inflation low, stable, and predictable.
For example, during periods of economic expansion, demand for credit grows, in other words, bank loans for individuals and businesses, and the prices for goods and services generally rise, thus creating inflationary pressures. If the bank believes these pressures are having a negative impact, they can try to restrain the growth rate of money and credit by raising short-term interest rates. On the other hand, if the economy appears to be slowing down, the bank may increase the money supply and the availability of credit by reducing short-term interest rates.
Changes in monetary policy affect both interest rates and corporate profits, which are the two most important factors affecting the prices of securities. Monetary policy and the bond market. When economic growth begins to accelerate, bond yields tend to rise. If inflation begins to rise during an expansion, The bank most often raises short-term interest rates to slow economic growth and contain inflationary pressures.
This action may lead to a more moderate economic growth rate or even a growth recession, in other words, a temporary slowdown that does not become a full recession. Did you know? When the bank raises short-term rates to slow the rate of economic growth, a fall in long-term bond yields may result.
This effect signals that investors approve of the degree of economic slowdown. When short-term yields rise and long-term yields fall, the change in the yield curve is called a tilting of the yield curve. The process is generally as follows. As short-term interest rates rise, the rate at which bond yields increase slows down. Long-term bond yields continue to rise, but at a slower pace.
As the rise in short-term rates continues, economic growth usually slows. Long-term bond prices begin to stabilize and briefly fall below those of equities. Suddenly, with each short-term interest rate increase, long-term bond yields fall. Investors purchase long-term bonds under the assumption that a slower economic growth rate will alleviate the need for higher interest rates in the near future. The increased purchase of long-term bonds pushes their yields lower.
This drop in yield is crucial evidence for the analysts that bond market participants are satisfied with the slowing of the economy to a more sustainable level of growth. A decline in long-term rates reduces competition between equities and bonds. On the other hand, higher real bond yields over time increases the degree of competition between bonds and equities and slowly undermine equity markets.
The impact of inflation. Inflation creates widespread uncertainty and undermines confidence in the future. These factors tend to result in higher interest rates, lower corporate profits, and lower price earnings multiples. Inflation leads to higher inventory and labor costs for manufacturers. To maintain their profitability, manufacturers generally try to pass these higher costs on to consumers in the form of higher prices.
But higher costs cannot be passed on indefinitely. Buyers eventually resist. The resulting squeeze on corporate profits is reflected in lower common share prices.
Did you know? An inverse relationship exists between the rate of inflation and a corporation's price earnings multiples. When inflation rises, the value of future cash flows paid by the corporation will fall.
Therefore, if inflation is rising, an investor is more likely to pay a lower price for the earnings of the company. Note that we look at the concept of the price-to-earnings ratio in more detail in the next chapter. Fundamental Industry Analysis Industry and company profitability have more to do with the structure of the industry than with the products or services it sells.
Industry structure results from the strategies that companies pursue relative to their competition. Companies pursue the strategies they feel will give them a sustainable, competitive advantage and lead to long-term growth. Pricing strategies and company cost structures affect not just long-term growth, but also the volatility of sales and earnings.
For this reason, industry structure affects a company's stock valuation. Classifying Industries by Product or Service A natural way to classify an industry is by the product or service it produces. For example, the automobile industry comprises companies that manufactures cars. This common classification system is used by investment dealers to define the coverage universe of their equity analysts.
Standard & Poor's, S&P, and the Morgan Stanley Capital International, MSCI, two well-known providers of equity indexes, have developed a comprehensive industry and sector classification system known as the Global Industry Classification Standard, GICS. S&P and MSCI assign every company within their indexes to one of 158 sub-industries. Each sub-industry belongs to one of 69 industries that are apportioned into 24 industry groups and then into 11 sectors. Table 13-2 lists the 11 sectors and their 24 associated industry groups.
Note that some sectors have only one industry group. So, the first sector, Communication Services, has two industry groups, Telecommunication Services and Media and Entertainment. The next sector, Consumer Discretionary, has...
Four industry groups, automobiles and components, consumer durables and apparel, consumer services, and retailing. The next sector, consumer staples, has three industry groups, food and staples retailing, food, beverage and tobacco, household and personal products. The next sector, energy, has one industry groups, energy.
The sector of financials has three industry groups, banks, diversified financials, and insurance. The next sector, healthcare. has two industry groups, healthcare equipment and services, pharmaceuticals, biotechnology, and life sciences. The next sector, industrials, has three industry groups, capital goods, commercial and professional services, and transportation. The next sector, information technology, has three industry groups, software and services, technology hardware and equipment, semiconductors, and semiconductor equipment.
The next sector, materials, has one group, Materials. The sector real estate has one group real estate. The sector utilities has one group utilities. One problem with classifying an industry by the product or service it sells is that some companies operate in more than one industry.
For example, before Canadian Pacific Limited was broken up into several entities, its revenue came from hotels, shipping, and rail. It was a complex process for analysts to compare the company to any other company or analyze its growth potential. However, for companies that operate solely in one industry, analysis provides insight into their short-term behavior. For example, Barrick Gold Corporation is easily identified as a gold producer, and thus its classification has relevance. Classifying Industries by Life Cycle In theory, all industries exhibit a life cycle characterized by four stages.
Emerging growth, growth, maturity, and decline. However, the length of each stage varies from industry to industry and from company to company. Did you know? The entire railway industry life cycle in Canada from its beginnings to its present state of decline is more than 150 years.
In contrast, some high technology industries have gone through a complete life cycle in just a few years. Determining where an industry is in its life cycle is an important factor in the valuation process. Throughout that life cycle, sales volume at a company in the industry grows or declines.
Therefore, each stage in the cycle affects the relationship between the firm's pricing strategies and its unit cost structure. Emerging Growth Industries New industries are continually developed to provide products and services that meet society's changing needs and demands. These industries are known as emerging growth industries. Today, rapid innovation is particularly evident in software and hardware development in the computer industry. Emerging growth industries and companies within them tend to share certain financial characteristics.
Typically, they are unprofitable at first, although future prospects may be promising. Large startup investments may even lead to negative cash flows. It is sometimes impossible to predict which companies will ultimately survive in a new industry. Did you know? Emerging growth industries are not always directly accessible to equity investors, especially if privately owned companies dominate the industry, or if the new product or service is only one activity of a diversified corporation.
Growth industries. A growth industry is one in which sales and earnings are consistently expanding at a faster rate than in most other industries. Companies in these industries are called growth companies, and their common shares are called growth stocks.
A growth company should have an above-average rate of earnings on invested capital over a period of several years. The company should also be able to continue to achieve similar or better earnings on additional invested capital. It should show increasing sales in terms of both dollars and units, coupled with a firm control of costs.
During the growth period, companies that survive experience lower costs of production, increased competition, rising demand, and growth and profits. Cash flow may or may not remain negative. Growth stocks typically maintain above-average growth over several years, and growth is expected to continue.
These companies generally do not pay out large dividends because their growth is often financed through retained earnings. Growth companies therefore tend to exhibit high price-to-earnings ratios and low dividend yields. Did you know?
If the marketplace expects that future growth in a specific growth industry will not meet expectations, growth companies within that industry are likely to have an above-average risk of a price decline. Mature industries usually experience slower, more stable growth in sales and earnings that more closely matches the overall rate of economic growth. Both earnings and cash flow tend to be positive. Within the same industry, it is more difficult to identify differences in products between companies.
For this reason, price competition increases, profit margins usually fall, and some companies expand into new businesses with better growth prospects. During recessions, stable growth companies usually demonstrate a decline in earnings that is less than that of the average company. Companies in the mature stage usually have sufficient financial resources to weather difficult economic conditions.
Declining Industries As industries move from the mature stable to the declining stage, they tend to stop growing and begin to decline. Declining industries produce products for which demand has declined because of changes in technology, an inability to compete on price, or changes in consumer tastes. Cash flow may be large because there is no need to invest in new plant and equipment. At the same time, profits may be low.
Classifying Industries by Competitive Forces In his book, Competitive Strategy, Techniques for Analyzing Industries and Competitors, Michael Porter describes five basic competitive forces that determine the attractiveness of an industry. According to Porter, those five factors can drastically alter the future growth and valuation of companies within the industry. Table 13-3 outlines and describes Porter's five forces.
Number one, threat of new entry. The ease of entry for new competitors to that industry. Companies choose to enter an industry depending on the amount of capital required. opportunities to achieve economies of scale, the existence of established distribution channels, regulatory factors, and product differences.
Number two, competitive rivalry, the degree of competition between existing firms. This factor depends on the number of competitors, the relative strength, the rate of industry growth, and the extent to which products are unique, rather than simply ordinary commodities. 3. Threat of substitutes. The potential for pressure from substitute products.
Other industries may produce similar products that compete with the industry's products. 4. Bargaining power of buyers. The extent to which buyers of the product or service can put pressure on the company to lower prices. The degree of influence depends largely on buyers'sensitivity to price.
In the final analysis, companies can thrive only if they meet customers'needs. Therefore, profit margins can be large only if customers perceive enough value in the goods or services the companies provide, classifying industries by reaction to the economic cycle. Industries can be broadly classified according to how they react to the cyclical nature of the economy. Three typical classifications are cyclical, defensive, and speculative.
Cyclical industries. Few, if any, industries are immune from the adverse effects of an overall downturn in the business cycle. Thus, all industries are cyclical to a degree. However, the term cyclical industry is reserved for industries in which the effect on earnings is most pronounced. Most cyclical S&P TSX Composite Index companies are large international exporters of commodities such as lumber, base metals like copper and nickel, or oil.
These industries are sensitive to global economic conditions, swings in the prices of international commodities markets, and changes in the level of the Canadian dollar. When business conditions are improving, earnings tend to rise dramatically. In general, cyclical industries fall into three main groups. Commodity Basic Cyclical such as forest products, base metals and chemicals, industrial cyclical, such as transportation, capital goods and basic industries like steel and building materials, and consumer cyclical, such as merchandising and automobile industries. The energy and gold industries are also cyclical, but they tend to demonstrate slightly different patterns.
The rate of expansion or contraction in the US business cycle tends to significantly influence the profitability of cyclical Canadian companies. Exchange rates are an important secondary factor. Most cyclical industries benefit from a declining Canadian dollar because their exportable products become cheaper for international buyers. Defensive industries. Defensive industries have a relatively stable return on investor equity and tend to do relatively well during recessions.
The term blue chip denotes shares of top investment quality companies, which maintain earnings and dividends through good times and bad. This record usually reflects a dominant market position, strong internal financing, and effective management. Many investors consider shares of the major Canadian banks to be blue-chip industries. However, bank stock prices are typically sensitive to changes in interest rates.
As interest rates rise, banks must raise the rate they pay on deposits to attract funds. At the same time, a large part of the revenue is derived from mortgages with fixed interest rates. The result is a profit squeeze.
prices are particularly sensitive to changes in long bond yields. The shares of utility companies, gas, water, electricity, are also considered defensive blue-chip stocks given their ability to generate consistent earnings over most economic cycles. However, utility stocks that carry large amounts of debt tend to be sensitive to interest rates. Speculative industries.
All investment in common shares is speculative to some degree because of the risk of ever-changing stock market values. However, the term speculative industry usually applies to industries in which risk and uncertainty are unusually high because analysts lack definitive information. Shares in these companies are called speculative shares.
Emerging industries are often considered speculative. The profit potential of a new product or service attracts many new companies, and initial growth may be rapid. Inevitably, as the industry consolidates, many of the original participants are forced out of business, and a few companies emerge as the leaders. The success of these leaders in weathering the developmental period may result from better management, better financial planning, better products and services, or better marketing.
The term speculative can also describe any company, even a large one, whose shares are treated as speculative. For example, shares of growth companies can be bid up to high multiples of estimated earnings per share as investors anticipate continuing exceptional growth. If, for any reason, investors begin to doubt these expectations, the price of the stock will fall.
In such cases, investors are speculating on the likelihood of continuing future growth that may not materialize. Technical Analysis Technical analysis is the process of analyzing historical market action in an effort to determine probable future price trends. Technical analysts view the range of data studied by fundamental analysts as too massive and unmanageable to pinpoint price movements with any real precision.
Instead, they focus on the market itself, whether it is the commodity, equity, interest rate, or foreign exchange market. They study and plot on charts the past and present movements of prices, the volume of trading, and statistical indicators. In the case of equity markets, they track the number of stocks advancing and declining. The purpose of these activities is to identify recurrent and predictable patterns that can be used to predict future price moves. Market action includes three primary sources of information, price, volume, and time.
Technical analysis is based on the following three assumptions involving these sources of information. 1. All influences on market action are automatically accounted for or discounted in price activity. Technical analysts believe that all known market influences are fully reflected in market prices.
they believe that there is little advantage to be gained through fundamental analysis. All that is required is that you study the price action itself. By studying price action, technicians attempt to measure market sentiment and expectations.
In effect, the technical analysts believe that the market itself indicates the direction and the extent of its next price move. Number two, price moves in trends, and those trends tend to persist for relatively long periods of time. Given this assumption, The primary task of a technical analyst is to identify a trend in its early stages and carry positions in that direction until the trend reverses itself. 3. The future repeats the past Technical analysts believe that markets essentially reflect investor psychology and that the behavior of investors tends to repeat itself.
Investors tend to fluctuate between pessimism, fear, and panic on one side, and optimism, greed, and euphoria on the other side. By comparing current investor behavior as reflected, through market action with comparable historical market behavior, the analysts attempt to make predictions. Even if history does not repeat itself exactly, we can still learn a lot from the past, they believe. Comparing Technical Analysis to Fundamental Analysis In comparing technical analysis with fundamental analysis, remember that the demand and supply factors that technicians observe are the result of fundamental developments in a company's earnings.
The main difference between technical and fundamental analysis is the subject of study. The technical analysis studies the effects of supply and demand, which are reflected in price and volume. The fundamental analyst, on the other hand, studies the cause of price movements.
Both types of analysts might come to the same conclusion based on very different observations. Did you know? A fundamental analyst might suggest that a general and prolonged rising trend in equity prices, in other words, a bull market, will likely come to an end as a result of rising interest rates. A technical analyst, on the other hand, might predict that an upward trend is about to reverse based on the appearance of a certain chart formation. A study of fundamentals can give you a sense of the long-term price prospects for an asset, which might be the first step in making an investment decision.
However, at the point where you decide when and at what level to enter or leave a market, technical analysis can serve a vital role. Commonly used tools in technical analysis. Technical analysis use four methods to identify trends and possible trend turning points, either alone or in conjunction with each other.
Chart analysis, quantitative analysis, analysis of sentiment indicators, and cycle analysis. Chart analysis. Chart analysis is the analysis of graphic representation of relevant market data. Charts offer a visual sense of where the market has been, which helps analysts project where it might be going.
The most common type of chart is one that graphs the high, low, and close, or last trade, of a particular asset such as a stock, market average, or commodity. Activity may be tracked hourly, daily, weekly, monthly, or even yearly. This type of chart, called a bar chart, often displays the volume of trading at the bottom.
Figure 13-1 shows an example of a bar chart. Other price charts not discussed here include candlestick charts, line charts, and point and figure charts. Technical analysts use price charts to identify support levels and resistant levels, along with regular price patterns.
A support level is the bottom price of the trading range for a security. It is the price at which most investors sense value and are willing to buy the security. Therefore, demand begins to grow. Most existing holders, or potential short sellers, are unwilling to sell at this price. Therefore, supply is low.
As demand begins to exceed supply, prices tend to rise above support levels. A resistance level is the top price of the trading range, where most investors are willing to sell a security and most buyers are unwilling to buy it. At this point, supply exceeds demand and prices tend to fall.
Figure 13-2 illustrates support and resistance levels. The Euro index, for example, broke above the resistance level of 1.34 in January 2011, starting a new uptrend. This same price level, 1.34, proves to be key support in mid-February during a short-term pullback. Now, 138 was the new resistance line, but by March, that level 2 had been broken and acted afterwards as a support line.
Chart formations reflect market participant behavioral patterns that tend to repeat themselves. They can indicate either a trend reversal, a reversal pattern, or a pause in an existing trend, a continuation pattern. Reversal patterns are formations on charts that usually precede a sizable advance or decline in stock prices. There are many types of reversal patterns, but probably the most frequently observed pattern is the head and shoulders formation. This formation can occur at either a market top, where it is called a head and shoulders top formation, or at a market bottom, where it is called either an inverse head and shoulders or a head and shoulders bottom formation.
Figure 13-3 illustrates a bottom formation. As figure 13-3 indicates, the following actions take place. From A to B, a lengthy decline in price occurs. during which time the volume of shares traded can increase as decline steepens, although this may not necessarily occur.
From B to C, a minor recovery in price occurs, usually with no substantial increase in volume. From C to D, price declines again to D, often on increased volume, below the level of the left shoulder, which is B. From D to E, this secondary recovery may not consist of any significant increase in volume. From E to F, another decline occurs during which volume may or may not increase.
From F to G, further recovery occurs. The greater the symmetry of the right shoulder to the left shoulder, the greater the reliability of the pattern. The line joining the two recovery points in a head and shoulders formation is the neckline, point C to E in figure 13-3. The neckline can extend out to the right of the chart pattern.
The final step that confirms a reversal pattern is a price move that carries the stock either below the neckline on increased volume or above the neckline on increased volume. At that point we see either a downside breakout or an upside breakout. Figure 13-4 is an example of a downside breakout of a head and shoulders top formation in the S&P 500 index. The head and shoulders formation was confirmed on the break below the neckline from the right shoulder in August 2011. The market sold off severely on the break. Continuation patterns are pauses on price charts before the prevailing trend continues.
They typically appear in the form of sideways price movements. These patterns are quite normal and healthy in a trending market and are referred to as a consolidation of an existing trend. One continuation pattern, called a symmetrical triangle, is shown in figure 13-5.
In the figure 13-5 formation, the stock trades in a clearly defined area from C to B to A to B. during a period ranging from three weeks to six months or more. The triangle represents a fairly even struggle between buyers and sellers.
The buyers move into the stock at the bottom line, CB, and the sellers move out of the stock at the top line, AB. This activity repeats itself back and forth until one side proves stronger and the stock price breaks out of the triangle. Figure 13-6 illustrates a triangle that broke to the downside.
A symmetrical triangle formed over three weeks from October 26 to November 13, with a break to the downside on November 16. In most cases, a symmetrical triangle is just a pause in a bull or bear market trend. At times, however, it can indicate a reversal formation. There is no clear way to distinguish whether a triangle indicates a continuation or a reversal, so you must pay close attention to the direction of the breakout.
Quantitative Analysis Quantitative analysis is a form of technical analysis that relies on statistics and has thus been greatly enhanced by computer technology. One general category of quantitative analysis tools used to supplement chart analysis is the moving average. A moving average is simply a device for smoothing out fluctuating values in an individual stock or in the aggregate market as a whole. In doing so, either week to week or day to day, it shows long term trends.
By comparing current prices with the moving average line, you can see whether a change is signaled. A moving average is calculated by adding the closing price for a stock over a predetermined period and dividing the total by the number of days or weeks in the period selected. You can follow the same procedure with a market index.
The calculation for a 5-week moving average is shown in Table 13-4. We show a 5-week average for simplicity. Technical analysts commonly use a 40-week or 200-day moving average.
Based on the calculation in Table 13-4, An amount of $18.37 is plotted on a chart at the end of five weeks. Note that it takes at least five weeks of closing prices to calculate a five-week moving average. In the next week, the closing price from week one is then dropped, and a new five-week total is calculated for week six.
The average derived from the new total $18.75 is then plotted on the chart next to the previous average. If the overall trend has been down, the moving average line will generally be above the current individual prices as shown in figure 13.7. If the price breaks through the moving average line from below on heavy volume line A to B in figure 13.7 and if the moving average line itself starts to move higher, it means the declining trend has reversed.
In other words, it is a buy signal. If the overall trend has been up, the moving average line will generally be below the current individual prices as shown in figure 13.8. If the price breaks through the moving average line from above on heavy volume line c to d in figure 13.8. And if the moving average line itself starts to fall, it means that the upper trend has reversed.
In other words, it is a sell signal. Figure 13.9 demonstrates a 65 week moving average. The 65-week moving average provided support on several occasions throughout this chart.
Although the price of gold dipped below the moving average in late 2008, key support at around $700 held and the moving average itself remained in an upward trend. Sentiment Indicators Sentiment indicators are a measure of investor expectations. Contrarian investors use these indicators to determine what the majority of investors expect prices to do in the future so that they can move in the opposite direction.
The contrarian believes, for example, that if the vast majority of investors expect prices to rise, then there is probably not enough buying power left to push prices much higher. The concept is well proven, but sentiment indicators should only be used as evidence to support other technical indicators. A number of services measure the extent to which market participants are bullish or bearish. If, for example, one of these services indicates that 80% of those surveyed are bullish, it may mean that the market is overbought and that caution is warranted.
especially if other indicators provide similar evidence. Cycle analysis. The tools described above can help you forecast the market's probable direction and the probable extent of movement in that direction.
Cycle analysis, on the other hand, can help you forecast when the market will start moving in a particular direction and when it will ultimately reach its peak or trough. The theory of cycle analysis is based on the assumption that cyclical forces drive price movements in the marketplace. Cycles can last for periods as short as a few days or as long as decades.
There are four general categories of cycle lengths. Long-term, greater than two years. Seasonal, one year. Primary or intermediate, 9 to 26 weeks.
And trading, four weeks. Cycle analysis is complicated by the fact that at any given point a number of cycles may be operating. Cycle analysis is useful in identifying a time window when a market peak or trough is expected.
However, when it comes to trading, you must supplement cycle analysis with other technical tools, such as trend analysis and chart formations. These tools and formations help confirm that a turn has indeed taken place and that you should take action. Figure 1310 identifies a four-year market cycle, the 40-month or four-year cycle. Notice the various developments that occurred at the end of each 40-month period.
Here's our summary for chapter 13. In this chapter, we discussed the following key aspects of fundamental and technical analysis. Both fundamental and technical analysis are used to predict changes in the prices of securities. The difference is that technical analysts study the effects of supply and demand on prices, whereas fundamental analysts study the causes of price movements.
The efficient market hypothesis states that stock prices reflect all available information and thus represents true value. The random walk theory assumes that price changes are random and bear no relation to previous price changes. The rational expectations hypothesis assumes that people are rational and make intelligent economic decisions after weighing all available information.
Fundamental analysts study three categories of macroeconomic factors. Fiscal policy, monetary policy, and inflation. A change in any one of these factors requires a change in investment strategies. Three industry classifications are cyclical, defensive, and speculative.
Industries can be further classified by their stage in the life cycle. The four stages are emerging growth, growth, maturity, and decline. Competitive forces in an industry affect growth and risk levels, and therefore help determine stock values. Technical analysts chart past and present movements of security prices, volume of trading, and other statistical indicators to identify recurrent and predictable price patterns. Three key assumptions underlie technical analysts.
All market influences are reflected in price activity. Prices move in persistent trends. and the future repeats the past.
Key terms and definitions found in Chapter 13, Fundamental and Technical Analysis. Fundamental analysis. Security analysis based on fundamental facts about a company as revealed through its financial statements and an analysis of economic conditions that affect the company's business. Technical analysis. A method of market and security analysis that studies investor attitudes and psychology as revealed in charts of stock price movements and trading volumes to predict future price action.
Efficient market hypothesis. The theory that a stock's price reflects all available information and reflects its true value. Random walk theory.
The theory that stock price movements are random and bear no relationship to past movements. Rational expectations hypothesis. School of economic theory which argues that investors are rational thinkers and can make intelligent economic decisions after evaluating all available information. Emerging growth industries.
Brand new industries in the early stages of growth. often considered as speculative because they are introducing new products that may or may not be accepted and may face strong competition from other new entrants. Growth industry, an industry in which sales and earnings are consistently expanding at a faster rate than in most other industries. Mature industry, an industry that experiences slower, more stable growth rates in profit and revenue than growth or emerging industries, for example. Declining industry, an industry moving from the maturity stage It tends to grow at rates slower than the overall economy, or the growth rate actually begins to decline.
Economies of scale. An economic principle whereby the per unit cost of producing each unit of output falls as the volume of production increases. Typically, a company that achieves economies of scale lowers the average cost per unit through increased production since fixed costs are shared over an increased number of goods. Cyclical industry.
An industry that is particularly sensitive to swings in economic conditions. Cyclical industries tend to rise quickly when the economy does well and fall quickly when the economy contracts. Defensive industry.
An industry with a record of stable earnings and continuous dividend payments, and which has demonstrated relative stability in poor economic conditions. Blue chip. An active, leading, nationally known common stock with a record of continuous dividend payments and other strong investment qualities.
The implication is that the company is of good investment value. Speculative industry. Industries in which risk and uncertainty are unusually high because analysts lack definitive information.
Shares in these companies are called speculative shares. Chart analysis. The use of charts and patterns to forecast buy and sell decisions.
Support level. A price level at which a security stops falling because the number of investors willing to buy the security is greater than the number of investors wishing to sell the security. Resistance level.
The opposite of a support level. A price level at which the security begins to fall as the number of sellers exceeds the number of buyers of the security. Reversal patterns. Formations that usually precede a sizable advance or decline in stock prices.
Continuation pattern. A chart formation indicating that the current trend will continue. Head and shoulders formation.
A trend reversal pattern that can occur either at a market top, called a head and shoulders top formation, or at a market bottom. called an inverse head and shoulders or head and shoulders bottom formation. The formation consists of a shoulder, a head, and a second shoulder and the breaking of a neckline.
Neckline, the line joining the two recovery points in a head and shoulders formation. The breaking of a neckline, either a downside breakout or upside breakout, accompanied by increased volume may be considered confirmation of a change in trend. Quantitative analysis, a form of technical analysis that relies on statistics to construct indicators and has thus been greatly enhanced by computer technology. Moving average.
The average of security or commodity prices calculated by adding the closing prices for the underlying security over a predetermined period and dividing the total by the time period selected. Sentiment indicators. Measure investor expectations or the mood of the market.
These indicators measure how bullish or bearish investors are. Contrarian investors. use sentiment indicators to determine what most investors expect prices to do in the future so they can move in the opposite direction. Cycle analysis, used to forecast when the market will start moving in a particular direction and when it will ultimately reach its peak or trough. The theory of cycle analysis is based on the assumption that cyclical forces drive price movements in the marketplace.