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Fire Your Stock Analyst: Analyzing Stocks On Your Own

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Fire Your Stock Analyst: Analyzing Stocks On Your Own


  • Sorry, this book is no longer in print.
Not for Sale


  • Copyright 2003
  • Edition: 1st
  • Book
  • ISBN-10: 0-13-035332-9
  • ISBN-13: 978-0-13-035332-0

In Fire Your Stock Analyst!, San Francisco Chronicle investment columnist Harry Domash presents a start-to-finish approach to stock selection that draws on winning techniques from the world's top money managers, uses readily available information, and is easy to implement. Learn how to select stocks based on value, growth, and momentum strategies; assess valuation, profitability, risk, business plans, management, and upside/downside potential; decide when to sell; and much more. You'll find everything you need to become a more successful - and self-reliant - investor!

Sample Content

Online Sample Chapter

A Process for Analyzing Stocks on Your Own

Downloadable Sample Chapter

Click here for a sample chapter for this book: 0130353329.pdf

Table of Contents




The Analysis Process.

Finding Candidates. Analyzing Stocks. Quick Prequalify. Detailed Analysis. When to Sell. Summary.

Evaluating Risk.

Market Valuation. Market Direction. Spotting Strong Industries in a Weak Market. Company-Specific Risks. Company-Specific Risks Described in Subsequent Chapters. Summary.


Quicken Growth Screen. Quicken Value Screen. “MSN Money” Down & Out Value Stock Finder. Multex Investor Bulletproof Stocks. The Zen of Screening. Premade Screens. Summary.


Analysis Tool #1: Analyzing Analysts' Data.

Who Are the Analysts? Analysts' Ratings. “Sell” Is a Four-Letter Word. Consensus Ratings. Do Strong Buys Outperform Sells? Number of Analysts. Sentiment Index. Analysts' Estimates. Forecast EPS Trend. Earnings Surprise. Sales Forecasts. Regulation FD. Research Reports. Summary.

Analysis Tool #2: Valuation.

Implied Growth. Growth at a Reasonable Price. Dividends. Summary.

Analysis Tool #3: Establishing Target Prices.

The Process. Cisco Systems. Summary. The Business.

Analysis Tool #4: Industry Analysis.

Industry Growth Outlook. Industry Concentration. Picking Winners in an Emerging Fragmented Industry. Industry Scuttlebutt. Summary.

Analysis Tool #5: Business Plan Analysis.

Introduction. Overblown Competitive Advantages. Business Plan Score Scorecard. Summary. Key Executive and Board Quality.

Analysis Tool # 6: Management Quality.

Clean Accounting. Earnings Growth Stability. Stock Ownership. Summary. Financial Fitness Counts.

Analysis Tool #7: Financial Fitness Evaluator.

Pinpointing Financially Challenged Companies. Simplify the Problem. Low Debt. Detecting Potential Busted Cash Burners. Detailed Fiscal Fitness Exam. Bond Ratings. Use Bond Risk Premiums to Identify Risky Debtors. Summary.

Analysis Tool #8: Profitability Analysis.

Where Do Earnings Come From? Analyzing Sales (Revenue) History. Analyzing Margins. Gross Margin. Operating Margin. Net Profit Margin. Comparing Margins. Gross Margins. Operating Margins. Analyzing Margins. High vs. Low Margins. Analyzing Overhead Expenses. Profitability Ratios. Return on Equity. Return on Capital. Return on Assets. Marginal Return on Assets. Cash Flow Analysis. Working Capital Changes. Cash Tells the Story. Dubious Allocations. Using Operating Cash Flow. Free Cash Flow. Quarterly Cash Flow Reports. EBITDA vs. Operating Cash Flow. Free EBITDA. Summary.

Analysis Tool #9: Detecting Red Flags.

Sales Growth Trends. Accounts Receivables & Inventories. Inventory Analysis. Statement of Cash Flows. Pension Plan Income. Yellow Flags. Summary.

Institutional Ownership.

Institutional Percentage of Shares Outstanding. Step 10: Ownership Considerations. Insider Ownership. Float. Insider Holdings. Summary.


Tool # 11: Price Charts. Moving Averages. Avoid Downtrends. The Risk Zone. Chart Types. Trading Volume. Summary.


Quick Prequalify.

Company Overview. Snapshot Report. Valuation Ratios. Highlights Report. Ratio Comparison. Check the Buzz. Summary.

Value Investing: The Process.

Cycles. Normalizing. Value Analysis Process. Step 1: Analysts' Ratings & Forecasts. Step 2: Valuation. Step 3: Target Price Ranges. Step 4: Industry Analysis. Step 5: Business Plan Analysis. Step 6: Management Quality. Step 7: Financial Health. Step 8: Profitability Analysis. Step 9: Red Flags. Step 10: Ownership. Step 11: Charts. When to Sell. Summary.

Growth Investing: The Process.

Growth Candidates. The Process. Step 1: Analysts' Ratings & Forecasts. Step 2: Valuation. Step 3: Target Prices. Step 4: Industry Analysis. Step 5: Business Plan Analysis. Step 6: Management Quality. Step 7: Financial Health. Step 8: Profitability. Step 9: Red Flags. Step 10: Ownership. Step 11: Price Chart. Summary.

When to Sell.



Earnings Reports & Conference Calls.

Reported Earnings. Summary.

Detecting Scams, Frauds, and Pump & Dump.

Opportunity Knocks. Shoestring Operation. Hyping Pays Well. Quick Hype Checks. Summary.

How to Read Financial Statements.

Income Statement. Balance Sheet. Statement of Cash Flows. Finding the Data. Pro Forma Accounting vs. GAAP. Analysis Scorecards. Value Stock Analysis Scorecard. Summary.

Growth Stock Analysis Scorecard.





"Not everything that can be counted counts, and not everything that counts can be counted."

—Albert Einstein

This is a book about analyzing stocks.

The process of writing this book turned out to be a huge educational experience for me. I thought that I knew something about the subject when I started. After all, I'd been teaching it, writing about it, and doing it for years.

I had pored over scores of investing how-to books by famous and not so famous gurus and studied their teachings. I meticulously researched how I would have fared if I had followed their strategies in the past. Based on their work, I synthesized and tested my own strategies.

In the process of researching this book I interviewed 15 professional money managers and market analysts. I had never met any of them when I started. I found some because they managed best-in-class mutual funds with solid long-term market-beating performance records. Others were market analysts or private money managers practicing innovative strategies that I'd heard about from other professionals or through their own writings. About half of those I contacted graciously agreed to talk to me.

In truth, I may have misled them. They probably thought I was writing one of those books that features a single guru per chapter, a sort of minibiography describing their childhood, working style, office environment, as well as their investing methods.

I didn't do any of that. I focused our conversations on just three areas: (1) how do they identify investment candidates, (2) how do they analyze them, and (3) how do they decide when to sell.

I had interviewed money managers before, but not at that level, and not in this context. It was an on-the-job learning experience, and I flubbed the first couple, in terms of asking the right questions. But after a while, I got the hang of it.

Interviewing a money manager is a lot different from reading a book they've written, or hearing them speak. For starters, you don't have to go over the same ground if you've already read their works, or heard descriptions of their methods. Instead, you can zero in on the details, asking questions like: How do you define overvalued? How do you identify good management? How do you pinpoint an industry's strongest player? What are your sell signals?

Often the conversations took me to unexpected places. For instance, I was unaware of Porter's Five Forces Model before Nicholas Gerber gently brought it to my attention (by the time Ken Shea mentioned it a week or so later, I responded as though it were old hat). The Porter model inspired the business plan evaluation strategy that became Tool #5.

Some interviews led me to academic research that I'd always assumed was just too, well, academic, to be of interest. That's how I discovered the work of University of Chicago Business School professor Joseph Piotroski, whose research inspired the fiscal health exam featured in Chapter 10.

Perhaps my biggest surprise concerned value investing. I could never figure it out before. I'd read the books packed with data proving that low P/E stocks outperform glamour stocks, but I could never make it work. The turkey's P/Es just kept getting lower after I bought them. After interviewing several money managers, it hit me that what they did bore little resemblance to what I'd read about value investing. They weren't buying low P/E stocks. They were buying great companies that had stumbled! There's a world of difference between those two approaches.

The wealth of information that these market experts and researchers so kindly shared with me forms the basis for what follows. But being an ungrateful sort, I didn't give them their deserved recognition by describing each of their strategies separately. Rather, I distilled them into the combined analysis tools and strategies that make up this book.

Who Should Read this Book

This is not a get-rich-easy kind of book. There are no magic formulas revealed. I wrote it for people who know that making money in the stock market takes more than running a screen or watching CNBC. I wrote this book for investors willing to put in the time and effort it takes to find and research profitable stock investments.

What's in this Book

I've read many investing books filled with great concepts and strategies that left me feeling unfulfilled, because they didn't tell me how to put those wonderful ideas into practice. This book describes practical step-by-step strategies for finding, researching, and evaluating investment candidates. Equally important, it also tells you when to sell.

I describe two step-by-step strategies, one for growth stocks, and the other for value investors. Some experts advise that both are, in fact, similar strategies. While it's true that you can have a value-priced growth stock, the two analyses processes are very different. When value investors are selling, growth investors are buying. So it's unlikely that the value and growth investors would own the same stock at the same time. While the two strategies are different, they draw on a common set of analysis tools.

What's Different?

This isn't a rehash of conventional wisdom and familiar strategies. The methods described make use of information readily available to anyone connected to the Internet, but in new ways, including:

How to Gauge the Risk of Owning a Specific Stock

In the past, investors hrelied mostly on past performance to determine the risk of owning a stock. But in the end, stocks move in response to changes in a company's earnings prospects. A price chart shows you history; analyzing fundamentals can help you see the future. You'll discover how to use those fundamentals to evaluate the risks specific to each stock.

Analyzing the Analysts

Recent events demonstrate that you can't depend on analysts' recommendations to make money in the market. But there's still much to be learned from their ratings and forecasts.

What a Stock's Valuation Tells You

Knowing the expectations implied in a stock's valuation tells you much about the rewards versus risks of owning the stock.

How to Set Target Prices

Something that the pros always do, but nobody ever told you.

Industry Analysis

Has your candidate picked a market worth pursuing? If so, are you riding the winning horse?

Business Plan Analysis

Is your candidate more like Wal-Mart or Kmart? Analyzing its business plan will help you find out.

Financial Fitness Evaluator

Bankruptcies are bad news for stockholders, but nobody ever told you how to find out if your stock is a bankruptcy candidate.

How to Use Sale Forecasts

Analysts' consensus sales forecasts have only recently become available. Here's how to use them to identify companies likely to come up short at earnings report time.

Analyze Profitability

Profitability is more than earnings per share. Here's how to find out if your candidate is really making money.

Detect Accounting Shenanigans

Some executives will do whatever it takes to meet earnings forecasts. Here's how to find out if they're cooking the books to do it.

When to Sell

Specific rules for selling, depending on whether you're a growth or value investor.

Notes on Examples

Most of the examples used to illustrate the recommended analyses strategies draw on data that was available on a particular historical date. However, many of the strategies developed out of interviews and research conducted specifically for the book. Consequently, the examples demonstrate what could have been done, but not necessarily what I did on those dates.

Many examples compare annual operating characteristics of firms that have different fiscal year-end dates. For the sake of clarity, I used the closest calendar year for the comparisons. For instance, if one company's fiscal year ended November 30, 1999, and another on January 31, 2000, I labeled the annual data for both as calendar year 1999. So while the figures shown may be technically inaccurate, they're close enough to support the point made by the examples.

Accounting Shortcuts

Certain accounting formulas such as return on assets call for determining the average asset totals over the course of a year. Instead, I use the year-end figures because you can pick them directly off of the balance sheet instead of having to calculate them. Consistently applying such shortcuts simplifies the calculations and won't materially affect your results.

Frequently Mentioned Websites

These Websites are the primary resources necessary to implement the

analysis described in this book. Most are referenced in throughout the book, so I've listed their Web addresses (URLs) here rather than everywhere that they appear.

The addresses of additional Websites required only for specific analysis strategies are included where they're referenced.

Free Edgar (www.freeedgar.com): All firms' SEC reports are posted on the SEC's own EDGAR database (www.sec.gov), but most reports are lengthy and it's difficult to locate specific information. Free Edgar and a number of other sites provide a table of contents for most reports so than you can locate and download specific sections such as the management's discussion, the statement of cash flows, and so forth. Most of these sites require a subscription, however Free Edgar, as the name implies, as of May 2002, was still free.

Hoover's (www.hoovers.com): A good source for an easy to understand company description, and best of all, a usually accurate list of a firm's top three competitors.

Morningstar (www.morningstar.com): Morningstar's Financials report saves you the trouble of computing trailing 12 months' operating cash flow, a data item required in the Busted Cash Burner analysis (Chapter 10). Morningstar's Stock Valuation report listing historical price/earnings, price/sale, price/book and price/cash flow ratios for the trailing twelve months as well as each of the past five years is also unique.

CNBC on MSN Money (money.msn.com): One of only two sites I've found that provides detailed financial statement data in user friendly format. MSN Money's 10-Year Financial Summary reports are the mainstay of the target price strategy (Chapter 6). MSN Money is the only site I've found that lists EBITDA, a data item required to assess financial strength (Chapter 10), on its income statements.

Multex Investor (www.multexinvestor.com): In my view, the best source for viewing financial statements. Multex's statements are updated faster, are more accurate, and provide more detail than any other source I've found. Multex's powerful Ratio Comparison report enables you to compare a company's valuation ratios, performance measures, and much more, to its market sector, industry, and to all the firms making up the S&P 500 Index.

Yahoo (quote.yahoo.com): My favorite resource for analysts' buy/sell ratings and forecasts because it's the only site I've found that show you analysts' sales (revenue) forecasts. Yahoo's insider trading report is easy to interpret and is the only such report I know of that lists trades going back two years. While you're there, click on Roster to see the names of all insiders, another data item that I haven't found elsewhere.


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