Top World Stocks – 140 Global ‘Baggers’: A must-have for those looking to gain valuable insights into the world’s leading companies
TOP WORLD STOCKS
HOWARD BELCHER AND ANIL BAKAYA
It’s been 10 years since the global financial crisis ushered in the Great Recession but world stock markets just keep on keeping on. There is nevertheless a nagging level of anxiety. Have we merely kicked the can of financial reform just a few years down the road? How far away is the next debt-fuelled recession? What should stock market investors do to protect themselves and even profit from events?
Using content normally available only to institutional investor clients of the global news and data distributors, this book opens up a world of investment research and information. Top World Stocks will help investors prepare themselves for troubling uncertainties ahead. It is, nevertheless, not a stock picking service and is not offered as a forecasting model. Rather, it’s published as an aid in a process that should help careful investors and their advisers set up and maintain a portfolio of stocks comprising those designed to seize opportunities, those more of a defensive nature and others that just keep ploughing ahead despite the ups and downs of the markets.
The book reviews 100 leading global “bagger” stocks and 20 extra similar stocks of interest from each of Asia and Australia/New Zealand for a total of 140 stocks. No stock appears in more than one grouping.
Authors Howard Belcher and Anil Bakaya have more than 40 years’ experience together and have developed a globally-oriented independent research house with major clients including global aggregators Thomson Reuters, Dow Jones and Lexis Nexis.
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Margin of Error
The margin of error to be allowed for in any estimate depends mainly on the number of interviews on which it is based. Margin of error gives indications of the likely range within which estimates would be 95% likely to fall, expressed as the number of percentage points above or below the actual estimate. Allowance for design effects (such as stratification and weighting) should be made as appropriate.
| Sample Size | Percentage Estimate |
| 40% – 60% | 25% or 75% | 10% or 90% | 5% or 95% | |
| 1,000 | ±3.0 | ±2.7 | ±1.9 | ±1.3 |
| 5,000 | ±1.4 | ±1.2 | ±0.8 | ±0.6 |
| 7,500 | ±1.1 | ±1.0 | ±0.7 | ±0.5 |
| 10,000 | ±1.0 | ±0.9 | ±0.6 | ±0.4 |
| 20,000 | ±0.7 | ±0.6 | ±0.4 | ±0.3 |
| 50,000 | ±0.4 | ±0.4 | ±0.3 | ±0.2 |
