Bibliographic record
Abstract
"Brilliant."— Time "By far the most important investment book in years."— Bloomberg Money "A book that belongs on every investor's bookshelf."—MSN.com An essential and authoritative account of a century of investment returns in sixteen countries—the U.S., the U.K., Japan, France, Germany, Canada, Italy, Spain, Switzerland, Australia, the Netherlands, Sweden, Belgium, Ireland, Denmark, and South Africa Investors have too often extrapolated from recent experience. In the 1950s, who but the most rampant optimist would have dreamt that over the next fifty years the real return on equities would be 9% per year? Yet this is what happened in the U.S. stock market. The optimists triumphed. However, as Don Marquis observed, an optimist is someone who never had much experience. In Triumph of the Optimists , renowned investment authorities Elroy Dimson, Paul Marsh, and Mike Staunton extend our experience across regions and across time. They present a comprehensive and consistent analysis of investment returns for equities, bonds, bills, currencies, and inflation, spanning sixteen countries, from the end of the nineteenth century to the beginning of the twenty-first. This is achieved in a clear and simple way, with over 130 color diagrams that make comparison easy. Crucially, the authors analyze total returns, including reinvested income. They show that some historical indexes overstate long-term performance because they are contaminated by survivorship bias and that long-term stock returns are in most countries seriously overestimated, due to a focus on periods that with hindsight are known to have been successful. The book also provides the first comprehensive evidence on the long-term equity risk premium—the reward for bearing the risk of common stocks. The authors reveal whether the United States and United Kingdom have had unusually high stock market returns compared to other countries. The book covers the U.S., the U.K., Japan, France, Germany, Canada, Italy, Spain, Switzerland, Australia, the Netherlands, Sweden, Belgium, Ireland, Denmark, and South Africa. Triumph of the Optimists is required reading for investment professionals, financial economists, and investors. It will be the definitive reference in the field and consulted for years to come.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".