In one sentence — Hurst overlays major events on the 1949–1968 Dow and observes that the cycles he drew do not appear to suffer a unique interruption. This is a retrospective reading of selected cases, not proof that wars, crises, or news are irrelevant to prices.
Does news move the market according to Hurst?
In Chapter 9 of The Profit Magic of Stock Transaction Timing, Hurst places the Dow Jones Industrial Average, his measured cycle durations, and the dates of wars, devaluations, and political crises on one chart. His question is direct: with the labels removed, would the events produce turns recognisable from price alone?
The author's answer is no for his chosen cases. He infers that historical events have negligible influence on the aggregate market's systematic motion. This is Hurst's conclusion, not a general conclusion already demonstrated.
The cases observed in the book
Wars
Hurst reads the Korean War inside a cycle sequence of about 52 months and describes the Vietnam period as another stretch in which that cycle family continues. What the figure shows is continuity in the lines drawn by the author; it does not estimate the Dow's path without the wars.
Devaluations
For the 1949 devaluations and the pound's 1967 devaluation, Hurst notes that the marked cycles were already under way. In the second case the Dow had started to fall before the announcement. An earlier move is compatible with several explanations, including the gradual arrival of information; by itself it does not identify a cyclic cause.
Political crises
Eisenhower's heart attack, the break between the United States and Cuba, and Kennedy's assassination are placed near points that Hurst interprets as phases already expected by his framework. The Kennedy case includes an immediate, short reaction followed by continuation of the broader movement. It shows that an instantaneous effect and a long-run path can differ; it does not show that the first effect was zero.
The book's scan dates the cycle around the Eisenhower episode to “late 1963”. The event's chronology and Fig. IX-2 itself indicate 1953, so this entry treats “1963” as a source typo.
What the comparison does not measure
A chart with overlaid dates does not establish a counterfactual—the path the market would have followed without the event. Nor does it define a uniform time window, an expected return, or an abnormal return relative to that baseline.
Event-study methodology formalises these steps: identify the event, set the event window, estimate expected behaviour, and measure the observed deviation. Fig. IX-2 does not perform that test. It is a historical illustration and an internal check of the model, not independent validation of Hurst's thesis.
Selection also matters. The book discusses episodes consistent with the argument, but does not give a complete rule for including all comparable events or a statistical test over the full set. A persuasive fit in hindsight may still depend on the chosen dates, components, and turning points.
Aggregate index and individual security
Hurst's stated scope is the market as a whole. An aggregate index can dampen specific moves because it combines many companies and industries. News may therefore have a large effect on one security, currency, or sector without causing an equally visible break in the Dow.
The lesson is consequently not “ignore the news”. It is to separate three questions: what changed immediately, which movement was already under way, and which observation would falsify the cyclic reading.
GNP and the Dow's underlying line
Hurst acknowledges that cycles do not explain all the Dow's growth from about 160 in 1949 to more than 1,000 in the 1960s. In Fig. IX-3 he overlays U.S. gross national product, or GNP, on the index's centre line and observes a close visual correlation.
The book already states the correct limit: correlation does not imply causation. GNP may influence the market, the market may anticipate economic activity, both may respond to common causes, or the resemblance may depend on scale and sample. The modern GNP series is also revised; replicating the figure requires a historical data vintage and declared transformations.
A rigorous use of the lesson
News alone neither validates nor invalidates a cyclic model. Before an event, define the scenario, window, baseline, and error threshold; afterwards, distinguish the immediate reaction, volatility, liquidity, and subsequent path. If the rule is adapted only after seeing the chart, the case explains the past but does not test a forecast.
The useful position lies between two shortcuts: do not attribute every move automatically to the headline, but do not turn the absence of an obvious break into proof that the event had no effect.
Sources
- J. M. Hurst, The Profit Magic of Stock Transaction Timing, Prentice-Hall, 1970, Chapter 9, pp. 147–151, Figs. IX-2 and IX-3 — historical cases, annotated cycles, and the GNP–Dow comparison.
- Google Books bibliographic record for the 1970 Prentice-Hall edition.
- A. Craig MacKinlay, “Event Studies in Economics and Finance”, Journal of Economic Literature, 35(1), 1997, pp. 13–39 — event-study structure and principal complications.
- U.S. Bureau of Economic Analysis, Gross National Product, quarterly series distributed by FRED — modern series source, with data subject to revision.
Connections
- Why prices change according to Hurst — Chapter 9's decision framework
- Nominal cycles — labels and duration variation
- Cyclic X motivation — the residual hypothesised by the author
- DJIA spectral decomposition — the subsequent internal demonstration
- Hurst tradition — complete historical path