Ap Index of Geomagnetic Activity and S&P 500 Returns | Lifang Peng et al.

Existing research provides strong evidence that geomagnetic activity impacts stock investment decisions by influencing human health, mood, and behavior. Using monthly geomagnetic indices and US stock market indices from the past 20 years, we found compelling evidence supporting a causal relationship between geomagnetic activity and stock market returns.

 

High AP Index, low stock market performance—really?

Sunspot Number and Ap Index 2018 into 2032 (NASA, updated December 5, 2024).

 

The results were robust, indicating that higher geomagnetic activity, which often corresponds with intense solar activity, is inversely related to stock market performance. In other words, when geomagnetic activity was higher, the stock market tended to perform worse.

Reference:
Lifang Peng, Ning Li, Jingwen Pan (2019) - Effect of Ap Index of Geomagnetic Activity on S&P 500 Stock Market Return.

 

S&P 500 (daily candles) vs Ap Index. 

 The semiannual variation of geomagnetic activity is linked to the interaction between the solar wind and Earth's tilted magnetic field, which typically causes increased geomagnetic disturbances around the equinoxes and lower activity around the solstices.

 

 See also:
Vladimir Belkin (2024) - Strong Inverse Correlation between Ap Index and Gold Price. 

Vladimir Belkin (2024) - 2025-2027 Oil Price Decline Linked to Solar Cycle Activity.

Anna Krivelyova and Cesare Robotti (2003) - Playing the Field: Geomagnetic Storms and the Stock Market.

2025-2027 Oil Price Decline Linked to Solar Cycle Activity | Vladimir Belkin

This study of solar-terrestrial relationships compares the years of the solar cycle based on Wolf sunspot numbers and the arithmetic averages of crude oil prices from 1970 to 2023 (solar cycles 20-25), all presented in a single chart. Mean annual Wolf numbers were sourced from the Solar Influences Data Analysis Center (SIDC), while Brent crude oil price data (adjusted to 2021 dollars) was obtained from BP and the Federal Reserve Economic Data website for 2022-2023.

Order of years in solar cycles and crude oil prices for the period 1970-2023.

Very strong correlation (coefficient 0.9908)

 

Using this data, the above diagram was created to illustrate the very strong correlation (coefficient 0.9908) between crude oil prices and the ordinal years of the solar cycles for the period 1970-2023.

 

 Polynomial function of oil price and year number in solar cycle for 1861–2019.

Very strong correlation (coefficient 0.9897)

Since 2024 marks the fifth year of the current Solar Cycle #25, it corresponds to an average forecast Brent oil price of $74.18 per barrel. In 2025, the sixth year of the cycle, the projected price is $56.04. In 2026, the seventh year of the cycle, the forecast is $43.84, while the anticipated price for 2027 is $42.84.

 

Reference: 

Vladimir Belkin (October 1, 2024) - Oil Price Decline in 2025-2027. 

 

See also:
Vladimir Belkin (2020) - Oil Prices and Solar Activity: Evidence of Strong Ties (1861–2019). 

Lu Qiyuan (2024) - Scott Bessent's Covert MAGA Strategy for Trump 2.0.

Mikhail Gorbanev (2017) - Solar Activity and Economic Recessions. 

Sunspot Number 2018 into 2032 (NASA, updated December 5, 2024).

 

 SIDC 12-month ahead predictions of the monthly smoothed Sunspot Number.

The US Is Now Ready for Violence, Civil War & Secession | Martin Armstrong

This will probably be the last election in the United States, for we will most likely split into three regional governments. [...] There is no question that post-election violence will be extreme. Whenever you have this winner-takes-all system and political corruption unfolds, the LEFT is not seeking to govern the nation; they are seeking to oppress all opponents.

 

 » The United States will most likely split into three regional governments. «

 

[...] Democracies are supposed to be where people have the right to vote. The Democrats were denied the right even to select their candidate. This is tyranny, for Kamala was merely installed. [...] Typically, governments go into civil wars when there is a conflict that is culturally/ethnically, religiously, or racially driven, and we are now checking that box and just waiting for the election. We will face a rigged and contested election that neither side will accept. When there is no confidence in the government anymore, the ONLY resolution is always violence. History confirms this prognostication. How can there be such fantastic polls for Kamala, who never won a single delegate during the 2020 primary, and we look at the only real independent poll organization that shows confidence in Congress down to 7%?

 » No question that post-election violence will be extreme. «

It does not matter who wins. This election will NEVER be accepted, and it certainly will NOT unify the country. The Democratic Convention threw Trump’s name out 329 times. It was just a hate fest. That will ensure violence. The LEFT will never accept a Trump victory – NO WAY!!!!! There is no belief that this election will be free and fair. The United States has declined into this dangerous characteristic that warns the country is far too divided to stand. I am concerned that the dollar may decline FOR THIS REASON. I want to think that reform is possible. Unfortunately, history tells us that when an empire, nation, country, or city-state is this divided, REFORM becomes possible only AFTER violence.  

 

Quoted from:
Martin A. Armstrong (August 30, 2024) - Can the Dollar Survive a Civil War?

 

See also:
The Alex Jones Show (August 30, 2024) - Martin Armstrong Warns 2024 Will
Probably Be The Last U.S. Election. (video)

 

» The most important historical events occur in the 3-year period around sunspot maximums. «
Alexander Chizhevsky — 1924

» The most important European revolutions of the XIX and XX century overlapped closely
with the sunspot maximums. «
Mikhail Gorbanev — 2016

Migrant Gangs Taking Control of US Cities. — August 30, 2024

See also:
Martin A. Armstrong (June 6, 2024) - The Five Stages of the Revolutionary Cycle.

L. David Linsky (October 24, 2023) - War and Regime Change soon in the US.

Mikhail Gorbanev (2016) - Solar Activity and Economic Recessions.

 Serge Bernard (2016) - From Conquest to Affluence to Collapse: The 250 Year Empire Life Cycle.

Maurice Cotterell (2001) - Sunspots and the Rise and Fall of Civilizations.

Alexander Chizhevsky (1924) - Physical Factors of the Historical Process.

The 500 Year Cycle | Raymond H. Wheeler

The 1000 year cycle tends to break down into halves of about 500 years each. Centering on the dates of 375 BC, 30 AD, 460 AD, 955 AD, and 1475 AD, climate was dry and colder than usual. The warm periods were short and were often disrupted by drops in temperature. Midway between these dates, the warm periods stretched out; the interruptions were not as long, and the cold periods shortened. The result is an intermediate cycle averaging 510 years in length.

 

 

 » Mass migrations were extensive, and all the ancient civilizations collapsed. «

Vandals sacking Rome, 455 AD.

The beginning of the first of these 500-year rhythms marks an important place in the history of climate. Prior to 575 BC, climatic cycles were longer and more extreme than they have been since then. In the two centuries immediately following, from 450 ta 320 BC, it was warm much of the time. Two 100-year cycles were almost fused into one. The cold period between them, at 420 BC, was very short. After that, the cold periods lengthened. By the end of this 500-year period, at the time of Christ, there was an exceptionally long cold period.

The cold phase centering on 460 AD, at the end of the next 500-year cycle, was also exceptionally cold. Mass migrations were extensive, and all the ancient civilizations collapsed. There was a long-term downward trend in rainfall. Although there were long cold phases in the 600s and 700s, they were frequently interrupted by silts to the warm side and did not seem to be exceptionally bad. The cold phases of the 800s and 900s were extremely severe, causing many migrations, primarily from the northern countries — especially when conditions began to deteriorate approaching 955, near the end of the 500-year rhythm.

 

 » Civilizations broke up and new ones took their places. «

 Migrants storming European Union borders, 2024 AD.

Subsequently, temperatures warmed suddenly. The 1000s were so warm that trees grew in Greenland. This was the period when Vikings crossed the Atlantic, One of the most severe hot droughts in history occurred in the 1130s. The 13th century saw a long warm period. Then climate began to deteriorate again. While the 14th century was warm much of the time, there were frequent and sharp drops in temperature; often it was very stormy. During several winters, the straits between Denmark and Sweden froze over solid enough to support horses and sleds, Greenland began to freeze. In the 15th century, there was no long warm period.

The next 500-year rhythm terminated at 1475. Subsequently, temperatures warmed up again. The 17th century was so warm that the next 100-year cycle had but a short cold phase, centering on 1655, and this was quickly interrupted by a shift back to the warm side. During the 19th and 20th centuries, climate deteriorated again.

 

» The 500 year period beginning at 1475 is drawing to a close. «

 Migrants breaching US southern border, 2024 AD.

Climate change? Sure.

Events of great importance occur every 500 years. Midway between 575 BC and 460 AD, the Roman Empire began its decline as Christianity rose. There were no strong European civilizations for a long time. On the other hand, there were very strong Asiatic empires such as that of the Huns. Midway between 460 and 1475, in the 9th and 10th centuries, a vast change occurred, again involving mass migrations, These events divided the Middle Ages into two halves. In the first half, there were brilliant empires like those of Justinian with its capital at Constantinople, Charlemagne in the West, and the Arabs in the East. The Arabs moved into Spain and India, developing brilliant civilizations at Cordoba and Bagdad. But all this came to an end. These civilizations broke up and new ones took their places. Following 975, the feudal period developed, with the growth of principalities that were to form modern European states. Amazing empires were built by the Mongols in Asia, the Incas in South America, and the Mayas in Central America. In India and Japan, new empires were born. The Balkans achieved their Golden Ages during this period.

All this came to an end in the 15th century. The Medieval economy, customs, and modes of thought disappeared. With the new 500-year climatic cycle came the Renaissance, the Reformation, and the building of modern nations — first under absolute monarchs, then under constitutional governments. This most recent 500-year cycle has witnessed the awakening of modern art, science, and economics. In these more advanced civilizations, the common people have, for the first time in history, come into their own under democratic political and economic systems.

 » The same types of events occurr with almost clock-like regularity. «

The 500 year period beginning at 1475 is drawing to a close. We are now witnessing many of the same types of events that have occurred under similar circumstances with almost clock-like regularity five times before in history. These events are of the utmost significance for the businessman and student of today — and tomorrow.

 

Quoted from:

Raymond H. Wheeler (1943) - The 500 Year Cycle. 

In: Michael G. Zahorchak (Ed. 1983) - Climate, the Key to Understanding Business Cycles: 

With a Forecast of Trends Into the 21st Century.

 

  » A 500-year cycle is now terminating, which belonged to Europe.
The next 500-year cycle will belong to Asia. «
Raymond H. Wheeler, 1951.

See also:
Raymond H. Wheeler (1943) - The 100 Year Cycle - Climate, Regime Change and War.
Donald A. Bradley (1943) - Cycles Write World History.

Peter Temple (2017) - The Wheel of Time. Raymond H. Wheeler's Drought Clock.

The Poetry of Logical Ideas | M.A. Vukcevic

» Mathematics is the poetry of logical ideas, it is the silent language of reason. «

M.A. Vukcevic

 2012

Sunspot Cycle Length vs Temperature Anomaly │ Jasper Kirkby

The sunspot cycle length as a measure of the Sun's activity:
Variation during the period 1861 - 1989 of the sunspot cycle length (solid curve)
and the temperature anomaly of the Northern Hemisphere (dashed curve).
The temperature data from the IPCC.

Jasper Kirkby (1998) - The sunspot cycle length averages 11 years but has varied from 7 to 17 years, with shorter cycle lengths corresponding to a more magnetically-active Sun. A remarkably close agreement was found between the sunspot cycle length and the change in land temperature of the Northern Hemisphere in the period between 1861 and 1989 [update HERE]. The land temperature of the Northern Hemisphere was used to avoid the lag by several years of air temperatures over the oceans, due to their large heat capacity. This figure covers the period during which greenhouse gas emissions are presumed to have caused a global warming of about 0.6°C. Two features are of particular note: firstly the dip between 1945 and 1970, which cannot be explained by the steadily rising greenhouse gas emissions but seems well-matched to a decrease in the Sun's activity, and secondly the close correspondence between the two curves over this entire period, which would seem to leave little room for an additional greenhouse gas effect.

[...] The observation that warm weather seems to coincide with high sunspot counts and cool weather with low sunspot counts was made as long ago as two hundred years by the astronomer William Herschel who noticed that the price of wheat in England was lower when there were many sunspots, and higher when there were few. See also HERE  

Data: SILSO Royal Observatory of Belgium.

Sunspots and the Price of Corn and Wheat | William Stanley Jevons

William Stanley Jevons (1835–1882)

William Stanley Jevons (1835–1882) was a British economist and philosopher who foreshadowed several developments of the 20th century. He is one of the main contributors to the ‘marginal revolution’, which revolutionized economic theory and shifted classical to neoclassical economics. He was the first economist to construct index numbers, and he had a tremendous influence on the development of empirical methods and the use of statistics and econometrics in the social sciences. Jevons also analyzed business cycles, proposing that crises in the economy might not be random events, but might be based on discernible prior causes. To clarify the concept, he presented a statistical study relating business cycles with sunspots.

Daniel Kuester & Charles R. Britton (2000) - William Stanley Jevons summarized his thoughts on the effects of weather on economic activity in three chapters of his book Investigations in Currency and Finance (1909). An in-depth examination of these essays reveals some very interesting conclusions. In the first essay entitled “The Solar Period and the Price of Corn” (1875) he first investigates the striking similarity between the length of many historical business cycles and the length of the average length of the sunspot cycle. Jevons finds that the prices of most agricultural products vary dramatically over an eleven year cycle. He cites English agricultural price data from the years 1259-1400. The prices of wheat, barley, oats, beans, peas, and rye reach a relative minimum in the second year of the cycle, an absolute maximum in the fourth year of the cycle and an absolute minimum in the tenth year of the cycle before recovering in the final year of the cycle and the first year of the new cycle. There does appear to be a rather obvious and consistent trend in prices over these eleven year periods. Jevons discovers that the data (English wheat prices from 1595-1761) available to him in the Adam Smith’s The Wealth of Nations (1776) confirm similar although less marked trends in agricultural prices.

Jevons does not discount other significant factors that might cause the rather predictable nature of these business cycles. Technological advancements, wars, and other factors independent of agricultural and weather cycles can and do exhibit great influence over the economic well being of a nation. Also consumer confidence or a lack thereof could cause significant variations in spending and employment. However, Jevons believes that these consumer attitudes may also be related to the sunspot theory and the corresponding droughts and bumper crops which may result. “If, then the English money market is naturally fitted to swing or roll in periods of ten or eleven years, comparatively slight variations in the goodness of harvests repeated at like intervals would suffice to produce those alterations of depression, activity, excitement and collapse which undoubtedly recur in well- marked succession.” Jevons believes that if it were possible to accurately predict the sunspot cycle and the corresponding bumper crops and droughts then it would also be possible to predict impending economic crises.

In the second essay “The Periodicity of Commercial Crisis and Its Physical Explanation” (1878) with “Postscript” (1882) W.S. Jevons continues his study. In this essay he attempts to find empirical evidence to support his claim that business cycles follow predictable patterns which can be tied to the length of the sunspot cycles. Jevons claims that the relationship between weather patterns and business activity display a stronger relationship in primarily agrarian societies such as India and Africa. This claim makes this subject more meaningful in studying the relationship between weather patterns and economic activity in arid and semi- arid lands.

One piece of empirical evidence which W.S. Jevons believed would strengthen his sunspot business cycle theory actually has weakened this theory somewhat in retrospect. “There is more or less evidence that trade reached a maximum of activity in or about the years 1701, 1711, 1721, 1732, 1742, 1753, 1763, 1772, 1783, 1793, 1805, 1815, 1825, 1837, 1847, 1857, 1866. These years marked by the bursting of a commercial panic or not, are as nearly as I can judge, corresponding years, and the intervals, vary only form nine to twelve years. There being in all an interval of one hundred and sixty five years, broken into sixteen periods, the average length of the period is about 10.3 years.” Jevons points out that it is reasonable for the business cycles to vary somewhat in duration as it is reasonable to expect that there will be different lags between droughts and economic downturns based on inventories available and on the variations in trade patterns and ability to obtain imports quickly.

Potentially the most troubling conclusion that Jevons reached was that a sunspot cycle and the corresponding changes in agricultural yield and national productivity would follow a predictable pattern of approximately 10.3 years. Most astronomers now believe that the sunspot cycle does indeed last approximately 11.11 years which is somewhat troubling and is something that Jevons’ son attempts to address. This potential difference in sunspot duration is a primary reason this subject has not been studied as much as might be expected. However the findings of García-Mata and Shaffner provide some credence to Jevons’ theory. “Summing up, we can say that from a statistical point of view there appears to be a clear correlation between the major cycles of non-agricultural business activity in the United States and the solar cycle of 11+ years.” These authors also claim that it is reasonable that there could be some variation in the duration between sunspot cycles and that there is evidence that these cycles do correspond with business activity.

Christopher Scheiner's 1626 representation of the changes in sunspots over time (1630, recordings
from 1611). Scheiner, a Jesuit astronomer, eventually published the definitive work of the 17th
century on sunspots, in which he accepted Galileo’s argument that sunspots "move like ships" on
the surface of the Sun. Scheiner and Galileo agreed that sunspots counted against the Aristotelian
doctrine of celestial incorruptibility. Earlier Jesuits had been open on this point. Clavius argued
for the corruptibility of the heavens after the nova of 1572. Scheiner here publicized the fact that
the Jesuit theologian Robert Bellarmine had argued for the igneous nature of the stars and the
corruptibility of the heavens even before 1572 on the basis of biblical exegesis and the tradition
of the Church Fathers. Cardinal Orsini paid for the printing of this lavish work (Rosa Ursina - The
Rose of Orsini, 1630).

The third essay on sunspots and the business cycle was entitled “Commercial Crisis and Sun-Spots Part I” (1878) and “Part II” (1879) completed W. S. Jevons thoughts on the relationship of weather and business activity. In this essay he continues to discuss the existence of a solar cycle of 10.45 years as being wholly consistent with his findings and being a better predictor of economic variables than the now widely used duration of 11.11 years. Despite this potentially unfortunate conclusion Jevons elaborates on the potential relationship between solar and weather cycles and economic activity. He concludes that solar patterns should be studied to determine if a causal relationship does indeed exist between solar patterns and economic activity. If so, then policies should be enacted to reduce the magnitude of the contraction/recession parts of the business cycle. Jevons further elaborates on the importance of the solar cycle on consumer confidence and spending. “From that sun which is truly ‘of this great world both eye and soul’ we derive our strength and our weakness, our success and our failure, our elation in commercial mania, and our despondency and ruin in commercial collapse.” Jevons also finds more empirical evidence that corn prices in Delhi reach maximum and minimum in a similar eleven year pattern which has been exhibited in Europe. Once more this theory seems much more applicably to arid and semi-arid regions such as India.

Sunspot illustration from Scheiner's Rosa Ursina, 1630.

William Stanley Jevons’ son H. Stanley Jevons continued his work on sunspots and published “Changes at the Sun’s Heat as the Cause of Fluctuations of the Activity of Trade and of Unemployment” in Contemporary Review in 1909. He reissued it in a monograph entitled The Sun’s Heat and Trade Activity (1910) in which he further examined and elaborated on the subject. H. S. Jevons believed that his father had some excellent ideas in relating the sunspot theory to the length of business cycles although he does acknowledge some of the criticisms which have been leveled at the work W.S. Jevons did. He states that the sun’s activity has some effect on economic outcomes and while it is not the only variable which should be considered when formulating economic policy it is worth considering when formulating economic policy.

H.S. Jevons acknowledges that his father was in error when he claimed that he solar cycle would only last approximately 10.45 years. He claims that W.S. Jevons attempted to oversimplify his findings and he ignored some events which created economic booms and busts which had nothing to do with arid land’s agricultural productivity. This is what led him to the false 10.45 year business cycle predictor. However he found that wheat production in the United States displayed significant variation during the nineteenth century and reached its peak approximately every 11.11 years. He found a direct relationship between solar activity and wheat production in the United States. H.S. Jevons believes that the eleven year sunspot cycle is actually a combination of three shorter sunspot cycles which were just over three years in duration. There would be a period of drought approximately every 3.5 years and a period of cold damp weather approximately every 3.5 years. This great harvest would precipitate a trade boom according to Jevons. He finds data that suggest the production of pig iron and agricultural produce in the United States were closely related and followed the sunspot cycle closely. He also states that on occasion the business cycle will only correspond with two of these shorter sunspot cycles explaining the variation in business cycles between seven and eleven years. This can explain the error that W.S. Jevons did not understand about the variation in the length of business cycles. H.S. Jevons provides several suggestions as to how this information about solar activity can be useful. He believes that if output and therefore trade can be expected to decline in the near future that there should be wage cuts to attempt to ensure full employment. This suggestion is not reasonable today but if we are going to engage in interventionary fiscal and monetary policy the potential to predict shortfalls in productivity and potentially consumer confidence can have meaningful implications for expansionary monetary policies being enacted. This is particularly useful if there are actual psychological ties between solar activity and consumer’s attitudes which sounds far fetched but may occur. Jevons also recommends less domestic reliance on crops would reduce the variation in economic prosperity. While crop production is still important in many arid and semi-arid lands, this is not as meaningful to the economy as it was when Jevons wrote.

Sunspots - The Real Cause of Higher Grain Prices | Tom McClellan

Tom McClellan (Jul 27, 2012) - Sunspots are a big driver for wheat prices. Various pundits are putting out stories blaming the drought in the plains states on global warming [...] A better explanation for the drought, and the ensuing spike in grain prices, is that this is all part of the normal 11-year sunspot cycle. But to find that relationship in the data is what the story is about. The first point to understand is that sunspot activity has now been scientifically linked to changes in cloud formation. When the sun is more active, the charge particles streaming out from sunspot activity help to sweep away cosmic rays that might otherwise hit earth's atmosphere, where they play a role in cloud formation [... | HERE + HERE] Once you get past that more difficult scientific hurdle of understanding that cosmic rays and clouds are related, it is pretty easy to understand that less cloud formation is related to less precipitation, and thus poorer growing conditions for rain-irrigated crops. That is what we are seeing with this year's drought, and it has been pushing up grain prices accordingly. Looking across the last hundred years of price data on wheat, it can be difficult to see the relationship between the sunspot number and wheat prices. Part of this comes from the fact that there are other factors which sometimes act upon crop yields and thus grain pricing. But a big factor is that the units we use to measure wheat prices, i.e. US dollars, can vary themselves, causing the relationship with sunspots to sometimes be disguised by what the dollar itself is doing. 



If we look at the history of these two sets of data before the modern era of floating currency exchange rates, we can better see how they were correlated. This chart shows raw wheat prices, un-adjusted for the value of the dollar. The sunspot number data is shifted forward by 2 years to reveal that bottoms and tops in the sunspot number tend to be followed a couple of years later by bottoms and tops in wheat prices. This relationship got into some trouble in the middle part of the chart, when President Roosevelt's New Deal price fixing artificially inflated wheat prices. The intention in the 1930s was to benefit farmers by keeping wheat prices up. That effort switched during WWII to the government putting a cap on all prices, including wheat, to support the war effort. Rationing of food, fuel, and other items took over for market forces. Additional trouble came in the 1970s, when the Arab Oil Embargo pushed up oil prices in 1973-74, reducing acreage under cultivation. Then later in that decade, the rising value in the dollar pushed down the dollar price of most commodities compared to prices in other currencies. So using dollars to see the normal cyclical relationship in price data became problematic.

All of this explanation brings us (finally!) back to the lead chart above. In [the above] chart, I have adjusted the dollar price of wheat, multiplying it by the US Dollar Index, which was created back in 1971. This mathematical step produces a unit-less measure of the value of wheat by factoring out the dollar's movements. Doing this allows us to better see how the peaks and troughs in wheat prices have been related to the sunspot cycle. I want to emphasize again that the sunspot number is shifted forward in that chart by 2 years, to reveal its leading indication for how wheat prices will behave. The conclusion from this is that the upward move in the value of wheat right now is just following the swoop upward in the sunspot number that began in 2009. We should expect to see generally rising prices for wheat and other grains until about 2 years after the sunspot cycle has peaked, a peak which has not even happened yet.

On the Insignificance of Herschel’s Sunspot Correlation | Jeffrey J. Love

William Herschel started to examine the correlation of solar variation and solar cycle and climate. Over a period of 40 years (1779–1818), Herschel had regularly observed sunspots and their variations in number, form and size. Most of his observations took place in a period of low solar activity, the Dalton minimum, when sunspots were relatively few in number. This was one of the reasons why Herschel was not able to identify the standard 11-year period in solar activity. Herschel compared his observations with the series of wheat prices published by Adam Smith in The Wealth of Nations.In 1801, Herschel reported his findings to the Royal Society and indicated five prolonged periods of few sunspots correlated with the price of wheat. Herschel's study was ridiculed by some of his contemporaries but did initiate further attempts to find a correlation. Later in the 19th century, William Stanley Jevons proposed the 11-year cycle with Herschel's basic idea of a correlation between the low amount of sunspots and lower yields explaining recurring booms and slumps in the economy. Herschel's speculation on a connection between sunspots and regional climate, using the market price of wheat as a proxy, continues to be cited. However, according to a study of Jeffrey J. Love of the USGS the evaluation is controversial and the significance of the correlation is doubted:

Jeffrey J. Love (Aug 27, 2013) - Our finding is that Herschel’s hypothesis is statistically insignificant [...] All of the data Herschel discussed in his 1801 paper were collected prior to 1717, during the Maunder Minimum and long before his paper was published. His identification of five durations of time with few sunspots and inflated wheat prices and five other durations that might have had sunspots and which had deflated prices [Herschel, 1801, pp. 313-316] would be an unlikely realization of binary statistics, but it is not clear whether or not Herschel was inspired to state his hypothesis after inspection of these data. Having said this, Herschel acknowledged that predictions based on his hypothesis “ought not be relied on by any one, with more confidence than the arguments ... may appear to deserve” [Herschel, 1801, p. 318]. Today, we have considerably more data than were available to Herschel; these were collected both before and after he stated his hypothesis, and they can be used for both retrospective and prospective testing.  For  London wheat  prices  both before 1801 and, separately, after 1802, binary significance probabilities and Pearson correlations and their effective probabilities are [...] indicative of statistical significance. While solar irradiance may affect global climate, from our analysis of data of the type considered by Herschel, we conclude that historical wheat prices are not demonstrably useful for inferring past sunspot numbers, and, conversely, sunspot numbers are not demonstrably useful for predicting future wheat prices.

The Effect of Sunspot Activity on the Stock Market | Charles J. Collins

Charles J. Collins (1965) - Solar phenomena have been a source of scientific interest and investigation since Sir William Herschel, in 1801,found a correlation between sunspot activity and terrestrial phenomena [...] Modern science is giving considerable attention to solar phenomena in relation to disruption of the earth's magnetic field, to human health, and to weather, including rainfall, temperature, and cyclone frequency. The security analyst's interest is more directly concerned with the directly concerned with the effect of solar phenomena on business, and on speculation as evidenced by the ebb and flow of prices over our stock exchanges [This paper points] out one simple correlation of solar-stock market movements that will, fortunately, come to another test within the two or three years ahead. This is an apparent relationship between a recurrent phase of each sunspot cycle and an important stock market peak. The matter is of interest at this time for the reason that considerable attention is being given by students of the stock market as to when the broad advance that has been under way for a number of years is to reach a terminal point. This sunspot correlation, as discussed below, may throw some light on the subject. Briefly stated: It appears that an important market peak has been witnessed or directly anticipated when, in the course of each new sunspot cycle, the yearly mean of observed sunspot numbers has climbed above 50.

[...] Over the 94-year period under review, there were seven completed sunspot cycles, and it appears that an eighth was completed and a new cycle was started in 1964.During these eight cycles, not onlywas an important stock market peak concurrently witnessed (1881, 1892, 1916, 1936,1946, 1956)or directly anticipated (1906, 1929) by the above-50 count in sunspots, but, in four instances (1881, 1916, 1929, 1936), the designated peaks also marked the extreme or secular peaks for the entire sunspot cycle. The year 1890 seems an exception. In May of that year, the stock index reached its high of 5.62. In August 1892, the 5.62 level was again attained and, as concerns the yearly mean of the monthly stock indexes, the year 1892 peaked at 5.55, as compared with 5.27 for the year 1890 [...] In other words, in six instances, important stock market peaks and the sunspot climb above 50 came the same year, the two exceptions being 1906 and 1929. As to the 1906 exception, it will be noted, from the monthly range stock market chart, that the market peaked in January of that year, with December 1905 not far behind the January 1906 peak.

From a study of stock market history in relation to solar phenomena, a second theorem may be adduced: In each solar cycle, the largest stock market decline, in terms of percentage drop, comes after the sunspot number, on an annual basis, has climbed above 50. In the light of the foregoing observation, the 94 years of sunspot activity under review seems to occupy a rather narrow latitude for dogmatism. Thus, the preceding remarks should not betaken as a definitive prognosis of pending stock market behavior. Instead, they present a rather interesting correlation that has existed for a period of years between sunspot activity and major market peaks. Ergo, since the solar cycle is now at a point germane to this correlation, it seems worthwhile to present the previous relationship and await events, not without interest, of course, but mostly in the spirit of an enquiring attitude.

Originally printed in Financial Analysts Journal, November-December 1965; reprinted in Cycles Magazine in March 1966, and again in Cycles Magazine, Vol. 40, No. 3, September/October 1989]; editor's postscript of the 1989 reprint: "It is interesting to note the relation between above-50 crossingsand the stock market since 1965. In July 1966, the mean sunspot number moved above 50. The stock market shortly thereafter plunged in a major correction. In January 1978, the mean sunspot number again went above 50. The stock market, which had been in a downtrend, continued into a bottom after this date. In October 1987, the mean sunspot number went well above 50 to 60.~ and the 1987 crash followed. The mean sunspot number will next rise above 50 in about 1998."

The Sunspot Cycle and Stocks | Robert R. Prechter, Jr. and Peter Kendall

Robert R. Prechter, Jr. and Peter Kendall (2000) - Some effects from solar radiation are well documented. Sunspots disrupt satellite systems, radio transmissions and electric power grids. In the realm of mass human activity, the sun’s role has been a source of speculation since the dawn of civilization. In 1926, Professor A. C. Tchijevsky traced the sunspot activity back through 500 B.C. and found that it produced nine waves of human excitability per century. “As sunspot activity approaches maximum,” Tchijevsky found, “the number of mass historical events taken as whole increases.” [...] the Wave Principle and unconscious human herding behavior as a function of the human limbic system, which is the gatekeeper of emotion within the human brain. However, the limbic system is not necessarily independent of outside forces. As the radiating center of our solar system and the wellspring of practically all the energy on the planet, the sun is certainly an intriguing contender for some degree of external mass mental influence.

Why does the stock market typically peak before sunspots do? One very plausible explanation is that the collective tendency to speculate peaks out along with the rate of change in sunspot activity. If sunspots affect humans’ positive-mood excitability, that appears to be the point of maximum effect. When we explored this possible explanation, we found something additionally interesting. 

The figure above shows that as the solar radiation thrown off by the sun increases to a maximum rate (shown by our optimized 39-month rate of change in sunspot numbers), the human urge to speculate in general hits a fever pitch. Two months after the rate-of-change peak in 1916, the stock market established an all-time high that was not materially exceeded until the sunspot count was accelerating again in the mid-1920s. The next rate-of-change peak in October 1926 preceded the final stock market high by a full three years, but the speculative fever that accompanied the Florida land boom ended almost coincidentally, about two months earlier. The next peak was a double top that finished in February 1937, one month before a major stock market high. In 1947 and 1967, the rate of change peaked within 13 months of major stock peaks. In 1957, the peak coincided with with the all-time high in the advance-decline line, which stands to this day. The September 1979 peak was four months before a century-long high in precious metals prices. The August 1989 peak accompanied the all-time high in the Nikkei and the end of a big real estate boom in California and Japan. Since scientists’ grasp of the sunspot cycle is based on empirical observation rather than an understanding of what causes it, there is no way to verify that a rising rate of sunspot activity is behind these outbreaks. However, the speculative fall-off in the wake of every peak since 1916 is itself strong evidence of an effect. The latest peak rate of change came in December 1999, and that sets up a test. Will this peak in sunspots mark the end of the greatest mania in the history of the stock market? 

"Lower sunspot cycle maximums portend the largest bear markets."

 

 

"Shortly before a sunspot cycle hits bottom, stocks turn up." [Chart HERE]