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[[Technical analysis]] uses most of the anomalies to extract information on future price movements from historical data. Technical analysis also takes market sentiment into account.<ref>{{cite journal |id={{ProQuest|2902518543}} |last1=Subbalakshmi |first1=M |title=Equity Analysis of Selected Indian Automobile Companies |journal=IUP Journal of Management Research |volume=22 |issue=4 |date=October 2023 |pages=22–37 }}</ref> But some economists, for example [[Eugene Fama]], argue that most of these patterns occur accidentally, rather than as a result of irrational or inefficient behavior of investors: the huge amount of data available to researchers for analysis allegedly causes the fluctuations.
[[Technical analysis]] uses most of the anomalies to extract information on future price movements from historical data. Technical analysis also takes market sentiment into account.<ref>{{cite journal |id={{ProQuest|2902518543}} |last1=Subbalakshmi |first1=M |title=Equity Analysis of Selected Indian Automobile Companies |journal=IUP Journal of Management Research |volume=22 |issue=4 |date=October 2023 |pages=22–37 }}</ref> But some economists, for example [[Eugene Fama]], argue that most of these patterns occur accidentally, rather than as a result of irrational or inefficient behavior of investors: the huge amount of data available to researchers for analysis allegedly causes the fluctuations.


Another school of thought, [[behavioral finance]], attributes non-randomness to investors' cognitive and emotional biases. This can be contrasted with [[fundamental analysis]].
Another school of thought, [[behavioral finance]], attributes non-randomness to investors' cognitive and emotional biases. This can be contrasted with [[fundamental analysis]]. Fundamental analysis involves analyzing companies financial statements.<ref>https://www.investopedia.com/terms/f/fundamentalanalysis.asp</ref>


When viewed over long periods, the share price is related to expectations of future earnings and dividends of the firm.<ref name="EhrhardtBrigham2010">{{cite book |last1=Ehrhardt |first1=Michael C. |last2=Brigham |first2=Eugene F. |title=Corporate Finance |date=2010 |publisher=Cengage Learning |isbn=978-1-4390-7808-2 |page=278 |url=https://books.google.com/books?id=TzzCQtoR6XIC&pg=PA278 }}</ref> Over short periods, especially for younger or smaller firms, the relationship between share price and dividends can be quite unmatched.
When viewed over long periods, the share price is related to expectations of future earnings and dividends of the firm.<ref name="EhrhardtBrigham2010">{{cite book |last1=Ehrhardt |first1=Michael C. |last2=Brigham |first2=Eugene F. |title=Corporate Finance |date=2010 |publisher=Cengage Learning |isbn=978-1-4390-7808-2 |page=278 |url=https://books.google.com/books?id=TzzCQtoR6XIC&pg=PA278 }}</ref> Over short periods, especially for younger or smaller firms, the relationship between share price and dividends can be quite unmatched.


==Share prices in the United States==
==Share prices in the United States==

Revision as of 13:31, 8 August 2024

Share Prices in a Korean Newspaper

A share price is the price of a single share of a number of saleable equity shares of a company. In layman's terms, the stock price is the highest amount someone is willing to pay for the stock, or the lowest amount that it can be bought for.

Behaviour of share prices

In economics and financial theory, analysts use random walk techniques to model behavior of asset prices, in particular share prices of companies publicly listed. This practice has its basis in the presumption that investors act rationally and without biases, and that at any moment they estimate the value of an asset based on future expectations. Under these conditions, all existing information affects the price, which changes only when new information comes out. By definition, new information appears randomly and influences the asset price randomly.

Empirical studies have demonstrated that prices do not completely follow random walks.[1] Low serial correlations (around 0.05) exist in the short term, and slightly stronger correlations over the longer term. Their sign and the strength depend on a variety of factors.

Researchers have found that some of the biggest price deviations from random walks result from seasonal and temporal patterns. In particular, returns in January significantly exceed those in other months (January effect) and on Mondays stock prices go down more than on any other day. Observers have noted these effects in many different markets for more than half a century, but without succeeding in giving a completely satisfactory explanation for their persistence.

Technical analysis uses most of the anomalies to extract information on future price movements from historical data. Technical analysis also takes market sentiment into account.[2] But some economists, for example Eugene Fama, argue that most of these patterns occur accidentally, rather than as a result of irrational or inefficient behavior of investors: the huge amount of data available to researchers for analysis allegedly causes the fluctuations.

Another school of thought, behavioral finance, attributes non-randomness to investors' cognitive and emotional biases. This can be contrasted with fundamental analysis. Fundamental analysis involves analyzing companies financial statements.[3]

When viewed over long periods, the share price is related to expectations of future earnings and dividends of the firm.[4] Over short periods, especially for younger or smaller firms, the relationship between share price and dividends can be quite unmatched.

Share prices in the United States

Many U.S.-based companies seek to keep their share price (also called stock price) low, partly based on "round lot" trading (multiples of 100 shares). A corporation can adjust its stock price by a stock split, substituting a quantity of shares at one price for a different number of shares at an adjusted price where the value of shares x price remains equivalent. (For example, 500 shares at $32 may become 1000 shares at $16.) Many major firms like to keep their price in the $25 to $75 price range.

A US share must be priced at $1 or more to be covered by NASDAQ. If the share price falls below that level, the stock is "delisted" and becomes an OTC (over the counter stock). A stock must have a price of $1 or more for 10 consecutive trading days during each month to remain listed.

Most expensive shares

The highest share prices on the NYSE have been those of Berkshire Hathaway class A, trading at over $625,000/share (in February 2024). Berkshire Hathaway has refused to split its stock and make it more affordable to retail investors, as they want to attract shareholders with a long-term vision. In 1996, Berkshire Hathaway issued the class B shares that come with 1/1000 of the value and 1/1500 of the voting rights in order to avoid the formation of mutual funds that buy class A shares.

Lindt & Sprüngli shares topped out at approximately $140,000 (December 2021). Like Berkshire Hathaway, the Swiss chocolate manufacturer issued so-called Partizipationsschein shares, valued at 1/100 of the original share value, and come void of voting rights.

List of historical highest-priced publicly traded shares

Company Price (US$) Date Industry
Notes
Country
Berkshire Hathaway 628,900[5] February 2024 holding company
Most expensive share in the world.
United States
Lindt & Sprüngli 140,000[5] December 2021 chocolate manufacture
Most expensive European share.
Switzerland
Bastfaserkontor 11,435 March 2022 small real estate company
Company name: See "bast fibre kontor". 10,000 shares in circulation.
Germany
Berlin Zoo 9,365 June 2021 zoo
4000 shares in circulation.
Germany
Financière Moncey 8,711 September 2021 holding company; specializing in urban public transport
Strongly connected to the Bolloré enterprise.
France
NVR, Inc. 7,617[5] February 2024 home construction, mortgage banking United States
Zuger Kantonalbank 7,200 May 2022 state bank of the Canton of Zug Switzerland
Swiss National Bank 6,371 February 2022 central bank Switzerland
Reederei Herbert Ekkenga 5,400 February 2022 tourist ships on the Zwischenahner Meer Germany
Seaboard Corporation 4,650[5] April 2019 agriculture, shipping, electricity United States
Berkeley Group Holdings 4,484 April 2022 house building, real estate United Kingdom
Financière des Sucres 4,355 April 2022 sugar refinery, sugar trade Belgium
Ultra Electronics Holding 4,330 April 2022 defense and security equipment United Kingdom
Givaudan 4,017 April 2022 flavours and fragrances Switzerland
Booking Holdings 3,840[5] February 2024 travel United States
Wizz Air Holdings plc 3,776 April 2022 low cost airline Jersey (United Kingdom)
Amazon 3,515[5] November 2021 online commerce United States
Alphabet Inc. 2,960[5] October 2021 information technology United States
Auto Zone 2,842[5] February 2024 auto parts United States
Texas Pacific Land Corporation 2,715[5] November 2022 land management, water services United States
Société Générale de Surveillance 2,696 April 2022 inspection, certification, testing Switzerland
Chipotle Mexican Grill 2,666[5] February 2024 restaurant chain United States
Barry Callebaut 2,513 August 2021 cocoa Switzerland

History

Robert D. Coleman's Evolution of Stock Pricing notes that the invention of double-entry bookkeeping in the fourteenth century led to company valuations being based upon ratios such as price per unit of earnings (from the income statement), price per unit of net worth (from the balance sheet) and price per unit of cash flow (from the funds statement). The next advance was to price individual shares rather than whole companies. A price/dividends ratio began to be used. Following this, the next stage was the use of discounted cash flows, based on the time value of money, to estimate the intrinsic value of stock.[6]

See also

References

  1. ^ Lo, Andrew W.; MacKinlay, A. Craig (January 1988). "Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test". Review of Financial Studies. 1 (1): 41–66. doi:10.1093/rfs/1.1.41.
  2. ^ Subbalakshmi, M (October 2023). "Equity Analysis of Selected Indian Automobile Companies". IUP Journal of Management Research. 22 (4): 22–37. ProQuest 2902518543.
  3. ^ https://www.investopedia.com/terms/f/fundamentalanalysis.asp
  4. ^ Ehrhardt, Michael C.; Brigham, Eugene F. (2010). Corporate Finance. Cengage Learning. p. 278. ISBN 978-1-4390-7808-2.
  5. ^ a b c d e f g h i j "10 of the Highest Stock Prices in History". Investopedia. Retrieved 15 March 2024.
  6. ^ Coleman, Robert D. (2006). "Evolution of Stock Pricing" (PDF).