Introduction
A stock market or equity market is the aggregation of
buyers and sellers (a loose network of economic transactions, not a physical
facility or discrete entity) of stocks (also called shares); these may include
securities listed on a stock exchange as well as those only traded privately.
A stock exchange is a place to trade
stocks. Companies may want to get their stock listed on a stock exchange. Other
stocks may be traded "over the counter", that is, through a dealer. A
large company will usually have its stock listed on many exchanges across the world.
Exchanges may also cover other types of security such as fixed interest
securities or indeed derivatives.
Function and purpose
The stock market is one of the most important ways for
companies to raise money, along with debt markets which are generally more
imposing but do not trade publicly. This allows businesses to be publicly
traded, and raise additional financial capital for expansion by selling shares
of ownership of the company in a public market. The liquidity that an exchange
affords the investors enables their holders to quickly and easily sell
securities. This is an attractive feature of investing in stocks, compared to
other less liquid investments such as property and other immoveable assets.
Some companies actively increase liquidity by trading in their own shares.
History has shown that the price of stocks and other
assets is an important part of the dynamics of economic activity, and can
influence or be an indicator of social mood. An economy where the stock market
is on the rise is considered to be an up-and-coming economy. In fact, the stock
market is often considered the primary indicator of a country's economic
strength and development.
Rising share prices, for instance, tend to be
associated with increased business investment and vice versa. Share prices also
affect the wealth of households and their consumption. Therefore, central banks
tend to keep an eye on the control and behavior of the stock market and, in
general, on the smooth operation of financial system functions. Financial
stability is the raison of banks.
Exchanges also act as the clearinghouse for each
transaction, meaning that they collect and deliver the shares, and guarantee
payment to the seller of a security. This eliminates the risk to an individual
buyer or seller that the counterparty could default on the transaction.
The smooth functioning of all these activities
facilitates economic growth in that lower costs and enterprise risks promote
the production of goods and services as well as possibly employment. In this
way the financial system is assumed to contribute to increased prosperity,
although some controversy exists as to whether the optimal financial system is
bank-based or market-based.
Recent events such as the Global Financial Crisis have
prompted a heightened degree of scrutiny of the impact of the structure of
stock markets (called market microstructure), in particular to the stability of
the financial system and the transmission of systemic risk.
Relation of the stock market to the
modern financial system
The financial system in most western countries has
undergone a remarkable transformation. One feature of this development is
disintermediation. A portion of the funds involved in saving and financing,
flows directly to the financial markets instead of being routed via the
traditional bank lending and deposit operations. The general public interest in
investing in the stock market, either directly or through mutual funds has been
an important component of this process.
Statistics show that in recent decades, shares have
made up an increasingly large proportion of households' financial assets in
many countries. In the 1970s, in Sweden, deposit accounts and other very liquid
assets with little risk made up almost 60 percent of households' financial
wealth, compared to less than 20 percent in the 2000s. The major part of this
adjustment is that financial portfolios have gone directly to shares but a good
deal now takes the form of various kinds of institutional investment for groups
of individuals, e.g., pension funds, mutual funds, hedge funds, insurance
investment of premiums, etc.
The trend towards forms of saving with a higher risk
has been accentuated by new rules for most funds and insurance, permitting a
higher proportion of shares to bonds. Similar tendencies are to be found in
other industrialized countries. In all developed economic systems, such as the
European Union, the United States, Japan and other developed nations, the trend
has been the same: saving has moved away from traditional (government insured)
"bank deposits to more risky securities of one sort or another".
According to one interpretation of the
efficient-market hypothesis (EMH), only changes in fundamental factors, such as
the outlook for margins, profits or dividends, ought to affect share prices
beyond the short term, where random 'noise' in the system may prevail. (But
this largely theoretic academic viewpoint—known as 'hard' EMH—also predicts
that little or no trading should take place, contrary to fact, since prices are
already at or near equilibrium, having priced in all public knowledge.) The
'hard' efficient-market hypothesis is sorely tested and does not explain the
cause of events such as the crash in 1987, when the Dow Jones Industrial
Average plummeted 22.6 percent—the largest-ever one-day fall in the United
States.
This event demonstrated that share prices can fall
dramatically even though, to this day, it is impossible to fix a generally
agreed upon definite cause: a thorough search failed to detect any 'reasonable'
development that might have accounted for the crash. (But note that such events
are predicted to occur strictly by chance, although very rarely.) It seems also
to be the case more generally that many price movements (beyond that which are
predicted to occur 'randomly') are not occasioned by new information; a study
of the fifty largest one-day share price movements in the United States in the
post-war period seems to confirm this.
A 'soft' EMH has emerged which does not require that
prices remain at or near equilibrium, but only that market participants not be
able to systematically profit from any momentary market 'inefficiencies'.
Moreover, while EMH predicts that all price movement (in the absence of change
in fundamental information) is random (i.e., non-trending), many studies have
shown a marked tendency for the stock market to trend over time periods of
weeks or longer. Various explanations for such large and apparently non-random
price movements have been promulgated. For instance, some research has shown
that changes in estimated risk, and the use of certain strategies, such as
stop-loss limits and value at risk limits, theoretically could cause financial
markets to overreact. But the best explanation seems to be that the
distribution of stock market prices is non-Gaussian (in which case EMH, in any
of its current forms, would not be strictly applicable).
Other research has shown that psychological factors
may result in exaggerated (statistically anomalous) stock price movements
(contrary to EMH which assumes such behaviors 'cancel out'). Psychological
research has demonstrated that people are predisposed to 'seeing' patterns, and
often will perceive a pattern in what is, in fact, just noise. (Something like
seeing familiar shapes in clouds or ink blots.) In the present context this
means that a succession of good news items about a company may lead investors
to overreact positively (unjustifiably driving the price up). A period of good
returns also boosts the investors' self-confidence, reducing their (psychological)
risk threshold.
Another phenomenon—also from psychology—that works
against an objective assessment is group thinking. As social animals, it is not
easy to stick to an opinion that differs markedly from that of a majority of
the group. An example with which one may be familiar is the reluctance to enter
a restaurant that is empty; people generally prefer to have their opinion
validated by those of others in the group.
In one paper the authors draw an analogy with
gambling. In normal times the market behaves like a game of roulette; the
probabilities are known and largely independent of the investment decisions of
the different players. In times of market stress, however, the game becomes
more like poker (herding behavior takes over). The players now must give heavy
weight to the psychology of other investors and how they are likely to react
psychologically.
The stock market, as with any other business, is quite
unforgiving of amateurs. Inexperienced investors rarely get the assistance and
support they need. In the period running up to the 1987 crash, less than 1
percent of the analyst's recommendations had been to sell (and even during the
2000–2002 bear market, the average did not rise above 5%). In the run up to
2000, the media amplified the general euphoria, with reports of rapidly rising
share prices and the notion that large sums of money could be quickly earned in
the so-called new economy stock market.
Irrational behavior
Sometimes, the market seems to react irrationally to
economic or financial news, even if that news is likely to have no real effect
on the fundamental value of securities itself. But, this may be more apparent
than real, since often such news has been anticipated, and a counter reaction
may occur if the news is better (or worse) than expected. Therefore, the stock
market may be swayed in either direction by press releases, rumors, euphoria
and mass panic; but generally only briefly, as more experienced investors
(especially the hedge funds) quickly rally to take advantage of even the
slightest, momentary hysteria.
Over the short-term, stocks and other securities can
be battered or buoyed by any number of fast market-changing events, making the
stock market behavior difficult to predict. Emotions can drive prices up and
down, people are generally not as rational as they think, and the reasons for
buying and selling are generally obscure. Behaviorists argue that investors
often behave 'irrationally' when making investment decisions thereby
incorrectly pricing securities, which causes market inefficiencies, which, in
turn, are opportunities to make money. However, the whole notion of EMH is that
these non-rational reactions to information cancel out, leaving the prices of
stocks rationally determined.
Robert Shiller's plot of the S&P Composite Real
Price Index, Earnings, Dividends, and Interest Rates, from Irrational
Exuberance, 2d ed. In the preface to this edition, Shiller warns, "The
stock market has not come down to historical levels: the price-earnings ratio
as I define it in this book is still, at this writing [2005], in the mid-20s,
far higher than the historical average... People still place too much
confidence in the markets and have too strong a belief that paying attention to
the gyrations in their investments will someday make them rich, and so they do
not make conservative preparations for possible bad outcomes."
Price-Earnings ratios as a predictor of twenty-year
returns based upon the plot by Robert Shiller. The horizontal axis shows the
real price-earnings ratio of the S&P Composite Stock Price Index as
computed in Irrational Exuberance (inflation adjusted price divided by the
prior ten-year mean of inflation-adjusted earnings). The vertical axis shows
the geometric average real annual return on investing in the S&P Composite
Stock Price Index, reinvesting dividends, and selling twenty years later. Data
from different twenty-year periods is color-coded as shown in the key.Shiller
states that this plot "confirms that long-term investors—investors who
commit their money to an investment for ten full years—did do well when prices
were low relative to earnings at the beginning of the ten years. Long-term
investors would be well advised, individually, to lower their exposure to the
stock market when it is high, as it has been recently, and get into the market
when it is low."
A stock market crash is often defined as a sharp dip
in share prices of stocks listed on the stock exchanges. In parallel with
various economic factors, a reason for stock market crashes is also due to
panic and investing public's loss of confidence. Often, stock market crashes
end speculative economic bubbles.
There have been famous stock market crashes that have
ended in the loss of billions of dollars and wealth destruction on a massive
scale. An increasing number of people are involved in the stock market,
especially since the social security and retirement plans are being
increasingly privatized and linked to stocks and bonds and other elements of
the market. There have been a number of famous stock market crashes like the
Wall Street Crash of 1929, the stock market crash of 1973–4, the Black Monday
of 1987, the Dot-com bubble of 2000, and the Stock Market Crash of 2008.
One of the most famous stock market crashes started
October 24, 1929 on Black Thursday. The Dow Jones Industrial Average lost 50%
during this stock market crash. It was the beginning of the Great Depression.
Another famous crash took place on October 19, 1987 – Black Monday. The crash
began in Hong Kong and quickly spread around the world.
By the end of October, stock markets in Hong Kong had
fallen 45.5%, Australia 41.8%, Spain 31%, the United Kingdom 26.4%, the United
States 22.68%, and Canada 22.5%. Black Monday itself was the largest one-day
percentage decline in stock market history – the Dow Jones fell by 22.6% in a
day. The names "Black Monday" and "Black Tuesday" are also
used for October 28–29, 1929, which followed Terrible Thursday—the starting day
of the stock market crash in 1929.
The crash in 1987 raised some puzzles – main news and
events did not predict the catastrophe and visible reasons for the collapse
were not identified. This event raised questions about many important
assumptions of modern economics, namely, the theory of rational human conduct,
the theory of market equilibrium and the efficient-market hypothesis. For some
time after the crash, trading in stock exchanges worldwide was halted, since
the exchange computers did not perform well owing to enormous quantity of
trades being received at one time. This halt in trading allowed the Federal
Reserve System and central banks of other countries to take measures to control
the spreading of worldwide financial crisis. In the United States the SEC
introduced several new measures of control into the stock market in an attempt
to prevent a re-occurrence of the events of Black Monday.
Since the early 1990s, many of the largest exchanges
have adopted electronic 'matching engines' to bring together buyers and
sellers, replacing the open outcry system. Electronic trading now accounts for
the majority of trading in many developed countries. Computer systems were
upgraded in the stock exchanges to handle larger trading volumes in a more
accurate and controlled manner. The SEC modified the margin requirements in an
attempt to lower the volatility of common stocks, stock options and the futures
market. The New York Stock Exchange and the Chicago Mercantile Exchange
introduced the concept of a circuit breaker. The circuit breaker halts trading
if the Dow declines a prescribed number of points for a prescribed amount of
time. In February 2012, the Investment Industry Regulatory Organization of
Canada (IIROC) introduced single-stock circuit breakers.
Stock market prediction
Tobias Preis and his colleagues Helen Susannah Moat
and H. Eugene Stanley introduced a method to identify online precursors for
stock market moves, using trading strategies based on search volume data
provided by Google Trends. Their analysis of Google search volume for 98 terms
of varying financial relevance, published in Scientific Reports, suggests that
increases in search volume for financially relevant search terms tend to
precede large losses in financial markets.
Stock market index
The movements of the prices in a market or section of
a market are captured in price indices called stock market indices, of which
there are many, e.g., the S&P, the FTSE and the Euronext indices. Such
indices are usually market capitalization weighted, with the weights reflecting
the contribution of the stock to the index. The constituents of the index are
reviewed frequently to include/exclude stocks in order to reflect the changing
business environment.
Derivative instruments
Financial innovation has brought many new financial instruments
whose pay-offs or values depend on the prices of stocks. Some examples are
exchange-traded funds (ETFs), stock index and stock options, equity swaps,
single-stock futures, and stock index futures. These last two may be traded on
futures exchanges (which are distinct from stock exchanges—their history traces
back to commodity futures exchanges), or traded over-the-counter. As all of
these products are only derived from stocks, they are sometimes considered to
be traded in a (hypothetical) derivatives market, rather than the
(hypothetical) stock market.
Leveraged strategies
Stock that a trader does not actually own may be
traded using short selling; margin buying may be used to purchase stock with
borrowed funds; or, derivatives may be used to control large blocks of stocks
for a much smaller amount of money than would be required by outright purchase
or sales.
Short selling
In short selling, the trader borrows stock (usually
from his brokerage which holds its clients' shares or its own shares on account
to lend to short sellers) then sells it on the market, betting that the price
will fall. The trader eventually buys back the stock, making money if the price
fell in the meantime and losing money if it rose. Exiting a short position by
buying back the stock is called "covering." This strategy may also be
used by unscrupulous traders in illiquid or thinly traded markets to
artificially lower the price of a stock. Hence most markets either prevent
short selling or place restrictions on when and how a short sale can occur. The
practice of naked shorting is illegal in most (but not all) stock markets.
Margin buying
In margin buying, the trader borrows money (at
interest) to buy a stock and hopes for it to rise. Most industrialized
countries have regulations that require that if the borrowing is based on
collateral from other stocks the trader owns outright, it can be a maximum of a
certain percentage of those other stocks' value. In the United States, the
margin requirements have been 50% for many years (that is, if you want to make
a $1000 investment, you need to put up $500, and there is often a maintenance
margin below the $500).
A margin call is made if the total value of the
investor's account cannot support the loss of the trade. (Upon a decline in the
value of the margined securities additional funds may be required to maintain
the account's equity, and with or without notice the margined security or any
others within the account may be sold by the brokerage to protect its loan
position. The investor is responsible for any shortfall following such forced
sales.)
Regulation of margin requirements (by the Federal
Reserve) was implemented after the Crash of 1929. Before that, speculators
typically only needed to put up as little as 10 percent (or even less) of the
total investment represented by the stocks purchased. Other rules may include
the prohibition of free-riding: putting in an order to buy stocks without
paying initially (there is normally a three-day grace period for delivery of
the stock), but then selling them (before the three-days are up) and using part
of the proceeds to make the original payment (assuming that the value of the
stocks has not declined in the interim).
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