January Effect
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January Effect
The January effect is a hypothesis that there is a seasonality, seasonal market anomaly, anomaly in the financial market where security (finance), securities' prices increase in the month of January more than in any other month. This calendar effect would create an opportunity for investors to buy stocks for lower prices before January and sell them after their value increases. As with all calendar effects, if true, it would suggest that the market is not Efficient-market hypothesis, efficient, as market efficiency would suggest that this effect should disappear. The effect was first observed around 1942 by investment banker Sidney B. Wachtel. He noted that since 1925 small stocks had outperformed the broader market in the month of January, with most of the disparity occurring before the middle of the month. It has also been noted that when combined with the four-year US presidential cycle, historically the largest January effect occurs in year three of a president's term. The mo ...
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Seasonality
In time series data, seasonality is the presence of variations that occur at specific regular intervals less than a year, such as weekly, monthly, or quarterly. Seasonality may be caused by various factors, such as weather, vacation, and holidays and consists of periodic, repetitive, and generally regular and predictable patterns in the levels of a time series. Seasonal fluctuations in a time series can be contrasted with cyclical patterns. The latter occur when the data exhibits rises and falls that are not of a fixed period. Such non-seasonal fluctuations are usually due to economic conditions and are often related to the "business cycle"; their period usually extends beyond a single year, and the fluctuations are usually of at least two years. Organisations facing seasonal variations, such as ice-cream vendors, are often interested in knowing their performance relative to the normal seasonal variation. Seasonal variations in the labour market can be attributed to the entrance of ...
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Transaction Cost
In economics and related disciplines, a transaction cost is a cost in making any economic trade when participating in a market. Oliver E. Williamson defines transaction costs as the costs of running an economic system of companies, and unlike production costs, decision-makers determine strategies of companies by measuring transaction costs and production costs. Transaction costs are the total costs of making a transaction, including the cost of planning, deciding, changing plans, resolving disputes, and after-sales. Therefore, the transaction cost is one of the most significant factors in business operation and management. Oliver E. Williamson's ''Transaction Cost Economics'' popularized the concept of transaction costs. Douglass C. North argues that institutions, understood as the set of rules in a society, are key in the determination of transaction costs. In this sense, institutions that facilitate low transaction costs, boost economic growth.North, Douglass C. 1992. “Transa ...
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Santa Claus Rally
A Santa Claus rally is a calendar effect that involves a rise in stock prices during the last 5 trading days in December and the first 2 trading days in the following January., According to the 2019 ''Stock Trader's Almanac'', the stock market has risen 1.3% on average during the 7 trading days in question since both 1950 and 1969. Over the 7 trading days in question, stock prices have historically risen 76% of the time, which is far more than the average performance over a 7-day period. However, in the weeks prior to Christmas, stock prices have not gone up more than at other times of the year. The Santa Claus rally was first recorded by Yale Hirsch in his ''Stock Trader's Almanac'' in 1972. The Dow Jones Industrial Average has performed better in years following holiday seasons in which the Santa Claus rally does not materialize. Causes There is no generally accepted explanation for the phenomenon. The rally is sometimes attributed to the following: * Increased investor purcha ...
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Sell In May
Sell in May and go away is an investment strategy for stocks based on a theory (sometimes known as the Halloween indicator) that the period from November to April inclusive has significantly stronger stock market growth on average than the other months. In such strategies, stocks are sold at the start of May and the proceeds held in cash (e.g. a money market fund); stocks are bought again in the autumn, typically around Halloween. "Sell in May" can be characterised as the belief that it is better to avoid holding stock during the summer period. Though this seasonality is often mentioned informally, it has largely been ignored in academic circles. Analysis by Bouman and Jacobsen (2002) shows that the effect has indeed occurred in 36 out of 37 countries examined, and since the 17th century (1694) in the United Kingdom; it is strongest in Europe. Causes Data show that stock market returns in many countries during the May–October period are systematically negative or lower than the ...
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Market Timing
Market timing is the strategy of making buying or selling decisions of financial assets (often stocks) by attempting to predict future market price movements. The prediction may be based on an outlook of market or economic conditions resulting from technical or fundamental analysis. This is an investment strategy based on the outlook for an aggregate market rather than for a particular financial asset. The efficient-market hypothesis is an assumption that asset prices reflect all available information, meaning that it is theoretically impossible to systematically "beat the market." Approaches Market timing can cause poor performance. After fees, the average "trend follower" does not show skills or abilities compared to benchmarks. "Trend Tracker" reported returns are distorted by survivor bias, selection bias, and fill bias. At the Federal Reserve Bank of St. Louis, YiLi Chien, Senior Economist wrote about return-chasing behavior. The average equity mutual fund investor tends to ...
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Limits To Arbitrage
Limits to arbitrage is a theory in financial economics that, due to restrictions that are placed on funds that would ordinarily be used by rational traders to arbitrage away pricing inefficiencies, prices may remain in a non-equilibrium state for protracted periods of time. The efficient-market hypothesis assumes that whenever mispricing of a publicly traded stock occurs, an opportunity for low-risk profit is created for rational traders. The low-risk profit opportunity exists through the tool of arbitrage, which, briefly, is buying and selling differently priced items of the same value, and pocketing the difference. If a stock falls away from its equilibrium price (let us say it becomes undervalued) due to irrational trading (noise traders), rational investors will (in this case) take a long position while going short a proxy security, or another stock with similar characteristics. Rational traders usually work for professional money management firms, and invest other peoples ...
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July Effect
The July effect, sometimes referred to as the July phenomenon, is a perceived but scientifically unfounded increase in the risk of medical errors and surgical complications that occurs in association with the time of year in which United States medical school graduates begin residencies. A similar period in the United Kingdom is known as the killing season or, more specifically, Black Wednesday, referring to the first Wednesday in August when postgraduate trainees commence their rotations. United States A ''Journal of General Internal Medicine'' study, published in 2010, investigated medical errors from 1979 to 2006 in United States hospitals and found that medication errors increased 10% during the month of July at teaching hospitals, but not in neighboring hospitals."New residents linked to July med ...
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Financial Market Efficiency
There are several concepts of efficiency for a financial market. The most widely discussed is informational or price efficiency, which is a measure of how quickly and completely the price of a single asset reflects available information about the asset's value. Other concepts include functional/operational efficiency, which is inversely related to the costs that investors bear for making transactions, and allocative efficiency, which is a measure of how far a market channels funds from ultimate lenders to ultimate borrowers in such a way that the funds are used in the most productive manner. Market efficiency types Three common types of market efficiency are allocative, operational and informational. However, other kinds of market efficiency are also recognised. James Tobin identified four efficiency types that could be present in a financial market: 1. Information arbitrage efficiency Asset prices fully reflect all of the privately available information (the least demanding r ...
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Calendar Effect
A calendar effect (or calendar anomaly) is any market anomaly, different behaviour of stock markets, or economic effect which appears to be related to the calendar, such as the day of the week, time of the month, time of the year, time within the U.S. presidential cycle, decade within the century, etc... Some people believe that if they do exist, it is possible to use market timing. Seasonal patterns are not confined to prices; many other systems can exhibit the same kind of calendar effect. However, the term is most often used in an economic context. Causes Market prices are often subject to seasonal tendencies because the availability and demand for an item is not constant throughout the year. For example, natural gas prices often rise in the winter because that commodity is in demand as a heating fuel. In the summer, when the demand for heat is lower, prices typically fall. Examples Notable calendar effects include: * Sell in May principle (or Halloween indicator) * Januar ...
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Risk Adjusted Return
In finance, the Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) measures the performance of an investment such as a security or portfolio compared to a risk-free asset, after adjusting for its risk. It is defined as the difference between the returns of the investment and the risk-free return, divided by the standard deviation of the investment returns. It represents the additional amount of return that an investor receives per unit of increase in risk. It was named after William F. Sharpe, who developed it in 1966. Definition Since its revision by the original author, William Sharpe, in 1994, the ''ex-ante'' Sharpe ratio is defined as: : S_a = \frac = \frac, where R_a is the asset return, R_b is the risk-free return (such as a U.S. Treasury security). E_a-R_b/math> is the expected value of the excess of the asset return over the benchmark return, and is the standard deviation of the asset excess return. The ''ex-post'' S ...
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Arbitrage
In economics and finance, arbitrage (, ) is the practice of taking advantage of a difference in prices in two or more markets; striking a combination of matching deals to capitalise on the difference, the profit being the difference between the market prices at which the unit is traded. When used by academics, an arbitrage is a transaction that involves no negative cash flow at any probabilistic or temporal state and a positive cash flow in at least one state; in simple terms, it is the possibility of a risk-free profit after transaction costs. For example, an arbitrage opportunity is present when there is the possibility to instantaneously buy something for a low price and sell it for a higher price. In principle and in academic use, an arbitrage is risk-free; in common use, as in statistical arbitrage, it may refer to ''expected'' profit, though losses may occur, and in practice, there are always risks in arbitrage, some minor (such as fluctuation of prices decreasing profit ...
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Market Anomaly
A market anomaly in a financial market is predictability that seems to be inconsistent with (typically risk-based) theories of asset prices. Standard theories include the capital asset pricing model and the Fama–French three-factor model, Fama-French Three Factor Model, but a lack of agreement among academics about the proper theory leads many to refer to anomalies without a reference to a benchmark theory (Daniel and Hirschleifer 2015 and Barberis 2018, for example). Indeed, many academics simply refer to anomalies as "return predictors", avoiding the problem of defining a benchmark theory. Academics have documented more than 150 return predictors (see ''Market anomaly#List of Anomalies Documented in Academic Journals, List of Anomalies Documented in Academic Journals).'' These "anomalies", however, come with many caveats. Almost all documented anomalies focus on illiquid, small stocks. Moreover, the studies do not account for trading costs. As a result, many anomalies do not ...
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