Robert Prechter | |
---|---|
Born | March 25, 1949 |
Alma mater | Yale University |
Occupation(s) | Financial author, and stock market analyst |
Robert R. Prechter Jr. (born March 25, 1949) [1] is an American financial author, and stock market analyst, known for his financial forecasts using the Elliott Wave Principle. Prechter is an author and co-author of 14 books, and editor of 2 books, [2] and his book Conquer the Crash was a New York Times bestseller in 2002. [3] He also has published monthly financial commentary in the newsletter The Elliott Wave Theorist since 1979, and is the founder of Elliott Wave International and New Classics Library. [4] [5] Prechter served on the board of the CMT Association for nine years, and as its president in 1990–91. He has been a member of Mensa and Intertel. [6] In recent years Prechter has supported the study of socionomics, a theory about human social behavior. [7] [8]
In 2014 at the IFTA Conference in London Prechter was created a Fellow of the UK Society of Technical Analysts [9] in recognition of his lifetime contributions to Technical Analysis.
Prechter attended Yale University and graduated with a B.A. degree in psychology in 1971. He became a drummer for his rock band throughout circa early 1970s. [10] [11] His career as an analyst began when he joined Merrill Lynch as a market technician in 1975, where he learned much about the trade from Merrill's Chief Market Strategist, Robert Farrell (June 1982). [5] [12] There Prechter also learned of Ralph Nelson Elliott and the Elliott wave principle and was deeply intrigued:
So I tracked down R.N. Elliott's original books. They weren't even in the Library of Congress. But I finally dug around in the New York Public Library and found a catalog card listing a copy of them on microfilm and had photocopies made. I was amazed to find that there was a wealth of information that had been lost to Wall Street. [13]
Prechter has also said, "after I decided to make markets a career, I realized that mass psychology is what they're all about." [13]
In 1979 Prechter left Merrill Lynch and published the first subscription issue of the Elliott Wave Theorist. The 1970s had been very bullish years in the gold market but mostly bearish for stocks, yet his Elliott wave analysis called for a long-term reversal lower in gold (February 1980) [5] [14] and a long-term "super bull market underway" in stocks (October 1982). [5] [15] Because these forecasts proved mostly correct—especially for the stock indexes—Prechter's following grew.
His visibility increased further after he won the U.S. Trading Championship in 1984, with a then-record 444% return in a monitored options trading account. [16] He was profiled in many financial and business publications and named "Guru of the Decade" by the Financial News Network (now CNBC) for the 1980s. [17]
Prechter has been forecasting a large-scale bear market, as explained in his book Conquer the Crash. [18]
Much of Prechter's career as a publisher includes his efforts to re-introduce R.N. Elliott's wave principle to investors. [12] He compiled and republished all of Elliott's available writings, including the 1938 "Wave Principle," and the "Interpretive" and "Forecast" letters (1938–1946). Prechter also published a brief biography of Elliott and the collected Elliott wave writings of the few technicians who practiced wave analysis in the 1950s and 1960s (Charles Collins, Hamilton Bolton, A.J. Frost, Richard Russell).
Still, not all the popular exposure to Elliott wave analysis was the result of Prechter's deliberate efforts. In the few years before and after 1987, media coverage inflated Prechter's "guru" status to extremes, including the assertion that his forecasts could single-handedly "cause" the stock market to rise or fall. [19] In the months after Black Monday in October 1987, subscriptions to Prechter's Elliott Wave Theorist surged to some 20,000. That number declined in the early 1990s (as did the subscription levels of most other financial publishers), though "Prechter has done more to popularize and spread Elliott's philosophy than anyone else." [20]
In 1979, Prechter postulated that social mood drives financial, macroeconomic and political behavior, in contrast to the conventional notion that such events drive social mood. [21] His description of social mood as the driver of cultural trends reached a national audience in a 1985 cover article in Barron's . [22] Prechter coined the term "socionomics" and in 1999 published an exposition of socionomic theory, The Wave Principle of Human Social Behavior. [7] In 2003, he published an anthology of empirical work in the field, Pioneering Studies in Socionomics.
Since then, the counter-intuitive premise of the socionomic hypothesis—that social mood drives the character of social events—has gained attention in academic journals, [23] [24] [25] books, [26] [27] the popular press, [28] [29] [30] universities, [31] academic conferences [32] [33] and in research funded by the National Science Foundation. [34] [35] The Socionomics Foundation hosts an annual conference each April in Atlanta GA regarding social mood. [36] The conferences have included presentations from academics, authors and financial professionals such as Richard L. Peterson, Tobias Preis, Johan Bollen, Michelle Baddeley, Todd Harrison and Robert Prechter.
While Prechter has his admirers, he has been criticized by media and pundits for his long term record. For example, The Wall Street Journal ran a page one article in August 1993 with the headline, "Robert Prechter sees his 3600 on the Dow – But 6 years late," in reference to Prechter's 1987 forecast for the Dow Jones Industrial Average. [37] Technical analyst David Aronson wrote:
The Elliott Wave Principle, as popularly practiced, is not a legitimate theory, but a story, and a compelling one that is eloquently told by Robert Prechter. The account is especially persuasive because EWP has the seemingly remarkable ability to fit any segment of market history down to its most minute fluctuations. I contend this is made possible by the method's loosely defined rules and the ability to postulate a large number of nested waves of varying magnitude. This gives the Elliott analyst the same freedom and flexibility that allowed pre-Copernican astronomers to explain all observed planet movements even though their underlying theory of an Earth-centered universe was wrong. [38]
Prechter is a member of Mensa, Intertel, The Foundation for the Study of Cycles and the Shakespeare Oxford Society.
{{cite book}}
: CS1 maint: others (link){{cite magazine}}
: CS1 maint: unfit URL (link)The discounted cash flow (DCF) analysis, in financial analysis, is a method used to value a security, project, company, or asset, that incorporates the time value of money. Discounted cash flow analysis is widely used in investment finance, real estate development, corporate financial management, and patent valuation. Used in industry as early as the 1700s or 1800s, it was widely discussed in financial economics in the 1960s, and U.S. courts began employing the concept in the 1980s and 1990s.
A financial market is a market in which people trade financial securities and derivatives at low transaction costs. Some of the securities include stocks and bonds, raw materials and precious metals, which are known in the financial markets as commodities.
In finance, technical analysis is an analysis methodology for analysing and forecasting the direction of prices through the study of past market data, primarily price and volume. As a type of active management, it stands in contradiction to much of modern portfolio theory. The efficacy of technical analysis is disputed by the efficient-market hypothesis, which states that stock market prices are essentially unpredictable, and research on whether technical analysis offers any benefit has produced mixed results. It is distinguished from fundamental analysis, which considers a company's financial statements, health, and the overall state of the market and economy.
The Elliott wave principle, or Elliott wave theory, is a form of technical analysis that financial traders use to analyze financial market cycles and forecast market trends by identifying extremes in investor psychology and price levels, such as highs and lows, by looking for patterns in prices. Ralph Nelson Elliott (1871–1948), an American accountant, developed a model for the underlying social principles of financial markets by studying their price movements, and developed a set of analytical tools in the 1930s. He proposed that market prices unfold in specific patterns, which practitioners today call Elliott waves, or simply waves. Elliott published his theory of market behavior in the book The Wave Principle in 1938, summarized it in a series of articles in Financial World magazine in 1939, and covered it most comprehensively in his final major work Nature's Laws: The Secret of the Universe in 1946. Elliott stated that "because man is subject to rhythmical procedure, calculations having to do with his activities can be projected far into the future with a justification and certainty heretofore unattainable".
Ralph Nelson Elliott was an American accountant and author whose study of stock market data led him to develop the Wave Principle, a description of the cyclical nature of trader psychology and a form of technical analysis. It identifies trends and reversals in financial markets. These cyclical patterns in price movements are known among practitioners of the method as Elliott waves.
Crime mapping is used by analysts in law enforcement agencies to map, visualize, and analyze crime incident patterns. It is a key component of crime analysis and the CompStat policing strategy. Mapping crime, using Geographic Information Systems (GIS), allows crime analysts to identify crime hot spots, along with other trends and patterns.
Swing trading is a speculative trading strategy in financial markets where a tradable asset is held for one or more days in an effort to profit from price changes or 'swings'. A swing trading position is typically held longer than a day trading position, but shorter than buy and hold investment strategies that can be held for months or years. Profits can be sought by either buying an asset or short selling. Momentum signals have been shown to be used by financial analysts in their buy and sell recommendations that can be applied in swing trading.
The Elliott Wave Theorist is a monthly newsletter published by Elliott Wave International. The first issue of the Theorist was published in April 1976 and has been continuously in print on a subscription basis since May 1979. The publication includes Elliott wave analysis of the financial markets and cultural trends, plus commentary on topics that include technical analysis, behavioral finance, physics, pattern recognition, and socionomics. Robert Prechter is the publication's editor and main contributor.
Financial modeling is the task of building an abstract representation of a real world financial situation. This is a mathematical model designed to represent the performance of a financial asset or portfolio of a business, project, or any other investment.
Valuation using discounted cash flows is a method of estimating the current value of a company based on projected future cash flows adjusted for the time value of money. The cash flows are made up of those within the “explicit” forecast period, together with a continuing or terminal value that represents the cash flow stream after the forecast period. In several contexts, DCF valuation is referred to as the "income approach".
The Grand Supercycle is the longest period, or wave, in the growth of a financial market as described by the Elliott wave principle, originally conceived and formulated by Ralph Nelson Elliott. Elliott speculated that a Grand Supercycle advance had started in the United States stock market in 1857 and ran to the year 1928, but acknowledged another interpretation that it may have been the third or even the fifth Grand Supercycle wave. However, these assignments have been reevaluated and clarified using larger historical financial data sets in the works of A. J. Frost and R.R. Prechter, and the start is now considered to be 1789, when stock market data began to be recorded.
David Dreman is an investor, who founded and is chairman of Dreman Value Management, an investment company.
Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange. The successful prediction of a stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available information and any price changes that are not based on newly revealed information thus are inherently unpredictable. Others disagree and those with this viewpoint possess myriad methods and technologies which purportedly allow them to gain future price information.
William Peter Hamilton, a proponent of Dow Theory, was the fourth editor of the Wall Street Journal, serving in that capacity for more than 20 years.
In finance, Fibonacci retracement is a method of fundamental analysis for determining support and resistance levels. It is named after the Fibonacci sequence of numbers, whose ratios provide price levels to which markets tend to retrace a portion of a move, before a trend continues in the original direction.
Richard Lion Russell was an American writer on finance.
Richard L. Peterson is an American behavioral economist and psychiatrist. He has developed behavioral finance-based quantitative models, imaged the brains of subjects play-trading, and is a frequent writer about social media sentiment. Peterson developed text mining software to identify and quantify economically predictive sentiments, and speaks widely in the areas of behavioral finance and social media analytics.
BCA Research Inc. (BCA) is an investment research company based in Canada. The firm is also sometimes referred to by the title of its first publication: The Bank Credit Analyst.
Perry J. Kaufman is an American systematic trader, rocket scientist, index developer, and quantitative financial theorist. He is considered a leading expert in the development of fully algorithmic trading programs.
Jason Goepfert is an American researcher and columnist focused on the development of behavioral finance. Prior to founding Sundial Capital Research, he was the manager of back office operations for Deephaven Capital Management, a Minnesota-based hedge fund, and Wells Fargo's online brokerage unit.