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Security Analysis and Portfolio Management




                    Notes          popularized by Hamilton Bolton. The EWP states that major moves take place in five successive
                                   steps resembling tidal waves. In a major  bull market, the first  move is  upward, the second
                                   downward, the third upward, the fourth downward and the fifth and final phase upward. The
                                   waves have a reverse flow in a bear market.

                                   Kondratev Wave Theory

                                   Nikolay Kondratev was a Russian economist and statistician born in 1892. He helped develop
                                   the first Soviet Five-Year Plan. From 1920 to 1928 he  was Director of the Study of Business
                                   Activity at the Timiriazev Agricultural Academy. While there, he devoted his attention to the
                                   study of Western capitalist economies. In the economies of Great Britain and the United States,
                                   he identified long-term business cycles with a period of 50-60 years. He became well-known
                                   after the US market crash of 1929, which Kondratev predicted would follow the US crash of 1870.
                                   His hypothesis of a long-term business cycle is called the Kondratev Wave Theory.
                                   Note that the market crash for 1987 occurred 58 years after the crash of 1929, a period consistent
                                   with Kondratev's theory. Some modern economists believe that Kondratev's theory has merits.
                                   Many others believe that significant macro-economic changes, such as floating exchange rates,
                                   the  elimination of  the gold standard, and  the reduction  of barriers to free  trade, make  the
                                   decision cycle less predictable. Still, many market analysts consider Kondratev's work in their
                                   assessment of the stock market and its risks.

                                   Chaos Theory

                                   At recent finance conferences, a few researchers have presented papers on the chaos theory and
                                   its application to the stock market. In physics, chaos theory is growing field of study examining
                                   instances in which apparently random behaviour is, in fact, quite systematic or even deterministic.
                                   Scientists apply this theory to weather prediction, population growth estimates, and fisheries
                                   biology.
                                   1.  As an example of the latter application, a given volume of  ocean water, left free from
                                       human interference, will not necessarily reach an equilibrium population of the various
                                       species that inhibit it. As fishes grow, they consume the smaller fry (of their own or a
                                       different species) in increasing numbers. Fewer younger fishes are left  to mature; this,
                                       coupled with the natural death of the older fish, eventually results in a sudden drastic
                                       reduction in fish population, causing dismay to fishermen and excitement  in the  local
                                       media. At the same time, it results in reduced predation and competition for food among
                                       the surviving fry, so the population begins to grow dramatically, and the cycle continues.
                                       Interactions between species add complexity to the process.
                                   2.  Investment analysts have sought a pattern in stock market behaviour since the origin of
                                       the exchanges. Much remains unknown about how security prices are determined, and
                                       chaos theory may eventually provide some potential answers. If the apparent randomness
                                       of security price changes, can be shown to be non-random, much of the theory of finance
                                       would need revision.

                                   6.5 Neutral Networks


                                   A neutral network is a trading system in which a forecasting model is trained to find desired
                                   output from past  trading data. By repeatedly cycling through  the data, the neutral network
                                   eventually learns the pattern that produces the desired output. If the desired output remains
                                   elusive, more data is included until a pattern is found. Neutral networks may also include a
                                   feedback mechanism whereby experience gained from past errors.




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