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Wednesday, November 19, 2008

Derivative products

During the 1980s and 1990s, a major growth sector in financial markets is the trade in so called derivative products, or derivatives for short.

In the financial markets, stock prices, bond prices, currency rates, interest rates and dividends go up and down, creating risk. Derivative products are financial products which are used to control risk or paradoxically exploit risk. It is also called financial economics.

 Currency markets

Seemingly, the most obvious buyers and sellers of foreign exchange are importers/exporters. While this may have been true in the distant past, whereby importers/exporters created the initial demand for currency markets, importers and exporters now represent only 1/32 of foreign exchange dealing, according to BIS

The picture of foreign currency transactions today shows:
• Banks/Institutions 
• Speculators 
• Government spending (for example, military bases abroad) 
• Importers/Exporters 
• Tourists 
 Analysis of financial markets
Much effort has gone into the study of financial markets and how prices vary with time. Charles Dow, one of the founders of Dow Jones & Company and The Wall Street Journal, enunciated a set of ideas on the subject which are now called Dow Theory. This is the basis of the so-called technical analysis method of attempting to predict future changes. One of the tenets of "technical analysis" is that market trends give an indication of the future, at least in the short term. The claims of the technical analysts are disputed by many academics, who claim that the evidence points rather to the random walk hypothesis, which states that the next change is not correlated to the last change.
The scale of changes in price over some unit of time is called the volatility. It was discovered by Benoît Mandelbrot that changes in prices do not follow a Gaussian distribution, but are rather modeled better by Lévy stable distributions. The scale of change, or volatility, depends on the length of the time unit to a power a bit more than 1/2. Large changes up or down are more likely than what one would calculate using a Gaussian distribution with an estimated standard deviation.

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