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Some understanding of the business cycle (together with intermarket analysis of bonds, stocks, and commodities) impacts on the asset allocation process, which was discussed in chapter 12 Different phases of the business cycle favor different asset classes The beginning of an economic expansion favors financial assets (bonds and stocks), while the latter part of an expansion favors commodities (or inflation hedges such as gold and oil stocks) Periods of economic expansion favor stocks, whereas periods of economic contraction favor bonds In this chapter, the business cycle will be used to help explain the chronological rotation that normally takes place between bonds, stocks and commodities Although I'll continue to utilize the CRB Futures Price Index for the commodity portion, the relative merits of using a couple of more industrial-based commodity averages will be discussed such as the Spot Raw Industrials Index of the Journal of Commerce Index.

Since copper is one of the most widely followed of the industrial commodities, its predictive role in the economy and some possible links between copper and the stock market will be considered Since many asset allocators use gold as their commodity proxy, I'll show where the yellow metal fits into the picture Because the bond market plays a key role in the business cycle and the the intermarket rotation process, the bond market's value as a leading indicator of the economy will be considered THE CHRONOLOGICAL SEQUENCES OF BONDS, STOCKS, AND COMMODITIES Figure 131 (courtesy of the Asset Allocation Review, written by Martin J Pring, published by the International Institute for Economic Research, PO Box 329, Washington Depot, CT 06794) shows an idealized diagram of how the three financial sectors interact with each other during a typical business cycle.

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The curving line shows the path of the economy during expansion and contraction A rising line indicates ex-.

The number of complete years in the period. The number of complete months in the period. The number of days in the period. The difference between the days in start_date and end_date. The months and years of the dates are ignored. The difference between the months in start_date and end_date. The days and years of the dates are ignored. The difference between the days of start_date and end_date. The years of the dates are ignored.

To calculate downside deviation, we identify the fund returns less than the target and take the differences of these returns to the target. We then square the differences, add the squared differences, and divide by the total number of returns. This gives the downside variance, or belowtarget semivariance. Taking the square root of the downside variance yields a statistic measured in rate of return units. Exhibit 10.7 shows the calculation of downside deviation with the result of 2.55% for the fund and 2.29% for the benchmark. We can annualize the downside deviation in the same way we annualize standard deviation, by multiplying the downside deviation by the square root of the number of return observations per year. Annualized downside deviation =

It is freely downloadable from its official site, www.mysql.com. Its source code can be used to customize it based on the need of the user. It has built-in support for a lot of applications and languages, such as Python, Perl, and PHP. It can be installed on almost any operating system. It consists of a thread-based memory allocation system, which is fast. It supports fixed-length and variable-length records. It has an efficient security system that allows host-based verification. Passwords are encrypted during transit, ensuring maximum security. It is capable of handling very large databases. Support is available on almost all MySQL programs. On Linux systems, the help argument can be used with the program name to display a page that consists of online help. On Windows, MySQL documentation is installed with MySQL by default. Column types, such as FLOAT, CHAR, TEXT, DATE, TIME, DATETIME, VARCHAR, YEAR, TIMESTAMP, and others, are supported in MySQL. There are no reported memory leakages in MySQL. It consists of an optimized class library. All MySQL functions are implemented using this class library and, as a result, are very fast. It supports TCP/IP sockets, Unix sockets, and Named Pipes for connectivity. These concepts are discussed in 12, Network Programming.

Table 6-1 shows a sampling of the date formats that Excel recognizes (using the U.S. settings). Results will vary if you use a different regional setting.

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