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When Cris described his experience to me, I initially believed that he had been the victim of high-pressure, incomplete-disclosure sales tactics common in boiler-room operations Although Cris was locked out of his online trading account, he had printed copies of all trade con rmations and loan renewals We analyzed the transactions, comparing the purchase and sale prices to historic pricing information available on the Internet, and discovered that Cris s purchases were, routinely, 8 to 10 percent above the spot price of the related metal and his sale prices were always 5 percent below These premiums and discounts were in addition to the commission FBC charged on the sale Our analysis of the loan renewals showed that, contrary to the representations in the compliance interviews, the loans did not renew bi-yearly, or every two years, but rather every six months FundEx charged a 1.

5 percent origination fee with each renewal, increasing the annual interest rate 3 percent Further research revealed that Austin Goodwin was not merely the FBC compliance of cer; he owned the company While the FBC promotional materials and Web site claimed FBC and FundEx were independent, Goodwin owned the nancing entity also Armed with these misrepresentations, we led a class-action claim for fraud in federal court in Florida on behalf of Cris and all other similarly situated FBC customers Through the discovery process, we requested nancial statements and tax returns for both FBC and FundEx, as well as a number of other accounting records, but the defendants and their attorneys stonewalled Eventually, through a subpoena to the companies accounting rm, we obtained copies of the tax returns and other FBC and FundEx nancial records that the accountants had in their les Reviewing these documents, we discovered a curious thing.

Decisions about the nature and extent of sample clustering should depend on slightly different criteria in the case of a longitudinal survey Specifically, the relationship between clustering and data collection cost may change over the waves of a survey due to the mobility of sample units and sample attrition The impact of clustering on the variance of estimates (design effects) may also change To take this into account at the sample design stage requires knowledge of the number and timing of waves, and estimation of the changing effects of clustering over those waves For example, the General Household Survey in Great Britain has, since 2005, used a fourwave rotating panel design with annual interviews Unit cost is reduced by clustering the initial sample within a sample of postal sectors.

yield adjustment fee The fee paid by one party to a counterparty with respect to a notional principal contract to compensate the counterparty for the fact that the nancial terms of the notional principal contract do not re ect existing market rates yield curve A graphic representation of the different levels of interest rates for different maturities yield spread The difference between the yields of two debt instruments Z bond A CMO class that pays interest and principal only after earlier classes of the CMO have been redeemed..

During the three-year period that the court had allowed us to investigate, FBC had generated approximately $10 million in sales At the same time, the company recorded $27 million in metal purchases Similarly, FundEx had recorded.

The relationship of speci cations is shown in Figure 5.3. These areas are discussed in detail in the following chapters. All referred speci cations are freely available from [LibSpecs].

But unit cost increases at each subsequent wave as attrition and mobility in the sample reduces the number of interviews in each postal sector One way to partly ameliorate this would be to retain the same postal sectors in the sample and perform the rotation of addresses within these sectors, but that could lead to biases in crosssectional estimates over time A careful compromise is therefore needed between selecting a sample size per sector that is large enough at wave 1 to still constrain unit costs at wave 4 and controlling the variance of estimates by limiting the wave 1 sample size per sector Identification of the optimal level of sample clustering is even more difficult with longterm panels, especially if the eventual life-span of the panel is unknown at the time of initial design.