An enormous amount of empirical work has been directed toward understanding the nature of stock price movements. Early studies, such as those by Alexander [2; 3], Fama [10], and Fama and Blume [11], support the contention that stock price changes follow a random walk. Thus cycles that appear to exist are simply a statistical artifact. More recent efforts, namely Young [28], Greene and Fielitz [12], Praetz [24], and Renshaw [25], however, provide some evidence against this hypothesis and suggest that stock price changes follow some type of a cyclic time path.' Explanations for these contradictory findings rely on the way that information is disseminated to, processed by, and acted on by market participants. To date, three basic information-based scenarios have appeared in the literature: (1) not all information is of equal importance, (2) not all participants have the same information, and (3) not all participants are equal in their ability to process information. This latter scenario is the most recent and has been used by Heiner [13] to develop a theory of predictable behavior by constructing a competence-difficulty (C-D) gap construct. Kaen and Rosenman [16] extend Heiner's [13] work to provide an explanation for the presence of nonperiodic cycles in asset prices, especially the prices (and returns) of common stock. They maintain that, according to Heiner's theory, market participants differ in their ability in making the correct buy and sell decisions under uncertainty. In financial markets, the spread between the participants' competence in conjunction with the complexity of the information, i.e., the C-D gap, results in price changes in the same direction. If new contradictory information is of substantial import, directional change occurs. Since the arrival of new information is posited to a random event, the resulting periods of similar price change behavior appear to be nonperiodic cycles. Empirically, Kaen and Rosenman [16] support their contention by citing several studies that have used rescaled