DYNAMIC MODELING FORECASTS OF EQUITY PRICE MOVEMENTS IN CASES OF INSIDER TRADING

Case studies examine the extent to which insider trades in financial markets are a reflection of publicly-based forecasts based on (1) candlestick charts and (2) adaptive drift modeling (ADM) of cointegrated time processes depicted in such charts. ADM accommodates both gradual Darwinian-type market drift and punctuated Gould-Eldridge-type drift associated with market volatility. Covariates in ADM may include mosaic variables, currently a main line of defense for those accused of insider trading. Empirical studies suggest varying degrees of uncertainty in distinguishing between legitimate and illegitimate trading in terms of resulting price movements.