We discuss the theoretical machinery involved in predicting financial market movements using an artificial market model which has been trained on real financial data. This approach to market prediction in particular, forecasting financial time-series by training a third-party or ‘black box’ game on the financial data itself – was discussed by Johnson et al. 13 and was based on some encouraging ...

sense that they are mathematical (logical) projections of it. Like the other trading instruments I have described, then, derivatives and futures options are conflations of representation and exchange, for the representations of time and risk implicit in these trades create a purely notional trading environment whose only existence is electronic. Nevertheless, these electronic trades can have ve...

Search functionality of a CORBA trader is restricted to search for service offers and assumes clients’ knowledge of service types of those offers. It would be more flexible if the clients can also import other information, i.e. service types and interfaces, before trading for service offers, or conduct keyword search. With this requirement, making service descriptions into XML format can be hel...

The literature on British economic history presumes that Britain was a free trader after the repeal of the Corn Laws and that her tariff levels were thus below those which were optimal for maximizing utility. Presumably, if the optimal British tariff had been positive and greater than the levels established by mid-century, a reduction to zero of all tariffs that remained would have lowered Brit...

A sequence of previous papers has demonstrated that a genetic algorithm (GA) can be used to automatically discover new optimal auction mechanisms for automated electronic marketplaces populated by software-agent traders. Significantly, the new auction mechanisms are often unlike traditional mechanisms designed by humans for human traders; rather, they are peculiar hybrid mixtures of established...

In this paper, we consider a frequency-based portfolio optimization problem with $m \geq 2$ assets when the expected logarithmic growth (ELG) rate of wealth is used as performance metric. With aid notion called dominant asset, it known that optimal ELG level achieved by investing all available funds on asset. However, such an "all-in" strategy arguably too risky to implement in practice. Motiva...