In this paper we explore ways that alleviate problems of nonparametric (artificial neural networks) and parametric option pricing models by combining the two. The resulting enhanced network model is compared to standard artificial neural networks and to parametric models with several historical...

Centralized exchange has a worst-case size-complexity many orders of magnitude lower than decentralized monetary exchange for the same number of agents and goods. A more rapid approach to competitive equilibrium may therefore be possible through centralized exchange. An additional benefit of...

Recent research has shown a variety of computational techniques to describe evolution in an artificial stock market. One can distinguish the techniques based on at which level the learning of agents is modeled. The previous literature describes learning at either individual or social level. The...

The research on financial engineering by means of genetic programming is gradually popular and appealing. For example, Kaboudan (1999, 2001) and Iba and Sasaki (1999), Iba and Sasaki (1999), used standard GP to evolve forecasting models. Neely, et al. (1997), Allen and Karjalainen (1999), Fyfe...

Motivated from the charting analysis in the financial industry, Chen and He (2003) are the first to use self-organizing maps to search for and identify price patterns. Such a model is referred to as the trajectory-domain model (TDM). Chen and Tsao (2003) apply the TDMs to three American stock...

We demonstrate that achieving sensible convergence of prices to equilibrium is facilitated by market maker risk. \\ We introduce several criteria for price formation rules, and provide an example that satisfies all of them. The risk aversion of the market maker inevitably leads to price...

This paper uses an agent based financial market calibrated to aggregate data. It shows how these markets are able to magnify the volatility of fundamentals, and to create time series with persistent volatility. The mechanism for this persistence is explored using several of the time series...

The relationship between competitiveness and market performance has been discussed for a long time. In a competitive economic environment, each firm or individual is unable to influence the market. It has been mentioned in the economics courses that the competitive market is more efficient and...

In this paper, we apply a GARCH model to examine the cross-autocorrelation pattern between daily returns of portfolios composed of dual-listed stocks in Chinese stock market, before and after China opened its once foreign-exclusive B-share market. A lead-lag relationship between the A-share and...