This paper examines the effects of uncertainty through dynamic learning about the firm's project value in the real options framework. We extend the real options framework with incomplete information by allowing an unobserved state variable that drives profits to follow a stochastic process with...

This paper studies the behavior of price discovery within a context of an agent based stock market in which the twin assumptions namely, rational expectations and the representative agents normally made in mainstream economics, are removed. In this model, traders stochastically update their...

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...

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 consider the quadratic optimal control problem with regime shifts and forward-looking agents. This extends the results of Zampolli (2003) who considered models without forward-looking expectations. Two algorithms are presented: The first algorithm computes the solution of a...

We modelize the value of a financial asset as a superposition of n possible prices the asset may have. The superposition depends on weights each decision maker allots to each of the n prices influencing the value. Those n weights are complex numbers and the summation (over n weights) of the...

Insurance companies invest their wealth in financial markets. The wealth evolution strongly depends on the success of their investment strategies, but also on liquidity shocks which occur during unfavourable years, when indemnities to be paid to the clients exceed collected premia. An investment...