In parametric models a su cient condition for local identi cation is that the vector of moment conditions is di erentiable at the true parameter with full rank derivative matrix. We show that there are corresponding su cient conditions for nonparametric models. A nonparametric rank condition and di erentiability of the moment conditions with respect to a certain norm imply local identi cation. ...

This paper examines the relationship between option pricing models that use stochastic dominance concepts in discrete time, and the traditional arbitrage-based continuous time models. It derives multiperiod discrete time index option bounds based on stochastic dominance considerations for a risk-averse investor holding only the underlying asset, the riskless asset and (possibly) the option for ...

We present a new multiagent model for the multiperiod portfolio selection problem. Individual agents receive a share of initial wealth, and follow an investment strategy that adjusts their portfolio as they observe movements of the market over time. The agents share their wealth at the end of the nal investment period. We show that a multiagent system can outperform a single agent that invests ...

Using an agent-based multi-asset artificial stock market, we simulate the survival dynamics of investors with different risk preferences. It is found that the survivability of investors is closely related to their risk preferences. Among the eight types of investors considered in this paper, only the CRRA investors with RRA coefficients close to one can survive in the long run. Other types of a...

In this paper, we develop a framework for valuing real options and portfolios of real options in incomplete markets and show that it is a consistent generalization of contingent claims analysis, which is conventionally used for real option valuation in complete markets. The development of a framework for incomplete markets is motivated by the difficulty to construct replicating portfolios in pr...

This paper demonstrates that quality-contingent pricing is a useful mechanism for mitigating the negative effects of quality uncertainty in e-commerce and IT services. A contingency pricing contract specifies a sequence of possible quality levels and corresponding prices. The market estimates the firms performance at various quality levels based on historical statistics, and the firm may have a...