Artificial neural networks are used in conjunction with the Sharpe-Linter form of the Capital Asset Pricing Method (CAPM) to predict when the returns on U.S. stocks will be greater than financial risk models would predict. The advantage of using a nonlinear approach is to model the financial system more accurately than linear techniques. The Sharpe-Lintner form is used to control for risk and d...

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...

In this paper, we develop and test asset pricing model formulations that are simultaneously conditional and nonlinear. Formulations based upon five popular asset pricing models are tested against the widely studied Fama and French (1993) twenty-five size and book-tomarket sorted portfolios. Test results indicate that the conditional nonlinear specification of the Fama and French (1993) three st...

This paper offers an alternative method for estimating expected returns. The proposed reward beta approach performs well empirically and is based on asset pricing theory. The empirical section compares this approach with the CAPM and the Fama-French three-factor model. In out-of-sample testing, both the CAPM and the three-factor model are rejected. In contrast, the reward beta approach easily p...

This paper develops a new methodology for estimating and testing conditional factor models in finance. We propose a two-stage procedure that naturally unifies the two existing approaches in the finance literature–the parametric approach and the nonparametric approach. Our combined approach possesses important advantages over both methods. Using our two-stage combined estimator, we derive new te...

The fundamental argument in the Capital Asset Pricing Model (CAPM) is that the market risk is impossible to be eliminated. Investors tend to look into the possibility of diversifying their investment activities in various countries in the same region, hence, regional of equity markets. This study makes an attempt to re-examine the dynamic relationship among the Malaysian, and the Tiger markets ...