In this paper the application of Arbitrage Pricing Theory (APT) and multifactorial pricing is studied on the Swiss stock market. In order to estimate the factors used in the multifactorial model, it is proposed to use the new method of Independent Component Analysis. This method laying on neural...

Prior work on option pricing falls mostly in two categories: it either relies on strong distributional or economical assumptions, or it tries to mimic the Black-Scholes formula through statistical models, trained to fit today's market price based on information available today. The work...

In usual game theory, it is normally assumed that "all the players see the same game"", i.e., they are aware of each other's strategies and preferences. This assumption is very strong for real life where differences in perception affecting the decision making process seem to be the rule rather...

We introduce an asset-allocation framework based on the active control of the value-at- risk of the portfolio. Within this framework, we compare two paradigms for making the allocation using neural networks. The first one uses the network to make a forecast of asset behavior, in conjunction with...

We provide results for the valuation of European style contingent claims for a large class of specifications of the underlying asset returns. Our valuation results obtain in a discrete time, infinite state-space setup using the no-arbitrage principle and an equivalent martingale measure. Our...

Equity risk measured by beta is of great interest to both academics and practitioners. Existing estimates of beta use historical returns. Many studies have found option-implied volatility to be a strong predictor of future realized volatility. We .nd that option-implied volatility and skewness...

A lingering topic in corporate governance is whether corporate directors should be protected against shareholder lawsuits and whether such protection reduces the incentives of directors to monitor appropriately the behaviour of corporate officers. To achieve this goal, we examine whether...

Standard empirical investigations of jump dynamics in returns and volatility are fairly complicated due to the presence of latent continuous-time factors. We present a new discrete-time framework that combines heteroskedastic processes with rich specifications of jumps in returns and volatility....

This paper extends the use of Rao (1982b)'s Quadratic Entropy (RQE) to modern portfolio theory. It argues that the RQE of a portfolio is a valid, exible and unifying approach to measuring portfolio diversification. The paper demonstrates that portfolio's RQE can encompass most existing measures,...

We provide an introductory review to the application of the theory of incentives under asymmetry of information to the exploitation and management of natural resources. We concentrate mostly on principalagent problems with adverse selection as posed by the regulation of nonrenewable resources,...