The paper proposes the use of the growth optimal portfolio for pricing and hedging in incomplete markets when there are unobserved factors that have to be filtered. The proposed filtering framework is applicable also in cases when there does not exist an equivalent risk neutral martingale measure. The reduction of the variance of derivative prices for increasing degrees of available information is measured. Copyright Springer Science + Business Media, Inc. 2004financial modeling, stochastic filtering, benchmark approach, growth optimal portfolio, fair pricing under partial information,
In this chapter, we present some recent results about nonlinear filtering for jump diffusion signal ...
• The problem: credit risk and incomplete information • The solution: non-linear filtering and the i...
Risk-minimizing hedging strategies for contingent claims are studied in a general model for intraday...
This paper proposes a filtering methodology for portfolio optimization when some factors of the unde...
This paper proposes a filtering methodology for portfolio optimization when some factors of the unde...
This paper derives a unified framework for portfolio optimization, derivative pricing, financial mod...
This article concerns optimal investment and hedging for agents who must use trading strategies whic...
Abstract. We consider the problem of filtering and control in the setting of portfolio optimization ...
In a financial market we consider three types of investors trading with a finite time horizon wit...
Abstract. This paper derives a unified framework for portfolio optimization, derivative pricing, fin...
All the financial practitioners are working in incomplete markets full of unhedgeable risk-factors. ...
Valuation and hedging of financial derivatives are intrinsically linked concepts. Choosing appropria...
All the financial practitioners are working in incomplete markets full of unhedgeable risk-factors. ...
The paper presents classical and new results on portfolio optimization, as well as the fair pricing ...
In this chapter, we present some recent results about nonlinear filtering for jump diffusion signal ...
In this chapter, we present some recent results about nonlinear filtering for jump diffusion signal ...
• The problem: credit risk and incomplete information • The solution: non-linear filtering and the i...
Risk-minimizing hedging strategies for contingent claims are studied in a general model for intraday...
This paper proposes a filtering methodology for portfolio optimization when some factors of the unde...
This paper proposes a filtering methodology for portfolio optimization when some factors of the unde...
This paper derives a unified framework for portfolio optimization, derivative pricing, financial mod...
This article concerns optimal investment and hedging for agents who must use trading strategies whic...
Abstract. We consider the problem of filtering and control in the setting of portfolio optimization ...
In a financial market we consider three types of investors trading with a finite time horizon wit...
Abstract. This paper derives a unified framework for portfolio optimization, derivative pricing, fin...
All the financial practitioners are working in incomplete markets full of unhedgeable risk-factors. ...
Valuation and hedging of financial derivatives are intrinsically linked concepts. Choosing appropria...
All the financial practitioners are working in incomplete markets full of unhedgeable risk-factors. ...
The paper presents classical and new results on portfolio optimization, as well as the fair pricing ...
In this chapter, we present some recent results about nonlinear filtering for jump diffusion signal ...
In this chapter, we present some recent results about nonlinear filtering for jump diffusion signal ...
• The problem: credit risk and incomplete information • The solution: non-linear filtering and the i...
Risk-minimizing hedging strategies for contingent claims are studied in a general model for intraday...