This article fuses two pieces of theory to make a tractable model for asset pricing. The first is the theory of asset pricing using a stochastic discounting function (SDF). This will be reviewed. The second is to model uncertainty in an economy using a Markov chain. Using the semi-martingale dynamics for the chain these models can be calibrated and asset valuations derived. Interest rate models, stock price models, futures pricing, exchange rates can all be introduced endogenously in this framework.John van der Hoek and Robert J. Elliot
In this entry we characterize pricing kernels or stochastic discount factors that are used to repres...
Current assessments of credit and financial risk based on deterministic analyses provide only a limi...
A numerical method for pricing financial derivatives based on continuous-time Markov chains is propo...
The paper discusses the pricing of derivatives using a stochastic discount factor modeled as a regim...
The valuation process that economic agents undergo for investments with uncertain payoff typically d...
Thesis (Ph. D.)--University of Washington, 1997This paper introduces a new approach to testing conti...
Latent variable models in finance originate both from asset pricing theory and time series analysis....
This paper considers a problem of asset pricing for case when the short-term interest rate process d...
This paper considers a problem of asset pricing for case when the short-term interest rate process d...
We address the process of discounting in random environments, which allows valuation of the future i...
This paper surveys the field of asset pricing. The emphasis is on the interplay between theory and e...
Abstract: This paper applies the stochastic dynamic programming theory in Markov Decision Process (M...
We address the process of discounting in random environments, which allows valuation of the future i...
In this thesis we present three financial applications of Markov chain models based on three separat...
Using the Pricing Equation in a panel-data framework, we construct a novel consistent estimator of t...
In this entry we characterize pricing kernels or stochastic discount factors that are used to repres...
Current assessments of credit and financial risk based on deterministic analyses provide only a limi...
A numerical method for pricing financial derivatives based on continuous-time Markov chains is propo...
The paper discusses the pricing of derivatives using a stochastic discount factor modeled as a regim...
The valuation process that economic agents undergo for investments with uncertain payoff typically d...
Thesis (Ph. D.)--University of Washington, 1997This paper introduces a new approach to testing conti...
Latent variable models in finance originate both from asset pricing theory and time series analysis....
This paper considers a problem of asset pricing for case when the short-term interest rate process d...
This paper considers a problem of asset pricing for case when the short-term interest rate process d...
We address the process of discounting in random environments, which allows valuation of the future i...
This paper surveys the field of asset pricing. The emphasis is on the interplay between theory and e...
Abstract: This paper applies the stochastic dynamic programming theory in Markov Decision Process (M...
We address the process of discounting in random environments, which allows valuation of the future i...
In this thesis we present three financial applications of Markov chain models based on three separat...
Using the Pricing Equation in a panel-data framework, we construct a novel consistent estimator of t...
In this entry we characterize pricing kernels or stochastic discount factors that are used to repres...
Current assessments of credit and financial risk based on deterministic analyses provide only a limi...
A numerical method for pricing financial derivatives based on continuous-time Markov chains is propo...