[BOOK][B] Markov models & optimization
MHA Davis - 2018 - taylorfrancis.com
This book presents a radically new approach to problems of evaluating and optimizing the
performance of continuous-time stochastic systems. This approach is based on the use of a …
performance of continuous-time stochastic systems. This approach is based on the use of a …
Portfolio selection with transaction costs
MHA Davis, AR Norman - Mathematics of operations …, 1990 - pubsonline.informs.org
In this paper, optimal consumption and investment decisions are studied for an investor who
has available a bank account paying a fixed rate of interest and a stock whose price is a log-…
has available a bank account paying a fixed rate of interest and a stock whose price is a log-…
Optimal investment under partial information
T Björk, MHA Davis, C Landén - Mathematical Methods of Operations …, 2010 - Springer
We consider the problem of maximizing terminal utility in a model where asset prices are
driven by Wiener processes, but where the various rates of returns are allowed to be arbitrary …
driven by Wiener processes, but where the various rates of returns are allowed to be arbitrary …
An introduction to nonlinear filtering
MHA Davis, SI Marcus - Stochastic Systems: The Mathematics of Filtering …, 1981 - Springer
In this paper we provide an introduction to nonlinear filtering from two points of view: the
innovations approach and the approach based upon an unnormalized conditional density. The …
innovations approach and the approach based upon an unnormalized conditional density. The …
On a multiplicative functional transformation arising in nonlinear filtering theory
MHA Davis - Zeitschrift für Wahrscheinlichkeitstheorie und …, 1980 - Springer
This paper concerns the nonlinear filtering problem of calculating “estimates” E[f(x t )¦y s , s≦t]
where {x t } is a Markov process with infinitesimal generator A and {y t } is an observation …
where {x t } is a Markov process with infinitesimal generator A and {y t } is an observation …
Piecewise‐deterministic Markov processes: A general class of non‐diffusion stochastic models
MHA Davis - Journal of the Royal Statistical Society: Series B …, 1984 - Wiley Online Library
A general class of non‐diffusion stochastic models is introduced with a view to providing a
framework for studying optimization problems arising in queueing systems, inventory theory, …
framework for studying optimization problems arising in queueing systems, inventory theory, …
European option pricing with transaction costs
MHA Davis, VG Panas, T Zariphopoulou - SIAM Journal on Control and …, 1993 - SIAM
The authors consider the problem of pricing European options in a market model similar to
the Black–Scholes one, except that proportional transaction charges are levied on all sales …
the Black–Scholes one, except that proportional transaction charges are levied on all sales …
The range of traded option prices
MHA Davis, DG Hobson - Mathematical Finance, 2007 - Wiley Online Library
Suppose we are given a set of prices of European call options over a finite range of strike
prices and exercise times, written on a financial asset with deterministic dividends which is …
prices and exercise times, written on a financial asset with deterministic dividends which is …
Optimal capacity expansion under uncertainty
MHA Davis, MAH Dempster, SP Sethi… - Advances in Applied …, 1987 - cambridge.org
Capacity expansion is the process of providing new facilities over time to meet rising demand.
A general mathematical model of this process is presented, incorporating uncertain future …
A general mathematical model of this process is presented, incorporating uncertain future …
[PDF][PDF] A deterministic approach to optimal stopping
MHA Davis, I Karatzas - … Statistics and Optimisation (ed. FP Kelly …, 1994 - math.columbia.edu
M,) where (M,) is the martingale component in the Doob-Meyer decomposition Zt= M,—At of
the Snell envelope (Zt) of (У,). Thus the process (A,) defined by A,:= Mœ—M [is the Lagrange …
the Snell envelope (Zt) of (У,). Thus the process (A,) defined by A,:= Mœ—M [is the Lagrange …