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  <title><![CDATA[Hereditary Portfolio Optimization with Memory]]></title>
  <body><![CDATA[<p><strong>TITLE:</strong> Hereditary Portfolio Optimization with Memory
</p><p><strong>SPEAKER:</strong> Dr. Mou-Hsiung (Harry) Chang</p><p><strong>ABSTRACT:</strong></p><p>In this talk, we consider an infinite time horizon portfolio 
optimization problem in a market that consists of one savings account 
and one stock account whose unit price satisfies a nonlinear stochastic 
functional differential equation. Within the solvency region the 
investor is allowed to consume from the savings account and can make 
transactions between the two assets subject to paying capital-gain taxes 
as well as a fixed plus proportional transaction cost. The main 
objective is to seek an optimal consumption-investment strategy in order 
to maximize the expected utility from the total discounted consumption 
over the infinite time horizon. The portfolio optimization problem is 
formulated as a stochastic control problem that involves both the 
classical and impulse controls. A quasi-variational HJB inequality for 
the value function is derived and the verification theorem for the 
optimal investment consumption strategy is obtained. The value function 
is also shown to be the unique viscosity solution of the HJB inequality.
<br />
<br />Bio: Dr. M. H. Chang is currently the manager of the Probability &amp; 
Statistics Program and acting division chief of the Mathematical 
Sciences Division at the U. S. Army Research Office (ARO). Prior to 
joining ARO, Dr. Chang had been a tenured professor in the Department of 
Mathematical Sciences at the University of Alabama in Huntsville (UAH) 
for twenty-eight years and had served as Chair of the Mathematical 
Sciences Department for eight years. He received his B.S. in Applied 
Mathematics from National Chung-Hsing University (in Taiwan) and his 
M.S. and Ph.D. in Mathematics from the University of Rhode Island.
</p><p>Dr. Chang publishes extensively in stochastic analysis, stochastic 
control, mathematical finance, and quantum Markov processes. He has 
published one research monograph “Stochastic Control of Hereditary 
Systems and Applications”, Volume 59 of the Stochastic Modeling and 
Applied Probability Series, Springer, New York, January 2008, ISBN 
978-0-387-75805-3, more than 60 referred journal articles, and has made 
more than 80 invited presentations at professional conferences and 
universities. He is currently an associate editor for “Journal of 
Applied Mathematics and Stochastic Analysis” and “Stochastic Analysis 
and Applications”. He has also served as a referee for numerous 
mathematics and applied mathematics journals.
</p>]]></body>
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