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technology as in Wallace and Ziemba (2005). The Bradley and Crane model<br />

ushered in a whole literature in bond portfolio management and the management<br />

of fixed income securities; see, for example, the early book of Dempster (1980)<br />

from the first international conference on stochastic programming and the papers<br />

by Mulvey and Zenios (1994), Golub et al. (1995), Zenios et al. (1998) and<br />

Bertocchi and Dupacova in Zenios and Ziemba (2006, 2007) for the current state<br />

of this literature which has moved more to the SP modeling approach using<br />

complex bond pricing which Bradley and Crane initiated in this paper. The<br />

Kusy and Ziemba approach was the first of many aggregated ALM models<br />

which include the Russell-Yasuda model (see Carino and Ziemba, 1998; and<br />

Carino et al, 1994, 1998) and the Siemens Austria pension fund model (see<br />

Geyer et al, 2005) and the several papers on related applications that are<br />

collected in Ziemba and Mulvey (1998), Wallace and Ziemba (2005), the Zenios<br />

and Ziemba ALM Handbook (2006, 2007), and Zenios (2007). A significant<br />

contribution of this line of research, that has been made possible due to the<br />

flexibility of stochastic optimization models to integrate through scenarios<br />

diverse multi-dimensional risk factors, is towards enterprise wide risk management.<br />

Significant improvements in the risk-reward profile of an institution can<br />

be achieved with integrative risk management models using stochastic programming;<br />

see e.g. Babbel and Staking (1991), Consiglio, Cocco and Zenios (2001),<br />

Dempster (2002) and Zenios and Ziemba (2006, 2007).<br />

Section 2 of Part V deals with models of optimal capital accumulation and<br />

portfolio selection. Neave presents conditions for a consumer's multiperiod utility<br />

function to exhibit both decreasing absolute and increasing relative risk<br />

aversion. He shows that these properties are preserved through maximization<br />

and expectation operations over time. Although some generalizations are possible,<br />

Neave essentially solves this problem.<br />

Samuelson and Merton in a pair of companion articles in 1969 devised the<br />

discrete time and continuous time dynamic portfolio consumption-investment<br />

models, respectively, which are used frequently in current research. Merton's<br />

paper and his 1971 paper in Section 4 of Part V are highly related to current<br />

continuous time models such as those described in his book (Merton, 1992)<br />

and in the strategic asset allocation work of Brennan and Schwartz (1998),<br />

Brennan et al. (1997) and Campbell and Viceira (2002), as well as the Black<br />

and Scholes (1973) and Merton (1973) option pricing models. For option<br />

pricing, the continuous time model is essential but for practical asset-liability<br />

modeling the discrete time multiperiod stochastic programming models are more<br />

practical as they allow modeling more of the real constraints and preferences<br />

xx PREFACE AND BRIEF NOTES TO THE 2006 EDITION

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