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Sequential Binary Investment Decisions - A Bayesian Approach (Paperback, Softcover reprint of the original 1st ed. 1988)
Loot Price: R2,759
Discovery Miles 27 590
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Sequential Binary Investment Decisions - A Bayesian Approach (Paperback, Softcover reprint of the original 1st ed. 1988)
Series: Lecture Notes in Economics and Mathematical Systems, 313
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Total price: R2,769
Discovery Miles: 27 690
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This book describes some models from the theory of investment which
are mainly characterized by three features. Firstly, the
decision-maker acts in a dynamic environment. Secondly, the
distributions of the random variables are only incompletely known
at the beginning of the planning process. This is termed as
decision-making under conditions of uncer tainty. Thirdly, in large
parts of the work we restrict the analysis to binary decision
models. In a binary model, the decision-maker must choose one of
two actions. For example, one decision means to undertake the
invest .ment project in a planning period, whereas the other
decision prescribes to postpone the project for at least one more
period. The analysis of dynamic decision models under conditions of
uncertainty is not a very common approach in economics. In this
framework the op timal decisions are only obtained by the extensive
use of methods from operations research and from statistics. It is
the intention to narrow some of the existing gaps in the fields of
investment and portfolio analysis in this respect. This is done by
combining techniques that have been devel oped in investment theory
and portfolio selection, in stochastic dynamic programming, and in
Bayesian statistics. The latter field indicates the use of Bayes'
theorem for the revision of the probability distributions of the
random variables over time."
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