Applied Optimization 2003
DOI: 10.1007/b101992
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Stochastic Modeling in Economics and Finance

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Cited by 16 publications
(5 citation statements)
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“…The use of approximation by Fourier series (7), (8) of periodic political component of discount coefficient is proposed. These approaches significantly expand the flexibility of the process of forecasting the effectiveness of an investment business project by more accurately taking into account the influence of factors of the external economic environment compared to traditional methods [18,19].…”
Section: Discussion Of Research Results On the Application Of The Dev...mentioning
confidence: 99%
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“…The use of approximation by Fourier series (7), (8) of periodic political component of discount coefficient is proposed. These approaches significantly expand the flexibility of the process of forecasting the effectiveness of an investment business project by more accurately taking into account the influence of factors of the external economic environment compared to traditional methods [18,19].…”
Section: Discussion Of Research Results On the Application Of The Dev...mentioning
confidence: 99%
“…Present value (NPV) -net present value. Traditionally, it is calculated according to the PV determination scheme [18][19][20] as follows:…”
Section: Definition and Justification Of Financial And Eco Nomic Indi...mentioning
confidence: 99%
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“…To produce results about the sensitivity of the solution distance with respect to the tree distance, we propose three portfolio models very well known in the literature that discusses stochastic optimization applied to financial problems, see e. g. [2,5,6,19]. The three models are: the maximization of the average value-at-risk (AV@R), the maximization of the expected wealth and the minimization of the difference between the expected wealth and its AV@R. In particular, the third model has recently been studied in [6] and [4].…”
Section: Portfolio Selection Modelsmentioning
confidence: 99%
“…When the stochastic random variable and the optimal decision evolve along a sequence of temporal stages, the framework becomes a multistage stochastic optimization, see [17]. Financial problems require models that very well interface with multistage stochastic optimization because they typically need to find an optimal portfolio allocation in financial assets whose future return is uncertain, see [2,3,5,6,19]. Therefore, the implementation of a multistage stochastic model follows the characterization of the stochastic environment in which the problem is defined.…”
Section: Introductionmentioning
confidence: 99%