نتایج جستجو برای: in his portfolio selection theory
تعداد نتایج: 17159100 فیلتر نتایج به سال:
Mean-Variance (MV) theory for portfolio selection is based on assumptions involving parameters that have to be estimated using historical data. Depending on the method of estimation, the estimates will suffer from estimation error and/or specification error, both of which will effect the portfolio optimization in such a way that the resulting optimal portfolio is not the true optimal portfolio....
let h be a separable hilbert space and let b be the set of bessel sequences in h. by using several interesting results in operator theory we study some topological properties of frames and riesz bases by constructing a banach space structure on b. the convergence of a sequence of elements in b is de_ned and we determine whether important properties of the sequence is preserved under the con...
Portfolio selection problem is one of the most important issues in the area of financial management in which is attempted to allocate wealth to different assets with controlling the return and risk. The aim of this paper is to obtain the optimum portfolio with regard to the cardinality and threshold constraints. In the paper, a novel multi-objective possibilistic programming model is developed ...
Investment decision making is one of the key issues in financial management. Selecting the appropriate tools and techniques that can make optimal portfolio is one of the main objectives of the investment world. This study tries to optimize the decision making in stock selection or the optimization of the portfolio by means of the artificial colony of honey bee algorithm. To determine the effect...
We construct a deep portfolio theory. By building on Markowitz’s classic risk-return trade-off, we develop a self-contained four-step routine of encode, calibrate, validate and verify to formulate an automated and general portfolio selection process. At the heart of our algorithm are deep hierarchical compositions of portfolios constructed in the encoding step. The calibration step then provide...
In the fuzzy set theory, information measures play a paramount role in several areas such as decision making, pattern recognition etc. In this paper, similarity measure based on cosine function and entropy measures based on logarithmic function for IFSs are proposed. Comparisons of proposed similarity and entropy measures with the existing ones are listed. Numerical results limpidly betoken th...
recently, the economic crisis has resulted in instability in stock exchange market and this has caused high volatilities in stock value of exchanged firms. under these conditions, considering uncertainty for a favorite investment is more serious than before. multi-objective portfolio selection (return, liquidity, risk and initial cost of investment objectives) using minmax fuzzy goal programmin...
The most important problem for investors, at the beginning stages of their works, is the way of assigning their investment to one or more different investment alternatives in such a way that with the least possible risk the maximum return become obtainable. In the economic literature this is known as the problem of portfolio selection. This article tries to introduce an efficient way for suppor...
in this investigation the effect of external field on the electron density of nanostructures of cds, cdse, cdte, gaas and polymeric structure of three, four, five and six units of cds as a kind of nanosolar cells has been studied theoretically. as modeling this system in nanodimension, molecular structures has used. specific properties of molecular structures permit us to consider different sym...
The purpose of these lectures is to offer an overview of Stochastic Portfolio Theory, a rich and flexible framework for analyzing portfolio behavior and equity market structure. This theory was developed in the book by E.R. Fernholz (Stochastic Portfolio Theory, Springer 2002) and was studied further in the papers Fernholz (Journal of Mathematical Economics, 1999; Finance & Stochastics, 2001), ...
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