نتایج جستجو برای: constrained portfolio optimization

تعداد نتایج: 397947  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تفرش - دانشکده ریاضی 1389

مسأله بهینه سازی با قیود محدب بعنوان یکی از مسائل مهم و اساسی در بهینه سازی مطرح میباشد. مسائل برنامه ریزی خـطی حالــت خاصی از چنین مسائلی می باشند. در اینجا مسأله بهینه سازی غیرخــطی با قیود محدب، در حالتی بیان میشود که قیود محدب را بصورت قیود کراندار ساده داشته باشیم. یعنی، تنها متغیرهای مسأله از بالا و پایین کراندار باشند. در چند دهه اخیر روش های بسیاری (روش های یکنوا و غیریکنوا ) برای حل ای...

2014
Puja Das Nicholas Johnson Arindam Banerjee

In portfolio selection, it often might be preferable to focus on a few top performing industries/sectors to beat the market. These top performing sectors however might change over time. In this paper, we propose an online portfolio selection algorithm that can take advantage of sector information through the use of a group sparsity inducing regularizer while making lazy updates to the portfolio...

2004
Robert Elliott

In this work introduce an adaptive method of portfolio optimization. The basic idea is to describe essential movements of the stock price using a hidden Markov model and to calculate the optimal portfolio using a recursive algorithm. The portfolio optimization is adaptive in the sense that the standard EM–algorithm fits the model to historical data, which improves the portfolio performance.

2003
Paul R. Kleindorfer Lide Li

This paper considers the optimization of portfolios of real and contractual assets, including derivative instruments, subject to a Value-at-Risk (VaR) constraint, with special emphasis on applications in electric power. The focus is on translating VaR definitions for a longer period of time, say a year, to decisions on shorter periods of time, say a week or a month. Thus, if a VaR constraint is...

Journal: :Journal of Intelligent and Fuzzy Systems 2014
M. Gunasekaran K. S. Ramaswami

This paper addresses about an approach that suggests for stock portfolio optimization using the combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Capital Asset Pricing Model (CAPM). Stock portfolio optimization aims to determine which of the stocks to be added to a portfolio based on the investor’s needs, changing economic and market conditions. In order to construct an efficient...

2008
MAYANK GOEL

We discuss a class of risk-sensitive portfolio optimization problems. We consider the portfolio optimization model investigated by Nagai in 2003. The model by its nature can include fixed income securities as well in the portfolio. Under fairly general conditions, we prove the existence of optimal portfolio in both finite and infinite horizon problems.

2015
Barret Pengyuan Shao Svetlozar T. Rachev Yu Mu

In this article, we apply the mean-expected tail loss (ETL) portfolio optimization to the consensus temporary earnings forecasting (CTEF) data from global equities. The time series model with multivariate normal tempered stable (MNTS) innovations is used to generate the out-of-sample scenarios for the portfolio optimization. We find that (1) the CTEF variable continues to be of value in portfol...

2012
Aleš Kresta

Mathematical programming methods dominate in the portfolio optimization problems, but they cannot be used if we introduce a constraint limiting the number of different assets included in the portfolio. To solve this model some of the heuristics methods (such as genetic algorithm, neural networks and particle swarm optimization algorithm) must be used. In this paper we utilize binary particle sw...

Journal: :Operations Research 2011
Joel Goh Melvyn Sim

We introduce an algebraic modeling language, named ROME, for a class of robust optimizationproblems. ROME serves as an intermediate layer between the modeler and optimization solverengines, allowing modelers to express robust optimization problems in a mathematically meaningfulway. In this paper, we highlight key features of ROME which expediates the modeling and subsequentnumer...

Journal: :رادار 0
مصطفی علی مسیمر رضا محسنی علی عزیزی واحد

in recent years, wavelet packet modulation ofdm (wpm-ofdm) signals have been introduced for radar applications. these signals have important properties such as inherent high range resolution and high resistance of radar system against jamming reception. this paper investigates the problem of designing these family of signals according to the following criteria: constrained maximization of the d...

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