Thesis (Ph. D.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains ix, 162 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 156-162).

Septima Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC 2017 - 7th Ibero-American Conference on Complexity, Informatics and Cybernetics, CICIC 2017; Orlando; United States; 21 March 2017 through 24 March 2017; Code 131437 / The digital management model portfolio emerges as an alternative for the evaluation of the learning that acts as support in the performance of the process of teaching and the continuous improvement of the students learning process, in the course thesis of the computing and systems engineering program, providing the opportunity for being the host of his own learning. The main feature of this tool is that allows the evidence management and the self-assessment of this learning involving cognitive and metacognitive processes leading to consider it one of the most important educational innovations in the university environment.

The diploma thesis focuses on specification of model for trading support. It points to the possible use of artificial intelligence tools. It contains suggestion of model for trading support using artificial intelligence.

Thesis (M.B.A.)--University of Hong Kong, 1984.

Calif., Univ., Dep. of Management Science and Engineering, Diss.--Stanford, 2002. / Kopie, ersch. im Verl. UMI, Ann Arbor, Mich.

This thesis deals with design and implementation of an investment model, which applies methods of Post-modern portfolio theory. Particle swarm optimization (PSO) metaheuristic was used for portfolio optimization and the parameters were analyzed with several experiments. Johnsons SU distribution was used for estimation of future returns as it proved to be the best of analyzed distributions. The result is software application written in Python, which is tested for stability and performance of model in extreme situations.

This thesis deals with the design of a model for trading on financial markets by using artificial intelligence. The work describes some methods of artificial intelligence, description of financial market and stock market trading. The result of this work is a model of an expert system which uses fuzzy logic for investing and a functional model for predicting the course of shares trends using artificial neural networks. Both models algorithms were designed and tested in MATLAB.

<p>Background: The devolopment in the exchange market has attract a large number of investors. The information flow is extensive and it might be hard to follow the dynamic market. Some investors therefore choose to place their capital in a stock portfolio which is manged by a professional firm with no influence from the capital owner, this management is called discretionary managing. </p><p>Purpose: the purpose of the thesis is to examine the working methods and the rationality regarding the management of the discretionary portfolios. The purpose is also to try to examine whether there is a relation between the selected risk, return and fees. </p><p>Realization: in this thesis our primary data comes from interviews with portfolio managers. By means of snowball sample we found portfolio managers in banks and in stock broker firms. Anonymity has been used to promote the right information from our interviews. </p><p>Result: Discretionary portfolio management differ between banks and stock brokers. The managing in the banks has a passive investment strategy and the stock brokers has an active strategy. The chosen stategy characterize the selected risk, expected return and the required fees.</p>

Background: The devolopment in the exchange market has attract a large number of investors. The information flow is extensive and it might be hard to follow the dynamic market. Some investors therefore choose to place their capital in a stock portfolio which is manged by a professional firm with no influence from the capital owner, this management is called discretionary managing. Purpose: the purpose of the thesis is to examine the working methods and the rationality regarding the management of the discretionary portfolios. The purpose is also to try to examine whether there is a relation between the selected risk, return and fees. Realization: in this thesis our primary data comes from interviews with portfolio managers. By means of snowball sample we found portfolio managers in banks and in stock broker firms. Anonymity has been used to promote the right information from our interviews. Result: Discretionary portfolio management differ between banks and stock brokers. The managing in the banks has a passive investment strategy and the stock brokers has an active strategy. The chosen stategy characterize the selected risk, expected return and the required fees.

Tex., Univ., C. T. Bauer College of Business, Diss.--Houston, 2002. / Kopie, ersch. im Verl. UMI, Ann Arbor, Mich. - Enth. 2 Beitr.