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Search: subject:"TECHNICAL ANALYSIS"
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fundamental analysis
Finanzanalyse
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Bask, Mikael
5
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1
Nvidia's stock returns prediction using machine learning techniques for time series forecasting problem
Chlebus, Marcin
;
Dyczko, Michał
;
Woźniak, Michał
- In:
Central European economic journal
8
(
2021
)
55
,
pp. 44-62
Statistical learning models have profoundly changed the rules of trading on the stock exchange. Quantitative analysts try to utilise them predict potential profits and risks in a better manner. However, the available studies are mostly focused on testing the increasingly complex machine learning...
Persistent link: https://www.econbiz.de/10012799150
Saved in:
2
Nvidia's stock returns prediction using machine learning techniques for time series forecasting problem
Chlebus, Marcin
;
Dyczko, Michał
;
Woźniak, Michał
-
2020
Persistent link: https://www.econbiz.de/10012322190
Saved in:
3
Methods of analysis of equity securities risk and return : issues and prospects
Gorbunova, N. A.
- In:
European research studies
19
(
2016
)
3A
,
pp. 228-249
Persistent link: https://www.econbiz.de/10012009403
Saved in:
4
Analysis of the implementation of a stock investment strategy based on a decision aid tool
Vasconcellos, Leão Lyrio Maurício
;
Wlademir, Prates
; …
- In:
Contaduría y Administración
60
(
2015
)
1
,
pp. 113-144
The present study analyzes the interface between two disciplinary fields - finance and operational research. In this sense, it integrates two approaches to investment analysis - fundamental and technical, as well as an investor’s concern at the time of resources allocation in a Buy & Hold...
Persistent link: https://www.econbiz.de/10011096715
Saved in:
5
A survey of investors' share evaluation methods in Nigeria
Tijjani, Bashir
- In:
Journal for global business advancement : JGBA
12
(
2019
)
5
,
pp. 670-692
Persistent link: https://www.econbiz.de/10012392289
Saved in:
6
Heterogeneous Expectations in Asset Pricing:Empirical Evidence from the S&P500
Chiarella, Carl
;
He, Xue-Zhong
;
Zwinkels, Remco C.J.
-
Finance Discipline Group, Business School
-
2014
This paper empirically assesses heterogeneous expectations in asset pricing. We use a maximum likelihood approach on S&P500 data to estimate a structural model. Our empirical results are consistent with a market populated with fundamentalists and chartists. In addition, agents switch between...
Persistent link: https://www.econbiz.de/10010883504
Saved in:
7
Technical
Analysis
versus Fundamental Analysis of Securities
ANGHEL, Madalina - Gabriela
- In:
Romanian Statistical Review Supplement
61
(
2013
)
2
,
pp. 257-262
In the selection of the securities it uses two types of analysis:
technical
analysis
and fundamental analysis. In …
Persistent link: https://www.econbiz.de/10010660786
Saved in:
8
Application of Ensemble Learning for Views Generation in Meucci Portfolio Optimization Framework
Didenko, Alexander
;
Demicheva, Svetlana
-
Volkswirtschaftliche Fakultät, …
-
2013
Modern Portfolio Theory assumes that decisions are made by individual agents. In reality most investors are involved in group decision-making. In this research we propose to realize group decision-making process by application of Ensemble Learning algorithm, in particular Random Forest....
Persistent link: https://www.econbiz.de/10011107934
Saved in:
9
Effectiveness of Various Types of Analysis in Investment Decisions on the Stock Market: Fundamental Analysis and
Technical
Analysis
Ani, Dumitrache
;
Ionel, Vãtãºoiu Cristian
- In:
Ovidius University Annals, Economic Sciences Series
XII
(
2012
)
2
,
pp. 1114-1119
The investor interested in efficient capital market investments should make an analysis of quoted shares to meet a series of questions: what to buy?, when to buy? and when to sell?. Such analysis can be done in two directions: technical and fundamental analysis. One of the elements to be...
Persistent link: https://www.econbiz.de/10010679422
Saved in:
10
Stock market diagnosis
Panait, Iulian
-
Volkswirtschaftliche Fakultät, …
-
2011
This paper represents a review of the book „Stock market diagnosis” by Anca Gheorghiu, Victor Publishing House, Bucharest, 2011
Persistent link: https://www.econbiz.de/10011259847
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