[PDF] Top 20 Clustering Approach to Stock Market Prediction
Has 10000 "Clustering Approach to Stock Market Prediction" found on our website. Below are the top 20 most common "Clustering Approach to Stock Market Prediction".
Clustering Approach to Stock Market Prediction
... --------------------------------------------------------------------ABSTRACT------------------------------------------------------------- Clustering is an adaptive procedure in which objects are clustered or ... See full document
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Economic growth, inflation and stock market development: a panel var approach
... 2000 to 2014 was applied to a panel of 31 countries: Argentina, Austria, Australia, Belgium, Canada, Chile, France, Germany, China (Hong Kong SAR), Indonesia, Ireland, Israel, Japan, Korea Republic, ... See full document
33
Data Mining and Neural Network Techniques in Stock Market Prediction : A Methodological Review
... need to identify empirical rules in order to make ...pattern to predict an outcome. The neural network tries to identify an individual mix of attributes that reveals a particular ...changes ... See full document
11
Momentum Analysis based Stock Market Prediction using Adaptive Neuro-Fuzzy Inference System (ANFIS)
... used to explain the casual relationships between input and output ...fuzzy approach has been applied to different forecasting problems whereby the operator’s expert knowledge is used for ... See full document
6
A new approach to bad news effects on volatility: the Multiple-Sign-Volume sensitive regime EGARCH model (MSV-EGARCH)
... violent market movements. These signi cant market movements, far from being discardable as mere outliers, focus the attention of market participants since their magnitude may be such that they may ... See full document
24
A Wavelet-Based Method to Measure Stock Market Development
... gard to stock market evolution/re-classification, show considerable ...that stock markets can be grouped into three categories designated here as emerging, intermediate (or young mature) and ... See full document
8
Computational Neural Network for Global Stock Indexes Prediction
... that prediction errors for the Shanghai Stock B Index are much higher than all other ...the stock market in China has been growing rapidly and was being speculated in an unpredictable ...the ... See full document
5
Impact of fossil-fuel subsidy removal to the Indonesia stock market
... Regarding to the previous studies about asymetric impact on stock market, there are some researches found its ...model to monitor oil price volatility, and the ARMA GARCH model to ... See full document
58
Book-to-Market Ratio, return on equity and Brazilian Stock Returns
... risk-factor approach (Models 3, 4, 5 and ...was to identify the extent to which the fundamental variables and the risk-factor approach provide additional explanatory power for the stock ... See full document
21
ARTIFICIAL NEURAL NETWORKS - AN APPLICATION TO STOCK MARKET VOLATILITY
... volatility clustering GARCH models are designed to deal with just this set of ...is to provide a volatility measure like a standard deviation – that can be used in financial decisions concerning risk ... See full document
10
Determinants of the implied equity risk premium in Brazil
... tests market determinants of the equity risk premium (ERP) in ...is to demonstrate that the calculation of implied, as opposed to historical ERP makes sense, because it varies, in the expected ... See full document
19
Mining microblogging data to model and forecast stock market behavior
... access to important ...data to model and forecast stock market ...and stock market movements in four technological ...whose stock prices are more likely to be ... See full document
94
Early SME Market Prediction using USDNN
... firms to establish this need they must be given an opportunity to deduce factors that are beneficial for sustaining ...marketing to be considered efficient, such firms must be able to ... See full document
4
A Cluster Feature-Based Incremental Clustering Approach to Mixed Data
... identical to each other is known as Clustering (Seokkyung and McLeod, ...2005). Clustering is an important process for condensing and summarizing information because it is capable of providing a ... See full document
6
Entropy: a new measure of stock market volatility?
... understanding stock market volatility is ...financial market returns are capable of having significant negative effects on risk averse ...traditional approach this phenomenon has been ... See full document
7
Efficient Market Hypothesis in European Stock Markets
... evidence to be more favorable to the random walk hypothesis in those countries’ ...(2004) approach of using several different tests, to avoid that a spurious result from one of the tests might ... See full document
20
A framework for neural network to make business forecasting with hybrid VAR and GA components
... NN’s prediction capability. Two case studies have been carried out to demonstrate how to build our VAR-NN-GA system and its ...able to select variables automatically and makes more accurate ... See full document
6
Drivers of the piigs' stock market returns : a macroeconomic approach
... compared to the aggregate euro area, albeit the strong economic performance of these two countries, in the period running up to the crisis, has been mostly based on unsustainable drivers: an over-reliance ... See full document
71
The Power of Micro-Blogging: How to Use Twitter for Predicting the Stock Market
... order to forecast the Nasdaq-100. We then compared our models to the benchmarks, and it seems that they are able to increase the explanatory power and to provide a better prediction of ... See full document
7
A Survey Paper on Crime Prediction Technique Using Data Mining
... Hot-Spots Prediction Using Support Vector Machine ...Crime prediction and experiment the following approach: for a given percentage of the data and a predefined level of crime rate, we select a ... See full document
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