[PDF] Top 20 Predicting Stock Market Indices Using Classification Tools
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Predicting Stock Market Indices Using Classification Tools
... index using artificial neural network, decision tree, and k-nearest ...mining tools, CART (Feldman and Gross, 2005; Razi and Athappilly, 2005; Moreira et ...prediction using SVM (Ince and Trafalis, ... See full document
14
Estimating stock closing indices using a GA-weighted condensed polynomial neural network
... in stock market indices can provide financial managers and individual investors with strategically valuable ...However, predicting the closing prices of stock indices remains a ... See full document
22
Uncertainty and Volatility in MENA Stock Markets During the Arab Spring
... real market the participants are more than two categories they are many investors in the market each one of them has his own reason to buy or sale at different holding stock period , there are the ... See full document
25
Analyzing and Predicting Stock Market Using Data Mining Techniques – A Review
... day’s stock information like open, high, low, close price of stock along with volume ...like stock volatility, increase or decrease in volumes, support and resistance levels, overbought and oversold ... See full document
6
Modeling exchange rate dynamics in India using stock market indices and macroeconomic variables
... and stock market in India as well as determine some of the economic factors which could have influenced the Indian rupee vis-à-vis the US Dollar over the period ...three market indices; BSE ... See full document
19
Predicting stock market movements using network science: an information theoretic approach
... specific stock or index influence that of other indices or stocks and how a specific state propagates through out the nodes in stock market ...the stock mar- ket as a single index by ... See full document
14
FORECASTING INDEX MOVEMENTS: A STUDY WITH REFERENCE TO SELECTED NSE SECTORAL INDICES.
... different stock market index with different study ...Individual stock price with different tools like ANN, Hurst Component, AFRIMA and Spectral Density or Wavelet model with Weekly or monthly ... See full document
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Predicting Stock Prices Using Polynomial Classifiers: The Case of Dubai Financial Market
... Predicting stock price movements is a challenging task for academicians and ...quantitative tools for traders and investors in their attempt to gain advantage when making investment or trading ...in ... See full document
8
Predicting the Stock Market Efficiency in Weak Form: A Study on Dhaka Stock Exchange
... Dhaka Stock Exchange (DSE) in the weak form using random walk model of Efficient Market Hypothesis (EMH) based on daily return ...profit predicting the historical ... See full document
8
AdaBoost Artificial Neural Network for Stock Market Predicting
... or predicting may exhibit high ...unsatisfactory classification or prediction ...for stock price ...for stock price ...predictor using multiple ANN models, which is different from most ... See full document
7
Stock Market Forecasting Based on Text Mining Technology: A Support Vector Machine Method
... on stock markets but the ways is ...accurate stock market forecasting ...Chinese stock tendency and stock prices based on support vector machine ...vector classification (SVC) ... See full document
11
A Wavelet Based Method to Measure Stock Market Development
... measure stock market devel- ...worldwide market indices from 1996 to ...the classification of stock markets according to their degree of ...simple classification of ... See full document
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Title: A Study on Asymmetric Key Cryptography Algorithms Authors: ASAITHAMBI.N Country: India View_pdf Title: EDM APPLICATIONS AND REPORT ANALYSIS - CASE STUDY Authors: M.Saranyakala Country: India View_pdf Title: Incremental Information Extraction Using Relational Database System & PTQL Authors: Prof. Dhande Mahesh, Ashwini Zankar, Sheetal Paithankar, Kanchan Naik, Shweta Mahale Country: India View_pdf
... classes. Classification has numerous applications, such as fraud detection, target marketing, Student performance prediction, manufacturing, and medical ...for classification is to build a model based ... See full document
8
How do Stocks in BRICS co move with REITs?
... both stock and real estate are important asset prices in household ...increasing stock price to increasing real estate price is termed “wealth effect”, in the sense that increasing stock prices cause ... See full document
27
Analysing correlation between the MSE index and global stock markets
... local market is seen as a possible reason for the isolation of the ...total market capitalisation value of the index stood at ...a market turnover value of 940 ... See full document
20
Are the Bombay stock Exchange Sectoral indices of Indian stock market cointegrated? Evidence using fractional cointegration test
... q µ δ where µ k is a constant associated with the kernel function k, δ ( f , k ) is a function of the unknown spectral density and is estimated using a plug-in method, and p is the characteristic exponent of k. ... See full document
13
Testing for Weak-Form Market Efficiency in the Botswana Stock Market
... A market is considered to be liquid if its securities are traded in with relative ease at turnovers relative to its size, and it is unlikely that a market with low levels of turnovers would have a ... See full document
7
PERFORMANCE OF CAPITAL MARKETS IN THE EU AND IN TURKEY: COINTEGRATION ANALYSIS
... the stock market in Turkey in ...efficient stock market intermediated between investors and companies in facilitating flow of financial resources for fueling economic recovery and ...growth. ... See full document
8
Measuring Macroeconomic Uncertainty in Zimbabwe
... Zimbabwe, using stock market indices - industrial index and mining index - for the period 2010M1 to ...the stock market index trend and stock market returns ... See full document
10
Predicting the direction of US stock markets using industry returns
... Since the alternative specification that includes TS and 3MTH as explanatory variables generally produces a higher in-sample fit, we focus on results of these models. As can be seen from the first column of Table 5, our ... See full document
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