Financial Forecasting
The Corporate Financial Forecasting Based on Least Squares Support Vector Machines Methods
... foreign financial forecasting situation of listed companies and it is based on least squares support vector ...are forecasting data samples, and building financial forecasting model of ...
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Financial Forecasting by Autoregressive Conditional Heteroscedasticity (ARCH) Family: A Case of Mexico
... Financial forecasting is a broad subject with various subcategories and ...impending financial and economic condition of countries, business valuation, risk accompanying the investment, and so ...
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Neural networks for financial forecasting
... Unlike Schonenberg, or Varfis and Versino, who used different time-series information derived from one specific type of price index for inputs to the neural model, there are others like [r] ...
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Review on Financial Forecasting Using Neural Network and Data Mining Technique
... technology, financial data are being generated and accumulated at an extraordinary ...of financial data to support companies and individuals in strategic planning and investment decision- ...of ...
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Essays in financial forecasting
... statistic of asymptotic properties on earlier These results extend the findings of Clarida and Taylor 1997 who, using a linear VECM framework for the term structure of forward foreign ex[r] ...
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Economic evaluation of financial forecasting
... ABSTRACT This thesis examines the economic evaluation of forecasting strategies based on past prices, bringing together academics and practitioners techniques Forecasting methods based o[r] ...
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Escalation of Forecasting Accuracy through Linear Combiners of Predictive Models
... to financial forecasting such as index prediction, foreign exchange rate prediction, business failure and bankruptcy prediction, scoring of credit limit, interest rate forecasting, portfolio ...
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Forecasting in Financial Data Context
... the financial data and time series with a high rate of accuracy but some inherent shortcomings of NN, makes it difficult to be deployed as an analytical tool for financial engineering ...popular ...
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Extreme learning with chemical reaction optimization for stock volatility prediction
... Extreme learning machine (ELM) allows for fast learning and better generalization performance than conventional gradient-based learning. However, the possible inclusion of non-optimal weight and bias due to random ...
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Online Full Text
... Independent component analysis (ICA) is a branch of factor analysis. Making the factors as independent as possible [1], ICA owns a different process for component processing with conventional factor analysis concepts. ...
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Hybrid Network of Neuro Fuzzy based Decision Tool for Stock Market Analysis
... financial forecasting is not restricted only to the technical analysis approach, but has also been applied to the fundamental ...political, financial, economic factors ...of forecasting stock ...
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1402nd Meeting of the Council and the Ministers for Health meeting within the Council. Council Press Release 6291/90 (Presse 65), Brussels, 17 May 1990
... A consistent approach for costing of the management of care for HIV sero-positive persons and people with AIDS would assist the financial forecasting process in Member States' Party on A[r] ...
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FORECASTING FINANCIAL MARKET REACTION USINGRNN-LSTM ANDNLP TECHNIQUES
... This paper includes 2 different modules of predicting future stock price using RNN-LSTM and forecasting future market reaction using sentiment analysis. Predicting future stock price includes fetching data from ...
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Forecasting Financial Stress Indices in Korea: A Factor Model Approach
... Note that these statistics are primarily based on the least squares (LS) principles, meaning that our major focus is to develop a good model that out-of-sample forecasts FSIs well on average. Alternatively, one may ...
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Research on Financial Fraud Forecasting Recognition Based on Machine Learning
... with financial fraud from companies listed in China from 1993 to 2016 as the research object, as well as 523 matching fraud-free companies of the same period and ...The financial fraud warning model was ...
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Topological optimisation of artificial neural networks for financial asset forecasting
... The movement of some asset prices such as stock prices are stochastic in nature. Ultimately it argues for the existence of a stochastic mapping relationship between the historical and future values. In some commonly ...
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Economic and Financial Crises and the Predictability of U S Stock Returns
... i.e., the threshold is equal to the optimal threshold that minimizes the regression error. Figure 2 shows that the optimal threshold, , is estimated with great precision, because the statistic, , rapidly increases as . ...
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A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies
... the financial reports of top global logistics companies, this study uses a DEA model to calculate corporate efficiency by implementing a Grey forecasting approach to forecast future sustainability ...
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Performance evaluation of series and parallel strategies for financial time series forecasting
... series forecasting remains ambiguous on the choice of combination strategy, the core objective of this study is to introduce an effective com- bination methodology and elucidate how individual models can be ...
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An assessment of wind power forecasting models and its financial implications for the traders
... DVEP has both wind power forecasts and weather forecasts at its disposal. For the wind power forecast, two different parties forecast the production of each particular wind park up to 3 days ahead, from which the ...
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