Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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C: FINANCE46DU6
The paper points to a coverage of the latest research techniques and findings relating to the econometric analysis of financial markets. It contains a wealth of new materials reflecting the developments during the last decade or so. Particular attention is paid to the wide range of nonlinear models that are used to analyze financial data observed at high frequencies and to the long memory characteristics found in financial time series. There is also a discussion, briefly, of the treatment of volatility, chaos, the Fed model, stochastic estimation and Bayesian estimation, the Fed model and tail dependent time series models.
Amaresh Das. 2013. \u201cFinancial Time Series -Recent Trends in Econometrics\u201d. Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 13 (GJMBR Volume 13 Issue C5): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 131
Country: United States
Subject: Global Journal of Management and Business Research - C: Finance
Authors: Amaresh Das (PhD/Dr. count: 0)
View Count (all-time): 123
Total Views (Real + Logic): 4880
Total Downloads (simulated): 2578
Publish Date: 2013 05, Tue
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Neural Networks and Rules-based Systems used to Find Rational and
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The paper points to a coverage of the latest research techniques and findings relating to the econometric analysis of financial markets. It contains a wealth of new materials reflecting the developments during the last decade or so. Particular attention is paid to the wide range of nonlinear models that are used to analyze financial data observed at high frequencies and to the long memory characteristics found in financial time series. There is also a discussion, briefly, of the treatment of volatility, chaos, the Fed model, stochastic estimation and Bayesian estimation, the Fed model and tail dependent time series models.
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