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Fractal approaches for modeling fina...
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Nekrasova, Inna, (1962-)
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Fractal approaches for modeling financial assets and predicting crises
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Fractal approaches for modeling financial assets and predicting crises/ Inna Nekrasova, Oxana Karnaukhova and Bryan Christiansen, editors.
其他作者:
Nekrasova, Inna,
出版者:
Hershey, Pennsylvania :IGI Global, : [2017],
面頁冊數:
1 online resource (xviii, 306 p.)
內容註:
Chapter 1. An econophysics approach to introduction uncertainty in dynamics of complex market structural models -- Chapter 2. Fractal properties of financial assets and forcasting financial crisis -- Chapter 3. On the impact of Long memory on market risk: pre- and post-crisis evidences Long memory and stock market risk -- Chapter 4. Predicting financial crises in a globalized world: the case of the Turkish banking sector -- Chapter 5. Global crisis and financial distress likelihood of SMEs: some evidence from panel data regression -- Chapter 6. The effects of behavioral factors on the creditworthiness of small-scale enterprises -- Chapter 7. Modeling the impact of crises on evolution of pension systems -- Chapter 8. Financial and economic security of BRICS countries -- Chapter 9. The use of fractal analysis in assessing the reliability of taxpayers information -- Chapter 10. Applying neural networks for modeling of financial assets -- Chapter 11. Neuro-linguistic-programming-based modeling of stock markets -- Chapter 12. Volatility spillover between developed and developing markets during crisis period -- Chapter 13. Riesz potential in generalized h{umlaut}older spaces.
標題:
Finance - Mathematical models. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3767-0
ISBN:
9781522537687 (ebook)
Fractal approaches for modeling financial assets and predicting crises
Fractal approaches for modeling financial assets and predicting crises
[electronic resource] /Inna Nekrasova, Oxana Karnaukhova and Bryan Christiansen, editors. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (xviii, 306 p.)
Includes bibliographical references and index.
Chapter 1. An econophysics approach to introduction uncertainty in dynamics of complex market structural models -- Chapter 2. Fractal properties of financial assets and forcasting financial crisis -- Chapter 3. On the impact of Long memory on market risk: pre- and post-crisis evidences Long memory and stock market risk -- Chapter 4. Predicting financial crises in a globalized world: the case of the Turkish banking sector -- Chapter 5. Global crisis and financial distress likelihood of SMEs: some evidence from panel data regression -- Chapter 6. The effects of behavioral factors on the creditworthiness of small-scale enterprises -- Chapter 7. Modeling the impact of crises on evolution of pension systems -- Chapter 8. Financial and economic security of BRICS countries -- Chapter 9. The use of fractal analysis in assessing the reliability of taxpayers information -- Chapter 10. Applying neural networks for modeling of financial assets -- Chapter 11. Neuro-linguistic-programming-based modeling of stock markets -- Chapter 12. Volatility spillover between developed and developing markets during crisis period -- Chapter 13. Riesz potential in generalized h{umlaut}older spaces.
Restricted to subscribers or individual electronic text purchasers.
"This book explores fractal structure and long-term memory of the financial markets to predict prices of financial assets and financial crisis. It identifies the criteria to select financial assets for investment and the creation of a randomized algorithm of R/S-analysis, which allows to give a more accurate assessment of the fractal dimension in the financial markets"--
ISBN: 9781522537687 (ebook)Subjects--Topical Terms:
578740
Finance
--Mathematical models.
LC Class. No.: HG106 / .F715 2017e
Dewey Class. No.: 332.01/51472
Fractal approaches for modeling financial assets and predicting crises
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Chapter 1. An econophysics approach to introduction uncertainty in dynamics of complex market structural models -- Chapter 2. Fractal properties of financial assets and forcasting financial crisis -- Chapter 3. On the impact of Long memory on market risk: pre- and post-crisis evidences Long memory and stock market risk -- Chapter 4. Predicting financial crises in a globalized world: the case of the Turkish banking sector -- Chapter 5. Global crisis and financial distress likelihood of SMEs: some evidence from panel data regression -- Chapter 6. The effects of behavioral factors on the creditworthiness of small-scale enterprises -- Chapter 7. Modeling the impact of crises on evolution of pension systems -- Chapter 8. Financial and economic security of BRICS countries -- Chapter 9. The use of fractal analysis in assessing the reliability of taxpayers information -- Chapter 10. Applying neural networks for modeling of financial assets -- Chapter 11. Neuro-linguistic-programming-based modeling of stock markets -- Chapter 12. Volatility spillover between developed and developing markets during crisis period -- Chapter 13. Riesz potential in generalized h{umlaut}older spaces.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3767-0
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