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The spread of financial sophistication through emerging markets worldwide /

The broad theme of Volume 32 of Research in Finance is "The Spread of Financial Sophistication Through Emerging Markets Worldwide." Contributions assess the spread of Initial Public Offerings, the use of derivatives to provide stability, corporate governance in emerging markets, and the pr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Kensinger, John W. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bingley, UK : Emerald, 2016.
Colección:Research in finance ; v. 32.
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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245 0 4 |a The spread of financial sophistication through emerging markets worldwide /  |c edited by John W. Kensinger (University of North Texas, Denton, TX, USA). 
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505 0 |a Front Cover; The Spread of Financial Sophistication Through Emerging Markets Worldwide; Copyright Page; Contents; List of Contributors; Introduction; Total Factor Productivity, Growth, and Entrepreneurship in Emerging Economies; Introduction; Hypotheses Development, Data, and Methodology; Panel Regression Analysis; Policy Implications, Limitations, and Future Research; Notes; Acknowledgments; References; Appendix; Estimating Time-Varying Beta Coefficients: An Empirical Study of US and ASEAN Portfolios; Introduction; Literature Review; Data and Methodology; Data. 
505 8 |a Market Return (Rm) and Risk-Free Rate (Rf)Asset Returns (Ri); Time Varying Beta; Results of Nonparametric, Time Varying Beta; Conclusions; References; Comparative Analysis of Asset Pricing Models Based on Log-Normal Distribution and Tsallis Distribution Using Recurrence Plo ... ; Introduction; Data; Theoretical Background of Pricing Models; Geometrical Brownian Motion (GBM); Tsallis Distribution; Methodology and Approach; Non-Linearity Tests Based on Neural Networks and Taylor Series Approximations; Recurrence Plot (RP). 
505 8 |a Quantification of Recurrence Plots (Recurrence Quantification Analysis) with Confidence IntervalsEmpirical Results; Test for Non-Linearity; White's Neural Network Test; Teräsvirta Neural Network Test; Recurrence Plot and Recurrence Quantification Analysis; Empirical Evidence on Borland and GBM Model; References; Appendix; MATLAB Program for Simulation; Does Liquidity Risk Premium Affect Optimal Portfolio Holdings of U.S. Treasury Securities?; The Conditional Optimal Portfolio Problem; Investor Utility Maximization; Portfolio Choice without Inflation; Portfolio Choice with Inflation. 
505 8 |a Nonparametric EstimationThe Data and Basic Statistics; Empirical Results; Unconditional Portfolio Weights; Conditional Portfolio Weights; Nonparametric Optimal Portfolio Function; Do Weights Really Respond to Changes in Liquidity?; Does a Conditional Allocation Strategy Imply Improved Asset Allocation and Performance?; Conclusions; Notes; References; Size, Value, and Momentum Risk in the Cross-Section of Average Returns and Volatility; Introduction; Related Literature and Our Contribution in Perspective; Data and Methodology; Empirical Results and Interpretations; Descriptive Statistics. 
505 8 |a Cross-Sectional Regressions Using Conditional Mean SpecificationCross-Sectional Regressions Using Conditional Volatility Specification; Robustness Tests; Price of Factor Risk in Up and Down Market; Conclusions; Notes; References; IPO Advertising: A Possible Cause of Short-Term Overvaluation; Introduction; Methodology and Data; Ohlson (1995) Model; Cost of Equity; Industry ROE; Price-to-Valuation Ratio (P/V); Industry-Adjusted Advertising Intensity; Industry Portfolios; Regression Model; Sample Selection of IPOs; Heckman (1979) Selection Model Probit Regression Model; Response Equation. 
504 |a Includes bibliographical references. 
520 |a The broad theme of Volume 32 of Research in Finance is "The Spread of Financial Sophistication Through Emerging Markets Worldwide." Contributions assess the spread of Initial Public Offerings, the use of derivatives to provide stability, corporate governance in emerging markets, and the privatization of the Russian economy. We also gain new insights into applying financial modeling in emerging markets. 
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