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Advances in Investment Analysis and Portfolio Management

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Advances in Investment Analysis and Portfolio Management (New Series) is an annual publication designed to disseminate developments in the area of investment analysis and portfolio management. The publication is a forum for statistical and quantitative analyses of issues in security analysis, portfolio management, options, futures, and other related issues. The objective is to promote interaction between academic research in finance, economics, and accounting and applied research in the financial community.   The chapters in this volume cover a wider range of topics including equity markets, risk return trade-off analysis and portfolio management, and IPOs. In this volume there are 10 chapters, four of them analyze the issues of equity markets: 1. Revisiting U.S. Stock Market Returns: Individual Retirement Accounts; 2. Asset Returns and Monetary Policy in the Emerging Taiwan Financial Markets; 3. On the Intradaily Relationship between Information Revelation and Trade Duration: The Evidence of MSCI Taiwan Stock Index Futures; and 4. Does the Net Flow of Funds Help to Predict the S&P 500 Index? Four of the other six chapters discuss risk return trade-off analysis and portfolio management: 1. An Intertemporal Analysis of Optimal International Asset Allocation; 2. Complexity and the Performance of Investment Portfolios; 3. The Similarity Between Mean-Variance and Mean-Gini: Testing for Equality of Gini Correlations; 4. Estimating Capital Market Parameters: CRSP Versus Yahoo Data.   The remaining two papers are related to IPOs: 1. Distinguishing Quality within the IPO Market and 2. Do IPO Firms have Lower Risk? Evidence from IPO Performance in Different States of the World? In sum, this annual publication covers equity markets, IPO, risk return trade-off analysis, and portfolio management. Therefore, the material covered in this publication is not only useful for academicians and but also for practitioners in the area of Finance.

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Advances in Investment Analysis and Portfolio Management

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