Empirical Study on Volatility Timing Skills in Chinese Mutual Fund Market PDF Download
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Author: Yang Zhao (M.Fin.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 246
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Book Description
Author: Yang Zhao (M.Fin.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 246
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Book Description
Author: Xiang Huang
Publisher:
ISBN:
Category :
Languages : en
Pages : 92
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Author: Yuliang Zhao
Publisher:
ISBN:
Category :
Languages : en
Pages : 94
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Author: Stéphane Goutte
Publisher: Springer Nature
ISBN: 3030985423
Category : Business & Economics
Languages : en
Pages : 137
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Book Description
This book analyses the impact of the COVID-19 pandemic in different areas of Finance emphasizing the contagion effect in capital markets. The volume presents evidence-based case studies from the global financial crisis that followed after the onset of the pandemic in March 2020.
Author: Aswath Damodaran
Publisher: John Wiley & Sons
ISBN: 1118235614
Category : Business & Economics
Languages : en
Pages : 615
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Book Description
The guide for investors who want a better understanding of investment strategies that have stood the test of time This thoroughly revised and updated edition of Investment Philosophies covers different investment philosophies and reveal the beliefs that underlie each one, the evidence on whether the strategies that arise from the philosophy actually produce results, and what an investor needs to bring to the table to make the philosophy work. The book covers a wealth of strategies including indexing, passive and activist value investing, growth investing, chart/technical analysis, market timing, arbitrage, and many more investment philosophies. Presents the tools needed to understand portfolio management and the variety of strategies available to achieve investment success Explores the process of creating and managing a portfolio Shows readers how to profit like successful value growth index investors Aswath Damodaran is a well-known academic and practitioner in finance who is an expert on different approaches to valuation and investment This vital resource examines various investing philosophies and provides you with helpful online resources and tools to fully investigate each investment philosophy and assess whether it is a philosophy that is appropriate for you.
Author: Gregory Connor
Publisher: Princeton University Press
ISBN: 1400835291
Category : Business & Economics
Languages : en
Pages : 400
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Book Description
Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective. Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts. This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.
Author: Wayne Ferson
Publisher: MIT Press
ISBN: 0262039370
Category : Business & Economics
Languages : en
Pages : 497
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Book Description
An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Author: Söhnke M. Bartram
Publisher: CFA Institute Research Foundation
ISBN: 195292703X
Category : Business & Economics
Languages : en
Pages : 95
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Book Description
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
Author: Merritt B. Fox
Publisher:
ISBN: 9781982966850
Category : Securities
Languages : en
Pages : 476
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Author: Roy Henriksson
Publisher:
ISBN: 9781021216878
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
