Risk-return Relationship and Portfolio Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Risk-return Relationship and Portfolio Management write by Raj S. Dhankar. This book was released on 2019. Risk-return Relationship and Portfolio Management available in PDF, EPUB and Kindle. This book covers all aspects of modern finance relating to portfolio theory and risk-return relationship, offering a comprehensive guide to the importance, measurement and application of the risk-return hypothesis in portfolio management. It is divided into five parts: Part I discusses the valuation of capital assets and presents various techniques and models used in this context. Part II then addresses market efficiency and capital market models, particularly focusing on measuring market efficiency, which is a crucial factor in making correct investment decisions. It also analyzes the major capital market models like CAPM and APT to determine to what extent they are suitable for use in developing economies. Part III highlights the significance of risk-return analysis as a prerequisite for investment decisions, while Part IV examines the selection and performance appraisals of portfolios against the backdrop of the risk-return relationship. It also examines new tools such as the value-at-risk application for mutual funds and the applications of the price-to-earnings ratio in portfolio performance measurement. Lastly, Part V explores contemporary issues in finance, including the relevance of Islamic finance in the increasingly volatile global financial system.
Risk-Return Relationship and Portfolio Management
Risk-Return Relationship and Portfolio Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Risk-Return Relationship and Portfolio Management write by Raj S. Dhankar. This book was released on 2019-10-24. Risk-Return Relationship and Portfolio Management available in PDF, EPUB and Kindle. This book covers all aspects of modern finance relating to portfolio theory and risk–return relationship, offering a comprehensive guide to the importance, measurement and application of the risk–return hypothesis in portfolio management. It is divided into five parts: Part I discusses the valuation of capital assets and presents various techniques and models used in this context. Part II then addresses market efficiency and capital market models, particularly focusing on measuring market efficiency, which is a crucial factor in making correct investment decisions. It also analyzes the major capital market models like CAPM and APT to determine to what extent they are suitable for use in developing economies. Part III highlights the significance of risk–return analysis as a prerequisite for investment decisions, while Part IV examines the selection and performance appraisals of portfolios against the backdrop of the risk–return relationship. It also examines new tools such as the value-at-risk application for mutual funds and the applications of the price-to-earnings ratio in portfolio performance measurement. Lastly, Part V explores contemporary issues in finance, including the relevance of Islamic finance in the increasingly volatile global financial system.
Portfolio Risk Analysis
Portfolio Risk Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Portfolio Risk Analysis write by Gregory Connor. This book was released on 2010-03-15. Portfolio Risk Analysis available in PDF, EPUB and Kindle. 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.
High Returns from Low Risk
High Returns from Low Risk - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook High Returns from Low Risk write by Pim van Vliet. This book was released on 2017-01-17. High Returns from Low Risk available in PDF, EPUB and Kindle. Believing "high-risk equals high-reward" is holding your portfolio hostage High Returns from Low Risk proves that low-volatility, low-risk portfolios beat high-volatility portfolios hands down, and shows you how to take advantage of this paradox to dramatically improve your returns. Investors traditionally view low-risk stocks as safe but unprofitable, but this old canard is based on a flawed premise; it fails to see beyond the monthly horizon, and ignores compounding returns. This book updates the thinking and brings reality to modelling to show how low-risk stocks actually outperform high-risk stocks by an order of magnitude. Easy to read and easy to implement, the plan presented here will help you construct a portfolio that delivers higher returns per unit of risk, and explains how to achieve excellent investment results over the long term. Do you still believe that investors are rewarded for bearing risk, and that the higher the risk, the greater the reward? That old axiom is holding you back, and it is time to start seeing the whole picture. This book shows you, through deep historical simulation, how to reap the rewards of smarter investing. Learn how and why low-risk, low-volatility stocks beat the market Discover the formula that outperforms Greenblatt's Construct your own low-risk portfolio Select the right ETF or low-risk fund to manage your money Great returns and lower risk sound like a winning combination — what happens once everyone is doing it? The beauty of the low-risk strategy is that it continues to work even after the paradox is widely known; long-term investment success is possible for anyone who can shake off the entrenched wisdom and go low-risk. High Returns from Low Risk provides the proof, model and strategy to reign in your exposure while raking in the profit.
Risk Analysis and Portfolio Modelling
Risk Analysis and Portfolio Modelling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Risk Analysis and Portfolio Modelling write by Elisa Luciano. This book was released on 2019-10-16. Risk Analysis and Portfolio Modelling available in PDF, EPUB and Kindle. Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
