Option Based Porfolio Insurance Analysis Of Protective Put And Synthetic Put Investment Strategies
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| Author | : Felix Lütjen |
| Publisher | : GRIN Verlag |
| Total Pages | : 35 |
| Release | : 2017-07-24 |
| Genre | : Business & Economics |
| ISBN | : 3668490163 |
Bachelor Thesis from the year 2016 in the subject Business economics - General, grade: 1.7, University of Frankfurt (Main), language: English, abstract: Risk aversion is a common trait among investors. While it is possible to reduce risk attributed to specific industries and regions by diversifying among different securities, market risk affects all securities on the market. Even a perfectly diversified portfolio is subject to systematic or market risk. It can be managed through diversification across asset classes, for example by shifting some of the funds invested into risk-free assets. For some investors, this yields unsatisfactory results as the expected return directly decreases linearly with an increase in the position in the risk-free asset. Portfolio insurance (PI) describes an alternative set of strategies that allows investors to reduce their exposure to market risk by guaranteeing the value of the portfolio to be above a certain value at the end of the investment period while allowing for participation in rising stock markets. Option-based portfolio insurance (OBPI) refers to a set of strategies in which either a conventional put option (protective put) or a replicated put option (synthetic put) is used to insure a portfolio against adverse price movements. In theory and assuming perfect market conditions, protective put (PP) and synthetic put (SP) yield identical payoffs and have the same cost. In practice, there are several important differences between the two strategies. On the one hand, PP seems to be an easy and uncomplicated strategy to implement, but the unavailability of listed options with desired maturities and strike prices are major issues. SP strategies, on the other hand, can suffer from obstacles like high transaction costs and jumps in stock prices.
| Author | : Cheng-Few Lee |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 861 |
| Release | : 2006-07-27 |
| Genre | : Business & Economics |
| ISBN | : 0387262849 |
This is a major new reference work covering all aspects of finance. Coverage includes finance (financial management, security analysis, portfolio management, financial markets and instruments, insurance, real estate, options and futures, international finance) and statistical applications in finance (applications in portfolio analysis, option pricing models and financial research). The project is designed to attract both an academic and professional market. It also has an international approach to ensure its maximum appeal. The Editors' wish is that the readers will find the encyclopedia to be an invaluable resource.
| Author | : Cheng Few Lee |
| Publisher | : World Scientific |
| Total Pages | : 5053 |
| Release | : 2020-07-30 |
| Genre | : Business & Economics |
| ISBN | : 9811202400 |
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
| Author | : Michael Lynn Lovelady |
| Publisher | : FT Press |
| Total Pages | : 241 |
| Release | : 2012 |
| Genre | : Business & Economics |
| ISBN | : 0132929112 |
Options-based "synthetic annuities" give investors the ability to generate higher returns, provide better downside protection, and utilize risk more efficiently than pure stock and bond-based portfolios. Now, this strategy's creator shows exactly how to use them to support a wide range of trading and investing goals. Hedge fund manager Michael Lovelady shows how synthetic annuities blend the best features of traditional portfolios with the risk management discipline of quantitative investing, increasing current yields while also reducing volatility. Michael presents this new strategy with unique graphics and simplified models that any investor or trader can use, and demonstrates its value in the context of today's key market trends. He illuminates the entire "ecosystem" of theories, products, and tools surrounding synthetic annuities, and shows exactly how to integrate them with other investment and portfolio management techniques.
| Author | : Cheng Few Lee |
| Publisher | : World Scientific Publishing Company |
| Total Pages | : 1190 |
| Release | : 2012-10-01 |
| Genre | : Business & Economics |
| ISBN | : 9814458902 |
Security Analysis, Portfolio Management, and Financial Derivatives integrates the many topics of modern investment analysis. It provides a balanced presentation of theories, institutions, markets, academic research, and practical applications, and presents both basic concepts and advanced principles. Topic coverage is especially broad: in analyzing securities, the authors look at stocks and bonds, options, futures, foreign exchange, and international securities. The discussion of financial derivatives includes detailed analyses of options, futures, option pricing models, and hedging strategies. A unique chapter on market indices teaches students the basics of index information, calculation, and usage and illustrates the important roles that these indices play in model formation, performance evaluation, investment strategy, and hedging techniques. Complete sections on program trading, portfolio insurance, duration and bond immunization, performance measurements, and the timing of stock selection provide real-world applications of investment theory. In addition, special topics, including equity risk premia, simultaneous-equation approach for security valuation, and Itô's calculus, are also included for advanced students and researchers.
| Author | : Rudiger Kiesel |
| Publisher | : World Scientific |
| Total Pages | : 414 |
| Release | : 2010-06-18 |
| Genre | : Business & Economics |
| ISBN | : 9814467332 |
This book combines academic research and practical expertise on alternative assets and trading strategies in a unique way. The asset classes that are discussed include: credit risk, cross-asset derivatives, energy, private equity, freight agreements, alternative real assets (ARA), and socially responsible investments (SRI). The coverage on trading and investment strategies are directed at portfolio insurance, especially constant proportion portfolio insurance (CPPI) and constant proportion debt obligation (CPDO) strategies, robust portfolio optimization, and hedging strategies for exotic options.
| Author | : Zura Kakushadze |
| Publisher | : Springer |
| Total Pages | : 480 |
| Release | : 2018-12-13 |
| Genre | : Business & Economics |
| ISBN | : 3030027929 |
The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
| Author | : George Jabbour |
| Publisher | : John Wiley & Sons |
| Total Pages | : 402 |
| Release | : 2010-01-06 |
| Genre | : Business & Economics |
| ISBN | : 0470579978 |
Strategies, tools, and solutions for minimizing risk and volatility in option trading An intermediate level trading book, The Option Trader Handbook, Second Edition provides serious traders with strategies for managing and adjusting their market positions. This Second Edition features new material on implied volatility; Delta and Theta, and how these measures can be used to make better trading decisions. The book presents the art of making trade adjustments in a logical sequence, starting with long and short stock positions; moving on to basic put and call positions; and finally discussing option spreads and combinations. Covers different types of underlying positions and discusses all the possible adjustments that can be made to that position Offers important insights into more complex option spreads and combinations A timely book for today's volatile markets Intended for both stock and option traders, this book will help you improve your overall trading skills and performance.
| Author | : Cheng-Few Lee |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1700 |
| Release | : 2010-06-14 |
| Genre | : Business & Economics |
| ISBN | : 0387771174 |
Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.
| Author | : El Bachir Boukherouaa |
| Publisher | : International Monetary Fund |
| Total Pages | : 35 |
| Release | : 2021-10-22 |
| Genre | : Business & Economics |
| ISBN | : 1589063953 |
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
