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Скачивание или чтение онлайн электронных книг.Analysis of Financial Time Series
Provides statistical tools and techniques needed to understand today's financial markets The Second Edition of this critically acclaimed text provides a comprehensive and systematic introduction to financial econometric models and their applications in modeling and predicting financial time series data. This latest edition continues to emphasize empirical financial data and focuses on real-world examples. Following this approach, readers will master key aspects of financial time series, including volatility modeling, neural network applications, market microstructure and high-frequency financial data, continuous-time models and Ito's Lemma, Value at Risk, multiple returns analysis, financial factor models, and econometric modeling via computation-intensive methods. The author begins with the basic characteristics of financial time series data, setting the foundation for the three main topics: Analysis and application of univariate financial time series Return series of multiple assets Bayesian inference in finance methods This new edition is a thoroughly revised and updated text, including the addition of S-Plus® commands and illustrations. Exercises have been thoroughly updated and expanded and include the most current data, providing readers with more opportunities to put the models and methods into practice. Among the new material added to the text, readers will find: Consistent covariance estimation under heteroscedasticity and serial correlation Alternative approaches to volatility modeling Financial factor models State-space models Kalman filtering Estimation of stochastic diffusion models The tools provided in this text aid readers in developing a deeper understanding of financial markets through firsthand experience in working with financial data. This is an ideal textbook for MBA students as well as a reference for researchers and professionals in business and finance.
Applied C# in Financial Markets
Applied C# in Financial Markets covers all the aspects of C# relevant to practitioners working in financial sector. It contains a practical workshop which builds on the material in the book, guiding you through all the stages of building a multiple model options calculator. An accompanying website features examples, illustrations and solutions to the workshops and a downloadable application to complement the book. Features examples and illustrations taken from a sample trading application, making the book relevant to those working in the financial markets. Provides a quick start to C# for financial professionals to hit the ground running in building financial applications. Workshops illustrate building an options calculator, exploring the various elements in C# as they progress.
European Financial Systems in the Global Economy
European Financial Systems in the Global Economy provides an overview of sources of finance, types of financial intermediation and financial systems in Europe and their relative importance in the world economy. It describes market mechanisms and prices and gives a broad introduction to the relevant regional financial and monetary issues (including those countries that will join the EU in the future) and makes an ideal primer for those new to the world of finance.
The Investor's Guide to Economic Fundamentals
A complete guide to key market features and their impact on each of the main areas of investment This comprehensive guide offers practical advice on how to predict and manage market risk and how to allocate assets for the best performance under different market conditions. The Investor's Guide to Market Fundamentals covers both the theory and practice of this often-complicated subject, and gives readers a reliable source of market information.
The Simple Rules of Risk
In an age where companies and financial institutions are keenly focused on managing the financial risk of their operations, the implementation of quantitative methods and models has been of tremendous help. Tools such as VaR, credit VaR, risk-adjusted returns, and scenario analyses have given institutions the means to quantify and understand their risk profiles. However, the focus on quantitative risk management, while important, can sometimes be over-emphasized–at the expense of logic and experience. At its core, the successful management of risk is still largely an «art.» The Simple Rules of Risk takes a fresh look at the qualitative aspects of risk management. It also considers how qualitative approaches can make optimal use of the mathematical aspects of risk management to create the most effective framework possible.
A Practical Guide to Forecasting Financial Market Volatility
Financial market volatility forecasting is one of today's most important areas of expertise for professionals and academics in investment, option pricing, and financial market regulation. While many books address financial market modelling, no single book is devoted primarily to the exploration of volatility forecasting and the practical use of forecasting models. A Practical Guide to Forecasting Financial Market Volatility provides practical guidance on this vital topic through an in-depth examination of a range of popular forecasting models. Details are provided on proven techniques for building volatility models, with guide-lines for actually using them in forecasting applications.
The Making of Monetary Policy in the UK, 1975-2000
Over the quarter of a century with which this book is concerned, the UK has had an extraordinarily diverse experience of monetary policy and monetary regimes. Monetary policy has been transformed, from attempts to control broad money from the supply side with the use of indirect controls on banks' lending, to an almost exclusive focus on interest rates in a context of inflation targeting. The exchange rate has at times been fixed, at other times almost perfectly flexible, and at other times again more or less managed. Meanwhile the real economy has experienced large variations in growth, together with what most observers have seen as a sharp rise and then a gradual decline in the NAIRU; inflation has varied between 25% and 2%. This is a book about the making of monetary policy in the UK, about how and why the monetary regimes changed over the period, and how and why the monetary authorities took the decisions they did about monetary growth, interest rates and the exchange rate. It includes separate chapters on monetary targeting, on policy in the second half of the 1980s, on the UK's brief membership of the ERM, on inflation targeting between 1993 and 1997, and on inflation targeting with instrument independence since 1997. It also contains a detailed analysis of the factors that influenced interest rate decisions and monetary policy with particular reference to the exchange rate, and an investigation of the nature and reasons for interest rate smoothing in the UK. «David Cobham has written an excellent history of British monetary policy over the final quarter of the 20th Century. His judgement of the political and economic context is sound and sensible. It is well written with clear and helpful tables and charts. Besides the careful historical reporting, Cobham adds some valuable extra research of his own, notably on the interaction between monetary policy and the exchange rate (Chapter 9) and on the reasons for interest rate 'smoothing' (Chapter 10).» Charles Goodhart, Norman Sosnow Professor of Banking and Finance at the London School of Economics «…an essential guide covering everything the reader could ever want to know about the UK's turbulent monetary history over the last quarter century» Charles Bean, Chief Economist, Bank of England
The Secret Code of Japanese Candlesticks
A simple guide for using Japanese candlesticks correctly, and profitably Candlesticks have gotten a lot of attention lately, but few traders truly know how to use them wisely and profitably. Without the proper context, candlestick charting won't work. In this book, technical analysis expert Felipe Tudela shares candlestick creator Sokyu Honma's Great Market Cycle theory. With the Great Market Cycle, candlesticks reveal their powerful and simple logic and give traders the insight and context they need to use them successfully. Using these insights, readers will be able to trade each market phase in accordance with his or her own personal strategy. Felipe Tudela (Paris, France) is a researcher and specialist in technical analysis, as well as President of the Center of Financial Research in Paris.
Market Risk Analysis, Pricing, Hedging and Trading Financial Instruments
Written by leading market risk academic, Professor Carol Alexander, Pricing, Hedging and Trading Financial Instruments forms part three of the Market Risk Analysis four volume set. This book is an in-depth, practical and accessible guide to the models that are used for pricing and the strategies that are used for hedging financial instruments, and to the markets in which they trade. It provides a comprehensive, rigorous and accessible introduction to bonds, swaps, futures and forwards and options, including variance swaps, volatility indices and their futures and options, to stochastic volatility models and to modelling the implied and local volatility surfaces. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Duration-Convexity approximation to bond portfolios, and portfolio immunization; Pricing floaters and vanilla, basis and variance swaps; Coupon stripping and yield curve fitting; Proxy hedging, and hedging international securities and energy futures portfolios; Pricing models for European exotics, including barriers, Asians, look-backs, choosers, capped, contingent, power, quanto, compo, exchange, ‘best-of’ and spread options; Libor model calibration; Dynamic models for implied volatility based on principal component analysis; Calibration of stochastic volatility models (Matlab code); Simulations from stochastic volatility and jump models; Duration, PV01 and volatility invariant cash flow mappings; Delta-gamma-theta-vega mappings for options portfolios; Volatility beta mapping to volatility indices.
Market Risk Analysis, Quantitative Methods in Finance
Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four volume set. Starting from the basics, this book helps readers to take the first step towards becoming a properly qualified financial risk manager and asset manager, roles that are currently in huge demand. Accessible to intelligent readers with a moderate understanding of mathematics at high school level or to anyone with a university degree in mathematics, physics or engineering, no prior knowledge of finance is necessary. Instead the emphasis is on understanding ideas rather than on mathematical rigour, meaning that this book offers a fast-track introduction to financial analysis for readers with some quantitative background, highlighting those areas of mathematics that are particularly relevant to solving problems in financial risk management and asset management. Unique to this book is a focus on both continuous and discrete time finance so that Quantitative Methods in Finance is not only about the application of mathematics to finance; it also explains, in very pedagogical terms, how the continuous time and discrete time finance disciplines meet, providing a comprehensive, highly accessible guide which will provide readers with the tools to start applying their knowledge immediately. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Principal component analysis of European equity indices; Calibration of Student t distribution by maximum likelihood; Orthogonal regression and estimation of equity factor models; Simulations of geometric Brownian motion, and of correlated Student t variables; Pricing European and American options with binomial trees, and European options with the Black-Scholes-Merton formula; Cubic spline fitting of yields curves and implied volatilities; Solution of Markowitz problem with no short sales and other constraints; Calculation of risk adjusted performance metrics including generalised Sharpe ratio, omega and kappa indices.