Download or read book Multifractal Financial Markets written by Yasmine Hayek Kobeissi and published by Springer Science & Business Media. This book was released on 2012-07-23 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multifractal Financial Markets explores appropriate models for estimating risk and profiting from market swings, allowing readers to develop enhanced portfolio management skills and strategies. Fractals in finance allow us to understand market instability and persistence. When applied to financial markets, these models produce the requisite amount of data necessary for gauging market risk in order to mitigate loss. This brief delves deep into the multifractal market approach to portfolio management through real-world examples and case studies, providing readers with the tools they need to forecast profound shifts in market activity.
Download or read book Multifractal Volatility written by Laurent E. Calvet and published by . This book was released on 2008 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting volatility is one of the major challenges in the field of finance. Calvet and Fisher present a powerful, new technique for volatility modelling. Their preliminary work has been well-received in the top academic journals and this is the first time they present their research in a comprehensive way.
Download or read book Multifractal Detrended Analysis Method and Its Application in Financial Markets written by Guangxi Cao and published by Springer. This book was released on 2018-02-18 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects high-quality papers on the latest fundamental advances in the state of Econophysics and Management Science, providing insights that address problems concerning the international economy, social development and economic security. This book applies the multi-fractal detrended class method, and improves the method with different filters. The authors apply those methods to a variety of areas: financial markets, energy markets, gold market and so on. This book is arguably a systematic research and summary of various kinds of multi-fractal detrended methods. Furthermore, it puts forward some investment suggestions on a healthy development of financial markets.
Download or read book The mis behaviour of Markets written by Benoit B. Mandelbrot and published by . This book was released on 2005 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the world-famous inventor of fractal geometry, a revolutionary new theory that turns on its head our understanding of how markets work. Fractal geometry is the mathematics of roughness: how to reduce the outline of a jagged leaf, a rocky coastline or static in a computer connection to a few simple mathematical properties - to make the complex simple. With his fractal tools, Benoit Mandelbrot has got to the bottom of how financial markets really work. He finds they have a shifting sense of time, a unique dimension and a wild kind of behaviour that makes them volatile, dangerous - and also beautiful. In Mandelbrot's fractal models, the complex gyrations of IBM's stock price, the FTSE 100, cotton trading and exchange rates can be reduced to straightforward formulae that yield a much more accurate description of the risks involved.
Download or read book Multifractality in Finance written by Federico Maglione and published by . This book was released on 2015 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: Benoît Mandelbrot, the father of Fractal Geometry, developed a multifractal model for describing price changes. Despite the commonly used models, such as the Brownian motion, the Mutifractal Model of Asset Return (MMAR) takes into account scale-consistency, long-range dependence and heavy tails, thus having a great flexibility in depicting the real-market peculiarities. In section 2 a review of the mathematics involved into multifractals is presented; Section 3 is addresses to the extension of multifractality towards stochastic processes, introducing the crucial concept of local Holder exponent of a function. Finally, Section 4 deeply analyze the mathematical properties of the scaling function which drives the "wildeness'' of the process. The proof of Theorem 4.4 is unpublished and the generalization of a Mandelbrot's result, which highlights a possible alternative motivation for the presence of heavy tails and a connection with the Extreme Value Theory. Section 5 is devoted to the analysis of the connection between the scaling function, Multifractal Formalism and Large Deviation Theory, suggesting possible ways in order to estimate the quantities involved. Finally in Section 6 the MMAR is presented, listing all the theorems that make it a suitable model for financial modelling.
Download or read book Financial Market Risk written by Cornelis Los and published by Routledge. This book was released on 2003-07-24 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest theories and empirical findings of financial risk, its measurement and management, and its applications in the world of finance.
Download or read book The Statistical Mechanics of Financial Markets written by Johannes Voit and published by Springer Science & Business Media. This book was released on 2005-10-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly praised introductory treatment describes the parallels between statistical physics and finance - both those established in the 100-year long interaction between these disciplines, as well as new research results on financial markets. The random-walk technique, well known in physics, is also the basic model in finance, upon which are built, for example, the Black-Scholes theory of option pricing and hedging, plus methods of portfolio optimization. Here the underlying assumptions are assessed critically. Using empirical financial data and analogies to physical models such as fluid flows, turbulence, or superdiffusion, the book develops a more accurate description of financial markets based on random walks. With this approach, novel methods for derivative pricing and risk management can be formulated. Computer simulations of interacting-agent models provide insight into the mechanisms underlying unconventional price dynamics. It is shown that stock exchange crashes can be modelled in ways analogous to phase transitions and earthquakes, and sometimes have even been predicted successfully. This third edition of The Statistical Mechanics of Financial Markets especially stands apart from other treatments because it offers new chapters containing a practitioner's treatment of two important current topics in banking: the basic notions and tools of risk management and capital requirements for financial institutions, including an overview of the new Basel II capital framework which may well set the risk management standards in scores of countries for years to come.
Download or read book Fractal Market Analysis written by Edgar E. Peters and published by John Wiley & Sons. This book was released on 1994-02-08 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leading pioneer in the field offers practical applications of this innovative science. Peters describes complex concepts in an easy-to-follow manner for the non-mathematician. He uses fractals, rescaled range analysis and nonlinear dynamical models to explain behavior and understand price movements. These are specific tools employed by chaos scientists to map and measure physical and now, economic phenomena.
Download or read book Empirical Market Microstructure written by Joel Hasbrouck and published by Oxford University Press. This book was released on 2007-01-04 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interactions that occur in securities markets are among the fastest, most information intensive, and most highly strategic of all economic phenomena. This book is about the institutions that have evolved to handle our trading needs, the economic forces that guide our strategies, and statistical methods of using and interpreting the vast amount of information that these markets produce. The book includes numerous exercises.
Download or read book Predicting Forex and Stock Market with Fractal Pattern written by Young Ho Seo and published by www.algotrading-investment.com. This book was released on 2020-04-09 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: About this book This book provides you the powerful and brand new knowledge on predicting financial market that we have discovered in several years of our own research and development work. This book will help you to turn your intuition into the scientific prediction method. In the course of recognizing the price patterns in the chart of Forex and Stock market, you should be realized that it was your intuition working at the background for you. The geometric prediction devised in this book will show you the scientific way to predict the financial market using your intuition. Many of us made a mistake of viewing the financial market with deterministic cycle. Even though we knew that market would not show us such a simple prediction pattern, we never stop using the concept of deterministic cycle to predict the financial market, for example, using Fourier transform, and other similar techniques. Why is that so? The reason is simple. It is because no one presented an effective way of predicting stochastic cycle. Stochastic cycle is the true face of the financial market because many variables in the market are suppressing the predictable cycle with fixed time interval. So how we predict the stochastic cycle present in the financial market? The key to answer is the Fractal Pattern and Fractal Wave. The geometric prediction on Fractal Wave solves the puzzles of the stochastic cycle modelling problem together. In another words, your intuition, more precisely your capability to recognize geometric shape, is more powerful than any other technical indicators available in the market. Hence, the geometric prediction, which comes from your intuition, would maximize your ability to trade in the financial market. In this book, Geometric prediction is described as the combined ability to recognize the geometric regularity and statistical regularity from the chart. We provide the examples of geometric regularity and statistical regularity. In addition, we will show you how these regularities are related to your intuition. The chart patterns covered in this book include support, resistance, Fibonacci Price pattern, Harmonic Pattern, Falling Wedge pattern, Rising Wedge pattern, and Gann Angles with probability. We use these chart patterns to detect geometric regularity. Then, we use the turning point probability as the mean of detecting statistical regularity. In our trading, we combine both to improve the trading performance.
Download or read book Handbook of High Frequency Trading and Modeling in Finance written by Ionut Florescu and published by John Wiley & Sons. This book was released on 2016-04-05 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance details how high-frequency analysis presents new systematic approaches to implementing quantitative activities with high-frequency financial data. Introducing new and established mathematical foundations necessary to analyze realistic market models and scenarios, the handbook begins with a presentation of the dynamics and complexity of futures and derivatives markets as well as a portfolio optimization problem using quantum computers. Subsequently, the handbook addresses estimating complex model parameters using high-frequency data. Finally, the handbook focuses on the links between models used in financial markets and models used in other research areas such as geophysics, fossil records, and earthquake studies. The Handbook of High-Frequency Trading and Modeling in Finance also features: • Contributions by well-known experts within the academic, industrial, and regulatory fields • A well-structured outline on the various data analysis methodologies used to identify new trading opportunities • Newly emerging quantitative tools that address growing concerns relating to high-frequency data such as stochastic volatility and volatility tracking; stochastic jump processes for limit-order books and broader market indicators; and options markets • Practical applications using real-world data to help readers better understand the presented material The Handbook of High-Frequency Trading and Modeling in Finance is an excellent reference for professionals in the fields of business, applied statistics, econometrics, and financial engineering. The handbook is also a good supplement for graduate and MBA-level courses on quantitative finance, volatility, and financial econometrics. Ionut Florescu, PhD, is Research Associate Professor in Financial Engineering and Director of the Hanlon Financial Systems Laboratory at Stevens Institute of Technology. His research interests include stochastic volatility, stochastic partial differential equations, Monte Carlo Methods, and numerical methods for stochastic processes. Dr. Florescu is the author of Probability and Stochastic Processes, the coauthor of Handbook of Probability, and the coeditor of Handbook of Modeling High-Frequency Data in Finance, all published by Wiley. Maria C. Mariani, PhD, is Shigeko K. Chan Distinguished Professor in Mathematical Sciences and Chair of the Department of Mathematical Sciences at The University of Texas at El Paso. Her research interests include mathematical finance, applied mathematics, geophysics, nonlinear and stochastic partial differential equations and numerical methods. Dr. Mariani is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley. H. Eugene Stanley, PhD, is William Fairfield Warren Distinguished Professor at Boston University. Stanley is one of the key founders of the new interdisciplinary field of econophysics, and has an ISI Hirsch index H=128 based on more than 1200 papers. In 2004 he was elected to the National Academy of Sciences. Frederi G. Viens, PhD, is Professor of Statistics and Mathematics and Director of the Computational Finance Program at Purdue University. He holds more than two dozen local, regional, and national awards and he travels extensively on a world-wide basis to deliver lectures on his research interests, which range from quantitative finance to climate science and agricultural economics. A Fellow of the Institute of Mathematics Statistics, Dr. Viens is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley.
Download or read book Trading with Intermarket Analysis written by John J. Murphy and published by John Wiley & Sons. This book was released on 2013 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A visual guide to market trading using intermarket analysis and exchange-traded funds With global markets and asset classes growing even more interconnected, intermarket analysis—the analysis of related asset classes or financial markets to determine their strengths and weaknesses—has become an essential part of any trader's due diligence. In Trading with Intermarket Analysis, John J. Murphy, former technical analyst for CNBC, lays out the technical and intermarket tools needed to understand global markets and illustrates how they help traders profit in volatile climates using exchange-traded funds. Armed with a knowledge of how economic forces impact various markets and financial sectors, investors and traders can profit by exploiting opportunities in markets about to rise and avoiding those poised to fall. Trading with Intermarket Analysis provides advice on trend following, chart patterns, moving averages, oscillators, spotting tops and bottoms, using exchange-traded funds, tracking market sectors, and the new world of intermarket relationships, all presented in a highly visual way. Gives readers a visually rich introduction to the world of intermarket analysis, the ultimate tool for beating the markets Provides practical advice on trend following, chart patterns, moving averages, oscillators, spotting tops and bottoms, using exchange-traded funds, tracking market sectors, and intermarket relationships Includes appendices on Japanese candlesticks and point-and-figure charting Comprehensive and easy-to-use, Trading with Intermarket Analysis presents the most important concepts related to using exchange-traded funds to beat the markets in a visually accessible format.
Download or read book Trading on the Edge written by Guido J. Deboeck and published by John Wiley & Sons. This book was released on 1994-04-18 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts from the world's major financial institutions contributed to this work and have already used the newest technologies. Gives proven strategies for using neural networks, algorithms, fuzzy logic and nonlinear data analysis techniques to enhance profitability. The latest analytical breakthroughs, the impact on modern finance theory and practice, including the best ways for profitably applying them to any trading and portfolio management system, are all covered.
Download or read book Financial Econometrics and Empirical Market Microstructure written by Anil K. Bera and published by Springer. This book was released on 2014-11-18 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of Big Data our society is given the unique opportunity to understand the inner dynamics and behavior of complex socio-economic systems. Advances in the availability of very large databases, in capabilities for massive data mining, as well as progress in complex systems theory, multi-agent simulation and computational social science open the possibility of modeling phenomena never before successfully achieved. This contributed volume from the Perm Winter School address the problems of the mechanisms and statistics of the socio-economics system evolution with a focus on financial markets powered by the high-frequency data analysis.
Download or read book An Introduction to Wavelet Theory in Finance written by Francis In and published by World Scientific. This book was released on 2013 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an introduction to wavelet theory and provides the essence of wavelet analysis OCo including Fourier analysis and spectral analysis; the maximum overlap discrete wavelet transform; wavelet variance, covariance, and correlation OCo in a unified and friendly manner. It aims to bridge the gap between theory and practice by presenting substantial applications of wavelets in economics and finance.This book is the first to provide a comprehensive application of wavelet analysis to financial markets, covering new frontier issues in empirical finance and economics. The first chapter of this unique text starts with a description of the key features and applications of wavelets. After an overview of wavelet analysis, successive chapters rigorously examine the various economic and financial topics and issues that stimulate academic and professional research, including equity, interest swaps, hedges and futures, foreign exchanges, financial asset pricing, and mutual fund markets.This detail-oriented text is descriptive and designed purely for academic researchers and financial practitioners. It assumes no prior knowledge of econometrics and covers important topics such as portfolio asset allocation, asset pricing, hedging strategies, new risk measures, and mutual fund performance. Its accessible presentation is also suitable for post-graduates in a variety of disciplines OCo applied economics, financial engineering, international finance, financial econometrics, and fund management. To facilitate the subject of wavelets, sophisticated proofs and mathematics are avoided as much as possible when applying the wavelet multiscaling method. To enhance the reader''s understanding in practical applications of the wavelet multiscaling method, this book provides sample programming instruction backed by Matlab wavelet code.
Download or read book Multifractal Models and Simulations of the U S Term Structure written by Sutthisit Jamdee and published by . This book was released on 2005 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Asset pricing modelers attempt to identify price diffusion processes from empirical financial market data. In particular, the Geometric Brownian Motion and the GARCH models are currently popular in these efforts. In contrast, for the first time this dissertation identifies Multifractal Models of Asset Return (MMARs) from the eight nodal term structure series of US Treasury rates as well as Fed Funds rate and, after proper synthesis, simulates those MMARs. The model performance results of these simulations are then compared with not only the original empirical time series, but also with the simulated results from the corresponding Brownian Motion and GARCH processes. The major findings are that the eight different maturity US Treasury and the Fed Funds rates are multifractal processes. The MMAR outperforms both the GBM and GARCH(1,1) in terms of scaling distribution preservation over time and investment horizons. In addition, this dissertation uses the noise-data ratio to improve the Holder-Hurst identification for the power spectrum method. Identified distributions of all simulated processes are compared with the empirical distributions in snapshot and over time-scale (frequency) analyses. The findings suggest that the simulated MMAR can replicate all attributes of the empirical distributions, while the simulated GBM and GARCH(1,1) processes cannot preserve the thick-tails, high peaks, and skewness. The wavelet scalograms, used to investigate the variance over time and scales, reveal the superiority of the MMAR for modeling the Treasury rates over the GBM and GARCH(1,1). When the MMAR is applied to the Fed Funds rate, the results are surprisingly different from those of the Treasury rates. The MMAR at this stage cannot produce a complete term structure model, because it cannot completely model the dynamic structure of the term structure.
Download or read book Research on Volatility and Contagion Effect in Stock Market written by Dexiang Mei and published by Scientific Research Publishing, Inc. USA. This book was released on 2020-12-06 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volatility has been one of the cores of the financial theory research, in addition to the stock markets is an important part of modern financial markets. Research on volatility and contagion effect in stock market is an important part of the theory of financial markets research. This book in-cludes the following four parts.
