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Trading Patterns Time Deformation And Stochastic Volatility In Foreign Exchange Markets
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Book Synopsis Trading Patterns, Time Deformation and Stochastic Volatility in Foreign Exchange Markets by : Ghysels, Eric
Download or read book Trading Patterns, Time Deformation and Stochastic Volatility in Foreign Exchange Markets written by Ghysels, Eric and published by Montréal : CIRANO. This book was released on 1995 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Trading Patterns, Time Deformation and Stochastic Volatility in Foreign Echange Markets by : Eric Ghysels
Download or read book Trading Patterns, Time Deformation and Stochastic Volatility in Foreign Echange Markets written by Eric Ghysels and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Trading Patterns, Time Defromation and Stochastic Volatility in Foreign Exchange Markets by : Eric Ghysels
Download or read book Trading Patterns, Time Defromation and Stochastic Volatility in Foreign Exchange Markets written by Eric Ghysels and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Return Distributions in Finance by : Stephen Satchell
Download or read book Return Distributions in Finance written by Stephen Satchell and published by Elsevier. This book was released on 2000-12-08 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative methods have revolutionised the area of trading, regulation, risk management, portfolio construction, asset pricing and treasury activities, and governmental activity such as central banking. One of the original contributions in this area is the classic by Cootner entitled 'The Random Nature of Stock Market Prices'. This work investigated the statistical properties of asset prices and was one of the first works to investigate this area in a rigorous manner. Much has happened in this field in the last 35 years and 'Return Distributions in Finance' contains much new information that reflects this huge growth. The authors combined experience reflects not only the new theory but also the new practice in this fascinating area. The rise of financial engineering now allows us to change the nature of asset returns to whatever pattern we desire, albeit at a cost. Benefits and costs can only be understood if we understand the underlying processes. 'Return Distributions in Finance' allows us to gain that understanding. Assists in understanding asset return distributions Provides a full overview of financial risk management techniques in asset allocation Demonstrates how to use asset return forecast applications
Book Synopsis Financial Econometrics by : Christian Gourieroux
Download or read book Financial Econometrics written by Christian Gourieroux and published by Princeton University Press. This book was released on 2022-12-13 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial econometrics is a great success story in economics. Econometrics uses data and statistical inference methods, together with structural and descriptive modeling, to address rigorous economic problems. Its development within the world of finance is quite recent and has been paralleled by a fast expansion of financial markets and an increasing variety and complexity of financial products. This has fueled the demand for people with advanced econometrics skills. For professionals and advanced graduate students pursuing greater expertise in econometric modeling, this is a superb guide to the field's frontier. With the goal of providing information that is absolutely up-to-date—essential in today's rapidly evolving financial environment—Gourieroux and Jasiak focus on methods related to foregoing research and those modeling techniques that seem relevant to future advances. They present a balanced synthesis of financial theory and statistical methodology. Recognizing that any model is necessarily a simplified image of reality and that econometric methods must be adapted and applied on a case-by-case basis, the authors employ a wide variety of data sampled at frequencies ranging from intraday to monthly. These data comprise time series representing both the European and North American markets for stocks, bonds, and foreign currencies. Practitioners are encouraged to keep a critical eye and are armed with graphical diagnostics to eradicate misspecification errors. This authoritative, state-of-the-art reference text is ideal for upper-level graduate students, researchers, and professionals seeking to update their skills and gain greater facility in using econometric models. All will benefit from the emphasis on practical aspects of financial modeling and statistical inference. Doctoral candidates will appreciate the inclusion of detailed mathematical derivations of the deeper results as well as the more advanced problems concerning high-frequency data and risk control. By establishing a link between practical questions and the answers provided by financial and statistical theory, the book also addresses the needs of applied researchers employed by financial institutions.
Book Synopsis Stochastic Volatility and Time Deformation by : Joann Jasiak
Download or read book Stochastic Volatility and Time Deformation written by Joann Jasiak and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we study stochastic volatility models with time deformation. Such processes relate to the early work by Mandelbrot and Taylor (1967), Clark (1973), Tauchen and Pitts (1983), among others. In our setup, the latent process of stochastic volatility evolves in an operational time which differs from calendar time. The time deformation can be determined by past volume of trade, past returns, possibly with an asymmetric leverage effect, and other variables setting the pace of information arrival. The econometric specification exploits the state-space approach for stochastic volatility models proposed by Harvey, Ruiz and Shephard (1994) as well as the matching moment estimation procedure using SNP densities of stock returns and trading volume estimated by Gallant, Rossi and Tauchen (1992). Daily data on returns and trading volume of the NYSE are used in the empirical application. Supporting evidence for a time deformation representation is found and its impact on the behavior of returns and volume is analyzed. We find that increases in volume accelerate operational time, resulting in volatility being less persistent and subject to shocks with a higher innovation variance. Downward price movements have similar effects while upward price movements increase the persistence in volatility and decrease the dispersion of shocks by slowing down market time. We present the basic model as well as several extensions; in particular, we formulate and estimate a bivariate return-volume stochastic volatility model with time deformation. The latter is examined through bivariate impulse response profiles following the example of Gallant, Rossi and Tauchen (1993).
Book Synopsis Predicting Forex and Stock Market with Fractal Pattern by : Young Ho Seo
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.
Author :Dominique M. Guillaume Publisher :Springer Science & Business Media ISBN 13 :1461546214 Total Pages :173 pages Book Rating :4.4/5 (615 download)
Book Synopsis Intradaily Exchange Rate Movements by : Dominique M. Guillaume
Download or read book Intradaily Exchange Rate Movements written by Dominique M. Guillaume and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the late 1980s, as the empirical appeal of macro-economic exchange rate models began to fade, a few people including Professor Charles Goodhart at the London School of Economics and researchers at Olsen & Associates in Zurich, started to collect intra-daily exchange rate data. The resulting database provides new insight into the foreign exchange markets and thereby opens up previously unexplored avenues of research. Intra-Daily Exchange Rate Movements presents an extensive study of the Olsen & Associates database and is one of the first monographs in this exciting new area. This book aims to provide a systematic study of the characteristics of intra-daily exchange rate data as well as an empirical investigation into different approaches of modelling the exchange rate movements. First, the author describes empirical insights, which range from the distributional issues of exchange rate data to the impact of macroeconomic fundamentals and institutional characteristics. This leads to a survey of the main stylized facts. Using the O&A database, Guillaume then presents a systematic investigation of the empirical performance of three broad categories of models: macro-economic models using an extension of chaos theory, stochastic models including the GARCH and time-deformation models, and technical analysis. The book shows how these approaches can be used to model intra-daily exchange rate movements and highlights some of the pitfalls inherent in such an exercise. In an area where literature remains controversial, this book hopes to trigger further inquiries into the suitability of these different approaches to modelling.
Book Synopsis Nonlinear Modelling of High Frequency Financial Time Series by : Christian L. Dunis
Download or read book Nonlinear Modelling of High Frequency Financial Time Series written by Christian L. Dunis and published by John Wiley & Sons. This book was released on 1998-07-09 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Modelling of High Frequency Financial Time Series Edited by Christian Dunis and Bin Zhou In the competitive and risky environment of today's financial markets, daily prices and models based upon low frequency price series data do not provide the level of accuracy required by traders and a growing number of risk managers. To improve results, more and more researchers and practitioners are turning to high frequency data. Nonlinear Modelling of High Frequency Financial Time Series presents the latest developments and views of leading international researchers and market practitioners, in modelling high frequency data in finance. Combining both nonlinear modelling and intraday data for financial markets, the editors provide a fascinating foray into this extremely popular discipline. This book evolves around four major themes. The first introductory section focuses on high frequency financial data. The second part examines the exact nature of the time series considered: several linearity tests are presented and applied and their modelling implications assessed. The third and fourth parts are dedicated to modelling and forecasting these financial time series.
Book Synopsis Stochastic Volatility and Time Deformation : an Application of Trading Volume and Leverage Effects by : Ghysels, Eric
Download or read book Stochastic Volatility and Time Deformation : an Application of Trading Volume and Leverage Effects written by Ghysels, Eric and published by Montréal : CIRANO. This book was released on 1994 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Decision Technologies For Financial Engineering - Proceedings Of The Fourth International Conference On Neural Networks In The Capital Markets (Nncm '96) by : Yaser Abu-mostafa
Download or read book Decision Technologies For Financial Engineering - Proceedings Of The Fourth International Conference On Neural Networks In The Capital Markets (Nncm '96) written by Yaser Abu-mostafa and published by World Scientific. This book was released on 1998-01-02 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume selects the best contributions from the Fourth International Conference on Neural Networks in the Capital Markets (NNCM). The conference brought together academics from several disciplines with strategists and decision makers from the financial industries.The various chapters present and compare new techniques from many areas including data mining, information systems, machine learning, and statistical artificial intelligence. The volume focuses on evaluating their usefulness for problems in computational finance and financial engineering.Applications — risk management; asset allocation; dynamic trading and hedging; forecasting; trading cost control. Markets — equity; foreign exchange; bond; commodity; derivatives; Approaches — data mining; statistical AI; machine learning; Monte Carlo simulation; bootstrapping; genetic algorithms; nonparametric methods; fuzzy logic.The chapters emphasizes in-depth and comparative evaluation with established approaches.
Book Synopsis Statistical Methods in Finance by : G. S. Maddala
Download or read book Statistical Methods in Finance written by G. S. Maddala and published by . This book was released on 1996-12-11 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive reference work for teaching at graduate level and research in empirical finance. The chapters cover a wide range of statistical and probabilistic methods applied to a variety of financial methods and are written by internationally renowned experts.
Download or read book Working Paper Series written by and published by . This book was released on 1996 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Revista de Análisis Económico written by and published by . This book was released on 2000 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Econometrics of Ultra-high Frequency Data by : Robert F. Engle
Download or read book The Econometrics of Ultra-high Frequency Data written by Robert F. Engle and published by . This book was released on 1996 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Understanding Volatility and Liquidity in the Financial Markets by : Dimitris N. Chorafas
Download or read book Understanding Volatility and Liquidity in the Financial Markets written by Dimitris N. Chorafas and published by Euromoney Publications. This book was released on 1998 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title is useful reading for anyone responsible for minimizing exposures and failures within their organization, as well as financial professionals working to produce models of risk and reward. It goes beyond the issues of volatility and liquidity, leading towards a system of risk management.
Download or read book Journal of Empirical Finance written by and published by . This book was released on 1996 with total page 884 pages. Available in PDF, EPUB and Kindle. Book excerpt:
