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Author: Maximilian Lunzer Publisher: ISBN: Category : Languages : en Pages :
Book Description
The following thesis analyzes jumps in high-frequency data of the S\&P500 index and options written on the index. With the non-parametric jump test of Lee and Mykland both assets are investigated separately without imposing any option pricing model. In a second step jump patterns of different frequencies and option types are analyzed. This includes the point of time when jumps and co-jumps occur. I found that jumps tend to happen in the morning and as frequency is decreased co-jumps are detected more often. This is due to the fact that only extreme returns are classified as jumps for longer observation times and it is more likely to find them in option prices too. Furthermore I analyzed the jump behavior after the release of the FOMC announcements on the federal reserve fund target rate and the construction spending release. I found that both types of news induce jumps at the time of the release. For the FOMC releases a higher jump activity in the following 30 minute period was detected. Macroeconomic news can induce co-jumps for all types of options considered in this study. Finally, I tested if the option sensitivities computed with the Bates model can explain the empirical jump patterns of the S\&P500 together with the call options. I found that based on a delta-approximation there should be more co-jumps as there are in reality.
Author: Maximilian Lunzer Publisher: ISBN: Category : Languages : en Pages :
Book Description
The following thesis analyzes jumps in high-frequency data of the S\&P500 index and options written on the index. With the non-parametric jump test of Lee and Mykland both assets are investigated separately without imposing any option pricing model. In a second step jump patterns of different frequencies and option types are analyzed. This includes the point of time when jumps and co-jumps occur. I found that jumps tend to happen in the morning and as frequency is decreased co-jumps are detected more often. This is due to the fact that only extreme returns are classified as jumps for longer observation times and it is more likely to find them in option prices too. Furthermore I analyzed the jump behavior after the release of the FOMC announcements on the federal reserve fund target rate and the construction spending release. I found that both types of news induce jumps at the time of the release. For the FOMC releases a higher jump activity in the following 30 minute period was detected. Macroeconomic news can induce co-jumps for all types of options considered in this study. Finally, I tested if the option sensitivities computed with the Bates model can explain the empirical jump patterns of the S\&P500 together with the call options. I found that based on a delta-approximation there should be more co-jumps as there are in reality.
Author: Yacine Aït-Sahalia Publisher: Princeton University Press ISBN: 0691161437 Category : Business & Economics Languages : en Pages : 683
Book Description
A comprehensive introduction to the statistical and econometric methods for analyzing high-frequency financial data High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. Yacine Aït-Sahalia and Jean Jacod cover the mathematical foundations of stochastic processes, describe the primary characteristics of high-frequency financial data, and present the asymptotic concepts that their analysis relies on. Aït-Sahalia and Jacod also deal with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As they demonstrate, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. Aït-Sahalia and Jacod approach high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike.
Author: Myles Hollander Publisher: John Wiley & Sons ISBN: 1118553292 Category : Mathematics Languages : en Pages : 872
Book Description
Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation. Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the Third Edition features: The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics.
Author: Hasan Dinçer Publisher: Springer ISBN: 3319471724 Category : Business & Economics Languages : en Pages : 380
Book Description
This book presents a broad overview of risk management in the banking industry, with a special focus on strategic thinking and decision-making. It reveals the broader context behind decision models and approaches to risk management in the financial industry, linking the regulatory landscape for capital management and risk to strategic thinking, together with behavioral and cultural assessments.
Author: Publisher: Elsevier ISBN: 0128202513 Category : Mathematics Languages : en Pages : 352
Book Description
Financial, Macro and Micro Econometrics Using R, Volume 42, provides state-of-the-art information on important topics in econometrics, including multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, causal analysis and forecasting, GMM models, asset bubbles and crises, corporate investments, classification, forecasting, nonstandard problems, cointegration, financial market jumps and co-jumps, among other topics. Presents chapters authored by distinguished, honored researchers who have received awards from the Journal of Econometrics or the Econometric Society Includes descriptions and links to resources and free open source R Gives readers what they need to jumpstart their understanding on the state-of-the-art
Author: Francois Longin Publisher: John Wiley & Sons ISBN: 1118650190 Category : Business & Economics Languages : en Pages : 638
Book Description
A guide to the growing importance of extreme value risk theory, methods, and applications in the financial sector Presenting a uniquely accessible guide, Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications features a combination of the theory, methods, and applications of extreme value theory (EVT) in finance and a practical understanding of market behavior including both ordinary and extraordinary conditions. Beginning with a fascinating history of EVTs and financial modeling, the handbook introduces the historical implications that resulted in the applications and then clearly examines the fundamental results of EVT in finance. After dealing with these theoretical results, the handbook focuses on the EVT methods critical for data analysis. Finally, the handbook features the practical applications and techniques and how these can be implemented in financial markets. Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications includes: Over 40 contributions from international experts in the areas of finance, statistics, economics, business, insurance, and risk management Topical discussions on univariate and multivariate case extremes as well as regulation in financial markets Extensive references in order to provide readers with resources for further study Discussions on using R packages to compute the value of risk and related quantities The book is a valuable reference for practitioners in financial markets such as financial institutions, investment funds, and corporate treasuries, financial engineers, quantitative analysts, regulators, risk managers, large-scale consultancy groups, and insurers. Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications is also a useful textbook for postgraduate courses on the methodology of EVTs in finance.
Author: Luc Bauwens Publisher: John Wiley & Sons ISBN: 1118272056 Category : Business & Economics Languages : en Pages : 566
Book Description
A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics. Providing an overview of the most recent advances, Handbook of Volatility Models and Their Applications explores key concepts and topics essential for modeling the volatility of financial time series, both univariate and multivariate, parametric and non-parametric, high-frequency and low-frequency. Featuring contributions from international experts in the field, the book features numerous examples and applications from real-world projects and cutting-edge research, showing step by step how to use various methods accurately and efficiently when assessing volatility rates. Following a comprehensive introduction to the topic, readers are provided with three distinct sections that unify the statistical and practical aspects of volatility: Autoregressive Conditional Heteroskedasticity and Stochastic Volatility presents ARCH and stochastic volatility models, with a focus on recent research topics including mean, volatility, and skewness spillovers in equity markets Other Models and Methods presents alternative approaches, such as multiplicative error models, nonparametric and semi-parametric models, and copula-based models of (co)volatilities Realized Volatility explores issues of the measurement of volatility by realized variances and covariances, guiding readers on how to successfully model and forecast these measures Handbook of Volatility Models and Their Applications is an essential reference for academics and practitioners in finance, business, and econometrics who work with volatility models in their everyday work. The book also serves as a supplement for courses on risk management and volatility at the upper-undergraduate and graduate levels.
Author: Umit Hacioglu Publisher: Springer Nature ISBN: 303029739X Category : Business & Economics Languages : en Pages : 649
Book Description
This book analyzes the effects of the latest technological advances in blockchain and artificial intelligence (AI) on business operations and strategies. Adopting an interdisciplinary approach, the contributions examine new developments that change the rules of traditional management. The chapters focus mainly on blockchain technologies and digital business in the "Industry 4.0" context, covering such topics as accounting, digitalization and use of AI in business operations and cybercrime. Intended for academics, blockchain experts, students and practitioners, the book helps business strategists design a path for future opportunities.
Author: Andrew Ang Publisher: Now Publishers Inc ISBN: 1601984685 Category : Business & Economics Languages : en Pages : 99
Book Description
The Efficient Market Hypothesis (EMH) asserts that, at all times, the price of a security reflects all available information about its fundamental value. The implication of the EMH for investors is that, to the extent that speculative trading is costly, speculation must be a loser's game. Hence, under the EMH, a passive strategy is bound eventually to beat a strategy that uses active management, where active management is characterized as trading that seeks to exploit mispriced assets relative to a risk-adjusted benchmark. The EMH has been refined over the past several decades to reflect the realism of the marketplace, including costly information, transactions costs, financing, agency costs, and other real-world frictions. The most recent expressions of the EMH thus allow a role for arbitrageurs in the market who may profit from their comparative advantages. These advantages may include specialized knowledge, lower trading costs, low management fees or agency costs, and a financing structure that allows the arbitrageur to undertake trades with long verification periods. The actions of these arbitrageurs cause liquid securities markets to be generally fairly efficient with respect to information, despite some notable anomalies.
Author: Maximilian Lunzer
Author: Maximilian Lunzer
Author: Yacine Aït-Sahalia
Author: Myles Hollander
Author: Hasan Dinçer
Author: 
Author: Francois Longin
Author: Luc Bauwens
Author: Umit Hacioglu
Author: 
Author: Andrew Ang