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Author: Zura Kakushadze Publisher: Springer ISBN: 3030027929 Category : Business & Economics Languages : en Pages : 480
Book Description
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: Zura Kakushadze Publisher: Springer ISBN: 3030027929 Category : Business & Economics Languages : en Pages : 480
Book Description
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: M. Ram Murty Publisher: Broadview Press ISBN: 1554810353 Category : Philosophy Languages : en Pages : 216
Book Description
This book introduces the vast topic of Indian philosophy. It begins with a study of the major Upanishads, and then surveys the philosophical ideas contained in the Bhagavadgita. After a short excursion into Buddhism, it summarizes the salient ideas of the six systems of Indian philosophy: Nyaya, Vaisesika, Samkhya, Yoga, Purva Mimamsa, and Vedanta. It concludes with an introduction to contemporary Indian thought.
Author: Fred R. David Publisher: Prentice Hall ISBN: 9780136015703 Category : Business planning Languages : en Pages : 0
Book Description
KEY BENFIT:David's Strategic Managementoffers a skills-oriented, practitioner perspective that has been updated with modern cases to reflect current research and strategy. This text covers strategy formulation issues such as business ethics, global vs. domestic operations, vision/mission, matrix analysis, partnering, joint venturing, competitive analysis, and includes a brand new cohesion case on the Walt Disney Company. For management professionals, small business owners and others involved in business.
Author: Oliver Schabenberger Publisher: CRC Press ISBN: 020349198X Category : Mathematics Languages : en Pages : 584
Book Description
Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.
Author: Richard L. Scheaffer Publisher: Duxbury Resource Center ISBN: Category : Business & Economics Languages : en Pages : 778
Book Description
Designed to teach engineers to think statistically so that data can be collected and used intelligently in solving real problems, this text is intended for calculus-based, one-semester introduction to engineering statistics courses. Although traditional topics are covered, this edition takes a modern, data-oriented, problem-solving, process-improvement view of engineering statistics. The emphasis is on collecting good data through sample surveys and experiments and on applying it to real problems.
Author: M.H. Zimmermann Publisher: Springer Science & Business Media ISBN: 3642661610 Category : Science Languages : en Pages : 548
Book Description
When WILHELM RUHLAND developed his plan for an Encyclopedia of Plant Physiol ogy more than three decades ago, biology could still be conveniently subdivided into classical areas. Even within plant physiology, subdivisions were not too difficult to make, and general principles could be covered sufficiently in the two introductory volumes of the Encyclopedia on the physical and chemical basis of cell biology. But the situation changed rapidly even during the 12-year publication period of the Encyclopedia (1955-1967). The new molecular direction of genetics and structural research on biopolymers had an integrating effect on all other biological fields, including plant physiology, and it became increasingly difficult to keep previously distinct areas separated. RUHLAND'S overall plan included 18 volumes and about 22,000 pages. It covered the entire field of plant physiology, in most cases from the very beginning. But, as each volume appeared, it was clear that its content would soon be outdated.
Author: Zura Kakushadze
Author: Zura Kakushadze
Author: M. Ram Murty
Author: 
Author: J. Ignacio Garcia Alonso
Author: Fred R. David
Author: Oliver Schabenberger
Author: Richard L. Scheaffer
Author: Stallings
Author: M.H. Zimmermann
Author: John C. Klensin