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Data Science for Financial Econometrics, Ngoc Thach, Nguyen, Kreinovich, Vladik, Trung, Ngu


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Цена: 27950.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Ngoc Thach, Nguyen, Kreinovich, Vladik, Trung, Ngu
Название:  Data Science for Financial Econometrics
Перевод названия: Нгуен Тах Нгок, Владик Крейнович, Нгу Трунг: Наука о данных для финансовой эконометрики
ISBN: 9783030488529
Издательство: Springer
Классификация:


ISBN-10: 3030488527
Обложка/Формат: Hardcover
Страницы: 633
Вес: 1.07 кг.
Дата издания: 02.02.2021
Язык: English
Размер: 23.39 x 15.60 x 3.51 cm
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: To catch up, many application areas have begun relying on data science, i.e., on techniques for extracting models from data, such as data mining, machine learning, and innovative statistics.


Mostly harmless econometrics

Автор: Angrist, J.d. Pischke, Jorn-steffen
Название: Mostly harmless econometrics
ISBN: 0691120358 ISBN-13(EAN): 9780691120355
Издательство: Wiley
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Цена: 7128.00 р.
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Описание: Shows how the basic tools of applied econometrics allow the data to speak. This book covers regression-discontinuity designs and quantile regression - as well as how to get standard errors right. It is suitable for various areas in contemporary social science.

Financial Decisions and Markets: A Course in Asset Pricing

Автор: Campbell John Y.
Название: Financial Decisions and Markets: A Course in Asset Pricing
ISBN: 0691160805 ISBN-13(EAN): 9780691160801
Издательство: Wiley
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Цена: 12672.00 р.
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Описание:

From the field's leading authority, the most authoritative and comprehensive advanced-level textbook on asset pricing

Financial Decisions and Markets is a graduate-level textbook that provides a broad overview of the field of asset pricing. John Campbell, one of the field's most respected authorities, introduces students to leading theories of portfolio choice, their implications for asset prices, and empirical patterns of risk and return in financial markets. Campbell emphasizes the interplay of theory and evidence, as theorists respond to empirical puzzles by developing models with new testable implications. Increasingly these models make predictions not only about asset prices but also about investors' financial positions, and they often draw on insights from behavioral economics.

After a careful introduction to single-period models, Campbell develops multiperiod models with time-varying discount rates, reviews the leading approaches to consumption-based asset pricing, and integrates the study of equities and fixed-income securities. He discusses models with heterogeneous agents who use financial markets to share their risks, but also may speculate against one another on the basis of different beliefs or private information. Campbell takes a broad view of the field, linking asset pricing to related areas, including financial econometrics, household finance, and macroeconomics. The textbook works in discrete time throughout, and does not require stochastic calculus. Problems are provided at the end of each chapter to challenge students to develop their understanding of the main issues in financial economics.

The most comprehensive and balanced textbook on asset pricing available, Financial Decisions and Marketswill be an essential resource for all graduate students in finance and related fields.

  • Integrated treatment of asset pricing theory and empirical evidence
  • Emphasis on investors' decisions
  • Broad view linking the field to areas including financial econometrics, household finance, and macroeconomics
  • Topics treated in discrete time, with no requirement for stochastic calculus
  • Solutions manual for problems available to professors
Introduction to Econometrics, 5 ed.

Автор: Dougherty Christopher
Название: Introduction to Econometrics, 5 ed.
ISBN: 0199676828 ISBN-13(EAN): 9780199676828
Издательство: Oxford Academ
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Цена: 12037.00 р.
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Описание: Combining the rigour of econometric theory with an accessible style, Dougherty`s step by step explanations and relevant practical exercises ensure students develop an intuitive understanding of econometrics, and gain hands-on experience of the tools used in economic and financial forecasting.

Автор: Easton, Wild, Halsey, McAnally
Название: Financial Accounting for MBAs, 8e
ISBN: 1618533584 ISBN-13(EAN): 9781618533586
Издательство: Amazon Internet
Цена: 48331.00 р.
Наличие на складе: Невозможна поставка.

Financial Econometrics: Models and Methods

Автор: Linton Oliver
Название: Financial Econometrics: Models and Methods
ISBN: 1316630331 ISBN-13(EAN): 9781316630334
Издательство: Cambridge Academ
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Цена: 8237.00 р.
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Описание: This thorough exploration of the models and methods of financial econometrics is written by one of the world`s leading financial econometricians. The up-to-date content covers developments in econometrics and finance over the last twenty years while ensuring a solid grounding in the fundamental principles of the subject.

Financial Econometrics, Mathematics and Statistics

Автор: Lee, Cheng-Few, Chen, Hong-Yi, Lee, John
Название: Financial Econometrics, Mathematics and Statistics
ISBN: 1493994271 ISBN-13(EAN): 9781493994274
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research.

Econometrics of Financial High-Frequency Data

Автор: Hautsch, Nikolaus
Название: Econometrics of Financial High-Frequency Data
ISBN: 3642219241 ISBN-13(EAN): 9783642219245
Издательство: Springer
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Цена: 25853.00 р.
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Описание: The availability of financial data recorded on high-frequency level has inspired a research area which over the last decade emerged to a major area in econometrics and statistics. The growing popularity of high-frequency econometrics is driven by technological progress in trading systems and an increasing importance of intraday trading, liquidity risk, optimal order placement as well as high-frequency volatility. This book provides a state-of-the art overview on the major approaches in high-frequency econometrics, including univariate and multivariate autoregressive conditional mean approaches for different types of high-frequency variables, intensity-based approaches for financial point processes and dynamic factor models. It discusses implementation details, provides insights into properties of high-frequency data as well as institutional settings and presents applications to volatility and liquidity estimation, order book modelling and market microstructure analysis.

Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications

Автор: Marno Verbeek
Название: Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications
ISBN: 311066013X ISBN-13(EAN): 9783110660135
Издательство: Walter de Gruyter
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Цена: 7801.00 р.
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Описание: De Gruyter Studies in the Practice of Econometrics is a new series of books aimed at researchers showing how different econometric techniques can be used in their field focusing on practical relevance. Critical reviews of existing approaches are combined with expert advice.

Econometrics of Financial High-Frequency Data

Автор: Nikolaus Hautsch
Название: Econometrics of Financial High-Frequency Data
ISBN: 3642427723 ISBN-13(EAN): 9783642427725
Издательство: Springer
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Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a state-of-the art overview on the major approaches in high-frequency econometrics, including univariate and multivariate autoregressive conditional mean approaches for different types of high-frequency variables, intensity-based approaches for financial point processes and dynamic factor models.

Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications

Автор: Marno Verbeek
Название: Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications
ISBN: 3110660814 ISBN-13(EAN): 9783110660814
Издательство: Walter de Gruyter
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Цена: 7801.00 р.
Наличие на складе: Нет в наличии.

Описание:

Financial data are typically characterised by a time-series dimension and a cross-sectional dimension. For example, we may observe financial information on a group of firms over a number of years, or we may observe returns of all stocks traded at NYSE over a period of 120 months. Accordingly, econometric modelling in finance requires appropriate attention to these two -- or occasionally more than two -- dimensions of the data. Panel data techniques are developed to do exactly this. This book provides an overview of commonly applied panel methods for financial applications.

The use of panel data has many advantages, in terms of the flexibility of econometric modeling and the ability to control for unobserved heterogeneity. It also involves a number of econometric issues that require specific attention. This includes cross-sectional dependence, robust and clustered standard errors, parameter heterogeneity, fixed effects, dynamic models with a short time dimension, instrumental variables, differences-in-differences and other approaches for causal inference.

After an introductory chapter reviewing the classical linear regression model with particular attention to its use in a panel data context, including several standard estimators (pooled OLS, Fama-MacBeth, random effects, first-differences, fixed effects), the book continues with a more elaborate treatment of fixed effects approaches. While first-differencing and fixed effects estimators are attractive because of their removal of time-invariant unobserved heterogeneity (e.g. manager quality, firm culture), consistency of such estimators imposes strict exogeneity of the explanatory variables (for a finite number of time periods). This is often violated in practice, for example, some explanatory variable explaining firm performance may be partly determined by historical firm performance. An obvious case where this assumption is violated arises when the model contains a lagged dependent variable. A separate chapter will focus on dynamic models, which have received specific attention in the literature, also in the context of financial applications, like the dynamics of capital structure choices. Estimation mostly relies on instrumental variables or GMM techniques. Identification and estimation of such models is often fragile, and the small sample properties may be disappointing.

The book continues with a chapter on models with limited dependent variables, including binary response models. The cross-sectional dependence that is likely to be present complicates estimation, and the author discusses pooled estimation, random effects and fixed effects approaches, including the possibility to include lagged dependent variables. This chapter will also discuss problems of attrition and sample selection bias, as well as unbalanced panels in general.

Identifying causal effects in empirical work based on non-experimental data is often challenging, and causal inference has received substantial attention in the recent literature. The availability of panel data plays an important role in many approaches. Starting with simple differences-in-differences approaches, a dedicated chapter discusses instrumental variables estimators, matching and propensity scores, regression discontinuity and related approaches.

Micro-Econometrics for Policy, Program and Treatment Effects

Автор: Lee, Myoung-jae
Название: Micro-Econometrics for Policy, Program and Treatment Effects
ISBN: 0199267693 ISBN-13(EAN): 9780199267699
Издательство: Oxford Academ
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Цена: 7681.00 р.
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Описание: This is one of the first books to provide a textbook exposition of the literature on how to measure accurately the `effects` of a `treatment`, such as a drug, educational programme, or tax regime, on a response variable like an illness, GPA, or income. The book focuses on non-experimental, microeconometric estimation.

A Course in Econometrics

Автор: Goldberger, Arthur S.
Название: A Course in Econometrics
ISBN: 0674175441 ISBN-13(EAN): 9780674175440
Издательство: Wiley
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Цена: 13298.00 р.
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Описание: This text prepares first-year graduate students and advanced undergraduates for empirical research in economics, and also equips them for specialization in econometric theory, business, and sociology.


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