Introduction to financial models for management and planning, Morris, James R. (university Of Colorado, Denver, Usa) Daley, John P. (university Of Colorado, Denver, Usa)

Автор: James, Gareth Witten, Daniela Hastie, Trevor Tibsh
Название: Introduction to statistical learning
ISBN: 1071614177 ISBN-13(EAN): 9781071614174
Издательство: Springer
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Цена: 55890.00 T
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Описание: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more.

Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers.

An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naive Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.

Автор: Gomes, Maria Isabel,
Название: Mathematical models for decision making with multiple perspectives :
ISBN: 0367440741 ISBN-13(EAN): 9780367440749
Издательство: Taylor&Francis
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Цена: 153120.00 T
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Описание: This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered by different books. It is written in a didactic form using examples to help understanding of the proposed methodologies better.

Автор: Valdez Stephen
Название: An Introduction to Global Financial Markets
ISBN: 1137497556 ISBN-13(EAN): 9781137497550
Издательство: Springer
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Цена: 56830.00 T
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Описание: An accessible but comprehensive guide to the world of finance and financial markets. Taking an international approach, the authors examine the different types of banking and markets around the world, and cover foreign exchange and derivative products. This edition is right up to date and incorporates recent events and developments in finance.

Автор: Tayali, Halit Alper (istanbul Universitesi)
Название: Introduction to mathematical models in operations planning
ISBN: 1032191996 ISBN-13(EAN): 9781032191997
Издательство: Taylor&Francis
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Цена: 56130.00 T
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Автор: Ross, Sheldon M.
Название: Introduction To Probability And Statistics For Engineers And Scientists
ISBN: 0128243465 ISBN-13(EAN): 9780128243466
Издательство: Elsevier Science
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Цена: 110030.00 T
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Описание: Letter Jam is a 2-6 player cooperative word game where players assist each other in composing meaningful words from letters around the table. The trick is holding the letter card so that it`s only visible to other players and not to you.At the start of the game, each player receives a set of face-down letter cards that can be arranged to form an existing word. The setup can be prepared by using a special card scanning app, or by players selecting words for each other. Each player then puts their first card in their stand facing the other players without looking at it, and the game begins.The game is played in turns. Each turn, players simultaneously search other players` letters to see what words they can spell out (telling the others the length of the word they can make up). The player who offers the longest word can then be chosen as the clue giver.The clue giver spells out their clue by putting numbered tokens in front of the other players. Number one goes to the player whose letter comes first in the clue, number two to the second letter etc. They can always use a wild card which can be any letter, but they cannot tell others which letter it represents.Each player with a numbered token (or tokens) in front of them then tries to figure out what their letter is. If they do, they place the card face down before revealing the next letter. At the end of the game, players can then rearrange the cards to try to form an existing word. All players then reveal their cards to see if they were successful or not. The more players who have an existing word in front of them, the bigger their common success.

Автор: Burfisher, Mary E.
Название: Introduction to computable general equilibrium models 3rd edition
ISBN: 1108748023 ISBN-13(EAN): 9781108748025
Издательство: Cambridge Academ
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Цена: 54910.00 T
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Описание: This intuitive, hands-on introduction to computable general equilibrium models (a tool used to support public policy making on issues including trade, climate change and taxation) will benefit students across a spectrum of economic studies, including international trade, environmental economics, macroeconomics, microeconomics, and public finance.

Автор: Hens, Thorsten Rieger, Marc Oliver
Название: Financial economics
ISBN: 3662496860 ISBN-13(EAN): 9783662496862
Издательство: Springer
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Цена: 93160.00 T
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Описание: Financial economics is a fascinating topic where ideas from economics, mathematics and, most recently, psychology are combined to understand financial markets. This book gives a concise introduction into this field and includes for the first time recent results from behavioral finance that help to understand many puzzles in traditional finance.

Автор: Olivieri, Annamaria Pitacco, Ermanno
Название: Introduction to insurance mathematics
ISBN: 3319213768 ISBN-13(EAN): 9783319213767
Издательство: Springer
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Цена: 65210.00 T
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Описание: Introduction to Insurance Mathematics

Автор: Igor V. Evstigneev; Thorsten Hens; Klaus Reiner Sc
Название: Mathematical Financial Economics
ISBN: 3319165704 ISBN-13(EAN): 9783319165707
Издательство: Springer
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Цена: 74530.00 T
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Описание: This textbook is an elementary introduction to the key topics in mathematical finance and financial economics - two realms of ideas that substantially overlap but are often treated separately from each other.

Автор: Tsay
Название: An Introduction to Analysis of Financial Data with R
ISBN: 0470890819 ISBN-13(EAN): 9780470890813
Издательство: Wiley
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Цена: 124550.00 T
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Описание: A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data.

Автор: Murphy David
Название: OTC Derivatives, Bilateral Trading and Central Clearing
ISBN: 1137293853 ISBN-13(EAN): 9781137293855
Издательство: Springer
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Цена: 60550.00 T
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Описание: After the credit crisis, supervisors enacted a range of financial reforms. In particular, they radically changed the nature of the OTC derivatives market via a number of measures, notably mandatory central clearing. This book discusses the market before the crisis, explains what central clearing is, and outlines the consequences of the new rules.

Автор: Hastings
Название: Introduction to Financial Mathematics
ISBN: 149872390X ISBN-13(EAN): 9781498723909
Издательство: Taylor&Francis
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Цена: 99010.00 T
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Описание:

Introduction to Financial Mathematics is ideal for an introductory undergraduate course. Unlike most textbooks aimed at more advanced courses, the text motivates students through a discussion of personal finances and portfolio management. The author then goes on to cover valuation of financial derivatives in discrete time, using all of closed form, recursive, and simulation methods.

The text covers nearly all of the syllabus topics of the Financial Mathematics Actuarial examination, providing students with the foundation they require for future studies and throughout their careers. It begins by covering standard material on the mathematics of interest, including compound interest, present value, annuities, loans, several versions of the rate of return on an investment, and interest in continuous time.

The text explains how to value bonds at their issue dates, at coupon times, between coupon times, and in cases where the bonds are terminated early. Next, it supplies a rapid-fire overview of the main ideas and techniques of discrete probability, including sample spaces and probability measures, random variables and distributions, expectation, conditional probability, and independence.

The author introduces the basic terminology of stocks and stock trading. He also explains how to derive the rate of return on a portfolio and how to use the idea of risk aversion to model the investor tradeoff between risk and return. The text also discusses the estimation of parameters of asset models from real data.

The text closes with a detailed discussion of how to value financial derivatives using anti-arbitrage assumptions. The one-step and multi-step cases are covered, and exotic options such as barrier options are also introduced, to which simulation methods are applied.

Many of the examples in the book involve numerical solution of complicated non-linear equations; others ask students to produce algorithms which beg to be implemented as programs. For maximum flexibility, the author has produced the text without adhering to any particular computational platform.

A digital version of this text is also available in the form of Mathematica notebooks that contain additional content.