Information and Communication Technologies in Education, Research, and Industrial Applications PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Information and Communication Technologies in Education, Research, and Industrial Applications PDF full book. Access full book title Information and Communication Technologies in Education, Research, and Industrial Applications by Vadim Ermolayev. Download full books in PDF and EPUB format.
Author: Vadim Ermolayev Publisher: Springer Nature ISBN: 303039459X Category : Education Languages : en Pages : 450
Book Description
This book contains extended versions of the best papers presented at the 15th International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications, ICTERI 2019, held in Kherson, Ukraine, in June 2019. The 19 revised full papers included in this volume were carefully reviewed and selected from 416 initial submissions. The papers are organized in the following topical sections: advances in ICT and IS research; ICT in teaching, learning, and education management; applications of ICT in industrial and public practice.
Author: Vadim Ermolayev Publisher: Springer Nature ISBN: 303039459X Category : Education Languages : en Pages : 450
Book Description
This book contains extended versions of the best papers presented at the 15th International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications, ICTERI 2019, held in Kherson, Ukraine, in June 2019. The 19 revised full papers included in this volume were carefully reviewed and selected from 416 initial submissions. The papers are organized in the following topical sections: advances in ICT and IS research; ICT in teaching, learning, and education management; applications of ICT in industrial and public practice.
Author: Michael Sheimo Publisher: McGraw Hill Professional ISBN: 0071454829 Category : Business & Economics Languages : en Pages : 240
Book Description
Unwritten rules of Wall Street--what works, what doesn't, and how investors can tell the difference. Investing is governed by unofficial rules, passed to investors through brokers, the financial press, and even fellow investors For more than a decade, in two previous editions, Stock Market Rules has helped investors separate the most valuable of these maxims from the meaningless and even potentially harmful. But with recent market turbulence and scandals blindsiding millions of investors, the time has come for a new, updated edition. Stock Market Rules, Third Edition, is that book, an in-depth, up-to-date examination of the 50 axioms that will most help investors gain the edge in today's technologically supercharged markets.
Author: Cheng Few Lee Publisher: World Scientific ISBN: 9811202400 Category : Business & Economics Languages : en Pages : 5053
Book Description
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
Author: Ganapathy Vidyamurthy Publisher: John Wiley & Sons ISBN: 111804570X Category : Business & Economics Languages : en Pages : 295
Book Description
The first in-depth analysis of pairs trading Pairs trading is a market-neutral strategy in its most simple form. The strategy involves being long (or bullish) one asset and short (or bearish) another. If properly performed, the investor will gain if the market rises or falls. Pairs Trading reveals the secrets of this rigorous quantitative analysis program to provide individuals and investment houses with the tools they need to successfully implement and profit from this proven trading methodology. Pairs Trading contains specific and tested formulas for identifying and investing in pairs, and answers important questions such as what ratio should be used to construct the pairs properly. Ganapathy Vidyamurthy (Stamford, CT) is currently a quantitative software analyst and developer at a major New York City hedge fund.
Author: Carol Alexander Publisher: John Wiley & Sons ISBN: 0470997990 Category : Business & Economics Languages : en Pages : 1691
Book Description
Market Risk Analysis is the most comprehensive, rigorous and detailed resource available on market risk analysis. Written as a series of four interlinked volumes each title is self-contained, although numerous cross-references to other volumes enable readers to obtain further background knowledge and information about financial applications. Volume I: Quantitative Methods in Finance covers the essential mathematical and financial background for subsequent volumes. Although many readers will already be familiar with this material, few competing texts contain such a complete and pedagogical exposition of all the basic quantitative concepts required for market risk analysis. There are six comprehensive chapters covering all the calculus, linear algebra, probability and statistics, numerical methods and portfolio mathematics that are necessary for market risk analysis. This is an ideal background text for a Masters course in finance. Volume II: Practical Financial Econometrics provides a detailed understanding of financial econometrics, with applications to asset pricing and fund management as well as to market risk analysis. It covers equity factor models, including a detailed analysis of the Barra model and tracking error, principal component analysis, volatility and correlation, GARCH, cointegration, copulas, Markov switching, quantile regression, discrete choice models, non-linear regression, forecasting and model evaluation. Volume III: Pricing, Hedging and Trading Financial Instruments has five very long chapters on the pricing, hedging and trading of bonds and swaps, futures and forwards, options and volatility as well detailed descriptions of mapping portfolios of these financial instruments to their risk factors. There are numerous examples, all coded in interactive Excel spreadsheets, including many pricing formulae for exotic options but excluding the calibration of stochastic volatility models, for which Matlab code is provided. The chapters on options and volatility together constitute 50% of the book, the slightly longer chapter on volatility concentrating on the dynamic properties the two volatility surfaces the implied and the local volatility surfaces that accompany an option pricing model, with particular reference to hedging. Volume IV: Value at Risk Models builds on the three previous volumes to provide by far the most comprehensive and detailed treatment of market VaR models that is currently available in any textbook. The exposition starts at an elementary level but, as in all the other volumes, the pedagogical approach accompanied by numerous interactive Excel spreadsheets allows readers to experience the application of parametric linear, historical simulation and Monte Carlo VaR models to increasingly complex portfolios. Starting with simple positions, after a few chapters we apply value-at-risk models to interest rate sensitive portfolios, large international securities portfolios, commodity futures, path dependent options and much else. This rigorous treatment includes many new results and applications to regulatory and economic capital allocation, measurement of VaR model risk and stress testing.
Author: Yves Hilpisch Publisher: John Wiley & Sons ISBN: 1119167930 Category : Business & Economics Languages : en Pages : 398
Book Description
Leverage Python for expert-level volatility and variance derivative trading Listed Volatility and Variance Derivatives is a comprehensive treatment of all aspects of these increasingly popular derivatives products, and has the distinction of being both the first to cover European volatility and variance products provided by Eurex and the first to offer Python code for implementing comprehensive quantitative analyses of these financial products. For those who want to get started right away, the book is accompanied by a dedicated Web page and a Github repository that includes all the code from the book for easy replication and use, as well as a hosted version of all the code for immediate execution. Python is fast making inroads into financial modelling and derivatives analytics, and recent developments allow Python to be as fast as pure C++ or C while consisting generally of only 10% of the code lines associated with the compiled languages. This complete guide offers rare insight into the use of Python to undertake complex quantitative analyses of listed volatility and variance derivatives. Learn how to use Python for data and financial analysis, and reproduce stylised facts on volatility and variance markets Gain an understanding of the fundamental techniques of modelling volatility and variance and the model-free replication of variance Familiarise yourself with micro structure elements of the markets for listed volatility and variance derivatives Reproduce all results and graphics with IPython/Jupyter Notebooks and Python codes that accompany the book Listed Volatility and Variance Derivatives is the complete guide to Python-based quantitative analysis of these Eurex derivatives products.
Author: Vadim Ermolayev
Author: Vadim Ermolayev
Author: 
Author: 
Author: Michael Sheimo
Author: Cheng Few Lee
Author: Edgar O. Edwards
Author: Ganapathy Vidyamurthy
Author: Standard and Poor's Corporation
Author: Carol Alexander
Author: Yves Hilpisch