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Books in Data collection and data estimation methodology computer programs

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    • Actuarial Principles

      Lifetables and Mortality Models
      • 1st Edition
      • Andrew Leung
      • English
      Actuarial Principles: Lifetables and Mortality Models explores the core of actuarial science: the study of mortality and other risks and applications. Including the CT4 and CT5 UK courses, but applicable to a global audience, this work lightly covers the mathematical and theoretical background of the subject to focus on real life practice. It offers a brief history of the field, why actuarial notation has become universal, and how theory can be applied to many situations. Uniquely covering both life contingency risks and survival models, the text provides numerous exercises (and their solutions), along with complete self-contained real-world assignments.

    • Price Level Measurement

      • 1st Edition
      • Volume 196
      • W.E. Diewert
      • English
      Among the theoretical issues covered in this volume are the "economic" and the "axiomatic" or "test" approaches to the problem of constructing and choosing among alternative cost-of-living index formulas; "bounds" and "econometric" alternatives for developing empirically computable approximations of theoretically desirable indexes; recommendations concerning the incorporation of leisure time in measures of the cost-of-living; and the formulation of social and group cost-of-living indexes. The Jorgenson-Slesnick paper also presents a far-reaching empirical study of price changes in the U.S.The importance of this book to those with an interest in economic theory is obvious. However, this book also holds out the opportunity and challenge to applied researchers to gain a deeper understanding of the index numbers of which they make daily use.

    • Next Generation Datacenters in Financial Services

      Driving Extreme Efficiency and Effective Cost Savings
      • 1st Edition
      • Tony Bishop
      • English
      Financial markets are witnessing an unprecedented explosion in the availability of data, and the firms that survive will be able to leverage this information to increase their profit and expand their opportunities in a global world. Large firms must build their own datacenters to manage this data. In such an environment, the CIO’s ability is crucial to lead an effective data strategy to capture, process, and connect data to all the relevant lines of business. At the core of this strategy lies the datacenter – the repository of all information. While there are books that discuss the mechanics, hardware and technicalities of datacenters, no book has yet made the connection between enterprise strategy and datacenter investment, design and management. Next Generation DataCenters in Financial Services is a solution driven book for management that demonstrates how to leverage technology to manage the seemingly infinite amount of data available today. Each chapter offers cutting-edge management and technology solutions to effectively manage data through datacenters.

    • Computational Finance Using C and C#

      • 1st Edition
      • George Levy
      • English
      Computational Finance Using C and C# raises computational finance to the next level using the languages of both standard C and C#. The inclusion of both these languages enables readers to match their use of the book to their firm’s internal software and code requirements. The book also provides derivatives pricing information for equity derivates (vanilla options, quantos, generic equity basket options); interest rate derivatives (FRAs, swaps, quantos); foreign exchange derivatives (FX forwards, FX options); and credit derivatives (credit default swaps, defaultable bonds, total return swaps).This book is organized into 8 chapters, beginning with an overview of financial derivatives followed by an introduction to stochastic processes. The discussion then shifts to generation of random variates; European options; single asset American options; multi-asset options; other financial derivatives; and C# portfolio pricing application. The text is supported by a multi-tier website which enables purchasers of the book to download free software, which includes executable files, configuration files, and results files. With these files the user can run the C# portfolio pricing application and change the portfolio composition and the attributes of the deals.This book will be of interest to financial engineers and analysts as well as numerical analysts in banking, insurance, and corporate finance.

    • Building Automated Trading Systems

      With an Introduction to Visual C++.NET 2005
      • 1st Edition
      • Benjamin Van Vliet
      • English
      Over the next few years, the proprietary trading and hedge fund industries will migrate largely to automated trade selection and execution systems. Indeed, this is already happening. While several finance books provide C++ code for pricing derivatives and performing numerical calculations, none approaches the topic from a system design perspective. This book will be divided into two sections: programming techniques and automated trading system ( ATS ) technology and teach financial system design and development from the absolute ground up using Microsoft Visual C++.NET 2005. MS Visual C++.NET 2005 has been chosen as the implementation language primarily because most trading firms and large banks have developed and continue to develop their proprietary algorithms in ISO C++ and Visual C++.NET provides the greatest flexibility for incorporating these legacy algorithms into working systems. Furthermore, the .NET Framework and development environment provide the best libraries and tools for rapid development of trading systems. The first section of the book explains Visual C++.NET 2005 in detail and focuses on the required programming knowledge for automated trading system development, including object oriented design, delegates and events, enumerations, random number generation, timing and timer objects, and data management with STL.NET and .NET collections. Furthermore, since most legacy code and modeling code in the financial markets is done in ISO C++, this book looks in depth at several advanced topics relating to managed/unmanaged/CO... memory management and interoperability. Further, this book provides dozens of examples illustrating the use of database connectivity with ADO.NET and an extensive treatment of SQL and FIX and XML/FIXML. Advanced programming topics such as threading, sockets, as well as using C++.NET to connect to Excel are also discussed at length and supported by examples. The second section of the book explains technological concerns and design concepts for automated trading systems. Specifically, chapters are devoted to handling real-time data feeds, managing orders in the exchange order book, position selection, and risk management. A .dll is included in the book that will emulate connection to a widely used industry API ( Trading Technologies, Inc.’s XTAPI ) and provide ways to test position and order management algorithms. Design patterns are presented for market taking systems based upon technical analysis as well as for market making systems using intermarket spreads. As all of the chapters revolve around computer programming for financial engineering and trading system development, this book will educate traders, financial engineers, quantitative analysts, students of quantitative finance and even experienced programmers on technological issues that revolve around development of financial applications in a Microsoft environment and the construction and implementation of real-time trading systems and tools.

    • An Introduction to High-Frequency Finance

      • 1st Edition
      • Ramazan Gençay + 4 more
      • English
      Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data.This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.

    • Data Reconciliation and Gross Error Detection

      An Intelligent Use of Process Data
      • 1st Edition
      • Shankar Narasimhan + 1 more
      • English
      This book provides a systematic and comprehensive treatment of the variety of methods available for applying data reconciliation techniques. Data filtering, data compression and the impact of measurement selection on data reconciliation are also exhaustively explained.Data errors can cause big problems in any process plant or refinery. Process measurements can be correupted by power supply flucutations, network transmission and signla conversion noise, analog input filtering, changes in ambient conditions, instrument malfunctioning, miscalibration, and the wear and corrosion of sensors, among other factors. Here's a book that helps you detect, analyze, solve, and avoid the data acquisition problems that can rob plants of peak performance. This indispensable volume provides crucial insights into data reconciliation and gorss error detection techniques that are essential fro optimal process control and information systems. This book is an invaluable tool for engineers and managers faced with the selection and implementation of data reconciliation software, or for those developing such software. For industrial personnel and students, Data Reconciliation and Gross Error Detection is the ultimate reference.

    • Notes and Problems in Applied General Equilibrium Economics

      • 1st Edition
      • Volume 32
      • K.R. Pearson + 4 more
      • English
      "General-equilibrium... refers to an analytical approach which looks at the economy as a complete system of inter-dependent components (industries, households, investors, governments, importers and exporters). "Applied" means that the primary interest is in systems that can be used to provide quantitative analysis of economic policy problems in particular countries. Reflecting the authors' belief in the models as vehicles for practical policy analysis, a considerable amount of material on data and solution techniques as well as on theoretical structures has been included. The sequence of chapters follows what is seen as the historical development of the subject.The book is directed at graduate students and professional economists who may have an interest in constructing or applying general equilibrium models. The exercises and readings in the book provide a comprehensive introduction to applied general equilibrium modeling. To enable the reader to acquire hands-on experience with computer implementations of the models which are described in the book, a companion set of diskettes is available.