Datamining Und Computational Finance
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Computational Finance and Its Applications III
Featuring papers from the Third International Conference on Computational Finance and its Applications, the text includes papers that encompass a wide range of topics such as modern financial services technologies, derivatives pricing, portfolio management and asset allocation, and intelligent trading agents.
Handbook on Information Technology in Finance
Author: Detlef Seese
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-05-27
Why do we need a handbook on Information Technology (IT) and Finance? At first, because both IT as well as finance, are some of the most prominent driving forces of our contemporary world. Secondly, because both areas develop with a terrific speed causing an urgent need of up to date information on recent dev- opments. Thirdly, because serious applications of IT in Finance require specialists with a professional training and professional knowledge in both areas. Over the last decades the world has seen many changes in politics, economics, science and legislation. The driving forces behind many of these developments are of a technological nature. One of the key technologies with this respect is Infor- tion Technology. IT is the most prominent technology revolutionizing the ind- trial development, from products and processes to services, as well as finance, which is itself one of the central pillars of modern economics. The explosive - velopment of the Internet emphasizes the importance of IT, since it is today’s key factor driving global access and availability of information and allows the division of labour on an international scale, the globalization. The profound transformation of finance and the financial industry over the last twenty years was driven by technological developments – e. g.
Computational Finance
Author: Argimiro Arratia
language: en
Publisher: Springer Science & Business Media
Release Date: 2014-05-08
The book covers a wide range of topics, yet essential, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance. In that regard it is unique in its kind, for it touches upon the basic principles of all three main components of CF, with hands-on examples for programming models in R. Thus, the first chapter gives an introduction to the Principles of Corporate Finance: the markets of stock and options, valuation and economic theory, framed within Computation and Information Theory (e.g. the famous Efficient Market Hypothesis is stated in terms of computational complexity, a new perspective). Chapters 2 and 3 give the necessary tools of Statistics for analyzing financial time series, it also goes in depth into the concepts of correlation, causality and clustering. Chapters 4 and 5 review the most important discrete and continuous models for financial time series. Each model is provided with an example program in R. Chapter 6 covers the essentials of Technical Analysis (TA) and Fundamental Analysis. This chapter is suitable for people outside academics and into the world of financial investments, as a primer in the methods of charting and analysis of value for stocks, as it is done in the financial industry. Moreover, a mathematical foundation to the seemly ad-hoc methods of TA is given, and this is new in a presentation of TA. Chapter 7 reviews the most important heuristics for optimization: simulated annealing, genetic programming, and ant colonies (swarm intelligence) which is material to feed the computer savvy readers. Chapter 8 gives the basic principles of portfolio management, through the mean-variance model, and optimization under different constraints which is a topic of current research in computation, due to its complexity. One important aspect of this chapter is that it teaches how to use the powerful tools for portfolio analysis from the RMetrics R-package. Chapter 9 is a natural continuation of chapter 8 into the new area of research of online portfolio selection. The basic model of the universal portfolio of Cover and approximate methods to compute are also described.