18751081-COMPUTATIONAL-FINANCE - Computational finance...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
Computational finance Computational finance or financial engineering is a cross-disciplinary field which relies on mathematical finance , numerical methods , computational intelligence and computer simulations to make trading , hedging and investment decisions, as well as facilitating the risk management of those decisions. Utilizing various methods, practitioners of computational finance aim to precisely determine the financial risk that certain financial instruments create. 1) Mathematical finance 2) Numerical methods 3) Computer simulations 4) Computational intelligence 5) Financial risk History Generally, individuals who fill positions in computational finance are known as quants ”, referring to the quantitative skills necessary to perform the job. Specifically, knowledge of the C++ programming language , as well as of the mathematical subfields of: stochastic calculus , multivariate calculus , linear algebra , differential equations , probability theory and statistical inference are often entry level requisites for such a position. C++ has become the dominant language for two main reasons: the computationally intensive nature of many algorithms, and the focus on libraries rather than applications. Computational finance was traditionally populated by Ph.Ds in finance, physics and mathematics who moved into the field from more pure, academic backgrounds (either directly from graduate school, or after teaching or research). However, as the actual use of computers has become essential to rapidly carrying out computational finance decisions, a background in computer programming has become useful, and hence many computer programmers enter the field either from Ph.D. programs or from other fields of software engineering . In recent years, advanced computational methods, such as neural network and evolutionary computation have opened new doors in computational finance. Practitioners of computational finance have come from the fields of signal processing and computational fluid dynamics and artificial intelligence . Today, all full service institutional finance firms employ computational finance professionals in their banking and finance operations (as opposed to being ancillary information technology specialists), while there are many other boutique firms ranging from 20 or fewer employees to several thousand that specialize in quantitative trading alone. was one of the first firms to create a large derivatives business and employ computational finance (including through the formation of RiskMetrics ), while is probably the oldest and largest quant fund ( Citadel Investment Group is a major rival). 1/61
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 01/27/2011 for the course CS 4555 taught by Professor Ghorbani during the Spring '10 term at University of New Brunswick.

Page1 / 61

18751081-COMPUTATIONAL-FINANCE - Computational finance...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online