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Reseach Article

Proposal on Financial Computing Algorithm and Analysis

by Raghav Sethi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 7
Year of Publication: 2015
Authors: Raghav Sethi
10.5120/ijca2015905959

Raghav Sethi . Proposal on Financial Computing Algorithm and Analysis. International Journal of Computer Applications. 125, 7 ( September 2015), 36-40. DOI=10.5120/ijca2015905959

@article{ 10.5120/ijca2015905959,
author = { Raghav Sethi },
title = { Proposal on Financial Computing Algorithm and Analysis },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 7 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number7/22447-2015905959/ },
doi = { 10.5120/ijca2015905959 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:15:26.105357+05:30
%A Raghav Sethi
%T Proposal on Financial Computing Algorithm and Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 7
%P 36-40
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Algorithmic Finance is currently a nascent topic in today’s time and is being researched around by various researchers around the globe. It involves the use of computer programs to buy and sell securities based on a pre-determined set of rules. Such algorithms have gained widespread use among institutional investors in major markets around the world. This paper discusses the various aspects of a financial algorithm and its prospects in the future. Algorithmic finance, being a relatively new field has plenty of scope to grow. The scope of this field of study, which we are inclined towards, is to develop software, which would help us understand the market trends. Since it is a computer algorithm, it would save a lot of time and effort, and also reduce the risk of our investment by a considerable margin. Algorithmic trading may be used in any investment strategy or trading strategy, including market making, inter-market spreading, arbitrage, or pure speculation (including trend following). The investment decision and implementation may be augmented at any stage with algorithmic support or may operate completely automatically.

References
  1. Adaptive arrival place by Robert Almgren and Julian Lorenz
  2. Monte-Carlo Evaluation of trading systems by Timothy Masters
  3. Algorithmic Trading and Computational Finance by Michael Kearns (Computer and information science, University of Pennsylvania)
  4. Online Financial Algorithms by Sandeep Kumar and Deepak Telang (Thapar University, Patiala)
  5. Daniel Safarik Algorithms a la Carte. Wall Street & Technology, January 30, 2006.
  6. Nenad Yashruti Seeing Is Believing. Head Trader, Freestone Capital Management; Wall Street & Technology; November 21, 2006.
  7. John Bates Algorithmic gymnastics – keeping at least one vault ahead of the rest. Hedge Funds Review, June 2006
  8. Katherine Heires Algorithms and Clearing Wrapped Up in One Algorithmic Trading. Wall Street & Technology; May 25, 2006
  9. Daniel Safarik The ‘Holy Grail’: Pre-Trade Analytics. Wall Street & Technology March 01, 2005.
  10. I. Domowitz, H. Yegerman, “Measuring and interpreting the performance of broker algorithms” in ITG Inc. Research Report, August 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Financial instruments Derivatives Funds Indices Statistical graphs small cap mid cap High frequency trading algo-trading