Workshop: Quantitative finance with R

7/29/2019 Workshop: Quantitative finance with R

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IntroductionCoursework

PrerequisitesAbout the Instructor

Contact details

Quantitative Finance with R

Analyse real world data to solve real world problems

March 22, 2013

Analyse real world data to solve real world problems Quantitative Finance with R
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This an era of Big Data.

There is a critical shortage of people with skills to manageand analyse big data in the workforce, which is why HalVarian (Chief Economist at Google) says that experts inthis domain will be the sexy job for the next 10 years.

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Table of contents

1 IntroductionQuantitative financeR statistical softwareResources and users of R

2 CourseworkThe four fold objectiveCoverage of the course workStudy materials

3 Prerequisites

Subject knowledge and computer skills4 About the Instructor

Qualification and experience

5 Contact details

[email protected] , Mob: 91 8595422942Analyse real world data to solve real world problems Quantitative Finance with R
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Quantitative financeR statistical softwareResources and users of R

Why to learn Quantitative Finance?

The most important reason: Increasing demand forquantitative and computational skill in finance job market.

Translate theories into dynamics of real world and understandthe limitation of theory in practice.

Analyse big data which are getting generated every fraction ofa second.

Develop models used in quantitative and computationalfinance


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Why to use R in Quantitative Finance

The most powerful open source statistical programming forempirical work in finance.

Unlike SPSS, SAS and other statistical software, R is a freesoftware.

R runs on Linux, Windows and Mac operating system.

The R packages are developed, tested, implemented and

distributed for free, by the professors from the bestuniversities and institutes in finance on earth.

Instant free help from large active R for Finance users.


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ResourcesHigh quality resources are available free in internet.

Large user community provides instant and spontaneousresponse to queries.

The R users

Universities and MBA institutes1

University of Chicago Booth School of BusinessUniversity of WashingtonJohns Hopkins University

IGIDRNumber of user communities

Europe 40, USA 39, Asia 13, India 2

1some personally known,to know more,type [R] in universities in www.

google.comAnalyse real world data to solve real world problems Quantitative Finance with R

Introduction
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The four fold objectiveCoverage of the course workStudy materials

Objective of the coursework

Basics of R programming

Use R to analyse financial data, estimate statistical modelsand construct optimised portfolios

Learn tools and techniques which are in demand

Analyse real financial data to solve real world problems


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Key Features

Installation of R

Data import, data types and variables

Financial data handling

Analyse BIG data

Graphics in R

Modelling financial dataReport preparing


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Application in Finance

Return and its adjustment for inflation

Probability Review

Risk measures: Value at Risk

Monte carlo Simulation

Bootstrapping

Risk BudgetingPortfolio analysis and modelling


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The deliverables

Books (soft copies)

Reference materials as when referred during the courseworkHomework assignments

R codes used during the lecture

Class notes and slides

Interim exam assignments


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Subject knowledge and computer skills

Prerequisites

Economics

Economic foundations of business environment

FinanceIntroduction to financial management

Financial marketsStatistics

Introduction to descriptive statistics and probability

Computer and Computer skills

Personal computer with Linux, Windows or Mac OSInternet connectionAt times we need to download real data through R fromvarious vendors and institutions like World Bank,FRED andothers (no extra cost on data).

No programming skillsAnalyse real world data to solve real world problems Quantitative Finance with R

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CourseworkPrerequisites

About the InstructorContact details

Qualification and experience

The Instructor

Qualification

MS (Economics) & MBF (Finance)

Research, Consulting and Academic engagements

Presently working with one of best globally recognised researchinstitution.Seven years of consulting experience with large institutions in Govt

and corporate.A member in academic council of a MBA institute specialised infinance.


Introduction


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CourseworkPrerequisites

About the InstructorContact details

[email protected] , Mob: 91 8595422942

Thank You.

Please contact for meeting, presentation and discussion regardingimplementation of the coursework at your institution:-Email: [email protected] Mob: 91 8595422942


Documents

Workshop: Quantitative finance with R