Quantitative Methods – Part II – Revised FYBBI Syllabus 2016

Quantitative Methods – Part II – Revised FYBBI Syllabus 2016

Modules at a Glance

Sr. No. Modules No. of Lectures
1 Testing of Hypothesis 10
2 Linear Programming Techniques 10
3 Matrices & Determinants (Application in Business and Economics) 10
4 Ratio, Proportion & Percentage 10
5 Statistical Applications In Investment Management 15
6 Economic indicators 05
Total 60

Quantitative Methods – Part II – Syllabus Overview

Sr. No. Modules / Units
1 Testing of Hypothesis
Testing of hypotheses: Null Hypothesis, Alternative Hypothesis, Decision Criterion, Critical Region, Type I and Type II Error, level of significance, Test based on large Sample for Means and Proportion/s
2 Linear Programming Techniques
Meaning, Advantages, limitations, business applications, basic terminology, formulation of linear Programming ProbIems, Graphical Method of solving Linear Programming Problems, Simplex method (upto 3 variables) with Maximisation and Minimisation. Duality in Linear Programming (concept only)
3 Matrices & Determinants (Application in Business and Economics)
Matrices, Types of Matrices, Transpose, Addition, MultIplication, Subtraction of a Matrix, Determinants, Type of  Determinants, inverse of a matrix by Pivotal Reduction Method, Adjoint Method and Row / Column Transformation. Application of Matrices and Determinants to Business and Economics. (Please concentrate on application of Matrices and Determinants to Business & Economics)
4 Ratio, Proportion & Percentage
Ratio Definition, Continued Ratio, Inverse Ratio, Proportion, Continued Proportion, Direct Proportion, Inverse proportion, Variation, Inverse Variation, Joint Variation, Percentage: Meaning & Computation of Percentage.
5 Statistical Applications In Investment Management
Expected return from shares (using probability) Measuring total risk from investigator shares (using standard deviations) Partitioning risk into systematic and unsystematic component (using co-variance) Measuring risks of portfolio (using co-relation) to draw conclusions regarding share prices (using testing of hypothesis).
6 Economic indicators
GDP, Real growth in GDP price level Inflation rate, Money supply, Index for agricultural production Index for industrial production, Electrical

 

Reference books for subject: Quantitative Methods – Part II

Quantitative Methods-II
  • Mathematics for Economics & Finance by Martin Anthony & Norman Biggs.
  • Fundamentals of Statistics – D. N. Elhance,
  • Statistical Methods – S.G. Gupta (S. Chand & Co.
  • Statistics for Management – Lovin R. Rubin D.S, (Prentice Hall of India)
  • Statistics – Theory, Method & Applications D.S.Sancheti & V. K. Kapoor.
  • Modern Business Statistics – (Revised)-B. Pearles & C. Sullivan -Prentice Hall of India.
  • Business Mathematics & Statistics : B Aggarwal, Ane Book Pvt. Limited
  • Business Mathematics : D C Sancheti & V K Kapoor, Sultan Chand & Sons
  • Business Mathematics : A P Verma, Asian Books Pvt. :Limited.
  • lRDA: IC. 33
  • Fundamentals of Applied Statistics: S G Gupta and V K Kapoor, Sultan Chand & Co

 

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