RBI Grade B Syllabus 2024

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 RBI Grade B Syllabus 2024

RBI Grade B Phase 1 Syllabus 2024 PDF (DR) General - Quantitative Aptitude

The aspirants can check the RBI Grade B phase 1 syllabus 2024 pdf free download given below in the table for
Quantitative aptitude.

 Number Series
 Data Interpretation
 Quadratic Equation
 HCF & LCM
 Simplification
 Approximation
 Profit & Loss
 Simple Interest & Compound
Interest
 Time & Work
 Time, Speed, & Distance
 Decimal & Fraction
 Data Sufficiency
RBI Grade B Prelims Syllabus 2024 PDF Download - DR - General
 Quantity Based Questions
(Quantitative Aptitude)
 Averages
 Partnership
 Percentages
 Mixture & Alligations
 Ratio & Proportion
 Boats and Streams
 Problems On Trains
 Ages
 Mensuration
 Pipes and Cisterns
 Permutation & Combination
 Probability

RBI Grade B Prelims Syllabus 2024 PDF (DR) General - English Language

The English section of RBI Grade B Syllabus 2024 pdf free download is given below. This section is mostly based
on grammar topics. Practice daily to avoid grammar mistakes in this section.

 Reading Comprehensions
 Grammar
 Spotting Errors
RBI Grade B Phase 1 Syllabus 2024 PDF for DR - General (English  Fill in the Blanks
Language)  Misspelled Words
 Jumbled Words
 Rearrangement of Sentence
 Jumbled sentences

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 RBI Grade B Syllabus 2024
 Idioms and Phrases
 Cloze Tests
 Match the Column
 One word Substitution
 Sentence correction
 Identify the Correct Sentence
 Antonyms and Synonyms
 Word Replacement
 Word Usage
 Word rearrangement
 Phrase Replacement
 Sentence Connector
 Sentence Improvement
 Vocabulary
 Word Swap
 Pairs of words
 Starters

RBI Grade B Phase 1 Syllabus 2024 PDF (DR) General - Reasoning

The Reasoning section in RBI Grade B Syllabus pdf download 2024 is given below. This section is difficult by
practicing constantly to clear the reasoning topics.

 Puzzles
 Seating Arrangement
 Number Sequence
 Input - Output
 Coding-Decoding
 Blood Relation
 Syllogism
 Alphabet test
 Alphanumeric Sequence
RBI Grade B Syllabus 2024 PDF Free Download for DR - General  Order & Ranking
(Reasoning)  Causes and Effects
 Direction Sense
 Word Formation
 Inequality
 Statement and Assumption
 Assertion and Reason
 Statement and Conclusion
 Statement and Arguments
 Statements and Action Courses

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RBI Grade B Prelims Syllabus 2024 PDF (DR) General - General Awareness

The General Awareness section for RBI Grade B Syllabus 2024 pdf free download is given below. Without the
knowledge of daily current affairs and details of our country, no one can able to answer this section.

 Current Affairs
 Banking Awareness
RBI Grade B Prelims Syllabus 2024 PDF  Government Schemes & Policies
Download for DR - General (General  Financial awareness
Awareness)  Static GK such as Currencies & Capitals, Awards & Honors,
Books and Authors, National Parks & Sanctuaries, etc.

RBI Grade B Syllabus 2024 PDF (DR) General - Phase 2

The aspirants can check the RBI Grade B syllabus Phase 2 pdf 2024 provided below. The RBI Grade B Syllabus
2024 for DR - General phase 2 consists of three subjects. They are Economic & Social Issues, Finance, and
Management.

RBI Grade B Syllabus 2024 PDF (DR) General - Phase 2 - Paper 1: Economic and Social Issues (ESI)

The candidates can check here the RBI Grade B Syllabus 2024 pdf free download for phase 2 - paper 1.

Growth and Development – Measurement of growth - National Income and per capita income – Poverty Alleviation
and Employment Generation in India – Sustainable Development and Environmental issues.

Indian Economy– Economic History of India - Changes in Industrial and Labour Policy, Monetary and Fiscal Policy
since reforms of 1991 – Priorities and recommendations of Economic Survey and Union Budget – Indian Money and
Financial Markets - Linkages with the economy – Role of Indian banks and Reserve Bank in the development process
- Public Finance - Political Economy - Industrial Developments in India- Indian Agriculture - Services sector in
India.

Globalization– Opening up of the Indian Economy – Balance of Payments, Export-Import Policy – International
Economic Institutions – IMF and World Bank – WTO – Regional Economic Cooperation; International Economic
Issues

Social Structure in India– Multiculturalism – Demographic Trends – Urbanisation and Migration – Gender Issues –
Social Justice.

RBI Grade B Syllabus 2024 PDF (DR) General - Phase 2 - Paper 2: English Writing Skills

RBI Grade B Syllabus 2024 pdf free download for paper 2 on English shall be framed in a manner to assess the
writing skills including expression and understanding of the topic.

RBI Grade B Syllabus 2024 PDF (DR) General - Phase 2 - Paper 3: Finance and Management

Check here the updated RBI Grade B Syllabus 2024 pdf free download for paper 3.

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 RBI Grade B Syllabus 2024
Financial System

The financial system section for the RBI Grade B Syllabus 2024 pdf for paper 3 is given below. Study the topics
given below.

1. Structure and Functions of Financial Institutions

2. Functions of Reserve Bank of India
3. Banking System in India – Structure and Developments, Financial Institutions – SIDBI, EXIM Bank, NABARD,
NHB, NaBFID etc.
4. Recent Developments in Global Financial System and its impact on Indian Financial System
5. Role of Information Technology in Banking and Finance
6. Non-Banking System
7. Developments in Digital Payments.

Financial Markets

The financial markets section for RBI Grade B Syllabus 2024 pdf free download for paper 3 is given below.

 Financial Markets Primary and Secondary Markets (Forex, Money, Bond, Equity, etc.), functions,
instruments, recent developments.

General Topics

The general topics section for the RBI Grade B Syllabus pdf 2024 download for paper 3 is given below. Study the
topics given below.

 Financial Risk Management

 Basics of Derivatives
 Global financial markets and International Banking – broad trends and latest developments.
 Financial Inclusion
 Alternate source of finance, private and social cost-benefit, Public-Private Partnership
 Corporate Governance in Banking Sector
 The Union Budget – Concepts, approach, and broad trends
 Inflation - Definition, trends, estimates, consequences, and remedies (control): WPI, CPI - components and
trends; striking a balance between inflation and growth through monetary and fiscal policies.
 Basics of Accounting and Financial Statements - Balance Sheet, Profit and Loss, Cash Flow Statements, Ratio
Analysis (such as Debt to Equity, Debtor Days, Creditor Days, Inventory Turnover, Return on Assets, Return
on Equity, etc.)

Management

The management section for RBI Grade B Syllabus pdf download 2024 for paper 3 is given below. Prepare the topics
given below.

Fundamentals of Management & Organizational Behaviour - Introduction to management; Evolution of

management thought: Scientific, Administrative, Human Relations, and Systems approach to management;
Management functions and Managerial roles; Nudge theory Meaning & concept of organizational behavior;
Personality: meaning, factors affecting personality, Big five model of personality; the concept of reinforcement;

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 RBI Grade B Syllabus 2024
Perception: concept, perceptual errors. Motivation: Concept, importance, Content theories (Maslow’s need theory,
Alderfers’ ERG theory, McCllelands’ theory of needs, Herzberg’s two-factor theory) & Process theories (Adams
equity theory, Vroom's expectancy theory).

Leadership - Concept, Theories (Trait, Behavioural, Contingency, Charismatic, Transactional and Transformational
Leadership; Emotional Intelligence: Concept, Importance, Dimensions. Analysis of Interpersonal Relationship:
Transactional Analysis, Johari Window; Conflict: Concept, Sources, Types, Management of Conflict; Organizational
Change: Concept, Kurt Lewin Theory of Change; Organizational Development (OD): Organisational Change,
Strategies for Change, Theories of Planned Change (Lewin’s change model, Action research model, Positive model).

Ethics at the Workplace - Meaning of ethics, why ethical problems occur in business. Theories of ethics:
Utilitarianism: weighing social cost and benefits, rights and duties, Justice and fairness, ethics of care, integrating
utility, rights, justice and caring, An alternative to moral principles: virtue ethics, teleological theories, egoism theory,
relativism theory, Moral issues in business: Ethics in Compliance, Finance, Human Resources, Marketing, etc.
Ethical Principles in Business: introduction, Organization Structure, and Ethics, Role of Board of Directors, Best
Practices in Ethics Programme, Code of Ethics, Code of Conduct, etc.

Corporate Governance: Factors affecting Corporate Governance; Mechanisms of Corporate Governance.

Communication - Steps in the Communication Process; Communication Channels; Oral versus Written
Communication; Verbal versus non-verbal Communication; upward, downward and lateral communication; Barriers
to Communication, Role of Information Technology.

The best books for RBI Grade B Phase 2 are here. By preparing with these books the aspirants can score more marks
in the examination. The aspirants thoroughly check the RBI Grade B Syllabus 2024 pdf free download and follow the
books suggested here.

Subject Suggested Reference Material

Uma Kapila (series of books)

Indian Economy: Mishra & Puri (Latest Edition)

Growth and Development: Devraj Ray

Sociology: C.N. Shankar Rao

Public Finance - K K Andley and Sundaram

Economic and Social Issues
Prominent Financial Newspapers

Magazines/Periodicals/ Bulletins including RBI Bulletins, EPW, India

Today, etc.

Reports - World Development Report, Economic Survey of India, RBI

Annual Report, Report on Trend and Progress of Banking in India,
Report on Currency and Finance etc., IMF: World Economic Outlook

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 RBI Grade B Syllabus 2024
Material sourced from RBI & BIS website
Monetary Theory and Public Policy – Kenneth Kurihara

Indian Economy – Mishra & Puri

Economic Growth and Development – Mayer and Baldwin

Financial Management – Prasanna Chandra

Major financial newspapers

Finance
International business by Hill and Jain

RBI Annual Report, Report on Trend and Progress of Banking in India,

etc.

Economic Survey

Material sourced from RBI website

Stephen P. Robbins & Mary Coulter, Management.

Robbins Stephen P and Judge T.A. Vohra, Organisational Behaviour

Dessler Gary, Warkkey Biju- Human Resource Management

Decenzo and Robbins- Fundamentals of Human Resource Management

Management
Velasquez Manuel G: Business Ethics- Concepts and Cases.

Fernando A.C.: Business Ethics – An Indian Perspective.

Crane Andrew & Matten Dirk: Business Ethics

Ghosh BN: Business Ethics & Corporate Governance

RBI Grade B Syllabus 2024 (DR) - DEPR

The candidates can check here the RBI Grade B Syllabus 2024 for (DR)-DPER.

RBI Grade B Syllabus 2024 (DR) - DEPR - Phase I - Paper I - Objective Type (on Economics)

(1) Microeconomics (Theories of consumer’s demand; Production; Market Structures and Pricing; Distribution; and
Welfare Economics)

(2) Macro Economics (Theories of Employment, Output and Inflation; Monetary Economics; ISLM Model; Schools
of Economic Thought)

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 RBI Grade B Syllabus 2024
(3) International Economics (Theories of International Trade; Balance of Payments; Exchange Rate Models)

(4) Theories of Economic Growth and Development (Classical neo-classical approaches to economic growth and
major theories of economic development)

(5) Public Finance (Theories of taxation and public expenditure and Public Debt Management)

(6) Environmental Economics (Green GDP, Environmental Valuation, Environmental policy instruments)

(7) Quantitative Methods in Economics (Mathematical and Statistical Methods for Economics, Ordinary Least Square
Regression)

(8) Current developments in Indian Economy (Growth, inflation, poverty, unemployment, financial sector
developments, external sector developments, fiscal developments, agriculture, industry, infrastructure, and services)

RBI Grade B Syllabus 2024 (DR) - DEPR - Phase I - Paper 2 - Descriptive Type (English)

The paper on English shall be framed in a manner to assess the writing skills including expression and understanding
of the topic.

RBI Grade B Syllabus 2024 (DR) - DEPR - Phase 2 - Paper 1 - Descriptive Type (on Economics) (Question
paper displayed on computer, answers to be written on paper)

Microeconomic Module:

Consumer Theory: Cardinal and Marginal Utility Analysis, Consumer Surplus, Indifference Curve Analysis, Price,
Income and Substitution Effects, Game Theory

Production Theory: Forms of Production function; Laws of Returns to Scale; Partial Equilibrium Vs General
Equilibrium Analysis

Market Theory: Pricing under different market structures

Distribution Theories: Ricardo, Marx, Kalecki and Kaldor

Welfare Economics: Pareto Optimality, Schools of Welfare Thought including Arrow, Coase and Sen

Macroeconomic Module:

National Income Accounting: Various methods for measurement of National Income

Theory of employment and Output: Classical and Neo-classical approaches, Keynesian theory of Employment and
output, Post-Keynesian developments, Business Cycles

Inflation: Types of Inflation, Philip's curve, Taylor’s Rule, Lucas Critique

Money and Banking: Quantity theory of Money, Neutrality of money, IS - LM Model and AD-AS Models, Money
Multiplier, Monetary Policy – Scope, Objectives and instruments, Inflation targeting

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 RBI Grade B Syllabus 2024
Theories of Economic Growth and Development: Theories of growth, Classical and neoclassical approaches,
Theories of Economic Development

International trade and Balance of payments: Theories of international trade, Determination of exchange rates,
Impossible Trinity

Public Finance: Theories of taxation, Theories of public expenditure, Theories of public debt management

(Equal weightage will be given to Microeconomic and Macroeconomic modules)

RBI Grade B Syllabus 2024 (DR) - DEPR - Phase 2 - Paper 2 - Descriptive Type (on Economics) (Question
paper displayed on computer, answers to be written on paper)

Module on Quantitative Methods in Economics:

Mathematical Methods in Economics: Differentiation and Integration, Optimisation, Sets, Matrices, Linear algebra
and Linear programming

Statistical Methods in Economics: Measures of central tendency and dispersions, Probability, Time series, Index
numbers.

Econometrics and advanced Applications: Regression analysis, Panel data econometrics, Time Series econometrics,
Basics of Bayesian Econometrics, Basic application of Artificial Intelligence/ Machine Learning

Module on Indian Economy – Policy and Trends:

Fiscal policy in India: Evolution, scope and limitations, current trends

Monetary Policy in India: Evolution, Functions of the Reserve Bank of India, MonetaryFiscal coordination, Inflation
targeting, Operating framework of Monetary Policy, Current trends

Banking and financial sector development in India: Banks and other constituents of Indian financial markets and
related developments, Current trends

Inflation in India: Trends and drivers

External sector developments in India: Exchange rate management, external debt, Balance of payments, Current
trends

Sectoral and other developments in India: Agriculture, industry, services and social sector-related developments

(Equal weightage will be given to Quantitative Economics and Indian Economy-related modules)

Suggested reading material: For Phase - II (Paper I - Micro and Macroeconomics Modules)
Subject Materials

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 RBI Grade B Syllabus 2024

Hal R. Varian; Intermediate Microeconomics: A Modern Approach, 9th edition,

2019. The workbook, Workouts in Intermediate Microeconomics, by Hal R. Varian
and Theodore C. Bergstrom may be used for problems.
Microeconomics
A. Koutsoyiannis; Modern Microeconomics, International Edition.

C.E. Ferguson and J.P. Gould; Microeconomic Theory.

Dornbusch, Fischer and Startz; Macroeconomics, McGraw Hill, 13th edition, 2018.

Macroeconomics Olivier Blanchard; Macroeconomics, Pearson Education, Inc., 8th edition, 2021.

Brian Snowdon and Howard R. Vane; Modern Macroeconomics: Its Origin,

Development and Current State, Edward Elgar Publishing Ltd, 2005.

Paul R. Krugman, Maurice Obstfeld and Marc Melitz; International Economics:

Theory and Policy, Pearson Education, 12th edition, 2022.
International Economics
Dominick Salvatore; International Economics: Trade and Finance, Wiley, 11th
edition, 2014.

Richard A. Musgrave and Peggy B. Musgrave; Public Finance in Theory and

Practice, McGraw Hill, 5th edition, 2017.
Public Finance
Stiglitz, J.E. and Jay K. Rosengard Economics of the Public Sector, W.W. Norton &
Company, 4th edition, 2015.

A.P. Thirlwall; Economics of Development: Theory and Evidence, Macmillan, 9th

edition, 2011.
Growth and Development
Debraj Ray, Development Economics, Oxford University Press, 2009.

Basu, K., Analytical Development Economics, The Less Developed Economy

Revisited, MIT Press, 2003

Suggested reading material: For Phase - II (Paper II - Modules on Quantitative Methods in Economics and
Indian Economy)

Simon, Carl P. and Lawrence Blume; Mathematics for Economists, W. W. Norton &
Mathematical Methods in Company, Inc., 1994.
Economics
Kevin Wainwright and Alpha C. Chiang; Fundamental Methods of Mathematical
Economics, 4th edition, McGraw-Hill, 2005

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 RBI Grade B Syllabus 2024
D. N. Gujarati and D.C. Porter; Essentials of Econometrics, McGraw-Hill, 4th
edition, International Edition, 2010.
Econometrics
Wooldridge, J.M; Introductory Econometrics: A Modern Approach, Cengage
Learning, 7th edition, 2022.
N. G. Das; Statistical Methods, McGraw-Hill, 2008.
Statistics
Miller, I., Miller, M.; John E. Freund’s Mathematical Statistics with Applications, 8th
edition, Pearson, 2021.
Economic Survey, Government of India, Various Issues

India Development Report, Oxford University Press, Various Issues.

Uma Kapila, Indian Economy since Independence, Academic Foundation, Various

Issues.
Indian Economy
RBI Annual Report – Last two years.

RBI Report on Trends and Progress of Banking in India – Last two years.

Monetary Policy Reports – Last two years.

Financial Stability Report – Last two years

RBI Grade B Syllabus 2024 (DR) - DSIM

The aspirants can check the RBI Grade B Syllabus 2024 pdf free download for (DR)-DSIM Post.

Paper-I: Questions would cover Probability: Definition of Probability, Standard distribution, Large and small sample
theory, Analysis of Variance, Estimation, Testing of Hypotheses, Multivariate analysis, and Stochastic Processes.

Paper-II: Questions would cover (i) Probability and Sampling, (ii) Linear Models and Economic Statistics, (iii)
Statistical Inference: Estimation, Testing of hypothesis and Non-parametric Test, (iv) Stochastic Processes, (v)
Multivariate analysis (vi) Econometrics and time series, (vii) Statistical computing; and (viii) Data Science, Artificial
Intelligence and Machine Learning Techniques.

The detailed syllabus for paper 2 here:

1. Theory of Probability and Probability Distributions:

Classical and axiomatic approach of probability and its properties, Bayes Theorem and its application, strong and
weak laws of large numbers, characteristic functions, central limit theorem, probability inequalities.

Standard probability distributions – Binomial, Poison, Geometric, Negative binomial, Uniform, Normal, exponential,
Logistic, Log-normal, Beta, Gamma, Weibull, Bivariate normal etc.

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 RBI Grade B Syllabus 2024
Exact Sampling distributions - Chi-square, student’s t, F and Z distributions and their applications. Asymptotic
sampling distributions and large sample tests, association and analysis of contingency tables.

Sampling Theory: Standard sampling methods such simple random sampling, Stratified random sampling,
Systematic sampling, Cluster sampling, Two stage sampling, Probability proportional to size etc. Ratio estimation,
Regression estimation, non-sampling errors and problem of non-response, and Correspondence and categorical data
analysis.

2. Linear Models and Economic Statistics

Simple linear regression - assumptions, estimation, and inference diagnostic checks; polynomial regression,
transformations on Y or X (Box-Cox, square root, log etc.), method of weighted least squares, inverse regression.
Multiple regression - Standard Gauss Markov setup, least squares estimation and related properties, regression
analysis with correlated observations. Simultaneous estimation of linear parametric functions, Testing of hypotheses;
Confidence intervals and regions; Multicollinearity and ridge regression, LASSO.

Definition and construction of index numbers, Standard index numbers; Conversion of chain base index to fixed base
and vice-versa; base shifting, splicing and deflating of index numbers; Measurement of economic inequality: Gini's
coefficient, Lorenz curves etc.

3. Statistical Inference: Estimation, Testing of Hypothesis and Non-Parametric Test

Estimation - Concepts of estimation, unbiasedness, sufficiency, consistency and efficiency. Factorization theorem.
Complete statistic, Minimum variance unbiased estimator (MVUE), Rao-Blackwell and Lehmann-Scheffe theorems
and their applications. Cramer-Rao inequality.

Methods of Estimation - Method of moments, method of maximum likelihood estimation, method of least square,
method of minimum Chi-square, basic idea of Bayes estimators.

Principles of Test of Significance - Type-I and Type-II errors, critical region, level of significance, size and power,
best critical region, most powerful test, uniformly most powerful test, Neyman Pearson theory of testing of
hypothesis. Likelihood ratio tests, Tests of goodness of fit. Bartlett's test for homogeneity of variances.

Non-Parametric Test - The Kolmogorov-Smirnov test, Sign test, Wilcoxon Signed-rank test, Wilcoxon Rank-Sum
test, Mann Whitney U-test, Kruskal-Walls one way ANOVA test, Friedman's test, Kendall's Tau coefficient,
Spearman's coefficient of rank correlation.

4. Stochastic Processes

Poisson Processes - Arrival, interarrival and conditional arrival distributions. Non-homogeneous Processes. Law of
Rare Events and Poisson Process. Compound Poisson Processes.

Markov Chains - Transition probability matrix, Chapman- Kolmogorov equations, Regular chains and Stationary
distributions, Periodicity, Limit theorems. Patterns for recurrent events. Brownian Motion - Limit of Random Walk,
its defining characteristics and peculiarities; Martingales.

5. Multivariate Analysis

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 RBI Grade B Syllabus 2024
Multivariate normal distribution and its properties and characterization; Wishart matrix, its distribution and
properties, Hotelling’s T2 statistic, its distribution and properties, and its applications in tests on mean vector,
Mahalanobis’ D2 statistics; Canonical correlation analysis, Principal components analysis, Factor analysis and cluster
analysis.

6. Econometrics and Time Series

General linear model and its extensions, ordinary least squares and generalized least squares estimation and
prediction, heteroscedastic disturbances, pure and mixed estimation. Auto correlation, its consequences and related
tests; Theil BLUS procedure, estimation and prediction; issue of multi-collinearity, its implications and tools for
handling it; Ridge regression.

Linear regression and stochastic regression, instrumental variable regression, autoregressive linear regression,
distributed lag models, estimation of lags by OLS method. Simultaneous linear equations model and its
generalization, identification problem, restrictions on structural parameters, rank and order conditions; different
estimation methods for simultaneous equations model, prediction and simultaneous confidence intervals.

Exploratory analysis of time series; Concepts of weak and strong stationarity; AR, MA and ARMA processes and
their properties; model identification based on ACF and PACF; model estimation and diagnostic tests; BoxJenkins
models; ARCH/GARCH models.

Inference with Non-Stationary Models - ARIMA model, determination of the order of integration, trend
stationarity and difference stationary processes, tests of non-stationarity.

7. Statistical Computing

Simulation techniques for various probability models, and resampling methods jack-knife, bootstrap and
crossvalidation; techniques for robust linear regression, nonlinear and generalized linear regression problem,
treestructured regression and classification; Analysis of incomplete data – EM algorithm, single and multiple
imputation; Markov Chain Monte Carlo and annealing techniques, Gibbs sampling, Metropolis-Hastings algorithm;
Neural Networks, Association Rules and learning algorithms.

8. Data Science, Artificial Intelligence and Machine Learning Techniques

Introduction to supervised and unsupervised pattern classification; unsupervised and reinforcement learning, basics of
optimization, model accuracy measures.

Supervised Algorithms

Linear Regression, Logistic Regression, Penalized Regression, Naïve Bayes, Nearest Neighbour, Decision Tree,
Support Vector Machine, Kernel density estimation and kernel discriminant analysis; Classification under a
regression framework, neural network, kernel regression and tree and random forests.

Unsupervised Classification

Hierarchical and non-hierarchical methods: k-means, k-medoids and linkage methods, Cluster validation indices:
Dunn index, Gap statistics.

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 RBI Grade B Syllabus 2024
Bagging (Random Forest) and Boosting (Adaptive Boosting, Gradient Boosting) techniques; Recurrent Neural
Network (RNN); Convolutional Neural Network; Natural Language Processing.

Paper-III: English: The paper on English shall be framed in a manner to assess the writing skills including
expression and understanding of the topic.

Suggested Reading Material for paper 1 & 2

Subject Material
Rohatgi, V. K. and Saleh, A.K. Md. E. (2005). An
Introduction to Probability and Statistics

Goon, A.M., Gupta, M.K. and Dasgupta. B. (1985). An

Outline of Statistical Theory VolI & II
Theory of Probability and Probability Distributions
Sukhatme, P.V., Sukhatme, B.V., Sukhatme, S. and Asok,
C. (1984). Sampling Theory of Surveys with Applications

S. C. Gupta, V. K. Kapoor (2000). Fundamentals of

Mathematical Statistics

W.G. Cochran (1977). Sampling Techniques

P.G. Hoel, S.C. Port and C.J. Stone (1971). Introduction to
Statistical Theory

Linear Models and Economic Statistics A.M. Mood, F.A. Graybill and D.C. Boes (1974).
Introduction to Theory of Statistics

R. G. D. Allen (1975). Index Numbers in Theory and

Practice
Kale, B.K. (1999). A First Course on Parametric Inference

Rao, C.R. (1973). Linear Statistical Inference and Its

Applications
Statistical Inference
Bartoszynski, R. and Bugaj, M.N. (2007). Probability and
Statistical Inference

Gibbons, J.D. and Chakraborti, S. (1992). Nonparametric

Statistical Inference
Bhat, B.R. (2000). Stochastic Models- Analysis and
Applications
Stochastic Processes
Prabhu, N.U. (2007). Stochastic Processes: Basic Theory
and its Applications

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 RBI Grade B Syllabus 2024
J. Medhi (2009). Stochastic Process
Anderson, T.W. (2003). An Introduction to Multivariate
Statistical Analysis

Arnold, Steven F. (1981). The Theory of Linear Models

and Multivariate Analysis
Multivariate Analysis
Giri, N.C. (1977). Multivariate Statistical Inference,
Academic Press

Alvin C. Rencher (2012). Methods of Multivariate

Analysis
Johnston, J. (1984). Econometric Methods

James H. Stock and Mark W. Watson (2019). Introduction

Econometrics and Time Series to Econometrics

J.D. Hamilton (1994). Time Series Analysis

William H. Greene (2018). Econometric Analysis

Sheldon M. Ross (2012). Simulation

Trevor Hastie, Robert Tibshirani, Jerome Friedman

(2009). The Elements of Statistical Learning, Data
Mining, Inference, and Prediction, Second Edition
Statistical Computing and Data Science, Artificial Intelligence
and Machine Learning Techniques Charu C. Aggarwal (2018). Neural Networks and Deep
Learning

Roger D. Peng: Advanced Statistical Computing

William J. Kennedy, Jr. and James E. Gentle: Statistical

Computing

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