RBI Grade B Syllabus 2021-22 (Detailed) pdf | RBI Gr-B Phase 1-2 Exam Pattern

(Paper Scheme for RBI Grade B Phase 1 Exam 2021)

(Exam Pattern)

RBI Grade B 2021 Syllabus Pdf

(RBI Grade B Phase 1 Syllabus 2021 by Topics Wise)

English Language:

• Jumble Words
• Vocabulary
• Passage Making
• Grammar
• Error Spotting
• Fill in the Blanks
• Sentence Framing
• Comprehension

Quantitative Aptitude:

• Average
• Time and Work
• Percentage
• Permutation and Combination
• Algebra
• Speed, Distance and Time
• Mixture and Allegations
• Stocks and Shares
• Ratio and Proportion
• Mensuration
• Probability
• Set Theory
• Trigonometry
• Data Interpretation

Reasoning:

• Coding Decoding
• Syllogism
• Circular Arrangement
• Linear Arrangement
• Floor Puzzle
• Scheduling
• Machine Input Output
• Data Sufficiency
• Inequality
• Ordering and Ranking
• Arrangement and Pattern
• Blood Relations
• Verbal Reasoning
• Direction and Distance

General Awareness:

• Monetary Plans
• National Institutions
• Current Affairs
• Indian Financial Systems
• Indian Banking Systems
• Banking Terms

Economic News:

• Economics Terms
• Important Guidelines
• Financial & Economics News

Static Awareness:

• Political Science
• Environmental Facts
• Parks, Dam, Thermal Power Plants, Mountains, Temples, Stadiums, Airports etc
• Daily News, National and International News
• Geography
• Science
• History
• Books by Famous Personalities
• Sports

Current Affairs:

• Books by Famous Personalities
• Sports
• People & Places in News
• Science & Technology
• Defense
• Awards, Summits & Conferences
• Government Schemes, Agreement & Deal
• Daily News, National and International News

(Paper Scheme for RBI Grade B Phase 2 Exam 2021)

(Exam Pattern)

(RBI Grade B Phase 2 Syllabus 2021 by Topics Wise)

RBI Grade B Phase 2 Exam Syllabus 2021 for Statistics:

• Linear Models: General Linear models, BLUE, method of least squares, Gauss-Markoff theorem, estimation of error variance, Simple and Multiple linear regression models, Important assumptions and treatments in case of assumption’s violation, Regression diagnostics, Analysis of variance in one, two and three-way classifications, Analysis of Covariance in one and two-way classifications.
• Statistical Inference: Properties of estimators, MVUE, Rao-Blackwell and Lehmann-Scheffe theorems, Cramer-Rao inequality, methods of estimation, properties of maximum likelihood and other estimators, confidence intervals. Simple and composite hypotheses, Type I and Type II errors, size, and power of a test, Most Powerful and Uniformly Most Powerful tests, Neyman-Pearson lemma, Likelihood Ratio test and its properties and applications. SPRT, OC and ASN functions, Tests of goodness of fit. Parametric vs. Non-parametric Test, Frequently-used nonparametric inferential statistical methods.

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• Probability: Random variables, Theorems of probability, Conditional probability, Independent events, Bayes’ theorem and its application, expectation, moments, distribution functions, Binomial, Poisson, Geometric, Exponential, Negative Binomial, Hypergeometric, Cauchy, Laplace, Logistic, Pareto, Log-normal, Beta and Gamma distributions, Weibull, Uniform, Bivariate normal distribution and truncated distributions, Markov’s inequality, Chebyshev’s inequality, Cauchy-Schwarz inequality, Laws of large numbers, Central limit theorems and applications.
• Statistical Methods: Population and sample, Measures of central tendencies Parameter and Statistic, Correlation and Regression, intraclass correlation, multiple and partial correlations, Spearman’s coefficient of rank correlation, Z, chi-square, t and F statistics and their properties and applications, Large sample distributions, Variance stabilizing transformations, sin inverse, square root, logarithmic and z transformation.
• Multivariate Analysis: Bivariate and Multivariate normal distribution, marginal and conditional distribution, Estimation of the mean vector and covariance matrix, Asymptotic properties of estimators, the Sampling distribution of X and S, Mahalanobis D2 and Hotelling’s T2 and its applications.
• Applied Economic Statistics: Time Series vs. cross-sectional data, Multiplicative and additive models, Auto-correlation, Partial autocorrelation, Smoothing techniques, Seasonal and cyclical adjustment. Price and Quantity Index numbers, Types of index numbers and their properties. Chain and Fixed base index numbers, Cost of Living Index numbers, Wholesale Price Index, Consumer Price Index, Index of Industrial Production, Gini’s coefficient, Lorenz curves, Application of Pareto and Lognormal as income distributions.
• Vital Statistics: Sources of vital statistics compilation, Errors in the census and registration data, Measurement of the population, rate and ratio of vital events, Stationary and Stable population, Life Tables, Measures of Fertility, Mortality, and Reproduction, Crude rates of natural growth, Pearl’s Vital Index.
• Optimization Techniques and Statistical Quality Control: Linear Programming, Transportation Problem, Assignment Problem, Basics of Simulation, Quality control, Process Control, and Product Control, control Page 8 of 10 charts, Acceptance Sampling plan, single and double sampling plans (ASN, OC, ATI, LTPD, AOQL).
• Sample Surveys and Design of Experiments: Simple and Stratified random sampling, ratio and regression methods of estimation, Double Sampling, Systematic, Cluster, two stages and PPS sampling. Sampling and Non-sampling errors. Principles of Design of Experiments, Completely Randomized Design, Randomized Block Design, Latin Square Design, missing plot technique, 22 and 23 factorial designs, Split-Plot Design, and Balanced Incomplete Block Design, Fractional factorial experiments
• Numerical Analysis: Principles of floating point computations and rounding errors, Linear Equations factorization methods, pivoting and scaling, residual error correction method, Iterative methods, Jacobi, Gauss-Seidel methods, Newton and Newton-like methods, unconstrained optimization, Lagrange interpolation techniques, Cubic Splines, Error estimates, Polynomials and least squares approximation; Integration by interpolation, adaptive quadratures and Gauss methods.
• Basic Computer Applications: Functional organization of computers, algorithms, basic programming concepts, Program testing and debugging, Subprograms and Subroutines, Sorting/searching methods, Database Management Systems, Software Engineering, Basic of Networking, Internet Technologies, Web and HTML, Distributed systems, Programming using C, Minitab and Fortran.

(a) Microeconomics

• Consumers behavior and firms; the value of resources like land, labor, and capital
• Markets-monopoly, perfect and imperfect competition
• General Equilibrium of price and activity, economic welfare and case for regulatory / policy interventions

 (b) Macroeconomics

• Measuring national income and its components; basic macro identities and idea of macro-balance; Goods and Financial Market Equilibrium (ISLM Framework).
• Major macro-economic school of thoughts; Classical, Keynesian and Monetarist.
• Consumption and Investment demand; demand management policies and their effectiveness.
• Money demand and supply; monetary and fiscal policies.

RBI Grade B Phase 2 Syllabus 2021 Pdf

(c) International Economics

• Benefit of International trade; comparative and absolute advantage; effect of International trade on resources allocation and factor price equalization; non-conventional trade barriers, optimum currency areas, and effect of the customs union.
• International finance and exchange rates issues in an open economy, benefits, and costs of inter-connected financial markets; evolution of international financial architecture.

(d) Public Economics

• Public Goods, instruments of financing, government tax, and non-tax revenue.
• Direct and Indirect taxes, efficiency costs of commodity taxes, income taxation, labor supply, and savings, corporate taxation, and corporate behavior.
• Government expenditure policy-various components, deficit financing and its impact on the economy, government debt and crowding out of private capital.

(e) India’s Economy and Development Issues

• India’s experimentations with planned development models and the outcomes, structural issues-savings and investment, demography, urbanization, productivity, etc., issues with poverty, inequality, and employment.
• Agriculture- policy and developments, manufacturing competitiveness; what is holding India back, role of public sector enterprises in the key economic sectors, India’s resilient service sector; trade, tourism, communication, ITES, etc.
• Financial sector regulation and reforms-banking, insurance and capital market, fiscal policy and the changing priorities of government, the emergence of monetary policy and its new role.

Finance:

(a) Financial System

• Regulators of Banks and Financial Institutions
• Reserve Bank of India- functions, and conduct of monetary policy, Banking System in India, Financial Institutions – SIDBI, EXIM, NABARD, NHB etc.

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

(c) General Topics

• Basics of Derivatives: Forward, Futures, and Swap
• Alternate source of finance, private and social cost-benefit, Public Private Partnership
• Corporate Governance in Banking Sector, the role of e-governance in addressing the issues of corruption and inefficiency in the government sector.
• The Union Budget – Direct and Indirect taxes; Non-tax sources of Revenue, GST, Thirteenth Finance Commission and GST, Finance Commission, Fiscal Policy, Fiscal Responsibility and Budget Management Act (FRBM)
• Changing Landscape of Banking sector
• Recent Developments in the Financial Sector, Portfolio Investment, Public Sector Reforms, Disinvestments
• Financial Inclusion- use of technology
• Risk Management in Banking Sector
• Inflation: Definition, trends, estimates, consequences, and remedies (control): WPI, CPI – components and trends.

RBI Grade B Exam Pattern 2021

Management 

• Human Resource Development: Concept of HRD; Goals of HRD; Performance Appraisal – Potential appraisal and development – Feedback and Performance Counselling – Career Planning – Training and Development – Rewards – Employee Welfare.
• 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.
• Corporate Governance: Factors affecting Corporate Governance; Mechanisms of Corporate Governance.
• Motivation, Morale, and Incentives: Theories of Motivation; How Managers Motivate; Concept of Morale; Factors determining morale; Role of Incentives in Building up Morale.
• Management: Its nature and scope; The Management Processes; Planning, Organisation, Staffing, Directing and controlling; The Role of a Manager in an Organisation. Leadership: The Tasks of a Leader; Leadership Styles; Leadership Theories; A successful Leader versus an effective Leader.