PhD Core and Field courses
These courses are offered on a semestral basis. One semester is 17 weeks. Each course is 3 hours per week and gives 3 credit units to the student.
Consumer choice; choice under uncertainty; analysis of firm behavior; market structure; principal-agent problem; general equilibrium, public goods & externalities.
Macroeconomic theory; schools of thought in macroeconomics; growth theory; financial market systems
Deterministic and stochastic models applied to business
Multivariate statistical models
Single and simultaneous equation regression estimation using time series data, cross-section data and panel data; estimation with qualitative dependent variables; generalized method of moments
Basic portfolio theory; static and dynamic asset pricing theories; analysis of financial markets.
Risk measurement and modeling including value at risk; options and other financial derivatives; credit, market, operational and integrated risk management strategies.
Open-economy macroeconomics; exchange rate regimes; International capital markets
Capital budgeting; theory of capital structure; corporate governance, corporate control and capital restructuring
Empirical testing of CAPM, APT, CCAPM, and other asset pricing models; market volatility and market microstructure studies; interest rate models; advanced financial econometric issues
Empirical models of consumer behavior and markets.
Behavioral concepts as applied to organizations
Strategy formulation and implementation at the firm level.
Exercise of monopoly power; degrees of price discrimination; Short-run price competition; dynamic price competition; price and non-price competition through product differentiation; information and strategic behavior.
Economic, political, and legal foundation of public regulation; benefits and costs of regulation, effects of regulation, alternatives to regulation, and the issues of regulatory reform and deregulation.
The interaction of the firm with the macro-environment; research concepts and scientific methods; formulation of hypotheses, measurement concepts and multivariate analytical tools. Blend of behavioral science and quantitative approaches in the research applications.
1.0 - highest (increments of 0.25 up to the passing mark of 3.0); 5.0 - failing
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