M.Com in Financial Markets
Semester-wise Syllabus for M.Com in Financial Markets
Semester 1: Foundations of Financial Markets
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Financial Accounting & Reporting
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Advanced accounting standards (Ind AS, IFRS)
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Financial statement analysis (ratios, cash flow statements)
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Economics for Financial Markets
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Macroeconomic indicators (GDP, inflation, interest rates)
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Monetary policy and its impact on markets
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Quantitative Techniques for Finance
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Time value of money, probability, statistical tools
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Excel modeling for financial analysis
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Principles of Financial Management
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Capital budgeting, cost of capital, working capital management
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Dividend policy and corporate valuation
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Business Communication & Ethics
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Report writing, presentation skills
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Ethical issues in financial markets (insider trading, fraud prevention)
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Semester 2: Core Financial Markets & Instruments
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Security Analysis & Portfolio Management
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Fundamental vs. technical analysis
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Modern Portfolio Theory (MPT), CAPM, Alpha/Beta
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Indian Financial System
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Structure of financial markets (money, debt, equity, forex)
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Role of SEBI, RBI, stock exchanges (NSE, BSE)
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Derivatives & Risk Management
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Futures, options, swaps (Black-Scholes model)
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Hedging strategies (delta, gamma hedging)
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Fixed Income Securities
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Bond valuation, yield curves, duration/convexity
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Government securities (G-Secs, T-bills)
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Elective I (Choose One)
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Behavioral Finance (Market anomalies, investor psychology)
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Commodity Markets (Gold, crude oil, agri-commodities)
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Semester 3: Advanced Financial Markets & Regulations
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Investment Banking & Financial Services
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Mergers & acquisitions (M&A), IPOs, private equity
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Valuation methods (DCF, comparables)
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International Financial Markets
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Forex markets (spot, forward, currency swaps)
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Eurobonds, ADRs/GDRs
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Technical Analysis & Trading Strategies
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Chart patterns (head & shoulders, candlesticks)
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Algorithmic trading basics
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Financial Regulations & Compliance
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SEBI Act, FEMA, insider trading regulations
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Basel norms, anti-money laundering (AML)
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Elective II (Choose One)
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FinTech & Digital Finance (Blockchain, robo-advisors)
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Wealth Management (Asset allocation, tax planning)
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Semester 4: Practical Applications & Research
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Financial Modeling & Valuation
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Advanced Excel, DCF modeling
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Case studies (valuation of startups, M&A deals)
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Market Research & Trading Simulation
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Virtual trading platforms (NSE NOW, MetaTrader)
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Live market analysis (equity, forex)
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Dissertation/Internship
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Project with broking firms, AMCs, or banks
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Research topic (e.g., "Impact of RBI Policy on Stock Markets")
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Certification Prep & Viva
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NISM/CFA Level 1 exam preparation
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Mock interviews for roles like Equity Analyst, Risk Manager
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