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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom, Campus Based/Physical Classroom | Video and Text Based | Weekends |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIM Bodh Gaya |
The Syllabus
- Module 1: Managerial Accounting - Introduction to Financial Accounting, Balance Sheet and Income Statement, Cash Flow Statement, Financial Statement Analysis, Cost Analysis & Cost Allocation Management Accounting
- Module 2: Financial Management - Financial Markets and Instruments, Time Value of Money, Risk & Return
- Module 3: Corporate Finance - Working Capital Management and Cash Budgeting, Financial Forecasting, Capital Budgeting, Capital Structure Theories, Valuation of Levered Firms
- Module 4: Corporate Valuation - Corporate Valuation – DCF Methods, Corporate Valuation – Relative Valuation, Valuation of Banks and Financial Institutions, Valuation of Early-stage Firms and Start-ups, Merger Valuation and Deal Arithmetic
- Module 5: Portfolio Management - Stock valuation, Bond valuation and Interest Rate Risk, Financial Market Microstructure, EMH and Trading Strategies, Portfolio Performance Evaluation, Alternative Investments and Hedge Funds
- Module 6: Financial Derivatives - Forwards and futures, Options, Option Pricing Models,
- Stock Index Derivatives, Real Option Valuation,
- Module 7: Financial Risk Management - Introduction to Financial Risk Measurement and
- Management, Market Risk Analysis, Credit Risk Analysis, Managing International Risks
- Operational Risk, Economic Capital & RAROC
Module 8: Descriptive Analytics on Financial Data with Tableau/PowerBI
- Time-Series Data and Components
- Introduction to Forecasting Techniques (moving average, types of exponential smoothing)
- Performance measures and Holt-Winter Model
- Advanced Forecasting (Concept of Auto-Regression and Auto-Regressive Integrated Moving Average (ARIMA))
- Introduction to Python
- Implementation of Forecasting models using Python
- Nature of Data in Finance and Sources of Financial Data
- Solving Credit Risk Analysis using Machine Learning Techniques
- Exploratory Data Analysis in Finance
- Financial Modelling and Ratio Analysis
Introduction to Machine Learning
- AI/ML in Financial Services
- Using ML to forecast Stock Prices
- Digital Disruption in Financial Services
- Crypto Assets and Tokens
Instructors
Articles
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6 Jul'23, 07:27 AM
21 Jun'23, 12:18 PM
13 Jun'23, 09:54 AM
4 Apr'23, 11:39 AM
27 Mar'23, 07:53 AM
22 Mar'23, 12:57 PM
22 Mar'23, 11:00 AM
1 Sep'23, 12:44 PM
1 Sep'23, 12:27 PM
1 Sep'23, 12:02 PM
1 Sep'23, 11:26 AM
1 Sep'23, 09:57 AM
1 Sep'23, 08:48 AM
1 Sep'23, 07:11 AM
31 Aug'23, 02:07 PM
31 Aug'23, 12:10 PM
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