Programme on Financial Analytics for Decision-Making – Programme Overview
In today's dynamic business landscape, the strategic significance of financial analytics in guiding decision-making has never been more crucial. Navigating through intricacies in a rapidly changing environment demands proficiency in harnessing and interpreting financial data—a competence now deemed indispensable.
This exclusive programme "Financial Analytics for Decision-Making" aims to endow participants with a profound understanding of strategically applying analytics in the financial domain.
OBJECTIVES
- Develop expertise in utilizing regression models to predict and interpret financial outcomes.
- Learn ARCH and GARCH models to quantify and manage financial volatility and associated risks.
- Acquire skills in ARIMA and ARMA models for accurate time series analysis and forecasting.
- Grasp co-integration concepts to understand and leverage long-term relationships in financial variables.
- Assess causal relationships using Granger causality tests for informed decision-making.
- Apply regression, time series modeling, and other statistical methods in a capstone project.
- Develop skills to interpret and effectively communicate statistical insights to stakeholders.
CONTENT
Day 1: Overview of Financial Analytics
Introduction to financial analytics and its critical role in informed decision-making.
Day 2: Regression Analysis in Financial Analytics
Hands-on exercises to predict outcomes and interpret regression results.
Day 3: Volatility Modeling (ARCH & GARCH)
Case studies on risk analysis and volatility forecasting.
Day 4: Financial Risk Management Exercises
Group exercises to assess and mitigate financial risks and evaluate performance.
Day 5: Time Series Analysis, Co-integration & Capstone Project
ARIMA & ARMA models, Granger causality, and practical application through Capstone Project.
METHODOLOGY
Interactive pedagogy blending theoretical insights with practical applications, including classroom sessions, case studies, group discussions, and immersive exercises.
FACULTY
Programme led by Dr. Mohd Mujahed Ali, Ph.D., M.Phil, MBA, M.Com, with over 19 years of experience. Recognized as a Securities Market Trainer by SEBI, Dr. Ali has delivered over 250 workshops and training programmes. Supported by renowned practitioners and industry experts.
PARTICIPANT PROFILE
Professionals including Financial Analysts, Risk Management Professionals, Finance & Accounting staff, Data Analysts, Business Consultants, and executives seeking enhanced analytical skills. Organisational sponsorship is essential.
VENUE
Fully residential, air-conditioned single-occupancy rooms. Wi-Fi enabled campus. Family accommodation not provided.
DURATION
5 days (February 02 - 06, 2026). Participants are expected to arrive a day before commencement and may leave after conclusion.
PROGRAMME FEE
Residential Fee: Rs. 69,500/- (US $1086 for foreigners) plus GST 18%. Covers tuition, board, lodging, courseware, and other facilities.
Non-Residential Fee: Rs. 59,500/- plus GST 18%. Covers tuition, courseware, working lunch, and other facilities.
10% discount for three or more participants from the same organisation if payment is credited before January 30, 2026.
MEDICAL INSURANCE
Participants must carry proof of medical insurance. Sponsoring agency must endorse coverage in case of hospitalization.
LAST DATE FOR NOMINATION
January 23, 2026. Contact the Programmes Officer for details.
LAST DATE FOR WITHDRAWAL
January 27, 2026. Withdrawals after this date will entail forfeiture of fee paid, if any.
ASCI ALUMNI ASSOCIATION
Participants automatically become members of the ASCI Alumni Association.
CERTIFICATE OF PARTICIPATION
Certificate issued on conclusion of the programme.
