Faculty, B.K. School of Professional & Management Studies, Gujarat University
Doctorate in Equity Markets · 22+ Years in Industry & Academia

Dr. Jay Desai Pioneering Quantitative Finance, AI & Academic Excellence

Assistant Professor at B.K. School of Professional & Management Studies, Gujarat University. Former Head of Equity Research at a premier Indian brokerage. Merging rigorous financial econometrics, neural algorithmic trading, and executive leadership.

22+
Years Industry & Academia
6+
Books Authored
50+
Research Papers
40+
Executive MDPs

Dr. Jay Desai

B.K. School of Professional & Management Studies

Gujarat University • Ahmedabad, Gujarat, India

Specialization: Equity & Quant Finance
Prior Industry: Head of Equity Research
Governance: IQAC Member, GU
Journal Roles: Editorial Board & Referee
Official Academic Portal
www.drjaydesai.in
Biographical Background

Bridging Market Realities with Academic Rigor

Dr. Jay Desai brings over 22 years of deep dual experience spanning both institutional financial markets and premier postgraduate university education.

Holding an MBA and a Ph.D. in Equity Markets, he serves as an Assistant Professor at the prestigious B.K. School of Professional and Management Studies, functioning under the aegis of B.K. School of Business Management, Gujarat University.

Prior to transitioning into full-time academia, Dr. Desai steered market research as the Head of Equity Research at a prominent Indian equity and commodity brokerage house. This rigorous foundation on trading desks and research desks empowers him to bridge advanced academic theory with practical execution in quantitative finance, market microstructure, and valuation.

He is an active contributor to university governance, having served on the Internal Quality Assurance Cell (IQAC) at Gujarat University, and mentors Ph.D. scholars, MBA graduates, and corporate executives across India.

Quantitative Systems

Machine Learning, Neural Networks & Pine Script Algorithmic Frameworks.

Corporate Strategy

M&A, Restructuring, Capital Structure Optimization & Valuation.

Prolific Author & Scholar

Authored more than 6 reference books and 50+ peer-reviewed papers in national and international journals. Serves on editorial review boards and as referee for leading finance journals.

Executive Training (40+ EDPs)

Conducted over 40 Executive Development Programs for financial institutions, brokerages, and corporate executives on Risk Management, Security Analysis, and Advanced Trading Mechanics.

Doctoral & PG Mentorship

Guiding Ph.D. scholars and postgraduate researchers in empirical finance, stock market anomalies, monetary policy impacts, and financial technology innovation.

Domains of Specialization

Core Research & Teaching Domains

Leveraging statistical mechanics, econometric rigor, and real-world trading architecture.

Quantitative Trading & ML

Algorithmic strategy formulation, Pine Script indicators, neural network probability modeling, cumulative volume delta (CVD), order flow, and automated execution frameworks.

  • Neural Network (NN) Classifier Architectures
  • Order Flow & Footprint Delta Analytics

Security Analysis & Portfolio (SAPM)

Fundamental valuation, discounted cash flows (DCF), active alpha generation, asset allocation, Markowitz modern portfolio theory, and downside risk management.

  • Multi-factor Risk & Return Optimization
  • Equity Valuation & Industry Research Models

Mergers & Acquisitions (M&A)

Strategic deal structuring, post-merger integration dynamics, synergy valuation, cross-border acquisitions, regulatory compliance, and hostile takeover defense.

  • Author of dedicated text "Mergers and Acquisitions"
  • Corporate Restructuring & Demerger Blueprints

Risk Management & Derivatives

Financial risk modeling, Value at Risk (VaR), Greeks hedging strategies, option volatility surfaces, interest rate risk, and credit risk quantification.

  • Options Surface & Volatility Arbitrage
  • Stress Testing & Scenario Analysis

AI & Deep Learning in Finance

Applying modern machine learning paradigms, feature engineering on market microstructure, sentiment parsing, and predictive signal generation for modern FinTech.

  • Predictive Alpha Signal Engineering
  • High-Frequency & Intraday Statistical Models

Stock Market Anomalies & Macro

Empirical examination of calendar effects (Day-of-the-Week, Month-End anomalies), monetary policy transmission, liquidity shocks, and behavioral finance drivers.

  • Published empirical research on market anomalies
  • RBI Monetary Policy & Market Reaction Studies
Authored Works

Featured Books & Treatises

Author of over 6 authoritative texts in corporate finance, financial markets, and restructuring.

Academic Textbook & Reference

Mergers and Acquisitions

Comprehensive coverage of corporate takeovers, valuation methods, legal and regulatory structures under Indian corporate law, synergy estimation, and post-merger integration frameworks.

Year: 2013 Author
Corporate Finance Treatise

Corporate Restructuring

In-depth analysis of balance sheet reorganization, demergers, spin-offs, leveraged buyouts (LBOs), distress resolution, and maximizing shareholder value through financial restructuring.

Year: 2012 Author
Doctoral & Applied Research

Equity Markets & Security Analysis

Based on extensive empirical doctoral research into Indian and international capital market behaviors, volatility modeling, investor behavior, and quantitative trading signals.

Ph.D. Monograph Author
Scholarly Contributions

Selected Research Publications

Over 50 research publications in peer-reviewed national & international management journals.

Stock Market Anomalies Peer-Reviewed Journal

Empirical Analysis of Calendar Anomalies: Day-of-the-Week and Weekend Effects in Indian Equities

Investigating statistical return dispersions, liquidity changes, and trading volumes across trading sessions in the National Stock Exchange (NSE).

Author: Dr. Jay Desai • Gujarat University Affiliation
Monetary Policy & Capital Markets Research Publication

Monetary Policy Announcements and Stock Market Volatility: An Event Study Framework

Measuring immediate and delayed asset price reactions to Reserve Bank of India (RBI) repo rate revisions and liquidity stance statements.

Author: Dr. Jay Desai • Financial Econometrics
Quant & Machine Learning Applied Modeling

Non-Linear Classifier Neural Models for Intraday Volatility and Directional Price State Prediction

Synthesizing machine learning classification algorithms, order flow delta indicators, and ATR filters for systematic risk-adjusted returns.

Author: Dr. Jay Desai • Quantitative Trading & Neural Architecture
Corporate Restructuring & M&A Strategic Finance

Long-Term Wealth Creation and Operating Performance in Post-Merger Corporate Entities in India

An empirical investigation into post-acquisition synergy realization, EVA trends, and shareholder return trajectories among NSE 500 companies.

Author: Dr. Jay Desai • Corporate Finance Research
Looking for Complete Citation Index & Full Reprints?

Contact Dr. Desai's academic office or request reprints for academic research.

Request Paper Reprints
University & Academic Life

Teaching Excellence & Mentorship at Gujarat University

At the B.K. School of Professional and Management Studies, Dr. Desai shapes future business leaders, portfolio managers, and scholars through rigorous coursework, empirical projects, and industry-aligned case studies.

Core Courses Delivered

Security Analysis & Portfolio Management (SAPM), Financial Risk Management, Mergers & Acquisitions, Corporate Restructuring, Financial Econometrics.

Doctoral (Ph.D.) & MBA Project Guidance

Supervising empirical theses in quantitative trading anomalies, capital structure efficiency, and fintech adoption.

Internal Quality Assurance Cell (IQAC)

Active contributions to academic audit, curriculum accreditation, and institutional benchmarking at Gujarat University.

Academic Affiliation

Department Details & Campus Location

Gujarat University
Institution
B.K. School of Professional & Management Studies
(B.K. School of Business Management)
University
Gujarat University
Navrangpura, Ahmedabad – 380009
Designation
Assistant Professor
Finance & Quantitative Management
Student Interaction
Faculty Office Hours
By appointment on university working days
Official University Portal Link: gujaratuniversity.ac.in
Industry Engagement

Executive Programs & Corporate Consulting

40+ Executive Development Programs (EDPs) designed for capital market intermediaries, asset managers, and corporate boards.

Executive Development Programs (EDPs)

Tailored masterclasses for senior financial professionals, equity dealers, and research analysts on advanced portfolio dynamics, derivative hedging, and algorithmic strategy lifecycle.

  • Conducted for 40+ Corporate Cohorts
  • Customizable 1-Day to 5-Day Modules

Corporate Restructuring & M&A Advisory

Consultancy for management teams and boards evaluating business reorganization, demerger benefits, swap ratio calculations, synergy modeling, and capital structure optimization.

  • Independent Valuation & Due Diligence
  • Regulatory & Shareholder Value Impact

Quantitative Strategy Advisory

Review and statistical testing of systematic trading algorithms, risk filters, backtesting methodology, slippage optimization, and machine learning classifier integration.

  • Trading Desk Workflow Optimization
  • Pine Script & Quant Model Audits

Invite Dr. Desai as a Keynote Speaker or Corporate Trainer

Available for guest lectures, national finance summits, broker summits, and specialized corporate training workshops across India.

Schedule a Consultation
Official Inquiries

Connect & Collaborate

For academic research, research paper reprints, doctoral guidance, corporate MDPs, or executive advisory, please send a message or contact the academic office.

Academic Office

B.K. School of Professional and Management Studies,
Gujarat University Campus, Navrangpura,
Ahmedabad, Gujarat – 380009, India

Official Domain

www.drjaydesai.in

Direct Inquiries

Use the contact form to reach Dr. Desai directly. Inquiries are reviewed during business hours.

Send an Inquiry

Select your inquiry type to direct your message to the appropriate channel.