Majeed Simaan, Ph.D., FRM

Majeed Simaan, Ph.D., FRM

Stevens Institute of Technology

H-index: 8

North America-United States

About Majeed Simaan, Ph.D., FRM

Majeed Simaan, Ph.D., FRM, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at Stevens Institute of Technology, specializes in the field of Risk Management, Portfolio Theory, Statistical Learning, Financial Institutions, Empirical Asset.

His recent articles reflect a diverse array of research interests and contributions to the field:

Measuring Bank Complexity Using Xai

Use and Misuse of Interpretability in Machine Learning

The risk of expected utility under parameter uncertainty

Buy the dip?

The Value of Data: Analyst Vs. Machine

Balancing Returns and Responsibility: Evidence from Shrinkage-based Portfolios

Improved Estimation of the Covariance Matrix using Reinforcement Learning

Do we need higher-order comoments to enhance mean-variance portfolios? Evidence from a simplified jump process

Majeed Simaan, Ph.D., FRM Information

University

Position

___

Citations(all)

124

Citations(since 2020)

115

Cited By

52

hIndex(all)

8

hIndex(since 2020)

7

i10Index(all)

5

i10Index(since 2020)

4

Email

University Profile Page

Stevens Institute of Technology

Google Scholar

View Google Scholar Profile

Majeed Simaan, Ph.D., FRM Skills & Research Interests

Risk Management

Portfolio Theory

Statistical Learning

Financial Institutions

Empirical Asset

Top articles of Majeed Simaan, Ph.D., FRM

Title

Journal

Author(s)

Publication Date

Measuring Bank Complexity Using Xai

Available at SSRN

Shengyu Huang

Majeed Simaan

Yi Tang

2024/4/5

Use and Misuse of Interpretability in Machine Learning

Forthcoming in Journal of Financial Transformation

Brian J Clark

Akhtar R Siddique

Majeed Simaan

2024/3/26

The risk of expected utility under parameter uncertainty

Management Science, forthcoming

Nathan Lassance

Alberto Martin-Utrera

Majeed Simaan

2023

Buy the dip?

European Financial Management

Stefano Bonini

Thomas Shohfi

Majeed Simaan

2023

The Value of Data: Analyst Vs. Machine

Stefano Bonini

Thomas Shohfi

Majeed Simaan

Guofu Zhou

2023/12/11

Balancing Returns and Responsibility: Evidence from Shrinkage-based Portfolios

Available at SSRN 4597152

Christos Makridis

Majeed Simaan

2023/10/9

Improved Estimation of the Covariance Matrix using Reinforcement Learning

Available at SSRN 4081502

Cheng Lu

Majeed Simaan

2022/10/11

Do we need higher-order comoments to enhance mean-variance portfolios? Evidence from a simplified jump process

International Review of Financial Analysis

Khaldoun Khashanah

Majeed Simaan

Yusif Simaan

2022/5/1

Estimation risk and the implicit value of index-tracking

Quantitative Finance

Brian Clark

Chanaka Edirisinghe

Majeed Simaan

2022/2/1

Reproducible Research in Portfolio Selection

Majeed Simaan

2022

The opportunity cost of hedging under incomplete information: Evidence from ETF/Ns

Journal of Futures Markets

Zhenyu Cui

Majeed Simaan

2021/11

Pricing Model Complexity: The Case for Volatility-Managed Portfolios

Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices (2023). Edited by A. Capponi and CA Lehalle. Cambridge University Press

Brian J Clark

Akhtar R Siddique

Majeed Simaan

2021/7/25

Partial index tracking enhanced mean–variance portfolio

International Journal of Finance & Economics

Zhaokun Cai

Zhenyu Cui

Majeed Simaan

2021/4/30

Working with crsp/compustat in r: Reproducible empirical asset pricing

Simaan, Majeed.(2020). Working with CRSP/COMPUSTAT in R: Reproducible Empirical Asset Pricing

Majeed Simaan

2021/3/31

In search of return predictability: Application of machine learning algorithms in tactical allocation

Machine Learning for Asset Management: New Developments and Financial Applications

Kris Boudt

Muzafer Cela

Majeed Simaan

2020/6/30

Filtering for risk assessment of interbank network

European Journal of Operational Research

Majeed Simaan

Aparna Gupta

Koushik Kar

2020/1/1

A machine learning efficient frontier

Operations Research Letters

Brian Clark

Zachary Feinstein

Majeed Simaan

2020/9/1

See List of Professors in Majeed Simaan, Ph.D., FRM University(Stevens Institute of Technology)

Co-Authors

H-index: 81
Mohammed J. Zaki

Mohammed J. Zaki

Rensselaer Polytechnic Institute

H-index: 32
Kris Boudt

Kris Boudt

Universiteit Gent

H-index: 22
Christos Andreas Makridis

Christos Andreas Makridis

Massachusetts Institute of Technology

H-index: 19
Zhenyu Cui

Zhenyu Cui

Stevens Institute of Technology

H-index: 18
Aparna Gupta

Aparna Gupta

Rensselaer Polytechnic Institute

H-index: 17
Nalin Chanaka Edirisinghe

Nalin Chanaka Edirisinghe

Rensselaer Polytechnic Institute

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