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FA 800 Projects FE 800 Projects 2022 Fall Research

Robo-risk and Copula CoVaR of SPY

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2020 Spring FE 800 Projects Research

High Frequency Default Forecasting Model

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2020 Spring FA 800 Projects Research

Effective Testing for Investment Strategies and Portfolios in Quantitative Wealth and Investment Management

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FE 800 Projects Research 2021 Spring

Combining (deep) Reinforcement Learning and Goals Based Investing

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2020 Spring FE 800 Projects Research

Applications of Machine Learning in ESG-Based Investing

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Former Lab Staff

Pooja Mule

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FE 800 Projects FA 800 Projects 2022 Fall

Analyzing the Relationship Between ESG Scores and their Accompanying Data Variables

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FE 800 Projects FA 800 Projects 2020 Spring

The impact of macroeconomic indicators on the stock market using statistical and deep learning methods

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Stevens Institute of Technology: Hanlon Financial Systems Lab Featured on CNBC Power Lunch

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2021 Spring FE 800 Projects FA 800 Projects

Calibrating the SABR model with an Artificial Neural Network

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FE 800 Projects FA 800 Projects 2020 Fall

Implied Volatility and Corporate Earnings

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FE 800 Projects FA 800 Projects 2022 Fall

Option Smile Volatility and Implied Probabilities: Implications of Concavity in IV Curves

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2020 Spring FE 800 Projects FA 800 Projects

Computing High Dimensional Systemic Risk Measures with Machine Learning

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FE 800 Projects FA 800 Projects 2020 Spring

Using market regimes, change-points and anomaly detection in QWIM

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2020 Spring FE 800 Projects FA 800 Projects

Machine Learning Applications in Empirical Asset Pricing

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2022 Fall FA 800 Projects

A MACHINE LEARNING PREDICTION OF THE PATH OF ECONOMIC RECESSIONS

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FE 800 Projects FA 800 Projects 2020 Fall

Computing High Dimensional Systemic Risk Measures with Machine Learning

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Optimal Investment Problems in Financial Engineering

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