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car-brand-analysis-natural-language-processing

In this assignment, I am an analytics consultant by JD power and Associates, who wants to perform a competitive analysis of the entry level luxury car market in the USA. My job is to give advice/insights to these individuals based on the analysis of social media conversations.

find-beta-using-scl

This ipynb file uses the theory behind CAPM to use a time-series regression to find a firm's beta using the SCL and a market proxy ETF or fund. The user will be able to choose a stock, market proxy, time frame, and frequency to analyze.

ridge-vs-lasso-vs-elasticnet-regression

Compare the performance metrics for the Ridge, Lasso, and ElasticNet Regreession machine learning models. Here you will find the pros and cons of each model and possibly help you determine when to use each model.

simple-short-term-financing-problem

What is the optimal way to finance a firm's liabilities given a revolver, bank loan, and savings rate?

size-effect-on-small-cap-value-mutual-funds

In this project, the effect of fund size will be analyzed on Small-Cap Value Mutual Funds. There has been extensive academic research on this topic. The main contributors to this difference is capacity constraints, price influence during transactions, and allocation agility. See the code and executive summary for further analysis.

stochastic-gradient-descent-and-bias-variance-tradeoff

This project explores the important consideration of bias-variance tradeoffs when tuning your model. Additionally, it explores the difference between Gradient Descent and Stochastic Gradient Descent and the limitations of both models.. Please see code for further analysis.

tracking-portfolio-optimization

In this project, a firm has 8 years of liabilities due in the future. To form our tracking portfolio, we have 10 simple bonds and 3 bond forwards available. In another scenario, we will use 234 currently tradeable treasuries from WSJ.

using-machine-learning-to-outperform-the-market