ChatGPT for Financial Professionals

Learn the capital asset pricing model (CAPM) and how the expected return of a security equals the risk-free rate plus beta times the market risk premium, with practical Apple examples.

the dividend discount model values a stock by discounting future dividends to present value. use price equals d1 over r minus g, where d1 = d0(1+g), to determine value.

Explore GPT-4's Advanced Data Analysis tool by uploading an Excel file, viewing the first five rows, and generating plots of close price and volume over time with subplots.

Demonstrates plotting stock data by showing close and open prices on the same plot and in two subplots, using Python in a Jupyter notebook with Matplotlib and Plotly.

Upload the JPMorgan Excel sheet, plot the closing price versus date with Python and matplotlib, compute daily returns, add a new column, and plot histograms and candlestick charts.

Watch GPT-4 perform financial statement analysis by uploading income data, reading sheets, and calculating earnings per share and operating profit margin.

Perform multi-year income statement analysis from 2018 to 2022 with GPT-4, highlighting revenues, cost of goods sold, gross profit, and net income, plus growth, margin insights, and visualizations.

Train a machine learning regression model using ChatGPT to forecast next-quarter earnings per share from balance sheets, income statements, and cash flow data, with one-hot encoding and train-test split.

Learn data split into training and testing with an 80/20 split and holdout evaluation, then master one hot encoding for categorical variables with Emirates, Air China, and American Airlines.

Learn the fundamentals of machine learning regression: simple linear regression predicts y from x with slope m and intercept b; extend to multiple regression and fit line with least squares.

Use the advanced data analysis tool in GPT-4 to upload an Excel financial dataset, perform exploratory data analysis and cleaning, and visualize the percentage change in quarterly EPS.