Financial Analysis - Build a ChatGPT Pairs Trading Bot - Correcting How We Measure Strategy Performance

The video tutorial discusses errors in calculating portfolio returns using ChatGPT. It highlights the incorrect use of percentage returns and suggests using gross or log returns for accurate cumulative calculations. ChatGPT's response is analyzed, pointing out its partial correctness. The tutorial provides code examples for computing log returns and suggests more numerically stable alternatives. It concludes with a summary of corrections and emphasizes the importance of using the right methods for return calculations.

What was the initial mistake in computing portfolio returns?

• Ignoring the cumulative sum

• Incorrectly summing percentage returns

• Using log returns instead of percentage returns

• Using gross returns for cumulative calculations

What is one correct method to compute cumulative returns?

• Using average returns

• Using percentage returns

• Using gross returns

• Using simple returns

Why are logarithmic returns preferred over simple returns?

• They are easier to calculate

• They are more complex

• They are multiplicative

• They are additive

What is a benefit of using log returns in calculations?

• They are faster to compute

• They simplify division operations

• They are more numerically stable

• They require less data

What was the syntax error in the code related to log returns?

• Using a 2D array instead of a 1D array

• Incorrectly summing across a non-existent axis

• Using the wrong mathematical function

• Misnaming variables

What is the correct way to compute log returns for better numerical stability?

• Using multiplication of logs

• Using addition of logs

• Using subtraction of logs

• Using division directly

What does the cumulative sum of log returns represent?

• The average return

• The total percentage return

• The cumulative return

• The initial investment