exercise-assignment-dividend-risk

To monitor short options assignment risk around ex-dividend dates, you can run the diagnostics script with your input.csv file to score assignment probabilities and implement dividend event controls for your options book.

Early exercise analysis estimates the financial incentives for exercising American-style options before expiration. You need it when trading options close to expiry with upcoming ex-dividend dates to evaluate inventory and financing risks.

You estimate the probability of being assigned on short options by running the assignment probability monitoring diagnostics via Python scripts, which score your production positions based on early-exercise incentives and dividend arbitrage exposure.

Yes, you can use Python and pandas to automate dividend arbitrage exposure checks by running the provided diagnostic scripts against your options positions data to assess early-exercise incentives and assignment-sensitive inventory risks.

The primary limitation is that the diagnostic scripts require structured input data and depend on pandas, meaning you must properly format your options inventory data into a compatible input.csv file before running the early-exercise and assignment risk diagnostics.

Yes, you need reference documents because they provide the domain checklists and delivery structures necessary to implement effective safeguards around ex-dividend dates and properly manage assignment-sensitive positions.