pybaw
Barone-Adesi–Whaley (1987) American option pricing and implied volatility as a Cython
extension: nogil scalar loops with scipy's Cython brentq doing the root solves.
Conventions
sigmais the Black total vol (total standard deviation,sigma_annual * sqrt(T)).- The pricer works in
(D, F, S, sigma)terms —rT = -ln(D),bT = ln(F/S)— so no explicitTappears (T=1 convention). - Dividends never appear explicitly: the cost of carry is implied via
carry = F/S. baw_implied_voltakes the raw premium (not undiscounted); its intrinsic is the Americanmax(S-K, 0)/max(K-S, 0). Sentinels:0.0at/below intrinsic,NaNon failure.
Install
pip install pybaw
Prebuilt wheels cover CPython 3.11+ on Linux (x86_64, aarch64), Windows (x86_64),
and macOS (arm64, x86_64). On anything else pip falls back to the sdist, which
needs a C compiler — the compiled extension is required, there is no pure-Python
fallback. Note scipy is needed at build time too, not just runtime: the
extension cimports scipy.optimize.cython_optimize.
To work on the package itself, either install from a checkout:
pip install .
or build in place and put the repo root on PYTHONPATH:
python setup.py build_ext --inplace
API
| Function | Purpose |
|---|---|
baw_price(S, K, D, F, sigma, flag) |
American price; flag 'c'/'p' |
baw_implied_vol(price, S, K, D, F, flag) |
invert a raw premium to total vol |
vectorized_baw_implied_vol(prices, S[], K[], D[], F[], flags[]) |
batch inversion |
find_forward_baw(calls, puts, strikes, spot, discount) |
forward where call IV ≈ put IV near ATM |
bsm_price(K, D, F, sigma, flag) |
pure European reference (used by tests/bounds) |
find_forward_baw exists because European put-call parity is biased for American
options by the early-exercise premium; solving for the forward that equates call and
put implied vols near the money removes that bias.
Tests
pip install -e .[test]
pytest
License
MIT — see LICENSE.
Release files for pybaw 1.0.0
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