OptionMixin¶
- class pfhedge.instruments.OptionMixin[source]¶
Mixin class for options.
- log_moneyness(time_step=None)[source]¶
Returns log-moneyness of self.
Log-moneyness reads \(\log(S / K)\) where \(S\) is the spot price of the underlying instrument and \(K\) is the strike of the derivative.
- Returns
torch.Tensor
- max_log_moneyness(time_step=None)[source]¶
Returns
self.max_moneyness(time_step).log()
.- Returns
torch.Tensor
- max_moneyness(time_step=None, log=False)[source]¶
Returns the cumulative maximum of the moneyness.
- Parameters
- Shape:
Output: \((N, T)\) where \(N\) is the number of paths and \(T\) is the number of time steps. If
time_step
is given, the shape is \((N, 1)\).
- Returns
torch.Tensor
- moneyness(time_step=None, log=False)[source]¶
Returns the moneyness of self.
Moneyness reads \(S / K\) where \(S\) is the spot price of the underlying instrument and \(K\) is the strike of the derivative.
- Parameters
- Shape:
Output: \((N, T)\) where \(N\) is the number of paths and \(T\) is the number of time steps. If
time_step
is given, the shape is \((N, 1)\).
- Returns
torch.Tensor
- time_to_maturity(time_step=None)[source]¶
Returns the time to maturity of self.
- Parameters
time_step (int, optional) – The time step to calculate the time to maturity. If
None
(default), the time to maturity is calculated at all time steps.
- Shape:
Output: \((N, T)\) where \(N\) is the number of paths and \(T\) is the number of time steps. If
time_step
is given, the shape is \((N, 1)\).
- Returns
torch.Tensor