construct_implicit_grid_structure {ragtop} | R Documentation |
Structure of implicit numerical integration grid
Description
Infer a reasonable structure for our implicit grid solver based on the voltime, structure constant, and requested grid width in standard deviations.
Usage
construct_implicit_grid_structure(
tenors,
M,
S0,
K,
c,
sigma,
structure_constant,
std_devs_width,
min_z_width = 0
)
Arguments
tenors |
Tenors of instruments to be treated on this grid |
M |
Minimum number of timesteps on this grid |
S0 |
An initial stock price, for setting grid scale |
K |
An instrument reference stock price, for setting grid scale |
c |
A continuous stock drift rate |
sigma |
Volatility of diffusion process (without jumps to default) |
structure_constant |
The maximum ratio between time intervals |
std_devs_width |
The number of standard deviations, in |
min_z_width |
Minimum grid width, in log space |
Details
Generally speaking pricing will be good to about 10bp of relative accuracy when the ratio of timesteps to voltime (in annualized units) is over 200.
Cases with pathologically low volatility may go awry (in the sense of yielding ultimately inaccurate PDE solutions), as the structure_constant will force a step in z space much bigger than the width in standard deviations.
Value
A list with elements
T
The maximum time for this grid
dt
Largest permissible timestep size
dz
Distance between space grid points
z0
Center of space grid
z_width
Width in
z
spacehalf_N
A misnomer, actually
(N-1)/2
N
The number of space points
z
Locations of space points
See Also
Other Implicit Grid Solver:
find_present_value()
,
form_present_value_grid()
,
infer_conforming_time_grid()
,
integrate_pde()
,
iterate_grid_from_timestep()
,
take_implicit_timestep()
,
timestep_instruments()