Title of article :
Catastrophe Swap Valuation Based on Stochas- tic Damage and its Numerical Solution
Author/Authors :
Neisy, Abdolsadeh Department of Mathematics - Faculty of Statistics - Mathematics & Computer - Al- lameh Tabataba’i University, Tehran, Iran , Mahmoudpour, Nasrollah Department of Finance and Banking - Faculty of Management & Accounting - Al- lameh Tabataba’i University, Tehran, Iran , Peymany, Moslem Department of Finance and Banking - Faculty of Management & Accounting - Al- lameh Tabataba’i University, Tehran, Iran , Amiri, Meisam Department of Finance and Banking - Faculty of Management & Accounting - Al- lameh Tabataba’i University, Tehran, Iran
Abstract :
Pricing catastrophe swap as an instrument for insurance companies risk
management, has received trivial attention in the previous studies, but in
most of them, damage severities caused by the disaster has been consid-
ered to be fixed. In this study, through considering jumps for modeling
the occurrence of disasters as in Unger [32] and completing it through
considering damages caused by natural disasters as stochastic, an integro-
differential model was extracted to value catastrophe swap contracts. In
determining the swap price changes, the Ito command was followed and
to achieve the catastrophic swap model, the generalization of the Black
and Scholes modeling method was used [3]. With regard to the initial
and boundary conditions, extracted model does not have an analytical
solution; thus, its answer was approximated using the finite difference
numerical method and the effect of considering the damage as stochastic
on swap value was analyzed. In addition, the model and the extracted
numerical solution were separately implemented on the data about the earthquake damage in the United States and Iran. The results showed
that prices will experience a regular upward trend until damage growth,
damage severities, and occurrence probability of a catastrophe are not
so high that the buyer of the swap is forced to pay compensation to the
swaps seller. Of course, the prices will fall sharply as soon as they reach
and cross the threshold.
Keywords :
Catastrophe Swap , Stochastic Damage , Numerical Solution , Earthquake Damage
Journal title :
Journal of Mathematics and Modeling in Finance