Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » Decision Science Letters » Estimating flood catastrophe bond prices using approximation method of the loss aggregate distribution: Evidence from Indonesia

Journals

  • IJIEC (747)
  • MSL (2643)
  • DSL (668)
  • CCL (508)
  • USCM (1092)
  • ESM (413)
  • AC (562)
  • JPM (271)
  • IJDS (912)
  • JFS (96)
  • HE (32)
  • SCI (26)

DSL Volumes

    • Volume 1 (10)
      • Issue 1 (5)
      • Issue 2 (5)
    • Volume 2 (30)
      • Issue 1 (5)
      • Issue 2 (6)
      • Issue 3 (9)
      • Issue 4 (10)
    • Volume 3 (53)
      • Issue 1 (15)
      • Issue 2 (10)
      • Issue 3 (19)
      • Issue 4 (9)
    • Volume 4 (48)
      • Issue 1 (10)
      • Issue 2 (12)
      • Issue 3 (14)
      • Issue 4 (12)
    • Volume 5 (39)
      • Issue 1 (12)
      • Issue 2 (10)
      • Issue 3 (8)
      • Issue 4 (9)
    • Volume 6 (30)
      • Issue 1 (8)
      • Issue 2 (6)
      • Issue 3 (9)
      • Issue 4 (7)
    • Volume 7 (41)
      • Issue 1 (8)
      • Issue 2 (8)
      • Issue 3 (8)
      • Issue 4 (17)
    • Volume 8 (38)
      • Issue 1 (8)
      • Issue 2 (6)
      • Issue 3 (14)
      • Issue 4 (10)
    • Volume 9 (39)
      • Issue 1 (8)
      • Issue 2 (9)
      • Issue 3 (14)
      • Issue 4 (8)
    • Volume 10 (43)
      • Issue 1 (7)
      • Issue 2 (8)
      • Issue 3 (20)
      • Issue 4 (8)
    • Volume 11 (49)
      • Issue 1 (9)
      • Issue 2 (9)
      • Issue 3 (14)
      • Issue 4 (17)
    • Volume 12 (64)
      • Issue 1 (12)
      • Issue 2 (24)
      • Issue 3 (13)
      • Issue 4 (15)
    • Volume 13 (78)
      • Issue 1 (21)
      • Issue 2 (18)
      • Issue 3 (19)
      • Issue 4 (20)
    • Volume 14 (87)
      • Issue 1 (21)
      • Issue 2 (23)
      • Issue 3 (25)
      • Issue 4 (18)
    • Volume 15 (19)
      • Issue 1 (19)

Keywords

Supply chain management(166)
Jordan(161)
Vietnam(149)
Customer satisfaction(120)
Performance(113)
Supply chain(111)
Service quality(98)
Competitive advantage(95)
Tehran Stock Exchange(94)
SMEs(87)
optimization(86)
Trust(83)
TOPSIS(83)
Financial performance(83)
Sustainability(82)
Job satisfaction(80)
Factor analysis(78)
Social media(78)
Artificial intelligence(77)
Knowledge Management(77)


» Show all keywords

Authors

Naser Azad(82)
Mohammad Reza Iravani(64)
Zeplin Jiwa Husada Tarigan(63)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(39)
Jumadil Saputra(36)
Dmaithan Almajali(36)
Muhammad Turki Alshurideh(35)
Barween Al Kurdi(32)
Ahmad Makui(32)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Mohammad Khodaei Valahzaghard(30)
Sautma Ronni Basana(29)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)
Haitham M. Alzoubi(27)


» Show all authors

Countries

Iran(2184)
Indonesia(1290)
India(788)
Jordan(786)
Vietnam(504)
Saudi Arabia(453)
Malaysia(441)
United Arab Emirates(220)
China(206)
Thailand(153)
United States(111)
Turkey(106)
Ukraine(104)
Egypt(98)
Canada(92)
Peru(88)
Pakistan(85)
United Kingdom(80)
Morocco(79)
Nigeria(78)


» Show all countries

Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 12 Issue 2 pp. 179-190 , 2023

Estimating flood catastrophe bond prices using approximation method of the loss aggregate distribution: Evidence from Indonesia Pages 179-190 Right click to download the paper Download PDF

Authors: Riza Andrian Ibrahim, Sukono Sukono, Herlina Napitupulu, Rose Irnawaty Ibrahim, Muhamad Deni Johansyah, Jumadil Saputra

DOI: 10.5267/j.dsl.2023.3.001

Keywords: Catastrophe bond, Flood, estimation, Pricing, Indonesia, Approximation method, Aggregate loss distribution

Abstract: Losses experienced by the Indonesian government due to floods are predicted. It is because of the significance of population growth, closure of water catchment areas, and climate change in many regions in Indonesia. The government has tried to reduce the risk but faces insufficient funds. Therefore, new innovative funding sources are essential to overcome these limitations. One way to obtain it is through issuing Flood Catastrophe Bonds (FCB). Unfortunately, Indonesia has had no FCB price estimate until now. On the basis of this problem, this study aims to estimate the FCB price in Indonesia. The primary method used is the approximation method of the aggregate loss distribution. This method can compute the aggregate flood loss cumulative distribution function value faster. The FCB fair price estimation results are cheap because the risk of the instrument is significant. This significant risk is also proportional to the large return. Finally, further analysis shows that in Indonesia, the attachment point of the FCB has a relationship that is in line with the price, while the term of FCB does not. This research is expected to assist the Indonesian government in determining the fair price of FCB in Indonesia. This research can assist the investors in choosing FCB based on expected return, attachment point, and the term they want.


How to cite this paper
Ibrahim, R., Sukono, S., Napitupulu, H., Ibrahim, R., Johansyah, M & Saputra, J. (2023). Estimating flood catastrophe bond prices using approximation method of the loss aggregate distribution: Evidence from Indonesia.Decision Science Letters , 12(2), 179-190.

Refrences
Anderson, T.W., and Darling, D.A. (1952). Asymptotic theory of certain "goodness of fit" criteria based on stochastic processes. The Annals of Mathematical Statistics, 23(2), 193–212. http://dx.doi.org/10.1214/aoms/1177729437
Burnecki, K., & Giuricich, M.N. (2017). Stable weak approximation at work in index-linked catastrophe bond pricing. Risks, 5(4), 1–19. https://doi.org/10.3390/risks5040064
Carayannopoulos, P., & Perez, M.F. (2015). Diversification through catastrophe bonds: Lessons from the subprime financial crisis. The Geneva Papers, 40, 1-28. https://doi.org/10.1057/gpp.2014.14
Čepienė, E., Dailidytė, L., Stonevičius, E., & Dailidienė, I. (2022). Sea Level Rise Impact on Compound Coastal River Flood Risk in Klaipėda City (Baltic Coast, Lithuania). Water, 14(3), 414. https://doi.org/10.3390/w14030414
Chao, W., & Zou, H. (2018). Multiple-event catastrophe bond pricing based on CIR-Copula-POT model. Discrete Dynamics in Nature and Society, 2018(5068480), 1-9. https://doi.org/10.1155/2018/5068480
Chaubey, Y.P., Garrido, J., & Trudeau, S. (1998). On the computation of aggregate claims distributions: Some new approximations. Insurace: Mathematics and Economics, 23(3), 215-230. https://doi.org/10.1016/S0167-6687(98)00029-8
Cummins, J.D. (2008). CAT bonds and other risk-linked securities: State of the market and recent developments. Risk Management and Insurance Review, 11(1), 23–47. https://doi.org/10.1111/j.1540-6296.2008.00127.x
Cummins, J.D., & Weiss, M.A. (2009). Convergence of insurance and financial markets: Hybrid and securitised risk-transfer solutions. The Journal of Risk and Insurance, 76(3), 493–545. https://doi.org/10.1111/j.1539-6975.2009.01311.x
Dalimunthe, S.A. (2018). Rural Indonesian insight on mass media role in reducing climate change risk. Climate Change Management, 2, 61-67. https://doi.org/10.1007/978-3-319-70066-3_5
Dickson, D.C.M. (2005). Insurance Risk and Ruin. Cambridge: Cambridge University Press.
Gunardi, & Setiawan, E.P. (2015). Valuation of Indonesian catastrophic earthquake bonds with generalised extreme value (GEV) distribution and Cox-Ingersoll-Ross (CIR) interest rate model. In 2014 1st International Conference on Actuarial Science and Statistics (Cat No. 020024-1-020024-14) (Vol. 1692, pp 1-14). http://dx.doi.org/10.1063/1.4936452
Härdle, W.K., & Cabrera, B.L. (2010). Calibrating CAT bonds for Mexican earthquakes. The Journal of Risk and Insurance, 77(3), 625-650. https://doi.org/10.1111/j.1539-6975.2010.01355.x
Hengky, K., Putri, E.R.M., Imron, C., & Prastyo, D.D. (2021). In 2020 6th International Conference on Mathematics: Pure, Applied and Computation (Cat No. 012026) (Vol. 1821, pp. 1-11). https://doi.org/10.1088/1742-6596/1821/1/012026
Ibrahim, R.A., Sukono, & Napitupulu, H. (2022). Multiple-trigger catastrophe bond pricing model and its simulation using numerical methods. Mathematics, 10(9), 1363. https://doi.org/10.3390/math10091363
Jarrow, R.A. (2010). A simple robust model for CAT bond valuation. Finance Research Letters, 7(2), 72-70. https://doi.org/10.1016/j.frl.2010.02.005
Klugman, S.A., Panjer, H.H, & Willmot, G.E. (2008). Loss Models: From Data to Decisions, third ed. New York: Wiley.
Kurniawan, H., Putri, E. R., Imron, C., & Prastyo, D. D. (2021, March). Monte Carlo method to valuate CAT bonds of flood in Surabaya under jump diffusion process. In Journal of Physics: Conference Series (Vol. 1821, No. 1, p. 012026). IOP Publishing. https://doi.org/10.1088/1742-6596/1821/1/012026
Law, A.M., & Kelton, W.D. (2000). Simulation Modeling and Analysis, third ed. New York: McGraw Hill.
Loubergé, H., Kellezi, E., & Gilli, M. (1999). Using catastrophe-linked securities to diversify insurance risk: a financial analysis of CAT bonds. Journal of Insurance Issues, 22(2), 126–146. http://www.jstor.org/stable/41946177
Ma, Z.G., & Ma, C.Q. (2013). Pricing catastrophe risk bonds: A mixed approximation method. Insurance: Mathematics and Economics, 52(2), 243–254. https://doi.org/10.1016/j.insmatheco.2012.12.007
Nowak, P., & Romaniuk, M. (2013). Pricing and simulations of catastrophe bonds. Insurance: Mathematics and Economics, 52(1), 18-28. https://doi.org/10.1016/j.insmatheco.2012.10.006
Nowak, P., & Romaniuk, M. (2018). Valuing catastrophe bonds involving correlation and CIR interest rate model. Computational and Applied Mathematics, 37, 365-394. https://doi.org/10.1007/s40314-016-0348-2
Panjer, H.H., & Willmot, G.E., (1992). Insurance Risk Models. Schaumburg: Society of Actuaries.
Pauline, T. (2008). Flood in Jakarta: When the extreme reveals daily structural constrains and mismanagement. Disaster Prevention and Management, 17(3), 358-372. https://doi.org/10.1108/09653560810887284
Pollner, J. D. (2001). Managing catastrophic disaster risks using alternative risk financing and pooled insurance structures. Washington D.C.: World Bank Technical Paper.
Reijnen, R., Albers, W., & Kallenberg, W.C.M. (2005). Approximation of stop-loss reinsurance premiums. Insurance: Mathematics and Economics, 36(3), 237-250. https://doi.org/10.1016/j.insmatheco.2005.02.001
Ross, S. M. (1996). Stochastic Processes, second Edition. New Jersey: John Wiley and Sons, Inc.
Shao, J., Pantelous, A., & Papaioannou, A.D. (2015). Catastrophe risk bonds with applications to earthquakes. European Actuarial Journal, 5, 113-138. https://doi.org/10.1007/s13385-015-0104-9
Sholihah, Q., Kuncoro, W., Wahyuni, S., Suwandi, S.P., & Feditasari, E.L. (2020). The analysis of the causes of flood disasters and their impacts in the perspective of environmental law. In 2019 4th International Conference of Water Resources Development and Environmental Protection. (Cat No. 012056) (Vol. 437, pp. 1-7). https://doi.org/10.1088/1755-1315/437/1/012056
Siyamah, I., Putri, E.R.M., & Imron, C. (2021). Cat bond valuation using Monte Carlo and quasi-Monte Carlo method. In 2020 International Conference on Mathematics: Pure, Applied, and Computation. (Cat No. 012053) (Vol. 1821, pp. 1-10). https://doi.org/10.1088/1742-6596/1821/1/012053
Stephens, M.A. (1974). EDF statistics for goodness of fit and some comparisons. Journal of the American Statistical Association, 69(347), 730–737. https://doi.org/10.2307/2286009
Sukono, Juahir, H., Ibrahim, R.A., Saputra, M.P.A., Hidayat, Y., & Prihanto, I.G. (2022). Application of compound poisson process in pricing catastrophe bonds: A systematic literature review. Mathematics, 10(15), 2668. https://doi.org/10.3390/math10152668
Tabari, H. (2020). Climate change impact on flood and extreme precipitation increases with water availability. Scientific Reports, 10, 13768. https://doi.org/10.1038/s41598-020-70816-2
Tang, Q., & Yuan, Z. (2019). CAT bond pricing under a product probability measure with POT risk characterisation. ASTIN Bulletin, 49(2), 457–490. https://doi.org/10.1017/asb.2019.11
Tse, Y.K. (2009). Nonlife Actuarial Models: Theory, Models and Evaluation. Cambridge: Cambridge University Press.
Vaugirard, V.E. (2003). Pricing catastrophe bonds by arbitrage approach. The Quarterly Review of Economics and Finance, 43(1), 119-132. https://doi.org/10.1016/S1062-9769(02)00158-8
Watanabe, G., Motoyama, M., Nakajima, I., & Sasaki, K. (2018). Relationship between water-holding capacity and intramuscular fat content in Japanese commercial pork loin. Asian-Australasian Journal of Animal Sciences, 31(6), 914-918. https://doi.org/10.5713/ajas.17.0640
Wicaksono, A., & Herdiansyah, H. (2019). The impact analysis of flood disaster in DKI Jakarta: Prevention and control perspective. In International Conference Computer Science and Engineering. (Cat No. 012092) (Vol. 1339, pp. 1-6). https://doi.org/10.1088/1742-6596/1339/1/012092
Wiyanti, A., & Halimatussadiah, A. (2021). Are disasters a risk to regional fiscal balance? Evidence from Indonesia. International Journal of Disaster Risk Science, 12, 839-853. https://doi.org/10.1007/s13753-021-00374-2
Zain, A., Legono, D., Rahardjo, A.P., & Jayadi, R. (2021). Review on co-factors triggering flash flood occurrences in indonesian small catchments. In 4th International Conference of Water Resources Development and Environmental Protection. (Cat No. 012087) (Vol. 930, pp. 1-9). https://doi.org/10.1088/1755-1315/930/1/012087
  • 17
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: Decision Science Letters | Year: 2023 | Volume: 12 | Issue: 2 | Views: 1321 | Reviews: 0

Related Articles:
  • Forecasting the cross-sectional stock returns: Evidence from the United Kin ...
  • Classification and prediction of rural socio-economic vulnerability (IRSV) ...
  • Determination of the natural disaster insurance premiums by considering the ...
  • Investigating the effects of several intervention on supply chain behavior: ...
  • Analysing the decision making for agricultural risk assessment: An applicat ...

Add Reviews

Name:*
E-Mail:
Review:
Bold Italic Underline Strike | Align left Center Align right | Insert smilies Insert link URLInsert protected URL Select color | Add Hidden Text Insert Quote Convert selected text from selection to Cyrillic (Russian) alphabet Insert spoiler
winkwinkedsmileam
belayfeelfellowlaughing
lollovenorecourse
requestsadtonguewassat
cryingwhatbullyangry
Security Code: *
Include security image CAPCHA.
Refresh Code

® 2010-2026 GrowingScience.Com