Determining the premium of paddy insurance using the extreme value theory method and the operational value at risk approach
Paddy farming is a source of livelihood for most rural communities in Indonesia. Indonesia as an agrarian country with a tropical climate, where the sun shines all the time and farmers can grow crops throughout the season. However, changes in air temperature, weather, and annual rainfall which somet...
Saved in:
Published in | Journal of physics. Conference series Vol. 1722; no. 1; pp. 12059 - 12068 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
IOP Publishing
01.01.2021
|
Online Access | Get full text |
Cover
Loading…
Abstract | Paddy farming is a source of livelihood for most rural communities in Indonesia. Indonesia as an agrarian country with a tropical climate, where the sun shines all the time and farmers can grow crops throughout the season. However, changes in air temperature, weather, and annual rainfall which sometimes change uncertainly cause changes in cropping patterns, which are caused by minimal water supplies in the dry season and flooding in the rainy season. This uncertainty will certainly increase the risk of crop failure. In addition to the risk of weather, other disturbances from plant pests and plant pests also cause the risk of crop failure, which results in greater losses to farmers. One way to transfer this risk is through a rice agricultural insurance program. This study aims to calculate the premium price using the Extreme Value Theory (EVT) method with the Operational Value at Risk (OpVaR) approach based on weather, pests and plant diseases. In this study, the data used are weather data Pests and plant diseases disturbance in West Java in 2009-2019. The stages in this research, the first step is to determine the estimated threshold value to obtain extreme data, then estimate the parameters using the likelihood method. Data suitability test with Generalized Pareto Distribution (GPD) was performed using the QQplot test. Risk is determined by the Operational Value at Risk (OpVaR) approach, the results of which are used to calculate the appropriate premium for paddy agricultural insurance. |
---|---|
AbstractList | Abstract
Paddy farming is a source of livelihood for most rural communities in Indonesia. Indonesia as an agrarian country with a tropical climate, where the sun shines all the time and farmers can grow crops throughout the season. However, changes in air temperature, weather, and annual rainfall which sometimes change uncertainly cause changes in cropping patterns, which are caused by minimal water supplies in the dry season and flooding in the rainy season. This uncertainty will certainly increase the risk of crop failure. In addition to the risk of weather, other disturbances from plant pests and plant pests also cause the risk of crop failure, which results in greater losses to farmers. One way to transfer this risk is through a rice agricultural insurance program. This study aims to calculate the premium price using the Extreme Value Theory (EVT) method with the Operational Value at Risk (OpVaR) approach based on weather, pests and plant diseases. In this study, the data used are weather data Pests and plant diseases disturbance in West Java in 2009-2019. The stages in this research, the first step is to determine the estimated threshold value to obtain extreme data, then estimate the parameters using the likelihood method. Data suitability test with Generalized Pareto Distribution (GPD) was performed using the QQplot test. Risk is determined by the Operational Value at Risk (OpVaR) approach, the results of which are used to calculate the appropriate premium for paddy agricultural insurance. Paddy farming is a source of livelihood for most rural communities in Indonesia. Indonesia as an agrarian country with a tropical climate, where the sun shines all the time and farmers can grow crops throughout the season. However, changes in air temperature, weather, and annual rainfall which sometimes change uncertainly cause changes in cropping patterns, which are caused by minimal water supplies in the dry season and flooding in the rainy season. This uncertainty will certainly increase the risk of crop failure. In addition to the risk of weather, other disturbances from plant pests and plant pests also cause the risk of crop failure, which results in greater losses to farmers. One way to transfer this risk is through a rice agricultural insurance program. This study aims to calculate the premium price using the Extreme Value Theory (EVT) method with the Operational Value at Risk (OpVaR) approach based on weather, pests and plant diseases. In this study, the data used are weather data Pests and plant diseases disturbance in West Java in 2009-2019. The stages in this research, the first step is to determine the estimated threshold value to obtain extreme data, then estimate the parameters using the likelihood method. Data suitability test with Generalized Pareto Distribution (GPD) was performed using the QQplot test. Risk is determined by the Operational Value at Risk (OpVaR) approach, the results of which are used to calculate the appropriate premium for paddy agricultural insurance. |
Author | Ismail, N Riaman Sukono Supian, S |
Author_xml | – sequence: 1 surname: Riaman fullname: Riaman email: riaman@unpad.ac.id organization: Doctoral Student, Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran , Indonesia – sequence: 2 surname: Sukono fullname: Sukono organization: Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran , Indonesia – sequence: 3 givenname: S surname: Supian fullname: Supian, S organization: Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran , Indonesia – sequence: 4 givenname: N surname: Ismail fullname: Ismail, N organization: Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia , Malaysia |
BookMark | eNqNkE1LAzEQhoNUsK3-BnMWavPR3WSPUr8pKKjnkN0kNrWbhGRXLP55d20tCB6cywyZ5x3IMwID550G4BSjc4w4n2I2I5M8K_JuImSKpwgTlBUHYLjfDPYz50dglNIKIdoVG4LPS93oWFtn3StslhqGqGvb1tAbGKRSG2hdaqN0lYZt-oH0R9NhGr7Ldav7Fx83sNbN0isonfpmfNBRNtY7ud5xsoHRpjcoQ4heVstjcGjkOumTXR-Dl-ur5_ntZPFwcze_WEwqmtNiQllJ1ExSlLMsM5qUOVeEYWMoo4gYhWRJihnXuCsuiwoxySuNsGKFKlnJ6Riw7d0q-pSiNiJEW8u4ERiJ3qHo7YjelOgdCiy2Drsk3SatD2Ll29h9Jv0jdfZH6v5x_vQbFEEZ-gVoFYVM |
CitedBy_id | crossref_primary_10_3390_computation10080140 |
Cites_doi | 10.1002/jid.3380040602 10.1016/S2095-3119(13)60587-0 10.1063/1.5132469 10.1017/asb.2019.5 10.1007/s13753-015-0071-4 10.3390/cli7110125www.mdpi.com/journal/climate 10.1016/j.cam.2011.01.044 10.1016/j.heliyon.2020.e03212 10.1371/journal.pone.0201426 10.1016/j.mcm.2012.07.013 10.1051/matecconf/201710005023 10.1016/S0378-4266(02)00271-6 10.4236/jmf.2019.92010 |
ContentType | Journal Article |
Copyright | Published under licence by IOP Publishing Ltd |
Copyright_xml | – notice: Published under licence by IOP Publishing Ltd |
DBID | O3W TSCCA AAYXX CITATION |
DOI | 10.1088/1742-6596/1722/1/012059 |
DatabaseName | Institute of Physics Open Access Journal Titles IOPscience (Open Access) CrossRef |
DatabaseTitle | CrossRef |
DatabaseTitleList | CrossRef |
Database_xml | – sequence: 1 dbid: O3W name: Institute of Physics Open Access Journal Titles url: http://iopscience.iop.org/ sourceTypes: Enrichment Source Publisher |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Physics |
DocumentTitleAlternate | Determining the premium of paddy insurance using the extreme value theory method and the operational value at risk approach |
EISSN | 1742-6596 |
ExternalDocumentID | 10_1088_1742_6596_1722_1_012059 JPCS_1722_1_012059 |
GroupedDBID | 1JI 29L 2WC 4.4 5B3 5GY 5PX 5VS 7.Q AAJIO AAJKP ABHWH ACAFW ACHIP AEFHF AEJGL AFKRA AFYNE AIYBF AKPSB ALMA_UNASSIGNED_HOLDINGS ARAPS ASPBG ATQHT AVWKF AZFZN BENPR BGLVJ CCPQU CEBXE CJUJL CRLBU CS3 DU5 E3Z EBS EDWGO EQZZN F5P FRP GROUPED_DOAJ GX1 HCIFZ HH5 IJHAN IOP IZVLO J9A KNG KQ8 LAP N5L N9A O3W OK1 P2P PIMPY PJBAE RIN RNS RO9 ROL SY9 T37 TR2 TSCCA UCJ W28 XSB ~02 AAYXX CITATION |
ID | FETCH-LOGICAL-c3639-37b2d4a306755fe2b68d271ff37302fd0ab2948e11118a9c07a8ce01d79db7b83 |
IEDL.DBID | O3W |
ISSN | 1742-6588 |
IngestDate | Fri Aug 23 03:59:19 EDT 2024 Wed Aug 21 03:38:06 EDT 2024 Fri Jan 22 06:57:35 EST 2021 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Language | English |
License | Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c3639-37b2d4a306755fe2b68d271ff37302fd0ab2948e11118a9c07a8ce01d79db7b83 |
OpenAccessLink | https://iopscience.iop.org/article/10.1088/1742-6596/1722/1/012059 |
PageCount | 10 |
ParticipantIDs | crossref_primary_10_1088_1742_6596_1722_1_012059 iop_journals_10_1088_1742_6596_1722_1_012059 |
PublicationCentury | 2000 |
PublicationDate | 20210101 |
PublicationDateYYYYMMDD | 2021-01-01 |
PublicationDate_xml | – month: 01 year: 2021 text: 20210101 day: 01 |
PublicationDecade | 2020 |
PublicationTitle | Journal of physics. Conference series |
PublicationTitleAlternate | J. Phys.: Conf. Ser |
PublicationYear | 2021 |
Publisher | IOP Publishing |
Publisher_xml | – name: IOP Publishing |
References | JPCS_1722_1_012059bib5 Mekonnen (JPCS_1722_1_012059bib36) 2017 JPCS_1722_1_012059bib2 Stutley (JPCS_1722_1_012059bib32) 2011 Agung (JPCS_1722_1_012059bib24) 2019; 8 Pane (JPCS_1722_1_012059bib29) 2015; 6 Shirsath (JPCS_1722_1_012059bib22) 2019; 25 Hazell (JPCS_1722_1_012059bib12) 1992; 4 Stuecker (JPCS_1722_1_012059bib30) 2018; 13 Mortensen (JPCS_1722_1_012059bib19) 2018; 24 Klugman (JPCS_1722_1_012059bib15) 2012 Zhang (JPCS_1722_1_012059bib39) 2019; 49 Zhu (JPCS_1722_1_012059bib40) 2015 Gaillardetz (JPCS_1722_1_012059bib11) 2018 Pribadi (JPCS_1722_1_012059bib25) 2019; 9 Maxwel (JPCS_1722_1_012059bib18) 2010 Kapsambeli (JPCS_1722_1_012059bib6) 2019; 7 Burns (JPCS_1722_1_012059bib4) 2018; 43 Bommier (JPCS_1722_1_012059bib7) 2014; 33 Tyrrell (JPCS_1722_1_012059bib27) 2002; 26 Cabrera (JPCS_1722_1_012059bib3) 2013 Raucci (JPCS_1722_1_012059bib26) 2018; 74 Leil (JPCS_1722_1_012059bib38) 2013; 12 Diop (JPCS_1722_1_012059bib1) 2019; 9 Taib (JPCS_1722_1_012059bib33) 2012 Berhane (JPCS_1722_1_012059bib34) 2020; 6 Wu (JPCS_1722_1_012059bib37) 2017; 100 Nahib (JPCS_1722_1_012059bib13) 2017; 149 Rydman (JPCS_1722_1_012059bib28) 2018 Matthew (JPCS_1722_1_012059bib31) 2016; 140 Gebizlioglua (JPCS_1722_1_012059bib21) 2011 Jindrová (JPCS_1722_1_012059bib23) 2019; 16 Liliana (JPCS_1722_1_012059bib16) 2009; 19 Martin (JPCS_1722_1_012059bib17) 2001; 26 Yao (JPCS_1722_1_012059bib9) 2013 Okine (JPCS_1722_1_012059bib20) 2014 Far (JPCS_1722_1_012059bib8) 2016 Filiapuspa (JPCS_1722_1_012059bib10) 2019; 2168 Mwende (JPCS_1722_1_012059bib14) 2017 Kaus (JPCS_1722_1_012059bib35) 2019 |
References_xml | – volume: 4 start-page: 567 year: 1992 ident: JPCS_1722_1_012059bib12 article-title: The Appropriate Role of Agricultural Insurance in Developing Countries publication-title: Journal of International Development doi: 10.1002/jid.3380040602 contributor: fullname: Hazell – year: 2018 ident: JPCS_1722_1_012059bib11 contributor: fullname: Gaillardetz – volume: 149 year: 2017 ident: JPCS_1722_1_012059bib13 article-title: Integration of logistic regression and multicriteria land evaluation to simulation establishment of sustainable paddy field zone in Indramayu Regency, West Java Province, Indonesia publication-title: IOP Conference Series: Earth and Environmental Science contributor: fullname: Nahib – year: 2012 ident: JPCS_1722_1_012059bib15 contributor: fullname: Klugman – volume: 25 year: 2019 ident: JPCS_1722_1_012059bib22 article-title: Designing Weather Index Insurance of Crops for the Increased Satisfaction of Farmers, Industry and the Government publication-title: Climate Risk Management Journal contributor: fullname: Shirsath – volume: 12 start-page: 2310 year: 2013 ident: JPCS_1722_1_012059bib38 article-title: Assessment of Flood Catastrophe Risk for Grain Production at the Provincial Scale in China Based on the BMM Method publication-title: Journal of Integrative Agriculture doi: 10.1016/S2095-3119(13)60587-0 contributor: fullname: Leil – volume: 2168 year: 2019 ident: JPCS_1722_1_012059bib10 article-title: Applying Black Scholes method for crop insurance pricing publication-title: AIP Conference Proceedings doi: 10.1063/1.5132469 contributor: fullname: Filiapuspa – volume: 43 start-page: 61 issn: 1068-5502 year: 2018 ident: JPCS_1722_1_012059bib4 article-title: Does Crop Insurance Commercial Crop Farm Decisions to Expand? An Analysis Using Panel Data from the Census of Agriculture publication-title: Journal of Agricultural and Resource Economics contributor: fullname: Burns – year: 2017 ident: JPCS_1722_1_012059bib14 contributor: fullname: Mwende – year: 2016 ident: JPCS_1722_1_012059bib8 article-title: Evaluation of Peaks-Over-Threshold Method contributor: fullname: Far – year: 2015 ident: JPCS_1722_1_012059bib40 contributor: fullname: Zhu – volume: 140 year: 2016 ident: JPCS_1722_1_012059bib31 article-title: Using an Option Pricing Approach to Evaluate Strategic Decisions in a Rapidly Changing Climate: Black-Scholes and Climate Change publication-title: Climatic Change contributor: fullname: Matthew – volume: 16 year: 2019 ident: JPCS_1722_1_012059bib23 article-title: Natural Catostrophe Models for Insurance Risk Management Wseas publication-title: Transactions on Bussiness and Economics contributor: fullname: Jindrová – volume: 26 start-page: 261 year: 2001 ident: JPCS_1722_1_012059bib17 article-title: Developing and Pricing Precipation Insurance publication-title: Journal of Agricultural and Resource Economics contributor: fullname: Martin – volume: 49 start-page: 491 year: 2019 ident: JPCS_1722_1_012059bib39 article-title: Index Insurance Design publication-title: The Journal of the IAA ASTIN Bulletin doi: 10.1017/asb.2019.5 contributor: fullname: Zhang – volume: 24 year: 2018 ident: JPCS_1722_1_012059bib19 article-title: Index-Based Insurance for Agricultural Protection in Southern Peru publication-title: Journal Hydrology Engineering contributor: fullname: Mortensen – volume: 19 start-page: 119 year: 2009 ident: JPCS_1722_1_012059bib16 article-title: Using the Black-Scholes method for estimating high-cost illness insurance premiums in Colombia publication-title: Innovar Revista de Ciencias Administrativas y Sociales contributor: fullname: Liliana – volume: 6 start-page: 335 year: 2015 ident: JPCS_1722_1_012059bib29 article-title: Agricultural Risk Modeling Challenges in China: Probabilistic Modeling of Rice Losses in Hunan Province publication-title: International Journal Disaster Risk Sci doi: 10.1007/s13753-015-0071-4 contributor: fullname: Pane – volume: 7 start-page: 125 year: 2019 ident: JPCS_1722_1_012059bib6 article-title: An Innovative Damage Model for Crop Insurance, Combining Two Hazards into a Single Climatic Index publication-title: Climate 2019 doi: 10.3390/cli7110125www.mdpi.com/journal/climate contributor: fullname: Kapsambeli – year: 2014 ident: JPCS_1722_1_012059bib20 contributor: fullname: Okine – year: 2011 ident: JPCS_1722_1_012059bib21 article-title: Comparison of certain value-at-risk estimation methods for the two-parameter Weibull loss distribution doi: 10.1016/j.cam.2011.01.044 contributor: fullname: Gebizlioglua – ident: JPCS_1722_1_012059bib5 – volume: 6 start-page: 1 year: 2020 ident: JPCS_1722_1_012059bib34 article-title: Option pricing of weather derivatives based on a stochastic daily rainfall model with Analogue Year component publication-title: Heliyon doi: 10.1016/j.heliyon.2020.e03212 contributor: fullname: Berhane – year: 2013 ident: JPCS_1722_1_012059bib3 contributor: fullname: Cabrera – volume: 13 year: 2018 ident: JPCS_1722_1_012059bib30 article-title: Climate variability impacts on rice production in the Philippines publication-title: PLoS ONE doi: 10.1371/journal.pone.0201426 contributor: fullname: Stuecker – year: 2013 ident: JPCS_1722_1_012059bib9 article-title: CVaR Measurement and Operational Risk Management in Commercial Banks According to The Peak Value Method of Extreme Value Theory doi: 10.1016/j.mcm.2012.07.013 contributor: fullname: Yao – volume: 33 year: 2014 ident: JPCS_1722_1_012059bib7 article-title: Peaks-Over-Threshold Modelling of Environmental Data publication-title: U. U. D. M. Project Report contributor: fullname: Bommier – year: 2010 ident: JPCS_1722_1_012059bib18 contributor: fullname: Maxwel – year: 2019 ident: JPCS_1722_1_012059bib35 contributor: fullname: Kaus – year: 2012 ident: JPCS_1722_1_012059bib33 contributor: fullname: Taib – volume: 100 year: 2017 ident: JPCS_1722_1_012059bib37 article-title: The Optimization of The Three-eselon Agriculture Supply Chains under Crops Revenue Insurance publication-title: MATEC Web Conferences doi: 10.1051/matecconf/201710005023 contributor: fullname: Wu – volume: 74 start-page: 17 year: 2018 ident: JPCS_1722_1_012059bib26 article-title: Development of Weather Derivatives: Evidence from The Brazilian Soybean Market publication-title: Italian Review of Agricultural Economics contributor: fullname: Raucci – volume: 9 year: 2019 ident: JPCS_1722_1_012059bib25 article-title: Robust model of the combination of expectations and conditional valueat-risk from paddy farming risk management based on climate variability publication-title: International Journal of Innovation, Creativity and Change contributor: fullname: Pribadi – year: 2018 ident: JPCS_1722_1_012059bib28 article-title: Application of the Peaks-Over-Threshold Method on Insurance Data contributor: fullname: Rydman – year: 2011 ident: JPCS_1722_1_012059bib32 contributor: fullname: Stutley – year: 2017 ident: JPCS_1722_1_012059bib36 contributor: fullname: Mekonnen – ident: JPCS_1722_1_012059bib2 – volume: 26 start-page: 1443 year: 2002 ident: JPCS_1722_1_012059bib27 article-title: Conditional value-at-risk for general loss distributions publication-title: Journal of Banking & Finance doi: 10.1016/S0378-4266(02)00271-6 contributor: fullname: Tyrrell – volume: 8 start-page: 3 year: 2019 ident: JPCS_1722_1_012059bib24 article-title: Determining Sustainable Rice Farming through Supply Chain Risk Management: A Case Study in Central Java publication-title: International Journal of Supply Chain Management contributor: fullname: Agung – volume: 9 start-page: 182 issn: 2162-2434 year: 2019 ident: JPCS_1722_1_012059bib1 article-title: Agricultural Risk Pricing in Senegal publication-title: Journal of Mathematical Finance doi: 10.4236/jmf.2019.92010 contributor: fullname: Diop |
SSID | ssj0033337 |
Score | 2.3073273 |
Snippet | Paddy farming is a source of livelihood for most rural communities in Indonesia. Indonesia as an agrarian country with a tropical climate, where the sun shines... Abstract Paddy farming is a source of livelihood for most rural communities in Indonesia. Indonesia as an agrarian country with a tropical climate, where the... |
SourceID | crossref iop |
SourceType | Aggregation Database Enrichment Source Publisher |
StartPage | 12059 |
Title | Determining the premium of paddy insurance using the extreme value theory method and the operational value at risk approach |
URI | https://iopscience.iop.org/article/10.1088/1742-6596/1722/1/012059 |
Volume | 1722 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8NAEF6sRfAiPrE-yoIejU12s8nm6KOlFmyLWuxtyb7AQ9vQ1oP4553dpNAeRMxpD5Nl-dh5ZPLNDELXmklmY1Aka8M8iFOWBJlNqCt9UjKMpAo9N-e5n3RHcW_Mxuu1MLOiMv23sCwbBZcQVoQ43oIYmgQJyxJYEdKKWq7-k2U1VAfn64OkAX1fWWMKT1oWRbqXOF9xvH7faMND1eAUaw6ns4_2qkgR35XnOkBbZnqIdjxjUy2O0PdjRWQB34MhisPF3Ew-Pid4ZnEB5uQLO5q5G5thsCO3l0Jgil1CELse3wb7KsYvXE6RxvlUe5lZYeZVirCSy5fYUdDxqgH5MRp12m8P3aCapBAoCiEIWBFJdJz7zwNmDZEJ1ySNrKWg4MTqMJcki7lx9pPnmQrTnCsTRjrNtEwlpydoezqbmlOEmZGpjjVVSWLBsdEsZ1TGMdVKKgvesIHCFXqiKBtmCP-jm3PhABcOcOEAF5EoAW-gG0BZVMqz-Fv8akO8N3x43ZQQhbZn_9v0HO0Sx1bxyZULtL2cf5pLCDeWsonq9-3-8KWJak-DYdPfrh9QBcpD |
link.rule.ids | 315,786,790,27955,27956,38898,38923,53875,53901 |
linkProvider | IOP Publishing |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELbaIhAL4inK0xKMhCZ2nDgjaqlKgVIJKrpZ8UtiaBv1MVT8ec5JiuiAEJk8nC3rk313vnx3h9C1ZpLZEC6StX7qhTGLvMRG1KU-KekHUvk5N-e5F3UGYXfIhhXU_s6FmWSl6r-FYVEouICwJMTxBvjQxItYEsGIkEbQcPmfLGlk2lbRBnOPeDjXL_R9pZEpfHGRGOkmcr7ief2-2JqVqsJOfhid9i7aKb1FfFfsbQ9VzHgfbeasTTU7QJ-tkswC9geDJ4ezqRl9LEZ4YnEGKmWJHdXctc4w2BHcCyFQxy4oiF2db4PzTMYlLjpJ43Ssc5lJZqZlmLCUS-fY0dDxqgj5IRq079-aHa_spuApCm4IaBJJdJjmTwRmDZER1yQOrKVwyYnVfipJEnLjdChPE-XHKVfGD3ScaBlLTo9QbTwZm2OEmZGxDjVVUWTBuNEkZVSGIdVKKgsWsY78FXoiK4pmiPxnN-fCAS4c4MIBLgJRAF5HN4CyKC_Q7G_xqzXxbr_5ui4h4Dic_G_RS7TVb7XF00Pv8RRtE0deyWMtZ6g2ny7MOXgfc3mRH60v4QLLlA |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Determining+the+premium+of+paddy+insurance+using+the+extreme+value+theory+method+and+the+operational+value+at+risk+approach&rft.jtitle=Journal+of+physics.+Conference+series&rft.au=Riaman&rft.au=Sukono&rft.au=Supian%2C+S&rft.au=Ismail%2C+N&rft.date=2021-01-01&rft.pub=IOP+Publishing&rft.issn=1742-6588&rft.eissn=1742-6596&rft.volume=1722&rft.issue=1&rft_id=info:doi/10.1088%2F1742-6596%2F1722%2F1%2F012059&rft.externalDocID=JPCS_1722_1_012059 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1742-6588&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1742-6588&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1742-6588&client=summon |