dc.contributor | González de Salceda Ruiz, Luis Manuel | |
dc.contributor | Luis Manuel González de Salceda Ruiz | |
dc.creator | Juan Sampieri Espinoza | |
dc.creator | JUAN SAMPIERI ESPINOZA | es |
dc.date.accessioned | 2018-05-10T12:49:25Z | |
dc.date.available | 2018-05-10T12:49:25Z | |
dc.date.issued | 2015 | |
dc.identifier.uri | http://hdl.handle.net/11285/629405 | |
dc.description | To measure the risk of an assets portfolio, exposed to catastrophic losses product of adverse natural phenomena, and estimate its maximum expected economic loss, it is necessary to have a wide range of scenarios, so the strong historical deviations in natural variables as extreme precipitation or the lack of it, very high or low temperatures are captured. These infrequent scenarios can be obtained through simulations based on historical data, but, in contrast with simulations made for portfolios with only financial instruments, it is not possible to assume neither statistical independence nor parametric distributions for the data. To assume no correlation and parametric distributions for the historical observations used to obtain the simulations, will result in an underestimation of the possible losses of the portfolio. --Abstract . | |
dc.language | spa | |
dc.publisher | Instituto Tecnológico y de Estudios Superiores de Monterrey | |
dc.relation | Investigadores | |
dc.relation | Estudiantes | |
dc.relation.isFormatOf | versión publicada | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0 | * |
dc.subject | Corn--Risk management--Statistical methods--Mexico | |
dc.subject | Portfolios management--Statistical methods--Mexico | |
dc.subject | Monte Carlo method | |
dc.subject | Financial futures--Mexico | |
dc.subject | Maíz--Administración de riesgos--México | |
dc.subject | Administración de portafolios--Métodos estadísticos--México | |
dc.subject | Método de Montecarlo | |
dc.subject | Futuros financieros--México | |
dc.subject | Administración de riesgos--México | |
dc.subject.classification | 5 CIENCIAS SOCIALES | |
dc.title | Nonparametric estimation of economic losses due to adverse natural phenomena : the case of the Mexican corn production portfolio | |
dc.type | Tesis de doctorado | |
thesis.degree.level | Doctorado en Ciencias Financieras | |
thesis.degree.discipline | Escuela de Graduados en Administración y Dirección de Empresas. | |
refterms.dateFOA | 2018-05-10T12:49:25Z | |