Cargando…

Risk and Portfolio Analysis: Principles and Methods

Detalles Bibliográficos
Autores principales:	Hult, Henrik, Lindskog, Filip, Hammarlid, Ola, Rehn, Carl Johan
Lenguaje:	eng
Publicado:	Springer 2012
Materias:	Mathematical Physics and Mathematics
Acceso en línea:	https://dx.doi.org/10.1007/978-1-4614-4103-8 http://cds.cern.ch/record/1499284

Ejemplares similares

Concentration risk in credit portfolios
por: Lütkebohmert, Eva
Publicado: (2009)

Mathematical risk analysis: dependence, risk bounds, optimal allocations and portfolios
por: Rüschendorf, Ludger
Publicado: (2013)

Multicriteria Portfolio Management
por: Xidonas, Panos, et al.
Publicado: (2012)

Stochastic portfolio theory
por: Fernholz, E Robert
Publicado: (2002)

Multicriteria portfolio construction with Python
por: Sarmas, Elissaios, et al.
Publicado: (2020)

Quantitative portfolio management: with applications in python
por: Brugière, Pierre
Publicado: (2020)

Algorithm portfolios: advances, applications, and challenges
por: Souravlias, Dimitris, et al.
Publicado: (2021)

Elliptically contoured models in statistics and portfolio theory
por: Gupta, Arjun K, et al.
Publicado: (2013)

Introduction to modern portfolio optimization with NuOPT and S-PLUS
por: Scherer, Bernd, et al.
Publicado: (2005)

Statistical decision problems: selected concepts and portfolio safeguard case studies
por: Zabarankin, Michael, et al.
Publicado: (2014)

Neutral and Indifference Portfolio Pricing, Hedging and Investing: With applications in Equity and FX
por: Stojanovic, Srdjan
Publicado: (2011)

Statistics: principles and methods
por: Johnson, Richard A, et al.
Publicado: (2014)

Statistics: principles and methods
por: Johnson, Richard A, et al.
Publicado: (2006)

Dirichlet series: principles and methods
por: Mandelbrojt, S
Publicado: (1971)

Symposium on Physical Non-Linearities in Structural Analysis
por: Hult, Jan, et al.
Publicado: (1981)

Path integrals and Hamiltonians: principles and methods
por: Baaquie, Belal E
Publicado: (2014)

Kernel smoothing: principles, methods and applications
por: Ghosh, S
Publicado: (2018)

Statistical methods for global health and epidemiology: principles, methods and applications
por: Chen, Xinguang, et al.
Publicado: (2020)

Principles of mathematical modelling: ideas, methods, examples
por: Samarskii, Alexander A, et al.
Publicado: (2014)

General Principles of Discretization Methods, Theory and Applications
por: Mathematisches Forschungsinstitut Oberwolfach
Publicado: (1994)

Statistics: principles and methods. Student solution manual
por: McKibben, Mark, et al.
Publicado: (2006)

Principles of functional analysis
por: Schechter, Martin
Publicado: (2001)

Principles of real analysis
por: Malik, SC
Publicado: (2011)

Principles of harmonic analysis
por: Deitmar, Anton, et al.
Publicado: (2014)

Principles of harmonic analysis
por: Deitmar, Anton, et al.
Publicado: (2009)

Principles of numerical analysis
por: Householder, Alston S
Publicado: (1953)

Principles of complex analysis
por: Lvovski, Serge
Publicado: (2020)

Principles of regression analysis
por: Plackett, Roger Lewis
Publicado: (1960)

Principles of real analysis
por: Aliprantis, Charalambos D, et al.
Publicado: (1998)

Principles of multivariate analysis
por: Krzanowski, Wojtek
Publicado: (2000)

Duality principles in nonconvex systems: theory, methods and applications
por: Gao, David Yang
Publicado: (2000)

Principles and procedures of numerical analysis
por: Szidarovszky, Ferenc, et al.
Publicado: (1978)

The uncertainty principle in harmonic analysis
por: Havin, Victor, et al.
Publicado: (1994)

Nonsmooth Variational Problems and their Inequalities: Comparison Principles and Applications
por: Carl, Siegfried, et al.
Publicado: (2007)

Bifurcation analysis: principles, applications and synthesis
por: Hazewinkel, M, et al.
Publicado: (1984)

Bayesian decision analysis: principles and practice
por: Smith, Jim Q
Publicado: (2010)

Optimal design through the sub-relaxation method: understanding the basic principles
por: Pedregal, Pablo
Publicado: (2016)

Applied functional analysis: main principles and their applications
por: Zeidler, Eberhard
Publicado: (1995)

Time-frequency and time-scale methods: adaptive decompositions, uncertainty principles, and sampling
por: Hogan, Jeffrey A, et al.
Publicado: (2005)

Variational principles
por: Moiseiwitsch, Benjamin Lawrence
Publicado: (1966)

Cannot write session to /tmp/vufind_sessions/sess_r9q6femodlabv9coolgovi81uh