Computational Methods for Risk Management in Economics and Finance

Computational Methods for Risk Management in Economics and Finance

At present, computational methods have received considerable attention in economics and finance as an alternative to conventional analytical and numerical paradigms. This Special Issue brings together both theoretical and application-oriented contributions, with a focus on the use of computational t...

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Bibliographic Details
Main Author: Resta, Marina (auth)
Format: Book Chapter
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
growth optimal portfolio
Wishart model
conditional Value-at-Risk (CoVaR)
systemic risk
utility functions
current drawdown
risk measure
risk-based portfolios
capital market pricing model
systemic risk measures
Big Data
International Financial Reporting Standard 9
cartography
stock prices
copula models
CoVaR
quantitative risk management
auto-regressive
fractional Kelly allocation
independence assumption
deep learning
structural models
financial regulation
data science
efficient frontier
weighted logistic regression
estimation error
financial markets
capital allocation
multi-step ahead forecasts
target matrix
value at risk
random matrices
credit risk
portfolio theory
convex programming
admissible convex risk measures
non-stationarity
financial mathematics
quantile regression
Markowitz portfolio theory
shrinkage
loss given default
ordered probit
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