The fundamental risk quadrangle in risk management, optimization and statistical estimation
Random variables that stand for cost, loss or damage must be confronted in numerous
situations. Dealing with them systematically for purposes in risk management, optimization …
situations. Dealing with them systematically for purposes in risk management, optimization …
[CITATION][C] FinTech Innovation: From Robo‐Advisors to Goal Based Investing and Gamification
P Sironi - 2016 - books.google.com
A survival guide for the FinTech era of banking FinTech Innovation examines the rise of
financial technology and its growing impact on the global banking industry. Wealth …
financial technology and its growing impact on the global banking industry. Wealth …
[PDF][PDF] Optimization of conditional value-at-risk
This paper introduces a new approach to optimizing a portfolio so as to reduce the risk of
high losses. Value-at-Risk (VaR) has a role in the approach, but the emphasis is on …
high losses. Value-at-Risk (VaR) has a role in the approach, but the emphasis is on …
Conditional value-at-risk for general loss distributions
Fundamental properties of conditional value-at-risk (CVaR), as a measure of risk with
significant advantages over value-at-risk (VaR), are derived for loss distributions in finance …
significant advantages over value-at-risk (VaR), are derived for loss distributions in finance …
Robust portfolio selection problems: a comprehensive review
This paper reviews recent advances in robust portfolio selection problems and their
extensions, from both operational research and financial perspectives. A multi-dimensional …
extensions, from both operational research and financial perspectives. A multi-dimensional …
Conditional value-at-risk: Optimization algorithms and applications
S Uryasev - proceedings of the IEEE/IAFE/INFORMS 2000 …, 2000 - ieeexplore.ieee.org
This article has outlined a new approach for the simultaneous calculation of value-at-risk
(VaR) and optimization of conditional VaR (CVaR) for a broad class of problems. We have …
(VaR) and optimization of conditional VaR (CVaR) for a broad class of problems. We have …
Drawdown measure in portfolio optimization
A new one-parameter family of risk measures called Conditional Drawdown (CDD) has
been proposed. These measures of risk are functionals of the portfolio drawdown …
been proposed. These measures of risk are functionals of the portfolio drawdown …
Production planning via scenario modelling
Abstract Several Linear Programming (LP) and Mixed Integer Programming (MIP) models for
the production and capacity planning problems with uncertainty in demand are proposed. In …
the production and capacity planning problems with uncertainty in demand are proposed. In …
Portfolio optimization with drawdown constraints
We propose a new one-parameter family of risk measures, which is called Conditional Draw-
down-at-Risk (CDaR). These measures of risk are functionals of the portfolio drawdown …
down-at-Risk (CDaR). These measures of risk are functionals of the portfolio drawdown …
Conditional value-at-risk: optimization approach
A new approach for optimization or hedging of a portfolio of finance instruments to reduce
the risks of high losses is suggested and tested with several applications. As a measure of …
the risks of high losses is suggested and tested with several applications. As a measure of …