Risk and Portfolio Optimization
Risk and Portfolio Optimization is a research topic within Management Science and Operations Research. Science Explorer counts 12k research works in it since 1950. 10.2% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on robust optimization techniques for risk management and finance, including topics such as conditional value-at-risk, stochastic programming, portfolio optimization, uncertain data, coherent risk measures, and the Wasserstein metric. The papers explore methodologies and applications of robust optimization in addressing uncertainty and risk in financial decision-making.
- Robust Optimization
- Risk Management
- Finance
- Conditional Value-at-Risk
- Stochastic Programming
- Portfolio Optimization
- Uncertain Data
- Coherent Risk Measures
- Wasserstein Metric
- Convex Optimization
- Research works
- 12k fractional, since 1950
- In the world top 10%
- 1.2k per year above
- Top-10% rate
- 10.2% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +16% the tick is no change
- Largest producer
China
36% of the 10 largest, 2022-now
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