An Asymptotic CVaR Measure of Risk for Markov Chains
By Shivam Patel, Vivek Borkar
Rating
1669
Battle Count: 98
Relevance
8/10
Highly relevant for long-term risk assessment in financial markets modeled as Markov chains
Implementation Complexity
7/10
Requires implementation of two-time scale stochastic approximation and understanding of large deviations theory
Reproducibility
3/5
The paper provides a detailed algorithm, but lacks specific implementation details and hyperparameters
About this paper
Methodology: Asymptotic Conditional Value at Risk (ACVaR). Problem types: Risk Management, Time Series Analysis.
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