A SUPERPROCESS-BASED APPROACH TO ROUGH CIR PROCESSES AND FELLER RANDOM MEASURES

By Gordan Žitković

Rating

1238
Battle Count: 52

Relevance

8/10
Highly relevant for modeling rough volatility (rough Heston model) and understanding the theoretical underpinnings of self-exciting processes (Hawkes) used in high-frequency trading and risk management. It provides rigorous foundations for hyper-rough regimes.

Implementation Complexity

9/10
Extremely high complexity. The paper involves advanced measure-valued Markov processes, superprocess theory, and stochastic calculus. Implementation would require deep expertise in stochastic analysis and numerical methods for superprocesses.

Reproducibility

5/5
The paper provides complete mathematical proofs, definitions, and derivations. As a theoretical paper, reproducibility refers to the logical verification of proofs, which are fully detailed in the appendices.

About this paper

Methodology: Superprocess Representation. Problem types: Stochastic Modeling, Theoretical Analysis, Existence and Uniqueness Proofs.

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