Bayesian Estimation of Heteroskedastic Structural Vector Autoregressions with Markov-Switching and Time-Varying Identification of the Structural Matrix

R Code for Bayesian Inference for Structural Vector Autoregressions Identified with Markov-Switching Heteroskedasticity

Bayesian Estimation of Markov-Switching VARs for Granger Causal Inference in R

Systematischer Vergleich ökonometrischer Modelle und moderner Machine-Learning-Verfahren zur regimebasierten dynamischen Asset-Allokation und Drawdown-Reduktion.

Financial Data Analytics Dashboard

Likelihood ratio based tests for regime switching

R package for Markov-Switching Mean-Adjusted VAR estimation via EM algorithm.

Threshold Vector Error-Correction analysis of South Australian battery storage and SA–VIC wholesale electricity price dynamics, 2023–2025.

Create sparse transition matrices given state-space vectors, mean, variance

End-to-end agentic Python pipeline for model-grounded economic analysis (Kato, 2026). Uses Neo4j to route an LLM through planning, parallel RAG and graph retrieval, governed model selection, and rubric-based judging. Computational layer solves New Keynesian DSGE and Markov-Switching VAR with full provenance.

Synthetic data and PBO sensitivity in quantitative strategy selection (Master's thesis, UTDT 2026).

A rigorous, reproducible benchmark of regime-switching models for agricultural commodity prices — from Hamilton (1989) MS-AR to HMM-LSTM hybrids to zero-shot Chronos. Walk-forward backtesting, statistical significance testing, three commodities, four horizons.

End-to-End Python implementation of Markov-Switching VAR framework for detecting endogenous financial fragility. Replicates Delli Gatti et al.'s (2025) methodology using EM algorithm, Hamilton filtering, and HP spectral decomposition to empirically test Minsky's Financial Instability Hypothesis in macroeconomic data.