AFMF Legacy Series – Teaser Paper 3: Liquidity, Forecasting, and Systemic Volatility Models under Sovereign Risk-Adjusted Financial Frameworks

This third installment of the AFMF Legacy Series presents 15 sovereign-aware models designed to assess liquidity resilience, macro-induced volatility, and forward-looking financial diagnostics. Developed under the AFMF Legacy Academy using the proprietary SSAF (Sovereign Support Adjustment Factor) framework, these models recalibrate liquidity and volatility analytics for modern macro-financial realities. The models represent a shift from static metrics (e.g., cash ratios, earnings margins) toward dynamic, policy-sensitive simulations of liquidity deterioration, credit accessibility, refinancing risk, and regulatory liquidity thresholds. Full mathematical algorithms are withheld to protect licensing integrity. This paper asserts authorship and protects the originality of these liquidity and volatility frameworks under a CC BY-NC-ND 4.0 license.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-06
DOI
https://doi.org/10.5281/zenodo.15178259
Primary Topic
Credit Risk and Financial Regulations
Type
article
Field-Weighted Citation Impact
0.00
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article

AFMF Legacy Series – Teaser Paper 3: Liquidity, Forecasting, and Systemic Volatility Models under Sovereign Risk-Adjusted Financial Frameworks

Zenodo (CERN European Organization for Nuclear Research)
Credit Risk and Financial Regulations
article

AFMF Legacy Series – Teaser Paper 3: Liquidity, Forecasting, and Systemic Volatility Models under Sovereign Risk-Adjusted Financial Frameworks

article en

Abstract

This third installment of the AFMF Legacy Series presents 15 sovereign-aware models designed to assess liquidity resilience, macro-induced volatility, and forward-looking financial diagnostics. Developed under the AFMF Legacy Academy using the proprietary SSAF (Sovereign Support Adjustment Factor) framework, these models recalibrate liquidity and volatility analytics for modern macro-financial realities. The models represent a shift from static metrics (e.g., cash ratios, earnings margins) toward dynamic, policy-sensitive simulations of liquidity deterioration, credit accessibility, refinancing risk, and regulatory liquidity thresholds. Full mathematical algorithms are withheld to protect licensing integrity. This paper asserts authorship and protects the originality of these liquidity and volatility frameworks under a CC BY-NC-ND 4.0 license.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 47%
Credit Risk and Financial Regulations
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