20161208-法国巴黎银行-Introducing_the_market_factor_analysis_for_Latin_America__insightful_takeaways_11页_435kb

Summary of Market Factor Analysis for Latin America

Core Content

This document introduces a new market factor analysis framework, MarFA™, tailored for Latin America. The approach uses Principal Component Analysis (PCA) to identify the main external market factors influencing domestic risk assets, aiming to better understand co-variances and systemic/idiosyncratic risks.

The analysis is designed to complement existing methodologies such as risk premium, FX, rates, and impulse-response models. It is primarily focused on Brazil, with plans to extend the approach to other Latin American countries.

Main Points and Key Findings

1. Market Factor Identification

• The framework uses PCA to identify the most statistically significant market factors.
• Three main factors are used to explain the co-movements of domestic assets.
• The first market factor has the highest explanatory power, typically exceeding 80% for Brazilian assets.

2. Brazilian Asset Analysis

• Brazilian assets (e.g., Swap PRExDI 5y, USD-BRL, 5y CDS, NTN-B 2050) show strong correlation with the first market factor.
• The first factor is currently driven by UST yield implied volatility and UST 10y yield, not by the VIX as in previous periods.
• The political factor is found to have a relatively minor impact, with an estimated influence of ~20% on the DI market.

3. Systemic Risk Monitoring

• Periods of high systemic risk are identified when multiple assets co-vary with the first principal component.
• These periods typically last around 1.5 months, and the current phase of high systemic risk is expected to wane, allowing idiosyncratic factors (like terms of trade or carry) to regain influence.

4. Forward-Looking Insights

• The analysis, while backward-looking, provides a tool for forecasting future market dynamics.
• A reduction in UST yield implied volatility is expected to support the appreciation of Brazilian assets.
• Historical data shows that sudden increases in implied volatility are often followed by market retracements or stabilization.

5. Future Developments

• The approach will be extended to other Latin American countries.
• It will be integrated with existing models to improve market views and strategies.
• The analysis was inspired by Michael Sneyd's research on MarFA: BNP Paribas Market Factor Analysis.

Key Information

• Explanatory Power: The first market factor explains 80–95% of the movement in Brazilian assets.
• Market Drivers: UST yield implied volatility, UST 10y yield, and VIX are key drivers, while political factors have a lesser impact.
• Systemic Risk Duration: High systemic risk periods last approximately 1.5 months.
• Non-Objective Research: The document is classified as non-independent research under UK FCA rules and marketing communication under MiFID.
• Legal Disclaimer:
  • The information is for informational purposes only.
  • No assurance is given regarding the accuracy or completeness of the data.
  • BNP Paribas may have conflicts of interest and may engage in transactions inconsistent with the views expressed.

Conclusion

The new market factor analysis for Latin America offers a valuable tool for understanding the interplay between domestic assets and external market factors. It provides insights into the current and future dynamics of asset prices, emphasizing the importance of external financial factors over local political events in driving market behavior. The framework is expected to enhance strategic decision-making and risk assessment in the region.