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Financial Contagion Analysis

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Introduction

Financial contagion analysis traditionally relies on Excel's What-If Analysis tools to explore various scenarios and outcomes. Using Data Tables and Scenarios, analysts can test how different variables affect financial outcomes, though Excel limits scenarios to 32 values. Goal Seek helps determine input values for desired results.

Sourcetable offers a modern AI-powered alternative that combines spreadsheet functionality with natural language processing. This AI-driven platform accelerates financial analysis by automating formulas, data cleaning, and visualization. Its chatbot interface responds to plain language commands, making complex financial analysis accessible without advanced Excel knowledge.

Learn how Sourcetable's AI capabilities enhance financial contagion analysis through automated ratio analysis, trend analysis, and performance benchmarking. Try it yourself at https://app.sourcetable.com/signup.

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Why Sourcetable Is Superior for Financial Contagion Analysis

Sourcetable combines Excel's data structuring capabilities with advanced AI-powered analysis tools, making it the optimal platform for financial contagion analysis. While Excel relies on pivot tables for basic data presentation, Sourcetable's AI capabilities streamline complex financial analysis workflows and minimize human error.

Enhanced Risk Assessment Capabilities

Sourcetable's financial contagion analysis maps critical linkages between financial institutions and Financial Markets Infrastructures (FMIs). This mapping reveals concentration risks in financial systems and identifies potential contagion pathways that traditional Excel analysis might miss.

Advanced Analytical Methodologies

The platform supports sophisticated methodologies like CoMap, which estimates contagion potential through bilateral linkages while accounting for bank-specific default thresholds and network structure changes. SyRIN computation capabilities enable distress probability calculations using CDS spreads and bond prices, providing deeper insights than Excel's basic analytical tools.

Cross-Border Analysis

Sourcetable excels at analyzing cross-border exposures and interconnectedness in global banking networks. Its implementation of GVAR methodology processes macro-financial variables including GDP, inflation, exchange rates, and equity prices to assess international spillover risks.

Policy and Surveillance Support

Unlike Excel, Sourcetable's analysis directly supports IMF surveillance work, microprudential policy decisions, and macroprudential tool calibration. This makes it invaluable for financial stability assessment programs and global financial stability reporting.

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Benefits of Financial Contagion Analysis

Financial contagion analysis strengthens global financial systems by improving regulation and crisis prediction. Understanding contagion mechanisms helps policymakers enhance both international and domestic financial oversight while making markets more resilient to economic shocks.

This analysis reveals critical insights into stock price dynamics and helps distinguish between contagion effects and normal market interactions. By mapping the interconnections between financial institutions, it enables better assessment and mitigation of systemic crisis risks.

AI-Powered Analysis with Numerous.ai

Numerous.ai enhances financial contagion analysis through advanced data processing capabilities. The tool leverages ChatGPT to cleanse data, summarize large text volumes, and classify content into meaningful categories, streamlining the analytical process.

The platform's ability to normalize messy data and extract insights from complex financial texts makes it particularly valuable for contagion analysis. Its integration with both Excel and Google Sheets ensures seamless implementation into existing analytical workflows.

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Financial Contagion Analysis with Sourcetable AI

Sourcetable's AI-powered spreadsheet capabilities enable sophisticated financial contagion analysis through automated formula generation, data analysis, and chart creation. The platform supports regression analysis, econometric modeling, and correlation testing through its Python and SQL integration.

Historical Crisis Analysis

Analyze major financial contagion events like the 1997 Asian crisis, Great Depression, 2008 financial crisis, and COVID-19 pandemic using Sourcetable's AI-driven data cleaning and visualization tools.

Market Dynamics Analysis

Study stock market comovements and volatility transmission between markets through Sourcetable's automated chart generation and data analysis features. The platform supports implementation of VAR models for cross-country contagion analysis and multi-channel models for examining supply-chain relationships.

Advanced Econometric Tools

Leverage Sourcetable's Python integration to conduct sophisticated analyses using country-specific variables and cross-market linkages. The platform's AI capabilities streamline the creation of complex financial models for crisis transmission and stock price dynamics analysis.

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Financial Contagion Analysis Use Cases with Sourcetable

Sector Interdependency Analysis

Analyze relationships between Dow Jones industrial indices using SQL queries and Python-driven Bayesian networks. Generate interactive visualizations showing sector correlations during crisis periods.

Crisis Pattern Detection

Process historical financial data to identify contagion patterns across multiple crisis periods. Use automated data cleaning and AI-driven pattern recognition to detect early warning signals of financial contagion.

Insurance Risk Assessment

Analyze insurance sector interconnectedness with other industries using automated formula generation and complex network analysis. Track systemic risk propagation through the insurance market during volatile periods.

Cross-Market Contagion Tracking

Monitor relationships between major market indices like S&P500 and Bovespa using multivariate volatility models. Generate real-time reports showing contagion effects across international markets.

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Frequently Asked Questions

What is financial contagion analysis?

Financial contagion analysis studies how market disturbances spread from one country to another by examining correlations in asset returns during crisis periods. It focuses on co-movements in exchange rates, stock prices, sovereign spreads, and capital flows, particularly analyzing downside market disturbances.

What methods are used to analyze financial contagion?

Financial contagion analysis employs multiple methods including VAR models for contagion tests, country-specific variables to instrument foreign returns, and multi-channel models to study stock price dynamics across different network propagation channels.

How can financial contagion analysis be performed in Sourcetable?

In Sourcetable, financial contagion analysis can be performed using Kendall's tau-based asymmetric measure of comovements between time series. This involves simulating studies to evaluate test size performance and power, particularly focusing on exchange rate markets before and after financial crises.

Conclusion

While financial contagion analysis can be performed in Excel using complex formulas and stress testing models, Sourcetable offers a more efficient AI-powered alternative. Its integration with SQL and Python enables advanced data analysis capabilities, while automated formula generation handles functions like SUM and VLOOKUP. The platform's AI-driven insights and automated data cleaning features streamline the analysis process.

Sourcetable combines spreadsheet functionality with voice-driven data interaction and integration with over 100 platforms, making financial contagion assessment more accessible and comprehensive. For organizations seeking robust stress testing and market contagion analysis capabilities similar to Simudyne's platform, Sourcetable provides an intuitive, AI-enhanced solution.



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Frequently Asked Questions

If you question is not covered here, you can contact our team.

Contact Us
How do I analyze data?
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
What data sources are supported?
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
What data science tools are available?
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Can I analyze spreadsheets with multiple tabs?
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Can I generate data visualizations?
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
What is the maximum file size?
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Is this free?
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Is there a discount for students, professors, or teachers?
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Is Sourcetable programmable?
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.




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