Our comprehensive code package allows you to empirically investigate the crash risk and the cross-section of cryptocurrency returns. With this code, you ca

– Complete Data Processing Pipeline: Clean and prepare cryptocurrency price data from Coinmarketcap.com, handling issues like missing values, duplicates, and outliers

– Crash Risk Measures Implementation: Calculate NCSKEW (negative conditional skewness) and DUVOL (down-to-up volatility) to identify crash-prone cryptocurrencies

– Portfolio Analysis Tools: Construct and analyze quintile portfolios based on crash risk measures

– Factor Model Implementation: Apply the cryptocurrency three-factor model (market, size, momentum)

– Cross-Sectional Analysis: Run Fama-MacBeth regressions to determine the relationship between crash risk and expected returns

– Extended Cryptocurrency Characteristics: Calculate over 20 cryptocurrency-specific variables including momentum, size, volume, and volatility metrics

– Robust Statistical Tests: Perform univariate, bivariate, and regression analyses with Newey-West adjustments

– Long-Term Return Analysis: Examine the relationship between crash risk and returns over different time horizons (1-12 weeks)

– Sub-Sample Analysis: Test the robustness of findings across different time periods, including pre-COVID, during-COVID, and post-COVID periods

– Visualization Tools: Generate tables and graphs to effectively communicate your findings

Our Stata Code

We have developed easy to use yet robust codes for the above steps. The codes need just a basic understanding of Stata. Further, our comments on each line of code make the code easy to run and understand.  We normally share all Stata files, the raw data files, the final files that result from the completed project, and Stata codes with comments. The purpose is to help researchers to learn and apply these codes on their own. We also try to answer questions that might arise when the researcher applies these codes.

Pricing

Each of the above item is available for £99 with some example data. The complete project is available for £399.

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For further details and inquiries, please don’t hesitate to contact us at the following:

attaullah.shah@imsciences.edu.pk

Stata.Professor@gmail.com

See our full list of completed projects

Project tags
– cryptocurrency crash risk
– crypto portfolio optimization
– NCSKEW analysis
– DUVOL cryptocurrency
– crypto factor models
– cryptocurrency risk management
– crypto market volatility
– Fama-MacBeth regressions crypto
– quantitative cryptocurrency analysis
– crypto investment strategy