The Application of Big Data Analysis Technology in Internal Audit of Financial Derivatives
International oil companies usually use financial derivatives for hedging to avoid risks caused by price changes and achieve risk hedging.Due to the high risk of financial derivatives,it is necessary to carry on audit to make them an effective tool for risk management.Based on Python language,collection,processing,and analysis of financial derivative data are conducted to check for issues in the execution of financial derivative operation plans.Big data analysis technology can empower the high-quality development of internal auditing,improve the quality and efficiency of auditing,and it is helpful to achieve the audit objectives of centralized,unified,authoritative,efficient,and comprehensive coverage.
Pythonbig data analysisfinancial derivativesinternal audit
NETL
NSTL
万方数据
维普
