Best ChatGPT prompts for Financial Risk Specialists

Given a portfolio consisting of 30% stocks, 40% bonds, and 30% commodities, with a VaR (Value-at-Risk) confidence level of 99%, calculate the potential loss over a 1-year horizon under the following scenarios: a 10% decline in stock prices, a 20% decline in bond prices, and a 15% increase in commodity prices. Consider historical data from the past 5 years, including volatility and correlation between assets. Provide a detailed breakdown of the portfolio's exposure to each scenario, including the expected loss and the contribution of each asset class to the total risk. Additionally, recommend a set of hedge positions to mitigate potential losses, assuming a budget of $100,000 for hedging instruments.

Create a comprehensive checklist for ensuring compliance with relevant financial regulations (such as Dodd-Frank, Basel III, and MiFID II) for a new financial product launch. The product is a hybrid security combining elements of both debt and equity. The checklist should cover requirements for disclosure, risk assessment, capital adequacy, and investor protection, among others. Assume the product will be offered in both the US and EU markets, and include any necessary filings or approvals from regulatory bodies such as the SEC and ESMA. Provide a timeline for completion of each task and identify the responsible personnel or departments.

Design a data quality audit protocol for a financial risk management system that ingests data from multiple sources, including external vendors and internal systems. The audit should check for data completeness, accuracy, timeliness, and consistency across different datasets. Assume the system uses a combination of relational databases and big data platforms for storage and analytics. Provide a step-by-step guide on how to perform the audit, including data sampling methods, data validation rules, and metrics for measuring data quality. Also, recommend actions for addressing any data quality issues found during the audit, such as data cleansing, data normalization, and process improvements.

Conduct an operational risk assessment for a financial institution that outsources its IT services, including network management, software development, and data center operations, to a third-party vendor. Identify potential risks related to vendor lock-in, data breaches, service disruptions, and non-compliance with regulatory requirements. Assess the likelihood and impact of each risk, and provide recommendations for mitigating or transferring these risks, such as through contractual agreements, insurance, or internal controls. Assume the vendor operates in a different geopolitical region with distinct regulatory and legal frameworks. Include a set of key risk indicators (KRIs) to monitor the vendor's performance and adherence to the agreed-upon service level agreements (SLAs).