CPE & Event Catalog

Analysis of financial statements for liquidity, asset utilization and solvency. Analysis of financial statements for profitability and market value.

How to leverage preliminary and substantive analytic procedures to improve the effectiveness and efficiency of financial statement audits. The required elements of a substantive analytic procedures to address detection risk. Tips and traps of applying an analytic approach to satisfy audit objectives. Explaining the usefulness of analyzing diverse trends and ratios in a nonprofit environment to meet the needs of various financial statement users. Common ratios and trends to assess liquidity, operating efficiency, leverage, and more.

Identifying risk of material misstatement through preliminary analytic review procedures. Ensuring sufficient appropriate audit evidence is gathered through final overall analytic review. Establishing expectations for analytic procedures. Properly designing, documenting and evaluating the results of substantive analytic review procedures. Disaggregating substantive analytics for stronger results. Factors impacting the design of substantive analytic procedures. Common pitfalls in performing substantive analytic procedures.

Review of the appropriate audit and review standards. Identifying appropriate analytical procedures in the circumstances. Developing expectations. Designing and performing analytical procedures. Investigating results of the procedures performed Introduction to data analytics.

Introduction to management accounting. Accumulation of costs. Break-even and cost-volume-profit analysis. Budgeting for profit planning and financial modeling. Performance evaluation, transfer pricing, and decentralization. Long-term investment and capital budgeting decisions.

The strategy process. Alternative approaches to strategy.

Identify threats. Evaluating the significance of threats. Identify and apply safeguards. Evaluating the effectiveness of safeguards. Documenting threats and safeguards.

Exploring AI applications in accounting and finance. Understanding AI features in everyday tools. Embracing the future: AI's impact on finance and accounting.

Understanding artificial intelligence and its relevance to auditing. Applications of AI in auditing. Fraud detection and anomaly identification. Ethical considerations in using AI for auditing. Legal and regulatory developments. Practical strategies for implementing AI in audit practices.

Fraud studies and statistics. Fraudulent financial reporting risk factors. Misappropriation of assets. Auditing. Identifying and assessing risks. Assessment results response. Revenue recognition fraud. Disclosure failures. Studying fraud schemes.

Basic protection concepts and fraudulent transfers. Insurance. Individual titles and sole proprietorship. Corporations. Trusts. Co-tenancies. Partnerships. Limited liability companies. Marital property and separate property. Premarital and post-nuptial agreements.

Financial tax planning. Deferral. Income splitting.

Website. Directories. Content marketing. SEO. Social media. Online ads.

Test of controls. Professional skepticism. Evaluate external auditor's opinion.

AU-C Section 210, Terms of Engagement. AU-C Section 260, The Auditor's Communication with Those Charged with Governance. AU-C Section 505, External Confirmations. AU-C Section 580, Written Representations. AU-C Section 265, Communicating Internal Control Related Matters Identified in an Audit. AU-C Section 501, Audit Evidence-Specific Considerations for Selected Items.

Audit digitization. Consequences for the audit expectation gap.

Creating workpapers that pass review.

Red flags in financial and revenue reporting. Financial statement irregularities. Key financial ratios and benchmarks. Unusual accounting practices. Using analytics and trend analysis. Revenue recognition red flags. Common methods of fraudulent revenue recognition. Behavioral cues in fraud detection. Key indicators of stress or unusual behavior, and more.

Ensuring high-quality audit engagements.

Red flags in financial and revenue reporting. Financial statement irregularities. Key financial ratios and benchmarks. Unusual accounting practices. Using analytics and trend analysis. Revenue recognition red flags. Common methods of fraudulent revenue recognition. Detecting improper revenue recognition. Behavioral cues in fraud detection. Key indicators of stress or unusual behavior. Using interviews and observation to identify behavioral red flags, and more.