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所在平台: Udemy |
课程主页: https://www.udemy.com/course/canadian-corporate-finance/
课程评论：没有评论
课程名称：人工智能驱动的加拿大企业金融与财务建模 课程概述：通过将经过时间考验的理论与实际的AI工作流程和Excel驱动的模型结合起来，提升您对加拿大企业金融的理解。您将分析真实的多伦多证券交易所(TSX)上市公司，优化资本结构，进行实时数据估值，而生成式AI助手会大幅缩短建模时间并提供更深入的见解。到课程结束时，您将能够做出经过严格分析和自动压力测试支持的高管决策。 这门AI驱动课程的特点： - 从第一天开始，利用AI增强分析：使用类似于ChatGPT的代理程序抓取SEDAR+文件，清理数据，快速生成比率仪表板和信用风险红旗。 - Excel重度、以结果为导向的建模：构建三表模型和贴现现金流(DCF)模型，嵌入Python或Power Query自动化以获取实时数据，并通过AI辅助的蒙特卡洛模拟进行验证。 - 包含全球相关性的加拿大背景：探究国际财务报告准则(IFRS)、加拿大税务规则和TSX披露标准如何影响估值，同时提取世界范围内适用的经验教训。 - 深入资本预算：掌握净现值(NPV)、内部收益率(IRR)、偿还期和盈利指数，然后利用AI情景生成器测试商品价格波动、利率飙升或碳定价变化。 职业准备的交付成果：完成后，您将拥有一个完善的加权平均资本成本(WACC)仪表板、完整的资本预算模型以及可以在面试中展示的AI增强的股权估值报告。 每模块的学习旅程与实践AI联系： 1. 企业金融导论 - 理清公司目标、治理和代理冲突，促使GPT批评执行薪酬结构并提出治理调整建议。 2. 财务报表分析 - 深入分析收益质量和趋势比率，使用AI机器人将TSX文件与同行中位数进行基准比较。 3. 货币的时间价值 - 掌握折现和复利；生成自定义的提示驱动计算器，逐步解释Excel或Python中的每个步骤。 4. 债券估值与利率 - 考察收益率曲线和久期，利用LLM编写宏以自动提取和绘制当前加拿大银行数据。 5. 风险与回报 - 运用资本资产定价模型(CAPM)和多因子模型，利用向量数据库和AI搜索瞬间挖掘可比贝塔值和因子载荷。 6. 资本成本 - 计算WACC、融资成本和项目门槛，让AI标记异常假设并运行快速灵敏度分析。 7. 股票估值 - 实施DCF和相对估值，促使GPT编写一份用通俗语言阐释的估值备忘录，并附上总结图形。 8. 资本预算 - 评估NPV、IRR和偿还期；生成反映外汇波动、监管变化或环境、社会及治理(ESG)成本的AI驱动压力测试情景。 9. 资本结构 - 权衡杠杆与灵活性；利用助手模型进行资本重组、契约空间和债务服务覆盖比率的建模。 10. 分红政策 - 讨论剩余理论和客户效应；让LLM为股票分红修订准备一份包含利弊和同行数据的董事会简报。 11. 短期财务规划 - 构建滚动现金预算和到期匹配时间表；让AI创建一个动态的13周流动性预测，实时更新输入。 学生要求：需具备运行Excel 2019或Microsoft 365 (Windows或macOS) 的笔记本电脑或PC。可选Python (Anaconda)，以便探索更深入的自动化。无需先前编码经验，所有AI提示和脚本均按步骤提供。 关键收获： - 完全掌握加拿大企业金融基础知识，从货币时间价值到分红政策。 - 拥有个人AI工具箱，包括提示框架、可重用代码片段和可在工作中自适应的仪表板。 - 可展示的投资组合成果：资本预算模型、WACC分析和基于AI见解的TSX股权估值报告。 - 对治理标准、税务规则和资本市场趋势如何独特地影响加拿大企业决策的战略视角。 准备好提升您的金融职业生涯吗？加入一个快速增长的分析师和学生社区，借助AI的力量将电子表格转变为战略资产。立即报名，掌握加拿大企业金融，加速您的建模工作流程，并做出更聪明、更快速的投资决策。
Super-charge your understanding of Canadian corporate finance by pairing time-tested theory with hands-on AI workflows and Excel-driven models. You will dissect real TSX-listed companies, optimize capital structures, and run live-data valuations while generative-AI copilots slash modelling time and surface deeper insights. By the end, you will make board-ready decisions backed by rigorous analysis and automated scenario stress tests.Why This AI-Powered Course Stands OutAI-Enhanced Analysis from Day OneUse ChatGPT-style agents to scrape SEDAR+ filings, clean the data, and produce ratio dashboards and credit red-flags in seconds.Excel-Heavy, Outcome-Driven ModellingBuild three-statement and DCF models, embed Python or Power Query automations for live feeds, and validate with AI-assisted Monte Carlo simulations.Canadian Context with Global RelevanceExplore how IFRS nuances, Canadian tax rules, and TSX disclosure standards shape valuation, while extracting lessons applicable worldwide.Capital-Budgeting Deep DiveMaster NPV, IRR, payback, and profitability index, then let AI scenario generators test commodity shocks, interest-rate spikes, or carbon-pricing changes.Career-Ready DeliverablesGraduate with a polished WACC dashboard, a full capital-budgeting model, and an AI-augmented equity valuation report you can showcase in interviews.Module-by-Module Journey with Practical AI TouchpointsIntroduction to Corporate Finance - Clarify firm goals, governance, and agency conflicts. Prompt GPT to critique executive-compensation structures and propose governance tweaks.Financial Statement Analysis - Drill into quality of earnings and trend ratios. Deploy an AI bot that benchmarks TSX filings against peer medians.Time Value of Money - Master discounting and compounding; generate custom prompt-driven calculators that explain each step inside Excel or Python.Bond Valuation and Interest Rates - Examine yield curves and duration; have an LLM write a macro that pulls current Bank of Canada data and plots it automatically.Risk and Return - Apply CAPM and multi-factor models; use vector databases and AI search to surface comparable betas and factor loadings instantly.Cost of Capital - Calculate WACC, flotation costs, and project hurdles; let AI flag outlier assumptions and run a rapid-fire sensitivity grid.Stock Valuation - Perform DCF and relative valuation; prompt GPT to draft a plain-English valuation memo complete with summary graphics.Capital Budgeting - Evaluate NPV, IRR, and payback; generate AI-driven stress-test scenarios that reflect FX swings, regulatory shifts, or ESG costs.Capital Structure - Balance leverage and flexibility; use Copilot to model recapitalizations, covenant headroom, and debt-service coverage ratios.Dividend Policy - Debate residual theory and clientele effects; have the LLM assemble a board briefing on payout revisions with pros, cons, and peer-group data.Short-Term Financial Planning - Build rolling cash budgets and maturity-matching schedules; let AI create a dynamic 13-week liquidity forecast that updates with live inputs.Student RequirementsA laptop or PC running Excel 2019 or Microsoft 365 (Windows or macOS).Optional Python (Anaconda) if you wish to explore deeper automations-setup videos included.No prior coding experience needed; all AI prompts and scripts are provided step-by-step.Key TakeawaysComplete fluency in Canadian corporate-finance fundamentals-from time value of money through dividend policy.A personal AI tool-belt of prompt frameworks, reusable code snippets, and dashboards you can adapt on the job.Portfolio-worthy deliverables: a capital-budgeting model, a WACC analysis, and a TSX equity valuation report backed by AI insights.Strategic perspective on how governance standards, tax rules, and capital-market trends uniquely influence Canadian corporate decisions.Ready to Future-Proof Your Finance Career?Join a growing community of analysts and students who turn spreadsheets into strategic assets with the power of AI. Enroll now to master Canadian corporate finance, accelerate your modelling workflow, and make smarter, faster investment decisions.
