融跃教育

FRM一级快速通关APS智播课-双语版

价格: 7980.00

课程简介: FRM中文考试升级课程。该课程由融跃教育FRM研究院拥有多年工作经验与教学经验的精英讲师亲自授课,紧贴FRM考试新大纲,通过直播师生互动、录播回放巩固复习等多元化的教学方式,辅以高品质的在线学习平台,突破传统教学的限制。享受专属班主任督学、定制学习计划、不限次数答疑、社群学习等模式,让学员在学到知识的同时,快速通过考试。

视频有效期:12个月

视频时长:约未统计

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  • FRM一级快速通关APS智播课-双语版

基础精讲班

  • 1.估值与风险模型

    • Introduction

    • 1 - Measures of Financial Risk

    • 2 - Calculating and Applying VaR

    • 3 - Measuring and Monitoring Volatility

    • 4 - External and Internal Ratings

    • 5 - Country Risk: Determinants, Measures, and Implications

    • 6 - Measuring Credit Risk

    • 7 - Operational Risk

    • 8 - Stress Testing

    • 9 - Pricing Conventions, Discounting, and Arbitrage

    • 10 - Interest Rates

    • 11 - Bond Yields and Return Calculations

    • 12 - Applying Duration, Convexity, and DV01

    • 13 - Modeling Non-Parallel Term Structure Shifts and Hedging

    • 14 - Binomial Trees

    • 15 - The Black-Scholes-Merton Model

    • 16 - Option Sensitivity Measures: The “Greeks”

  • 2.金融市场产品

    • 1 - Banks

    • 2 - Insurance Companies and Pension Plans

    • 3 - Funds Management

    • 4 - Exchanges and OTC Markets

  • 3.风险管理基础

    • introduction

    • 1 - The Building Blocks of Risk Management

    • 2 - How Do Firms Manage Financial Risk?

    • 3 - The Governance of Risk Management

    • 4 - Credit Risk Transfer Mechanisms

    • 5 - Modern Portfolio Theory and Capital Asset Pricing Model

    • 6 - The APT and Multifactor Models of Risk and Return

    • 7 - Principles for Effective Data Aggregation and Risk Reporting

    • 8 - Enterprise Risk Management and Future Trends

    • 9 - Learning from Financial Disasters

    • 10 - Anatomy of the Great Financial Crisis of 2007-2009

    • 11 - GARP Code of Conduct

  • 4.数量分析

    • Introduction

    • 1- Fundamentals of probability

    • 2 - Random variables

    • 3 - Common Univariate Random Variables

    • 4 - Multivariate Random Variables

    • 5 - Sample moments

    • 6 - Hypothesis Testing

    • 7 - Linear Regression

    • 8 - Regression with Multiple Explanatory Variables

    • 9 - Regression Diagnosis

    • 10 - Stationary Time Series

    • 11 - Non-Stationary Time Series

    • 12 - Measuring Returns, Volatility, and Correlation

    • 13 - Simulation and Bootstrapping

    • 14 - Machine-Learning Methods

    • 15 - Machine Learning and Prediction

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