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Understanding and Applying Financial Risk Modeling Techniques

Course Summary

Financial risk modeling is at the intersection of two hot trends: Fintech and Big Data. This course covers three financial risk modeling techniques: covariance matrices, factor models, and value-at-risk.


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    Course Syllabus

    Course Overview
    - 1m 43s

    —Course Overview 1m 43s
    Understanding Financial Risk
    - 35m 34s

    —Risk and Uncertainty 7m 17s
    —Idiosyncratic and Systemic Risk 7m 3s
    —Case Studies in Risk Management 7m 52s
    —Mean and Variance 6m 39s
    —Covariance Matrices 3m 36s
    —Coming up Next 3m 5s
    Measuring Financial Risk Using Models
    - 38m 0s
    Implementing Financial Risk Models in Excel and VBA
    - 38m 51s
    Implementing Financial Risk Models in R
    - 28m 4s
    Implementing Financial Risk Models in Python
    - 29m 52s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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